2020-21 bulletin: mckelvey school of engineering graduate … · 2021. 1. 20. · master of science...
TRANSCRIPT
2020–21 BulletinMcKelvey School of Engineering Graduate Programs
Bul le t in 2020-21Table o f Contents (11 /06 /20)
Table of ContentsAbout This Bulletin .......................................................................................................................................................................................... 3
About Washington University in St. Louis ...................................................................................................................................................... 4
Trustees & Administration ........................................................................................................................................................................ 4
Academic Calendar .................................................................................................................................................................................. 4
Campus Resources .................................................................................................................................................................................. 5
University Policies .................................................................................................................................................................................... 8
University Affiliations .............................................................................................................................................................................. 13
McKelvey School of Engineering .................................................................................................................................................................. 15
Doctoral Degrees ................................................................................................................................................................................... 15
Master's Degrees ................................................................................................................................................................................... 16
Fields of Study ....................................................................................................................................................................................... 17
Biomedical Engineering ................................................................................................................................................................... 17
PhD and Combined MD/PhD in Biomedical Engineering ......................................................................................................... 24
Master of Science (MS) in Biomedical Engineering ................................................................................................................. 25
Computational & Data Sciences ..................................................................................................................................................... 25
Computer Science & Engineering ................................................................................................................................................... 29
PhD in Computer Science or Computer Engineering ............................................................................................................... 39
Master of Science (MS) in Computer Science ......................................................................................................................... 40
Master of Science (MS) in Computer Engineering ................................................................................................................... 40
Master of Science (MS) in Cybersecurity Engineering ............................................................................................................. 41
Master of Engineering (MEng) in Computer Science and Engineering .................................................................................... 42
Certificate in Data Mining and Machine Learning .................................................................................................................... 42
Certificate in Cybersecurity Engineering ................................................................................................................................... 43
Electrical & Systems Engineering ................................................................................................................................................... 43
Doctoral Degrees ...................................................................................................................................................................... 51
Master of Science in Electrical Engineering (MSEE) ............................................................................................................... 52
Master of Science in Systems Science & Mathematics (MSSSM) ........................................................................................... 53
Master of Science in Data Analytics and Statistics (MSDAS) .................................................................................................. 53
Master of Science (MS) in Computer Engineering ................................................................................................................... 54
Master of Control Engineering (MCEng) .................................................................................................................................. 55
Master of Engineering in Robotics (MEngR) ............................................................................................................................ 55
Certificate in Imaging Science & Engineering (IS&E) .............................................................................................................. 56
Energy, Environmental & Chemical Engineering ............................................................................................................................ 58
PhD in Energy, Environmental & Chemical Engineering (EECE) ............................................................................................ 64
Master of Science (MS) in Energy, Environmental & Chemical Engineering (EECE) .............................................................. 64
1
Bul le t in 2020-21Table o f Contents (11 /06 /20)
Master of Engineering (MEng) in Energy, Environmental & Chemical Engineering (EECE) .................................................... 64
Combined Master of Engineering/Master of Business Administration (MEng/MBA) ................................................................. 65
Imaging Science (Interdisciplinary PhD) ......................................................................................................................................... 65
Materials Science & Engineering .................................................................................................................................................... 70
Mechanical Engineering & Materials Science ................................................................................................................................. 76
Doctoral Degrees ...................................................................................................................................................................... 86
Master of Science in Mechanical Engineering (MSME) ........................................................................................................... 86
Master of Science in Aerospace Engineering (MSAE) ............................................................................................................. 87
Master of Science (MS) in Materials Science and Engineering ............................................................................................... 88
Master of Engineering (MEng) in Mechanical Engineering ...................................................................................................... 88
Henry Edwin Sever Institute ............................................................................................................................................................ 89
Construction Management ........................................................................................................................................................ 97
Cybersecurity Management ...................................................................................................................................................... 98
Engineering Management ......................................................................................................................................................... 99
Health Care Operational Excellence ....................................................................................................................................... 100
Information Systems Management ......................................................................................................................................... 101
Project Management ............................................................................................................................................................... 102
Degrees Offered ................................................................................................................................................................................... 103
Administration ....................................................................................................................................................................................... 104
Admissions ........................................................................................................................................................................................... 104
Academic Policies ................................................................................................................................................................................ 105
Financial Information ............................................................................................................................................................................ 108
Interdisciplinary Opportunities ..................................................................................................................................................................... 110
Inter-University Exchange Program ..................................................................................................................................................... 110
Skandalaris Center for Interdisciplinary Innovation and Entrepreneurship .......................................................................................... 111
Index ............................................................................................................................................................................................................ 113
2
Bul le t in 2020-21About Th is Bul le t in (11 /06 /20)
About This BulletinThe graduate and professional Bulletins are the catalogs ofprograms, degree requirements and policies of the followingschools of Washington University in St. Louis: Architecture &Urban Design; Art; Arts & Sciences; Business; Engineering; Law;Medicine; and Social Work & Public Health.
The University College Bulletin is the catalog of UniversityCollege, the professional and continuing education divisionof Arts & Sciences at Washington University in St. Louis.The catalog includes programs, degree requirements, coursedescriptions and pertinent university policies for students earninga degree through University College.
The 2020-21 Bulletin is entirely online but may be downloadedin PDF format for printing. Individual pages may be downloadedin PDF format using the "Download This Page as a PDF" optionon each page. To download the full PDF, please choose from thefollowing:
• Architecture & Urban Design Bulletin (PDF) (http://bulletin.wustl.edu/grad/Bulletin_2020-21_Grad_Arch.pdf)
• Art Bulletin (PDF) (http://bulletin.wustl.edu/grad/Bulletin_2020-21_Grad_Art.pdf)
• Arts & Sciences Bulletin (PDF) (http://bulletin.wustl.edu/grad/Bulletin_2020-21_Grad_School.pdf)
• Business Bulletin (PDF) (http://bulletin.wustl.edu/grad/Bulletin_2020-21_Grad_Business.pdf)
• Engineering Bulletin (PDF) (http://bulletin.wustl.edu/grad/Bulletin_2020-21_Grad_Engineering.pdf)
• Law Bulletin (PDF) (http://bulletin.wustl.edu/grad/Bulletin_2020-21_Law.pdf)
• Medicine Bulletin (PDF) (http://bulletin.wustl.edu/grad/Bulletin_2020-21_Medicine.pdf)
• Social Work & Public Health Bulletin (PDF) (http://bulletin.wustl.edu/grad/Bulletin_2020-21_Brown.pdf)
• University College Bulletin (undergraduate &graduate) (PDF) (http://bulletin.wustl.edu/grad/Bulletin_2020-21_UCollege.pdf)
The degree requirements and policies in the 2020-21 Bulletinapply to students entering Washington University during the2020-21 academic year.
Every effort is made to ensure that the information, applicablepolicies and other materials presented in the Bulletin areaccurate and correct as of the date of publication (November6, 2020). Washington University reserves the right to makechanges at any time without prior notice. Therefore, theelectronic version of the Bulletin may change from time to time
without notice. The governing document at any given time isthe then-current version of the Bulletin, as published online,and then-currently applicable policies and information are thosecontained in that Bulletin.
For the most current information about available courses andclass scheduling, visit WebSTAC (https://acadinfo.wustl.edu).Please email the Bulletin editor ([email protected]) withany questions concerning the Bulletin.
3
Bul le t in 2020-21About Washington Univers i ty in St . Louis (11 /06 /20)
About WashingtonUniversity in St.LouisWho We Are TodayWashington University in St. Louis — a medium-sized,independent university — is dedicated to challenging itsfaculty and students alike to seek new knowledge and greaterunderstanding of an ever-changing, multicultural world. Theuniversity is counted among the world's leaders in teaching andresearch, and it draws students from all 50 states, the District ofColumbia, Guam, Puerto Rico and the Virgin Islands. Studentsand faculty come from more than 100 countries around theworld.
The university offers more than 250 programs and 5,500courses leading to associate, bachelor's, master's, and doctoraldegrees in a broad spectrum of traditional and interdisciplinaryfields, with additional opportunities for minor concentrationsand individualized programs. For more information about theuniversity, please visit the University Facts (http://wustl.edu/about/facts/) page of our website.
Enrollment by SchoolFor enrollment information (https://wustl.edu/about/university-facts/#students), please visit the University Facts page of ourwebsite.
Committed to Our Students: MissionStatementWashington University's mission is to discover and disseminateknowledge and to protect the freedom of inquiry throughresearch, teaching and learning.
Washington University creates an environment that encouragesand supports an ethos of wide-ranging exploration. WashingtonUniversity's faculty and staff strive to enhance the lives andlivelihoods of students, of the people of the greater St. Louiscommunity, of the country and of the world.
Our goals are as follows:
• to welcome students, faculty and staff from all backgroundsto create an inclusive community that is welcoming, nurturingand intellectually rigorous;
• to foster excellence in our teaching, research, scholarshipand service;
• to prepare students with the attitudes, skills and habits oflifelong learning and leadership, thereby enabling them to beproductive members of a global society; and
• to be an institution that excels by its accomplishments in ourhome community of St. Louis as well as in the nation and theworld.
To this end, we intend to do the following:
• to judge ourselves by the most exacting standards;
• to attract people of great ability from diverse backgrounds;
• to encourage faculty and students to be bold, independentand creative thinkers;
• to provide an exemplary, respectful and responsiveenvironment for living, teaching, learning and working forpresent and future generations; and
• to focus on meaningful, measurable results for all of ourendeavors.
Trustees & AdministrationBoard of TrusteesPlease visit the Board of Trustees website (http://boardoftrustees.wustl.edu) for more information.
University AdministrationIn 1871, Washington University co-founder and then-ChancellorWilliam Greenleaf Eliot sought a gift from Hudson E. Bridge,charter member of the university's Board of Directors, to endowthe chancellorship. Soon it was renamed the "Hudson E. BridgeChancellorship."
Led by the chancellor, the officers of the university administration(http://wustl.edu/about/leadership/) are detailed on the universitywebsite.
Academic CalendarThe academic calendar of Washington University in St. Louis isdesigned to provide an optimal amount of classroom instructionand examination within a manageable time frame, facilitating oureducational mission to promote learning among both studentsand faculty. Individual schools — particularly our graduate andprofessional schools — may have varying calendars due to thenature of particular fields of study. Please refer to each school’swebsite for more information.
Fall Semester 2020College of Arts & Sciences, McKelvey School ofEngineering, Olin Business School, Sam Fox School ofDesign & Visual Arts, and University College
4
Bul le t in 2020-21About Washington Univers i ty in St . Louis (11 /06 /20)
Date Day Description
September 14 Monday First day of classes
November 26-27 Thursday-Friday Thanksgiving break(no classes)
December 18 Friday Last day of classes
January 4-10, 2021 Monday-Sunday Final exams (remote)
Brown School at Washington University
Date Day Description
August 24 Monday First day of classes
September 7 Monday Labor Day holiday
November 26-27 Thursday-Friday Thanksgiving break(no classes)
December 16 Wednesday Last day of classes
Washington University Law
Date Day Description
August 24 Monday First day of classes
September 7 Monday Labor Day holiday
November 20 Friday Last day of classes
November 30-December 11
Monday-Friday Final exams (remote)
Spring Semester 2021College of Arts & Sciences, McKelvey School ofEngineering, Olin Business School, Sam Fox School ofDesign & Visual Arts, and University College
Date Day Description
January 25 Monday First day of classes
March 15-19 Monday-Friday Spring break (noclasses)
May 6 Thursday Last day of classes
May 7-13 Friday-Thursday Final exams
Brown School at Washington University
Date Day Description
January 19 Tuesday First day of classes
March 15-19 Monday-Friday Spring break (noclasses)
May 12 Wednesday Last day of classes
Washington University Law
Date Day Description
January 19 Tuesday First day of classes
March 15-19 Monday-Friday Spring break (noclasses)
April 23 Friday Last day of classes
April 26-May 7 Monday-Friday Final exams
Commencement Ceremonies
Date Day Description
May 21 Friday Class of 2021Commencement
May 30 Sunday Class of 2020Commencement
Summer Semester 2021Date Day Description
May 24 Monday First Summer Sessionbegins
May 31 Monday Memorial Day holiday
July 5 Monday Independence Dayholiday
August 19 Thursday Last Summer Sessionends
Washington University recognizes the individual student’s choicein observing religious holidays that occur during periods whenclasses are scheduled. Students are encouraged to arrange withtheir instructors to make up work missed as a result of religiousobservance, and instructors are asked to make every reasonableeffort to accommodate such requests.
Campus ResourcesStudent Support ServicesThe Learning Center is located on the ground floor of GreggHouse on the South 40, and it is the hub of academic support atWashington University in St. Louis. We provide undergraduatestudents with assistance in a variety of forms. Most servicesare free, and each year more than 2,000 students participatein one or more of our programs. For more information, visit theLearning Center website (https://learningcenter.wustl.edu/) orcall 314-935-5970. There are three types of services housedwithin the Learning Center:
• Academic Mentoring Programs offer academic supportin partnership with the academic departments in a varietyof forms. Academic mentoring programs are designedto support students in their course work by helping themdevelop the lifelong skill of "learning how to learn" and bystimulating their independent thinking. Programs includecourse-specific weekly structured study groups facilitatedby highly trained peer leaders as well as course-specificweekly walk-in sessions facilitated by academic mentorsin locations, at times and in formats convenient for thestudents. The Learning Center also offers individualconsulting/coaching for academic skills such as timemanagement, study skills, note taking, accessing resourcesand so on. Other services include fee-based graduate andprofessional school entrance preparation courses.
5
Bul le t in 2020-21About Washington Univers i ty in St . Louis (11 /06 /20)
• Disability Resources supports students with disabilities byfostering and facilitating an equal access environment forthe Washington University community of learners. DisabilityResources partners with faculty and staff to facilitateacademic and housing accommodations for students withdisabilities on the Danforth Campus. Students enrolledin the School of Medicine should contact their program'sdirector. Please visit the Disability Resources website(https://students.wustl.edu/disability-resources/) or contactthe Learning Center at 314-935-5970 for more information.
• TRIO: Student Support Services is a federallyfunded program that provides customized services forundergraduate students who are low income, who arethe first in their family to go to college, and/or who have adocumented disability. Services include academic coaching,academic peer mentoring, cultural and leadership programs,summer internship assistance and post-graduation advising.First-year and transfer students are considered for selectionduring the summer before they enter their first semester.Eligible students are encouraged to apply when they arenotified, because space in this program is limited. Formore information, visit the TRIO Program website (https://students.wustl.edu/trio-program/).
Medical Student Support Services. For information aboutMedical Student Support Services, please visit the School ofMedicine website (https://medicine.wustl.edu).
Office for International Students and Scholars. If a student isjoining the university from a country other than the United States,this office can assist that individual through their orientationprograms, issue certificates of eligibility (visa documents), andprovide visa and immigration information. In addition, the officeprovides personal and cross-cultural counseling and arrangessocial, cultural and recreational activities that foster internationalunderstanding on campus.
The Office for International Students and Scholars is located onthe Danforth Campus in the Danforth University Center at 6475Forsyth Boulevard, Room 330. The office can be found on theMedical Campus in the Mid Campus Center (MCC Building) at4590 Children's Place, Room 2043. For more information, visitthe Office for International Students and Scholars website (http://oiss.wustl.edu) or call 314-935-5910.
Office of Military and Veteran Services is located in UmrathHall on the Danforth Campus. This office serves as theuniversity’s focal point for military and veteran matters, includingtransitioning military-connected students into higher education,providing and connecting students with programs and services,and partnering across campus and in the community. Servicesinclude advising current and prospective students on how tonavigate the university and maximize Department of Defenseand Veterans Affairs (VA) educational benefits, transitionsupport, Veteran Ally training for faculty and staff, veteran-unique programming, and connecting students to campus and
community resources. Military-connected students includeveterans, military service members, spouses, dependentchildren, caregivers, survivors and Reserve Officer Training Corpcadets. There are two university policies that apply to studentswho still serve in the Armed Forces and students who use VAeducational benefits:
• The Policy on Military Absences, Refunds and Readmissions(https://veterans.wustl.edu/policies/policy-for-military-students/) applies to students serving in the U.S. ArmedForces and their family members when military serviceforces them to be absent or withdraw from a course of study.
• The Policy on Protections for VA Educational Benefit Users(https://veterans.wustl.edu/policies/policy-for-va-students/)applies to students using VA education benefits whenpayments to the institution and the individual are delayedthrough no fault of the student.
Please visit the Military and Veteran Services website (https://veterans.wustl.edu/) or send an email to [email protected] formore information.
Relationship and Sexual Violence Prevention (RSVP) Center.The RSVP Center offers free and confidential services including24/7 crisis intervention, counseling services, resources, supportand prevention education for all students on the DanforthCampus. The RSVP Center operates from a public health modeland uses trauma-informed practices to address the prevalentissues of relationship and sexual violence. By providing supportfor affected students, it is our goal to foster post-traumaticgrowth and resilience and to help ensure academic retention andsuccess. Our prevention efforts call for community engagementto engender an intolerance of violence and an active stancetoward challenging cultural injustices that perpetuate suchissues. Learn more at the RSVP Center website (https://rsvpcenter.wustl.edu/).
WashU Cares. WashU Cares assists the university withhandling situations involving the safety and well-being ofDanforth Campus students. WashU Cares is committedto fostering student success and campus safety througha proactive, collaborative and systematic approach to theidentification of, intervention with and support of students ofconcern while empowering all university community members tocreate a culture of caring. If there is a concern about the physicalor mental well-being of a student, please visit the WashU Careswebsite (https://washucares.wustl.edu/) to file a report.
The Writing Center. The Writing Center, a free service, offerswriting advice to all Washington University undergraduate andgraduate students. Tutors will read and discuss any kind of workin progress, including student papers, senior theses, applicationmaterials, dissertations and oral presentations. The WritingCenter staff is trained to work with students at any stage ofthe writing process, including brainstorming, developing and
6
Bul le t in 2020-21About Washington Univers i ty in St . Louis (11 /06 /20)
clarifying an argument, organizing evidence, and improving style.Rather than editing or proofreading, tutors will emphasize theprocess of revision and teach students how to edit their ownwork.
The Writing Center is located in Mallinkrodt Center on the lowerlevel. Appointments (http://writingcenter.wustl.edu) are preferredand can be made online.
Student Health Services, DanforthCampusHabif Health and Wellness Center, formerly known as StudentHealth Services, provides medical and mental health care forundergraduate and graduate students. Habif staff membersinclude licensed professionals in Medical Services, MentalHealth Services and Health Promotion Services. Please visitDardick House on the South 40 or the Habif Health and WellnessCenter website (http://shs.wustl.edu) for more information aboutHabif's services and staff members.
Hours:Monday, Tuesday and Thursday 8 a.m.-6 p.m.Wednesday 10 a.m.-6 p.m.Friday 8 a.m.-5 p.m.Saturday 9 a.m.-1 p.m.
A nurse answer line and after hours mental health crisis lineare available to answer any medical or mental health questionsa student may have when Habif is closed. For after-hours care,please call 314-935-6666.
Medical Services staff members provide care for the evaluationand treatment of an illness or injury, preventive health care andhealth education, immunizations, nutrition counseling, physicaltherapy, and travel medicine and sexual health services. HabifHealth and Wellness Center providers are participating membersof the Washington University in St. Louis Physician's Network.Any condition requiring specialized medical services will bereferred to an appropriate specialist. Habif accepts most healthinsurance plans and will be able to bill the plan according to planbenefits. The student health insurance plan requires a referralfor medical care any time care is not provided at Habif (except inan emergency). Call 314-935-6666 or visit the Habif website toschedule an appointment (http://shs.wustl.edu).
Appointments are also available for the assessment, treatment,and referral of students who are struggling with substanceabuse.
The Habif Health and Wellness Center pharmacy is available toall Washington University students and their dependents whoparticipate in the student health insurance plan. The pharmacyaccepts most prescription insurance plans; students shouldcheck with the pharmacist to see if their prescription plan isaccepted at the pharmacy.
The Habif Health and Wellness Center lab provides fulllaboratory services. Approximately 20 tests can be performedin the lab. The remainder of all testing that is ordered by Habifis completed by LabCorp. LabCorp serves as Habif's referencelab, and it is a preferred provider on the student health insuranceplan. This lab can perform any test ordered by Habif providers oroutside providers.
All incoming students must provide proof of immunizationfor measles, mumps, and rubella (i.e., two vaccinations afterthe age of one year old; a titer may be provided in lieu of theimmunizations). Proof of receiving a meningococcal vaccine isrequired for all incoming undergraduate students. A PPD skintest in the past six months is required for students entering theuniversity from certain countries; this list of countries may befound on the Habif website. It is also recommended that, duringthe five years before beginning their studies at WashingtonUniversity, all students will have received the tetanus diphtheriaimmunization, the hepatitis A vaccine series, the hepatitis Bvaccine series, and the varicella vaccine. Medical History Forms(http://shs.wustl.edu) are available online. Failure to completethe required forms will delay a student's registration and preventtheir entrance into housing assignments. Please visit the Habifwebsite for complete information about requirements anddeadlines (http://shs.wustl.edu).
Mental Health Services staff members work with students toresolve personal and interpersonal difficulties, including conflictswith or worry about friends or family, concerns about eating ordrinking patterns, and feelings of anxiety and depression. Staffmembers help each person figure out their own situation.Services include individual, group and couples counseling;crisis counseling; psychiatric consultation; and referral for off-campus counseling. Call 314-935-6666 or visit the Habif websiteto schedule an appointment (http://shs.wustl.edu).
Health Promotion Services provides free programs and riskreduction information related to issues such as stress, sleep,sexual health and alcohol/other drugs. For more information,visit the Zenker Wellness Suite in Sumers Recreation Centerto learn about the programs on campus led by student peerhealth educators. Call 314-935-7139 or send an email [email protected] for more information.
In 2018, this department launched the WashU Recover Groupto provide an opportunity for students in recovery from substanceuse to connect with other students with similar experiences.The group provides local resources, support, meetings andactivities. Members have 24/7 access to a private facilityto study, meet and socialize. The group is not a recoveryprogram; it is a confidential resource that students can add totheir support system. For more information, send an email [email protected].
7
Bul le t in 2020-21About Washington Univers i ty in St . Louis (11 /06 /20)
Important Information About HealthInsurance, Danforth CampusWashington University has a student health fee that wasdesigned to improve the health and wellness of the entireWashington University community. This fee supports healthand wellness services and programs on campus. In addition, allfull-time, degree-seeking Washington University students areautomatically enrolled in the Student Health Insurance Plan uponcompletion of registration. Students may opt out of this coverageif they provide proof of existing comprehensive insurancecoverage. Information concerning opting out of the studenthealth insurance plan (http://shs.wustl.edu) can be found onlineafter June 1 of each year. Habif provides billing services to manyof the major insurance companies in the United States. Specificfees and co-pays apply to students using Medical Servicesand Mental Health Services; these fees may be billable to thestudents' insurance plan. More information is available on theHabif Health and Wellness Center website (http://shs.wustl.edu).
Student Health Services, MedicalCampusFor information about student health services on the MedicalCampus, please visit the Student & Occupational HealthServices page (https://wusmhealth.wustl.edu/students/) of theSchool of Medicine website.
Campus SecurityThe Washington University campus is among the most attractivein the nation, and it enjoys a safe and relaxed atmosphere.Your personal safety and the security of your property while oncampus is a shared responsibility. Washington University hasmade safety and security a priority through our commitment toa full-time professional police department, the use of closed-circuit television, card access, good lighting, shuttle services,emergency telephones, and ongoing educational safetyawareness programs. The vast majority of crimes that occuron college campuses are crimes of opportunity, which can beprevented.
The best protection against crime is an informed and alertcampus community. Washington University has developedseveral programs to help make your experience here a safe andsecure one. An extensive network of emergency telephones —including more than 200 "blue light" telephones — is connecteddirectly to the University Police Department and can alert thepolice to your exact location. In addition to the regular shuttleservice, an evening walking escort service and a mobile CampusCirculator shuttle are available on the Danforth Campus.
The Campus2Home shuttle will provide a safe ride home forthose living in four designated areas off campus — Skinker-DeBaliviere, Loop South, north of the Loop, and just south of thecampus — from 6:00 p.m. to 4:00 a.m. seven days a week. Theshuttle leaves from the Mallinckrodt Center every 30 minutes and
takes passengers directly to the front doors of their buildings.Shuttle drivers will then wait and watch to make sure passengersget into their buildings safely. Community members can track theshuttle in real time using the WUSTL Mobile App. The app canbe downloaded free of charge from the Apple App Store or theGoogle Play Store.
The University Police Department is a full-service organizationstaffed by certified police officers who patrol the campus 24hours a day throughout the entire year. The department offers avariety of crime prevention programs, including a high-securitybicycle lock program, free personal-safety whistles, computersecurity tags, personal safety classes for women and men,and security surveys. Community members are encouragedto download and install the personal safety app Noonlighton their phones; this app allows users to call for help duringemergencies. For more information about these programs, visitthe Washington University Police Department website (https://police.wustl.edu/Pages/Home.aspx).
In compliance with the Campus Crime Awareness and SecurityAct of 1990, Washington University publishes an annual report(http://police.wustl.edu/clerylogsandreports/Pages/default.aspx)entitled Safety & Security: Guide for Students, Faculty, andStaff — Annual Campus Security and Fire Safety Reportsand Drug & Alcohol Abuse Prevention Program. This reportis available to all current and prospective students on theDanforth Campus and to university employees on the Danforth,North and West campuses. To request a hard copy, contactthe Washington University Police Department, CB 1038, OneBrookings Drive, St. Louis, MO 63130-4899, 314-935-9011.
For information regarding protective services at theSchool of Medicine, please visit the Security page (https://facilities.med.wustl.edu/security/) of the Washington UniversityOperations & Facilities Management Department.
University PoliciesWashington University has various policies and proceduresthat govern our faculty, staff and students. Highlighted beloware several key policies of the university. Web links to keypolicies and procedures are available on the Office of theUniversity Registrar website (http://registrar.wustl.edu) and onthe university's Compliance and Policies page (http://wustl.edu/policies/). Please note that the policies identified on thesewebsites and in this Bulletin do not represent an entire repositoryof university policies, as schools, offices and departments mayimplement policies that are not listed. In addition, policies may beamended throughout the year.
8
Bul le t in 2020-21About Washington Univers i ty in St . Louis (11 /06 /20)
Nondiscrimination StatementWashington University encourages and gives full considerationto all applicants for admission, financial aid and employment.The university does not discriminate in access to or treatment oremployment in its programs and activities on the basis of race,color, age, religion, sex, sexual orientation, gender identity orexpression, national origin, veteran status, disability or geneticinformation.
Policy on Discrimination andHarassmentWashington University is committed to having a positive learningand working environment for its students, faculty and staff.University policy prohibits discrimination on the basis of race,color, age, religion, sex, sexual orientation, gender identity orexpression, national origin, veteran status, disability or geneticinformation. Harassment based on any of these classificationsis a form of discrimination; it violates university policy and willnot be tolerated. In some circumstances, such discriminatoryharassment may also violate federal, state or local law. A copy ofthe Policy on Discrimination and Harassment (http://hr.wustl.edu/policies/Pages/DiscriminationAndHarassment.aspx) is availableon the Human Resources website.
Sexual HarassmentSexual harassment is a form of discrimination that violatesuniversity policy and will not be tolerated. It is also illegal understate and federal law. Title IX of the Education Amendments of1972 prohibits discrimination based on sex (including sexualharassment and sexual violence) in the university's educationalprograms and activities. Title IX also prohibits retaliation forasserting claims of sex discrimination. The university hasdesignated the Title IX Coordinator identified below to coordinateits compliance with and response to inquiries concerning Title IX.
For more information or to report a violation under the Policy onDiscrimination and Harassment, please contact the followingindividuals:
Discrimination and Harassment Response Coordinator
Apryle Cotton, Assistant Vice Chancellor for HumanResourcesSection 504 CoordinatorPhone: [email protected]
Title IX Coordinator
Jessica Kennedy, Director of Title IX OfficeTitle IX CoordinatorPhone: [email protected]
You may also submit inquiries or a complaint regarding civilrights to the United States Department of Education's Officeof Civil Rights at 400 Maryland Avenue, SW, Washington, DC20202-1100; by visiting the U.S. Department of Educationwebsite (https://www.ed.gov/); or by calling 800-421-3481.
Student HealthDrug and Alcohol PolicyWashington University is committed to maintaining a safe andhealthy environment for members of the university communityby promoting a drug-free environment as well as one free ofthe abuse of alcohol. Violations of the Washington UniversityDrug and Alcohol Policy (http://hr.wustl.edu/policies/Pages/DrugandAlcoholPolicy.aspx) or Alcohol Service Policy (http://pages.wustl.edu/prograds/alcohol-service-policy/) will be handledaccording to existing policies and procedures concerning theconduct of faculty, staff and students. This policy is adopted inaccordance with the Drug-Free Workplace Act and the Drug-Free Schools and Communities Act.
Tobacco-Free PolicyWashington University is committed to providing a healthy,comfortable and productive work and learning environment forall students, faculty and staff. Research shows that tobaccouse in general, including smoking and breathing secondhandsmoke, constitutes a significant health hazard. The universitystrictly prohibits all smoking and other uses of tobacco productswithin all university buildings and on university property, atall times. A copy of our complete Tobacco-Free Policy (http://hr.wustl.edu/policies/Pages/tobaccofreepolicy.aspx) is availableon the Human Resources website.
Medical ExaminationsEntering students must provide medical information to the HabifHealth and Wellness Center. This will include the completion of ahealth history and a record of all current immunizations.
If students fail to comply with these requirements prior toregistration, they will be required to obtain vaccinationsfor measles, mumps and rubella at the Habif Health andWellness Center, if there is no evidence of immunity. Inaddition, undergraduate students will be required to obtainmeningitis vaccinations. Students will be assessed the cost ofthe vaccinations. Students will be unable to complete registrationfor classes until all health requirements have been satisfied.
Noncompliant students may be barred from classes and from alluniversity facilities, including housing units, if in the judgment ofthe university their continued presence would pose a health riskto themselves or to the university community.
Medical and immunization information is to be given via the HabifHealth and Wellness Center (http://shs.wustl.edu) website. Allstudents who have completed the registration process shouldaccess the website and create a student profile by using their
9
Bul le t in 2020-21About Washington Univers i ty in St . Louis (11 /06 /20)
WUSTL Key. Creating a student profile enables a student tosecurely access the medical history form. Students should fillout the form and follow the instructions for transmitting it to theHabif Health and Wellness Center. Student information is treatedsecurely and confidentially.
Student ConductThe Student Conduct Code sets forth community standardsand expectations for Washington University students. Thesecommunity standards and expectations are intended to fosteran environment conducive to learning and inquiry. Freedom ofthought and expression is essential to the university's academicmission.
Disciplinary proceedings are meant to be informal, fair andexpeditious. Charges of non-serious misconduct are generallyheard by the student conduct officer. With limited exceptions,serious or repeated allegations are heard by the campuswideStudent Conduct Board or the University Sexual AssaultInvestigation Board where applicable.
Complaints against students that include allegations of sexualassault or certain complaints that include allegations of sexualharassment in violation of the Student Conduct Code aregoverned by the procedures found in the University SexualAssault Investigation Board Policy (https://wustl.edu/about/compliance-policies/governance/usaib-procedures-complaints-sexual-assault-filed-students/), which is available online or inhard copy from the Title IX coordinator or the director of StudentConduct and Community Standards.
Students may be accountable to both governmental authoritiesand to the university for acts that constitute violations of law andthe Student Conduct Code.
For a complete copy of the Student Conduct Code (https://wustl.edu/about/compliance-policies/academic-policies/university-student-judicial-code/), visit the university website.
Undergraduate Student AcademicIntegrity PolicyEffective learning, teaching and research all depend upon theability of members of the academic community to trust oneanother and to trust the integrity of work that is submitted foracademic credit or conducted in the wider arena of scholarlyresearch. Such an atmosphere of mutual trust fosters the freeexchange of ideas and enables all members of the community toachieve their highest potential.
In all academic work, the ideas and contributions of others mustbe appropriately acknowledged, and work that is presentedas original must be, in fact, original. Faculty, students andadministrative staff all share the responsibility of ensuringthe honesty and fairness of the intellectual environment atWashington University.
Scope and PurposeThis statement on academic integrity applies to allundergraduate students at Washington University. Graduatestudents are governed by policies in each graduate school ordivision. All students are expected to adhere to the higheststandards of behavior. The purpose of the statement is twofold:
1. To clarify the university's expectations with regard toundergraduate students' academic behavior; and
2. To provide specific examples of dishonest conduct. Theexamples are only illustrative, not exhaustive.
Violations of This Policy Include but AreNot Limited to the Following:1. Plagiarism
Plagiarism consists of taking someone else's ideas, wordsor other types of work product and presenting them asone's own. To avoid plagiarism, students are expectedto be attentive to proper methods of documentation andacknowledgment. To avoid even the suspicion of plagiarism,a student must always do the following:
• Enclose every quotation in quotation marks andacknowledge its source.
• Cite the source of every summary, paraphrase,abstraction or adaptation of material originally preparedby another person and any factual data that is notconsidered common knowledge. Include the name ofauthor, title of work, publication information and pagereference.
• Acknowledge material obtained from lectures, interviewsor other oral communication by citing the source (i.e., thename of the speaker, the occasion, the place and thedate).
• Cite material from the internet as if it were from atraditionally published source. Follow the citation styleor requirements of the instructor for whom the work isproduced.
2. Cheating on an Examination
A student must not receive or provide any unauthorizedassistance on an examination. During an examination, astudent may use only materials authorized by the faculty.
3. Copying or Collaborating on Assignments WithoutPermission
When a student submits work with their name on it, this isa written statement that credit for the work belongs to thatstudent alone. If the work was a product of collaboration,each student is expected to clearly acknowledge in writing allpersons who contributed to its completion.
10
Bul le t in 2020-21About Washington Univers i ty in St . Louis (11 /06 /20)
Unless the instructor explicitly states otherwise, it isdishonest to collaborate with others when completing anyassignment or test, performing laboratory experiments,writing and/or documenting computer programs, writingpapers or reports, or completing problem sets.
If the instructor allows group work in some circumstances butnot others, it is the student's responsibility to understand thedegree of acceptable collaboration for each assignment andto ask for clarification, if necessary.
To avoid cheating or unauthorized collaboration, a studentshould never do any of the following:
• Use, copy or paraphrase the results of another person'swork and represent that work as one's own, regardlessof the circumstances.
• Refer to, study from or copy archival files (e.g., old tests,homework, solutions manuals, backfiles) that were notapproved by the instructor.
• Copy another's work or permit another student to copyone's work.
• Submit work as a collaborative effort if they did notcontribute a fair share of the effort.
4. Fabrication or Falsification of Data or Records
It is dishonest to fabricate or falsify data in laboratoryexperiments, research papers or reports or in any othercircumstances; to fabricate source material in a bibliographyor "works cited" list; or to provide false information on arésumé or other document in connection with academicefforts. It is also dishonest to take data developed bysomeone else and present them as one's own.
Examples of falsification include the following:
• Altering information on any exam, problem set or classassignment being submitted for a re-grade.
• Altering, omitting or inventing laboratory data to submitas one's own findings. This includes copying laboratorydata from another student to present as one's own;modifying data in a write-up; and providing data toanother student to submit as one's own.
5. Other Forms of Deceit, Dishonesty or InappropriateConduct
Under no circumstances is it acceptable for a student to doany of the following:
• Submit the same work, or essentially the same work,for more than one course without explicitly obtainingpermission from all instructors. A student must disclosewhen a paper or project builds on work completed earlierin their academic career.
• Request an academic benefit based on false informationor deception. This includes requesting an extensionof time, a better grade or a recommendation from aninstructor.
• Make any changes (including adding material or erasingmaterial) on any test paper, problem set or classassignment being submitted for a re-grade.
• Willfully damage the efforts or work of other students.
• Steal, deface or damage academic facilities or materials.
• Collaborate with other students planning or engaging inany form of academic misconduct.
• Submit any academic work under someone else's nameother than one's own. This includes but is not limited tositting for another person's exam; both parties will beheld responsible.
• Engage in any other form of academic misconduct notcovered here.
This list is not intended to be exhaustive. To seek clarification,students should ask the professor or the assistant in instructionfor guidance.
Reporting MisconductFaculty ResponsibilityFaculty and instructors are strongly encouraged to reportincidents of student academic misconduct to the academicintegrity officer in their school or college in a timely manner sothat the incident may be handled fairly and consistently acrossschools and departments. Assistants in instruction are expectedto report instances of student misconduct to their supervisinginstructors. Faculty members are expected to respond to studentconcerns about academic dishonesty in their courses.
Student ResponsibilityIf a student observes others violating this policy, the student isstrongly encouraged to report the misconduct to the instructor,to seek advice from the academic integrity officer of the schoolor college that offers the course in question, or to address thestudent(s) directly.
Exam Proctor ResponsibilityExam proctors are expected to report incidents of suspectedstudent misconduct to the course instructor and/or the DisabilityResource Center, if applicable.
ProcedureJurisdictionThis policy covers all undergraduate students, regardless oftheir college of enrollment. Cases will be heard by school-specific committees according to the school in which the class islisted rather than the school in which the student is enrolled. Allviolations and sanctions will be reported to the student's collegeof enrollment.
11
Bul le t in 2020-21About Washington Univers i ty in St . Louis (11 /06 /20)
Administrative ProceduresIndividual undergraduate colleges and schools may designspecific procedures to resolve allegations of academicmisconduct by students in courses offered by that school, solong as the procedures are consistent with this policy and withthe Student Conduct Code.
Student Rights and Responsibilities in aHearingA student accused of an academic integrity violation — whetherby a professor, an assistant in instruction, an academic integrityofficer or another student — is entitled to do the following:
• Review the written evidence in support of the charge
• Ask any questions
• Offer an explanation as to what occurred
• Present any material that would cast doubt on thecorrectness of the charge
• Receive a determination of the validity of the charge withoutreference to any past record of misconduct
When responding to a charge of academic misconduct, a studentmay do the following:
• Deny the charges and request a hearing in front of theappropriate academic integrity officer or committee
• Admit the charges and request a hearing to determinesanction(s)
• Admit the charges and accept the imposition of sanctionswithout a hearing
• Request a leave of absence from the university (however,the academic integrity matter must be resolved prior to re-enrollment)
• Request to withdraw permanently from the university witha transcript notation that there is an unresolved academicintegrity matter pending
A student has the following responsibilities with regard toresolving the charge of academic misconduct:
• Admit or deny the charge. This will determine the course ofaction to be pursued.
• Provide truthful information regarding the charges. It is aStudent Conduct Code violation to provide false informationto the university or anyone acting on its behalf.
SanctionsIf Found Not in Violation of the AcademicIntegrity PolicyIf the charges of academic misconduct are not proven, no recordof the allegation will appear on the student's transcript.
If Found in Violation of the AcademicIntegrity PolicyIf, after a hearing, a student is found to have acted dishonestlyor if a student has admitted to the charges prior to a hearing,the school's academic integrity officer or committee may imposesanctions, including but not limited to the following:
• Issue a formal written reprimand
• Impose educational sanctions, such as completing aworkshop on plagiarism or academic ethics
• Recommend to the instructor that the student fail theassignment (a given grade is ultimately the prerogative of theinstructor)
• Recommend to the instructor that the student fail the course
• Recommend to the instructor that the student receive acourse grade penalty less severe than failure of the course
• Place the student on disciplinary probation for a specifiedperiod of time or until defined conditions are met. Theprobation will be noted on the student's transcript andinternal record while it is in force.
• In cases serious enough to warrant suspension or expulsionfrom the university, refer the matter to the Student ConductBoard for consideration.
Additional educational sanctions may be imposed. This list is notintended to be exhaustive.
Withdrawing from the course will not prevent the academicintegrity officer or hearing panel from adjudicating the case,imposing sanctions or recommending grade penalties, includinga failing grade in the course.
A copy of the sanction letter will be placed in the student'sacademic file.
AppealsIf a student believes the academic integrity officer or thecommittee did not conduct a fair hearing or if a student believesthe sanction imposed for misconduct is excessive, they mayappeal to the Student Conduct Board within 14 days of theoriginal decision. Appeals are governed by Section VII C of theStudent Conduct Code.
RecordsAdministrative Record-KeepingResponsibilitiesIt is the responsibility of the academic integrity officer in eachschool to keep accurate, confidential records concerningacademic integrity violations. When a student has been found tohave acted dishonestly, a letter summarizing the allegation, theoutcome and the sanction shall be placed in the student's officialfile in the office of the school or college in which the student isenrolled.
12
Bul le t in 2020-21About Washington Univers i ty in St . Louis (11 /06 /20)
In addition, each school's academic integrity officer shall makea report of the outcome of every formal accusation of studentacademic misconduct to the director of Student Conduct andCommunity Standards, who shall maintain a record of eachincident.
Multiple OffensesWhen a student is formally accused of academic misconductand a hearing is to be held by an academic integrity officer, acommittee, or the Office of Student Conduct and CommunityStandards, the person in charge of administering the hearingshall query the Office of Student Conduct and CommunityStandards about the student(s) accused of misconduct. Thedirector shall provide any information in the records concerningthat student to the integrity officer. Such information will beused in determining sanctions only if the student is found tohave acted dishonestly in the present case. Evidence of pastmisconduct may not be used to resolve the issue of whether astudent has acted dishonestly in a subsequent case.
Reports to Faculty and Student BodySchool and college academic integrity officers are encouragedto make periodic (at least annual) reports to the students andfaculty of their school concerning accusations of academicmisconduct and the outcomes, without disclosing specificinformation that would allow identification of the student(s)involved.
Graduate Student AcademicIntegrity PoliciesFor graduate student academic integrity policies, please refer toeach individual graduate school.
Statement of Intent to GraduateStudents are required to file an Intent to Graduate at WebSTAC(https://acadinfo.wustl.edu/) prior to the semester in which theyintend to graduate. Additional information is available in thedean's offices of each school and in the Office of the UniversityRegistrar (http://registrar.wustl.edu).
Student Academic Records andTranscriptsThe Family Educational Rights and Privacy Act of 1974(FERPA) — Title 20 of the United States Code, Section 1232g,as amended — provides current and former students of theuniversity with specific rights of access to and control overtheir student record information. In compliance with the statute,appropriate federal regulations, and guidelines recommendedby the American Association of Collegiate Registrars andAdmissions Officers, the university has adopted procedures thatimplement these rights.
A copy of the university policies regarding educational recordsand the release of student record information is available fromthe Office of the University Registrar (http://registrar.wustl.edu)and the university website (https://wustl.edu/).
Transcript requests for Danforth Campus students maybe submitted to the Office of the University Registrarthrough WebSTAC. The School of Medicine registrar (http://registrar.med.wustl.edu/services/transcripts-and-certification/)accepts requests for transcripts and certification recordsfor students and alumni of Audiology and CommunicationSciences, Biomedical Informatics, Biostatistics, ClinicalInvestigation, Genetic Epidemiology, Health Administration,Health Behavior Research, Nurse Anesthesia, OccupationalTherapy, Pediatric Nurse Practitioner, Physical Therapy,Population Health Sciences, Psychiatric Epidemiology, theSchool of Dentistry and the School of Medicine. Instructions andadditional information are available on the University Registrarwebsite (http://registrar.wustl.edu).
University AffiliationsWashington University is accredited by the HigherLearning Commission (https://www.hlcommission.org/)(800-621-7440). Washington University is a member ofthe American Academy of Arts & Sciences, the AmericanAssociation of University Women (AAUW), the AmericanCouncil of Learned Societies (ACLS), the American Councilon Education (ACE), the Association of American Colleges &Universities (AACU), the Association of American Universities(AAU), the College Board, the Hispanic Association ofColleges & Universities (HACU), the Independent Colleges andUniversities of Missouri (ICUM), the National Association ofIndependent Colleges and Universities (NAICU), the NationalCouncil for State Authorization Reciprocity Agreements (NC-SARA), the Oak Ridge Associated Universities (ORAU), and theUniversity Research Association (URA).
The College of Arts & Sciences is a member of the AmericanAssociation of Collegiate Registrars and Admissions Officers(AACRAO), the International Center for Academic Integrity(ICAI), the National Association of Fellowship Advisors (NAFA),the National Association of Advisors for Health Professions(NAAHP), and the Midwest Associate of Pre-Law Advisors(MAPLA).
The College of Architecture was one of the eight foundingmembers of the Association of Collegiate Schools of Architecture(ACSA) in 1912.
The Graduate School is a founding member of both theAssociation of Graduate Schools and the Council of GraduateSchools.
13
Bul le t in 2020-21About Washington Univers i ty in St . Louis (11 /06 /20)
The Graduate School of Architecture & Urban Design's Masterof Architecture degree is accredited by the National ArchitecturalAccreditation Board (NAAB), and its Master of LandscapeArchitecture degree is accredited by the Landscape ArchitectureAccrediting Board (LLAB).
The Sam Fox School of Design & Visual Arts is a foundingmember of and accredited by the National Association ofSchools of Art and Design (NASAD).
The Olin Business School is a charter member (1921) of andaccredited by the Association to Advance Collegiate Schools ofBusiness International (AACSB). Olin Business School is alsoaccredited by the Association of MBAs (AMBA).
In the McKelvey School of Engineering, many of the professionaldegrees are accredited by the Engineering AccreditationCommission of ABET (http://abet.org).
University College is a member of the University Professionaland Continuing Education Association, the North AmericanAssociation of Summer Sessions, the Association of UniversitySummer Sessions, and the Center for Academic Integrity.Business-related programs in University College are notaccredited by the Association to Advance Collegiate Schools ofBusiness International (AACSB).
The School of Law is accredited by the American BarAssociation. The School of Law is a member of the Associationof American Law Schools, the American Society of ComparativeLaw, the Clinical Legal Education Association, the SoutheasternAssociation of Law Schools, the Central Law SchoolsAssociation, the Mid-America Law Library Consortium, theAmerican Association of Law Libraries, and the AmericanSociety of International Law.
The School of Medicine is a member of the Liaison Committeeon Medical Education.
The Brown School at Washington University is accredited by theCouncil on Social Work Education and the Council on Educationfor Public Health.
The University Libraries are a member of the Association ofResearch Libraries.
The Mildred Lane Kemper Art Museum is nationally accreditedby the American Alliance of Museums.
14
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
McKelvey School ofEngineeringMcKelvey School of Engineering offers programs of instructionand research leading to specified master's and doctoral degrees.
Both full-time and part-time students may pursue most of thegraduate programs offered by Engineering. A few graduateprograms are designed primarily for full-time students. However,numerous locally employed engineers, scientists and technicalmanagers have earned master's degrees through part-timestudy. Many evening graduate courses are offered, and manyother graduate courses are taught during the late afternoon.Students who are employed full-time and who are interestedin investigating the possibility of doctoral graduate work shouldconsult directly with the director of the particular department orprogram in which they are interested.
Contact InformationMcKelvey School of EngineeringLopata Hall, Suite 203Washington University in St. LouisCB 1220One Brookings DriveSt. Louis, MO 63130-4899314-935-7974 (Admissions)314-935-5830 (Graduate Student Services)
Email: [email protected]
Website: http://engineering.wustl.edu/
Doctoral DegreesDoctor of PhilosophyThe Doctor of Philosophy (PhD) degree is not only anexploration of the knowledge in a given discipline but also anoriginal contribution to it. To the extent that doctoral educationhas been successful, the student's relationship to learning issignificantly changed. Having made a discovery, developedan insight, tested a theory or designed an application, the PhDrecipient is no longer a student but a colleague of the faculty. Itis for this reason that the PhD is the highest degree offered by auniversity.
The core mission of PhD programs at research universitiesis to educate the future faculty of other research universitiesand institutions of higher education. Graduates of WashingtonUniversity participate in research and teaching; they also makevaluable contributions to society by applying the analyticaland creative skills required for scholarship to careers in the
business, government and nonprofit sectors. The GraduateSchool therefore works with other university offices to ensurethat students have the opportunity to develop these transferableskills.
Among the critical components the university provides for thesepurposes are a small and select graduate student body, facultymembers dedicated to scholarly work, and the physical facilitiesneeded for research. In these regards, Washington Universitycompares favorably to the finest graduate institutions in theworld. However, the key ingredients of PhD completion mustbe provided by the student: a love of learning and a desireto increase the sum of human knowledge. Motivation andperseverance are prerequisites for success in PhD programs.
Doctor of ScienceThe Doctor of Science (DSc) degree is conferred in recognitionof the candidate's abilities and attainments in some field ofengineering or applied science. The DSc is a doctorate inscience equivalent to a PhD doctoral degree. The departmentsof Electrical & Systems Engineering and Mechanical Engineering& Materials Science offer both the PhD and DSc doctoral optionsfor graduate students. For information about the differencesbetween the PhD and DSc degrees, please refer to the DScand PhD Comparison (PDF) (https://mems.wustl.edu/graduate/programs/Documents/DoctoralComparisonSection.pdf).
General RequirementsCandidates for doctoral degrees at Washington University mustcomplete all courses required by their department; maintainsatisfactory academic progress; pass certain examinations;fulfill residence and teaching requirements (if applicable); write,defend and submit a dissertation; and file an Intent to Graduateform on WebSTAC (https://acadinfo.wustl.edu).
Engineering-based doctoral degrees require a minimum of 72units. The doctoral program requires 36 to 48 units of coursework and 24 to 36 units of research. The specific distributiondecisions are made by the individual programs and departments.
The doctorate can be awarded only to those students whoseknowledge of their field of specialization meets contemporarystandards. Course work completed more than seven yearsprior to the date the degree is awarded generally cannot beaccepted as satisfying degree requirements. No courses willbe accepted toward degree requirements if the course exceedsthe 10-year maximum time period unless they are formallyapproved by the Engineering Graduate Board. In addition, allmilestone requirements for the degree must be completed withinseven years from the time the student is admitted to a graduateprogram.
The doctoral degree has a residency requirement of one year.To satisfy the requirement, the student must devote full time fortwo consecutive semesters to academically relevant activities onthe Washington University campus. A limited amount of outside
15
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
employment may be permitted, but only with the approval of thedepartment or program chairman and/or the dean. Candidatesfor the Doctor of Philosophy degree are required to follow theguidelines of the Graduate School. Please refer to the GraduateSchool website (http://graduateschool.wustl.edu/) for policiesand guidelines for the Doctor of Philosophy degree. Candidatesfor the Doctor of Science degree are required to follow theguidelines of McKelvey School of Engineering. Please refer tothe DSc and PhD Comparison (PDF) (https://mems.wustl.edu/graduate/programs/Documents/DoctoralComparisonSection.pdf)for more information about the DSc requirements.
Adviser & Doctoral CommitteeOnce admitted to graduate standing, each doctoral studentwill have an adviser appointed by the chair or director of thedesignated area of specialization. It is the responsibility of theadviser to help the student plan a graduate program.
Each department within McKelvey School of Engineering hasits own policy related to the selection of a doctoral committee;therefore, students should consult with their faculty adviserregarding the appointment of their doctoral committee.
Doctoral Qualifying ExaminationTo be admitted to candidacy for a doctoral degree, the studentmust pass a comprehensive qualifying examination that mayconsist of both written and oral portions. The examination isadministered by the student's department or program, and thestudent should consult their adviser for information concerningthe scope of the examination and the dates on which it is given.The examining panel will consist of faculty members approvedby the department chair or the program director.
Doctoral DissertationDoctoral candidates must submit a satisfactory dissertation thatinvolves independent creative work in an area of specializationand that demonstrates an ability for critical and constructivethinking. It must constitute a definite contribution to knowledgein some field of engineering or applied science. The researchthat is the subject of the dissertation must have been performedunder the supervision of a member of the faculty of McKelveySchool of Engineering. The candidate must defend thedissertation during a final oral examination by an examiningcommittee to be nominated by the adviser and approved by theappropriate dean.
Doctor of Philosophy candidates should refer to the DoctoralDissertation Guide (http://graduateschool.wustl.edu/sites/graduateschool.wustl.edu/files/Doctoral%20Dissertation%20Guide%202018_Links.pdf) found on the Graduate Schoolwebsite for specific information about preparing their dissertationfor submission. Doctor of Science students should prepare their
dissertation according to the DSc & Master's Thesis FormatGuidelines (https://engineering.wustl.edu/current-students/student-services/Pages/forms.aspx#thesis-submission) found onthe Engineering website.
Each candidate for the doctoral degree must electronicallysubmit a final approved version of their dissertation. Thedissertation should include an abstract that embodies theprincipal findings of the research and that has been approved bythe doctoral committee as ready for publication. Such an abstractwill be published in Dissertation Abstracts, which announces theavailability of the dissertation for distribution.
Master's DegreesMaster of Engineering VersusMaster of Science DegreesMaster of Engineering (MEng) degrees are typically viewedas terminal degrees allowing maximum flexibility in courseselection. Master of Science (MS) degrees are morestructured in terms of required course work, and students withundergraduate degrees specifically in engineering are oftenbetter prepared to enter these master's programs. Graduatesfrom MS programs are better prepared to move forward todoctoral programs, as they often become more involved inresearch experience. However, MS programs also includecourse-only options for those not interested in doing research.
There are different ways to earn a master's degree atWashington University:
• There are a number of Engineering disciplines that admitstudents who wish to pursue a terminal master's degree. Insome programs, both the course option and thesis option areavailable.
• Undergraduate students at Washington University mayapply for the Bachelor's/Master's program in Engineering,in which graduation with a BS or AB is followed by one yearof graduate study leading to the MEng or MS degree. Thisoption is described in the Combined Majors and/or MultipleDegrees (http://bulletin.wustl.edu/undergrad/engineering/#combinedmajors) section of the Undergraduate Bulletin.
• Students who have not previously earned a master's degreein the same field as their PhD may earn the MS on the wayto their PhD. This option is available in some disciplines butnot in all of them.
• Students who have not previously earned a master's degreein the same field as their PhD may be awarded an MS forwork done in a PhD program that they are leaving withoutcompleting. This option is available in some disciplines butnot in all of them.
16
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
General RequirementsCandidates for master's degrees should note that, in most MSprograms, both the thesis option and the course option areavailable. The course option may be of particular interest to part-time students who, because of their employment, might find itmore convenient than the thesis requirement. All candidatesfor the master's degrees should consult with their adviser todetermine the option they will follow.
All requirements for master's degrees must be completed withinsix years from the time the student is admitted to graduatestanding. A maximum of 6 units of graduate credit obtainedat institutions other than Washington University may beapplied toward the master's degree awarded by Engineering.Transfer credit must be recommended and approved by thedepartment chair or program director and adviser, as well as bythe Engineering registrar. No courses carrying grades lower thanB can be accepted for transfer credit.
For the thesis option, a minimum of 24 units of course work anda minimum of 6 units of research are required. The student mustalso write a satisfactory thesis prepared under the supervisionof a member of the Engineering faculty. Candidates for master'sdegrees under the course option must submit a minimum of 30units of approved graduate course credit. A department mayhave additional requirements beyond the minimum requirementstated previously. Students should consult with their adviser asseveral master's degrees require more than 30 graduate units.
Multiple Master's DegreesTo earn more than one master's degree from Engineering, thestudent's final program of course work for each such master'sdegree must include a minimum of 15 units of preapprovedcourses not included as part of the final program of course workfor any other master's degree awarded by Engineering.
Master's ThesisA candidate for the MS degree under the thesis option shouldprepare their thesis according to the Master's Thesis FormatGuidelines (http://engineering.wustl.edu/current-students/student-services/Pages/forms.aspx) found on the Engineeringwebsite.
The candidate's department chair or program director willappoint a thesis committee of three faculty members, withthe student's adviser as chair, who will read the thesis andjudge its acceptability. For a full set of submission instructions,please visit our Graduate Student Services website (https://engineering.wustl.edu/current-students/student-services/Pages/thesis-dissertation-submissions.aspx).
Master's Final ExaminationsThe final examination for the MS candidates under the thesisoption consists of an oral examination conducted by thethesis committee and any additional faculty members that thedepartment or program chairman may wish to designate. At thisexamination, the candidate will present and defend the thesis.
Candidates for the MS under the course option may be requiredto pass a final examination. The form of this examination isdetermined by the faculty of the area of specialization, andstudents should consult their advisers, department chairs, orprogram directors for details concerning this examination.
Fields of Study• Biomedical Engineering (p. 17)
• Computational & Data Sciences (Interdisciplinary PhD)(p. 25)
• Computer Science & Engineering (p. 29)
• Electrical & Systems Engineering (p. 43)
• Energy, Environmental & Chemical Engineering (p. 58)
• Imaging Science (Interdisciplinary PhD) (p. 65)
• Materials Science & Engineering (p. 70)
• Mechanical Engineering & Materials Science (p. 76)
For additional graduate programs, please visit the Henry EdwinSever Institute (p. 89) section of this Bulletin.
Biomedical EngineeringBiomedical engineering (BME) seeks to advance and integratelife science knowledge with engineering methods andinnovations that contribute to improvements in human health andwell-being. Our vision is that lasting knowledge of biomedicalsystems and paradigm-shifting engineering technology willarise from integrating engineering concepts and basic scienceknowledge from the molecular level to the whole-body level. Webelieve that those taught to work across multiple disciplines andto integrate modeling and experimental systems approaches willbe uniquely positioned to advance and generate new disciplinesin biomedical engineering.
With this vision in mind, we are committed to educating the nextgeneration of biomedical engineers. We have leveraged ourinterdisciplinary strengths in engineering and clinical and lifesciences to build a biomedical engineering department aroundresearch programs of excellence and translational potential:Biomedical & Biological Imaging; Cardiovascular Engineering;Cellular & Molecular Bioengineering; Neural Engineering;Orthopedic Engineering; and Regenerative Engineering inMedicine. These areas provide exciting opportunities forstudents with a variety of backgrounds and interests.
17
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Students seeking the Master of Science (MS) in BiomedicalEngineering will need to complete 30 course credits, whichinclude a core curriculum. MS students pursuing the thesisoption perform research on a topic approved by the researchmentor. Results of the study are published in a thesis thatis defended in front of a committee of faculty members prior tograduation. The results should be of quality high enough to bepublished as a paper in a peer-reviewed journal. A total of 30credits can be completed in two to four semesters.
Students seeking the PhD in Biomedical Engineering maychoose to study in one of six multidisciplinary research programsthat represent frontiers in biomedical engineering. Our corefaculty work collaboratively with more than 90 affiliated facultyto offer students the opportunity to learn in a diverse and richspectrum of BME research areas. Students graduating with thePhD in Biomedical Engineering are prepared to pursue paths inresearch and development in academic and industry settings,and they are also ready to contribute to teaching and researchtranslation. The MD/PhD in Biomedical Engineering, whichis offered jointly with the top-ranked School of Medicine, givesstudents in-depth training in modern biomedical research andclinical medicine. The typical MD/PhD career combines patientcare and biomedical research but leans toward research.
Email: [email protected]
Website: https://bme.wustl.edu/academics/graduate-programs/index.html (https://bme.wustl.edu/academics/graduate-programs/)
FacultyChairLori A. Setton (https://engineering.wustl.edu/Profiles/Pages/Lori-Setton.aspx)Lucy and Stanley Lopata Distinguished Professor of BiomedicalEngineeringPhD, Columbia UniversityBiomaterials for local drug delivery; tissue regenerations specificto the knee joints and spine
Endowed ProfessorsRohit V. Pappu (https://engineering.wustl.edu/faculty/Rohit-Pappu.html)Edwin H. Murty Professor of EngineeringPhD, Tufts UniversityMacromolecular self assembly and function; computationalbiophysics
Yoram Rudy (https://engineering.wustl.edu/faculty/Yoram-Rudy.html)Fred Saigh Distinguished Professor of EngineeringPhD, Case Western Reserve UniversityCardiac electrophysiology; modeling of the cardiac system
ProfessorsJianmin Cui (https://engineering.wustl.edu/faculty/Jianmin-Cui.html)PhD, State University of New York–Stony BrookIon channels; channel structure-function relationship; biophysics
Daniel Moran (https://engineering.wustl.edu/faculty/Daniel-Moran.html)PhD, Arizona State UniversityMotor control; neural engineering; neuroprosthetics; movementbiomechanics
Baranidharan Raman (https://engineering.wustl.edu/faculty/Barani-Raman.html)PhD, Texas A&M UniversityComputational and systems neuroscience; neuromorphicengineering; pattern recognition; sensor-based machine olfaction
Quing Zhu (https://engineering.wustl.edu/faculty/Quing-Zhu.html)PhD, University of PennsylvaniaBiophotonics and multimodality ultrasound and optical imaging
Associate ProfessorsDennis L. Barbour (https://engineering.wustl.edu/faculty/Dennis-Barbour.html)MD, PhD, Johns Hopkins UniversityApplication of novel machine learning tools to diagnose and treatdisorders of perception and cognition
Song HuPhD, Washington University in St. LouisOptical and photoacoustic technologies for high-resolutionstructural, functional, metabolic and molecular imaging in vivo.
Princess Imoukhuede (https://engineering.wustl.edu/faculty/Princess-Imoukhuede.html)PhD, California Institute of TechnologyLigand-receptor signal transduction; angiogenesis;computational systems bioengineering
Jin-Yu Shao (https://engineering.wustl.edu/faculty/Jin-Yu-Shao.html)PhD, Duke UniversityCell mechanics; receptor and ligand interactions; molecularbiomechanics
Jon Silva (https://engineering.wustl.edu/faculty/Jonathan-Silva.html)PhD, Washington UniversityIon channel biophysics
Kurt A. Thoroughman (https://engineering.wustl.edu/faculty/Kurt-Thoroughman.html)PhD, Johns Hopkins UniversityHuman motor control and motor learning; neural computation
18
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Chao ZhouPhD, University of PennsylvaniaOptical coherence tomography
Assistant ProfessorsHong Chen (https://engineering.wustl.edu/faculty/Hong-Chen.html)PhD, University of WashingtonPhysical acoustics; therapeutic ultrasound and ultrasoundimaging
Nate Huebsch (https://engineering.wustl.edu/faculty/Nathaniel-Huebsch.html)PhD, Harvard UniversityCell-material Interactions, iPSC-based tissue modeling to studycardiac development and disease
Abhinav Kumar Jha (https://engineering.wustl.edu/faculty/Abhinav-Jha.html)PhD, University of ArizonaDevelopment of computational-imaging solutions for diagnosingand treating diseases
Jai S. Rudra (https://engineering.wustl.edu/faculty/Jai-Rudra.html)PhD, Louisiana Tech UniversityPeptide-based biomaterials; immunoengineering; immunologyof nanoscale aggregates; development of vaccines andimmunotherapies
Michael D. Vahey (https://engineering.wustl.edu/faculty/Michael-Vahey.html)PhD, Massachusetts Institute of TechnologyBiophysical mechanisms of infectious disease; fluorescencemicroscopy; microfluidics
Principal LecturerPatricia Widder (https://engineering.wustl.edu/faculty/Patricia-Widder.html)MS, Washington University
LecturerKatherine SchreiberPhD, Saint Louis University
Senior ProfessorLarry TaberPhD, Stanford UniversityMechanics of growth and development; cardiac mechanics
Senior Emeritus ProfessorFrank YinMD, PhD, University of California, San Diego
Degree RequirementsPlease visit the following pages for information about ourgraduate programs:
• PhD and Combined MD/PhD in Biomedical Engineering(p. 24)
• Master of Science (MS) in Biomedical Engineering (p. 25)
CoursesBelow are all BME graduate-level courses. Visit onlinecourse listings to view semester offerings for E62BME (https://courses.wustl.edu/CourseInfo.aspx?sch=E&dept=E62&crslvl=5:8).
E62 BME 501C BME Doctoral Seminar SeriesThis is a 1-unit credit option for BME students who attendregularly scheduled BME seminars (or approved substituteseminars). A satisfactory grade is obtained by submission of atwo-page peer-reviewed paper written by one of the regularlyscheduled BME seminar speakers whose seminar the studentattended. Papers are to be submitted to the Graduate StudentAdministrator for review by the Director of Doctoral Studies.Prerequisite: current BME student in the second year or beyond.Credit 1 unit.
E62 BME 506 Seminar in Imaging Science and EngineeringThis seminar course consists of a series of tutorial lectures onImaging Science and Engineering with emphasis on applicationsof imaging technology. Students are exposed to a variety ofimaging applications that vary depending on the semester, butmay include multispectral remote sensing, astronomical imaging,microscopic imaging, ultrasound imaging, and tomographicimaging. Guest lecturers come from several parts of theuniversity. This course is required of all students in the ImagingScience and Engineering program; the only requirement isattendance. This course is graded pass/fail. Prerequisite:admission to Imaging Science and Engineering program.Same as E35 ESE 596Credit 1 unit.
E62 BME 507 Radiological Physics and DosimetryThis class is designed to construct a theoretical foundationfor ionizing radiation dose calculations and measurements ina medical context and prepare graduate students for properscientific presentations in the field of x-ray imaging and radiationtherapy. Specifically, a student completing this course will beable to do the following: 1. Understand and apply key conceptsspecific to energy deposition for both ionizing photon interactionsand transport in matter and for energetic charged particleinteractions and transport in matter. Radiation sources includeradioactivity, x-ray tubes, and linear accelerators. 2. Understandthe theoretical details of ion-chamber based dosimetry andof both cavity-theory based (TG-21) and Monte-Carlo based(TG-51) clinical protocols. 3. Perform and present real-worldstyle research projects as a group, and present these projects ina typical professional scientific format and style. 4. Achieve anappreciation of the history and potential future developments inionizing radiation detection and dosimetry. Prerequisites: BS inphysics or engineering and instructor approval.Credit 3 units.
19
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
E62 BME 5071 RadiobiologyEffects of ionizing radiations on living cells and organisms,including physical, chemical, and physiological bases of radiationcytotoxicity, mutagenicity and carcinogenesis. Textbook:Radiobiology for the Radiologist. Eric Hall and Amato Giaccia.Two lectures per week. Prerequisites: graduate student standingand one year each of biology, physics and organic chemistry, orapproval of instructor.Credit 2 units.
E62 BME 5072 Radiation Therapy PhysicsIonizing radiation use in radiation therapy to cause controlledbiological effects in cancer patients. Physics of the interaction ofthe various radiation modalities with body-equivalent materials,and physical aspects of clinical applications. Lecture and lab.Prerequisites: graduate student standing or permission ofinstructor.Credit 3 units.
E62 BME 5073 Radiation Protection and SafetyThis course will introduce concepts of radiation protectionand safety. The focus will be on how to protect humans andenvironment from ionizing radiation. Special emphasis will be onradiological protection in clinics. Prerequisite: graduate studentstanding or permission of the instructor.Credit 2 units.
E62 BME 523 Biomaterials ScienceAn understanding of the interactions between biological systemsand artificial materials is of vital importance in the design ofmedical devices. This course will introduce the principlesof biomaterials science, unifying knowledge from the fieldsof biology, materials science, surface science, and colloidscience. The course will be taught from the primary scientificliterature, focusing on the study of protein/surface interactionsand hydrogel materials.Credit 3 units. EN: TU
E62 BME 524 Tissue EngineeringThis course integrates the principles and methods of engineeringand life sciences toward the fundamental understanding ofnormal and pathological mammalian tissues especially as theyrelate to the development of biological substitutes to restoreor improve tissue function. Current concepts and strategiesincluding drug delivery, tissue and cell transplantation, andin vivo tissue regeneration will be introduced as well as theirrespective clinical applications. Prerequisites: BME 366; orMEMS 3410, Biol 2960 and 2970; or permission of the instructor.Credit 3 units. EN: TU
E62 BME 527 Design of Artificial OrgansMedical devices that replace the function of one of the majororgans in the body must usually interface with flowing blood.Examples include total artificial hearts, left ventricular assistdevices, membrane oxygenators, hemodialysis systems andencapsulated endocrine cells. The design of these devices relieson integration of knowledge from a variety of fields, in particularcomputational fluid dynamics and blood rheology. We will studythe process by which a concept for a device eventually leads toa functioning, blood-contacting medical device, with most of thefocus on the design of left ventricular assist devices. Studentswill learn to use CAD to design blood pumping devices, test their
designs via computational fluid dynamics, and 3D print and testtheir pumps with water. Prerequisites: BME 366 or equivalentcourse in transport phenomena (including momentum and masstransfer).Credit 3 units. EN: TU
E62 BME 528 Translational Regenerative MedicineThis course provides students with an opportunity to connectbasic research with applications in translation for severaltissues/disease models. Course sessions will alternate betweenliterature on basic mechanisms of development/stem cell biologyand applications led by researchers or clinicians working in eacharea. Areas of focus will include cardiovascular development/congenital heart disease and arrhythmia, lung, endocrinology/diabetes, gut/intestinal disorders, musculoskeletal, neural(peripheral and brain), liver, hematology and eye. Emphasison how discovery can be translated will be a major focus ofthe course. Students will be expected to review and presenton primary literature in the field. Graduate standing is required.Prerequisites: graduate standing Engineering or DBBS.Credit 3 units.
E62 BME 530A Molecular Cell Biology for EngineersThis course is designed for upper level undergraduates andfirst year graduate students with a background in engineering.This course covers the biology of cells of higher organisms:protein structure and function; cellular membranes andorganelles; cell growth and oncogenic transformation; cellulartransport, receptors and cell signaling; the cytoskeleton, theextracellular matrix, and cell movement. Emphasis will beplaced on examples relevant to biomedical engineering. Inaddition to lecture material, an emphasis will be placed onunderstanding experimental techniques used in cell biologyand critical analysis of primary literature. Note this course doesnot count for engineering topics credits and is meant to fulfill alife science requirement for engineering or physical sciencesgraduate students. Prereq: Completion of Biol 2960 and 2970 orgraduate standing.Credit 3 units.
E62 BME 532 Physics of Biopolymers and BioinspiredPolymersThis course will cover physics concepts from the statisticalphysics of polymers and polymer solutions to describeproteins, nucleic acids, and bioinspired polymers. Topicsinclude statistical physics concepts, theoretical and numericaldescriptions of polymers, applying these descriptions tobiopolymers, the thermodynamics of polymer solutions, conceptsof polymer dynamics, descriptions of polymeric materialsand advanced topics in phase transitions and moleculardesign. The material will be fast-paced and involve rigorousmathematical descriptions, experimental design, interpretationsof experimental data, and some numerical simulations. Thecourse will be heavy on individual homework and team-based project work. Direct connections between concepts andmodern topics in biology and biomaterials will be emphasized.Prerequisites: BME 320B or equivalent and a first course intransport phenomena.Same as E62 BME 432Credit 3 units. EN: TU
20
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
E62 BME 533 Biomedical Signal ProcessingCourse designed for graduate students with little or nobackground in signal processing. Continuous-time and discrete-time application of signal processing tools to a variety ofbiomedical problems. Course topics include review of linearsignals and systems theory, frequency transforms, samplingtheorem, basis functions, linear filtering, feature extraction,parameter estimation and biological system modeling. Specialemphasis will be placed on signal transduction and dataacquisition. Additional topics include noise analysis of real-world biosignals, biological system identification, stochastic/chaotic/fractal/nonlinear processes in biological systems.Concepts learned in class will be applied using software toolsto 1D biomedical signals such as biological rhythms, chemicalconcentrations, blood pressure, speech, EMG, ECG, EEG.Prerequisites: graduate standing or consent of instructor.Credit 3 units. EN: TU
E62 BME 537 Computational Molecular BiologyThis course is a survey of algorithms and mathematical methodsin biological sequence analysis (with a strong emphasis onprobabilistic methods) and systems biology. Sequence analysistopics include introduction to probability, probabilistic inference inmissing data problems, hidden Markov models (HMMs), profileHMMs, sequence alignment, and identification of transcription-factor binding sites. Systems biology topics include discoveryof gene regulatory networks, quantitative modeling of generegulatory networks, synthetic biology, and (in some years)quantitative modeling of metabolism. Prerequisites: CSE 131 orCSE 501N.Same as E81 CSE 587ACredit 3 units. EN: TU
E62 BME 538 Cell Signal TransductionThis course will cover the elements of cell signal transductionimportant to human development, homeostasis and disease.Lectures will be combined with primary literature review tocover canonical signaling and current topics within the field.Spatial, time and dose-dependent aspects of signaling will beof particular focus. Topics include G protein-coupled receptors,receptor tyrosine kinases, adhesion signaling, the MAPKcascade, lipid signaling, the DNA damage response, andautocrine, paracrine and juxtacrine signaling. Prerequisite: BME530A or BME 5068.Credit 3 units.
E62 BME 542 Biomacromolecules Design and EngineeringBiological macromolecules (i.e., carbohydrates, lipids, proteins,and nucleic acids) are important components of the cell andits supporting matrix that perform a wide array of functions.This course will introduce the principles and recent advancesin nucleic acid/gene engineering, protein/peptide engineering,and chemical/enzymatic conjugation technologies; it will alsodiscuss the application of engineered biomacromolecules inclinical therapeutics/diagnostics, biosensing, bioimaging, andbiocatalysis. Students will learn material through lectures,reading, homework, scientific publications, and molecularvisualization tools. Students will work individually or in pairs/groups to develop and lead discussions on engineeringbiomacromolecules and molecular characterization techniques.Prerequisites: basic knowledge of genes and cloning.Same as E62 BME 442Credit 3 units. EN: TU
E62 BME 543 Molecular and Cellular EngineeringThe ability to engineer biological function at the cellular levelholds tremendous potential for both basic and applied science.This course aims to provide knowledge and practical proficiencyin the methods available for measuring and controlling themolecular organization of eukaryotic cells. Topics to be coveredinclude genome engineering using viral- and CRISPR-Cassystems; spatial and temporal control of proteins and theirinteractions; methods for characterizing and engineering post-translational modifications; and the relationship between cellularorganization and function in migration, immune cell targetrecognition, and differentiation. Examples from recent scientificliterature will provide the foundation for these topics.Same as E62 BME 443Credit 3 units. EN: TU
E62 BME 5430 Systems Analysis of Biological SignalingThis course covers biochemical and computational methodsof cellular signaling pathway analysis. Topics include kinetics,differential equations, and sensitivity analysis, with emphasis oncellular and molecular vascular signaling in health and disease.Prerequisites: Biol 2960 and Math 217.Credit 3 units. EN: TU
E62 BME 544 Biomedical InstrumentationThis course will include operational and instrumentationamplifiers for bioelectric event signal conditioning, interfacingand processing; instrumentation noise analysis and filter design;A/D converters and hardware and software principles as relatedto sampling, storing, processing, and display of biosignals;modeling, analysis, and operation of transducers, sensors,and electrodes, for physiological and imaging systems; and anintroduction to ultrasound, X-ray, and optical imaging systems. Inaddition, students will be involved in three projects of designingand building instrumentation amplifier and filter systems,ultrasound systems, and optical systems. Prerequisites: BME301A and BME 301B.Same as E62 BME 444Credit 3 units. EN: TU
E62 BME 550 Numerical Methods for ComputationalModeling in BiomedicineAdvanced computational methods are required for the creationof biological models. Students will be introduced to the processof model development from beginning to end, which includesmodel formulation, how to solve and parameterize equations,and how to evaluate model success. To illustrate the potentialof these methods, participants will systematically build a modelto simulate a "real-life" biological system that is applicable totheir research or interest. A mechanistic appreciation of themethods will be gained by programming the methods in a low-level language (C++) in a Linux environment. While extensiveprogramming knowledge is not required, participants are likely tofind that some programming background will be helpful. Studentsenrolled in the 550 graduate class will be required to completea final project that incorporates the methods taught in class.Prerequisites: introductory programming course similar to E81CSE 131.Same as E62 BME 450Credit 3 units. EN: TU
21
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
E62 BME 5565 Mechanobiology of Cells and MatricesAt the interface of the cell and the extracellular matrix,mechanical forces regulate key cellular and molecular eventsthat profoundly affect aspects of human health and disease.This course offers a detailed review of biomechanical inputs thatdrive cell behavior in physically diverse matrices. In particular,cytoskeletal force-generation machineries, mechanical rolesof cell-cell and cell-matrix adhesions, and regulation of matrixdeformations are discussed. Also covered are key methodsfor mechanical measurements and mathematical modeling ofcellular response. Implications of matrix-dependent cell motilityin cancer metastasis and embryonic development are discussed.Prerequisite: graduate standing or permission of the instructor.Same as E37 MEMS 5565Credit 3 units. EN: BME T, TU
E62 BME 559 Intermediate BiomechanicsThis course covers several of the fundamental theories of solidmechanics that are needed to solve problems in biomechanics.The theories of nonlinear elasticity, viscoelasticity andporoelasticity are applied to a large range of biological tissuesincluding bone, articular cartilage, blood vessels, the heart,skeletal muscle, and red blood cells. Other topics include muscleactivation, the biomechanics of development and functionaladaptation, and the mechanics of hearing. Prerequisites: BME240 and ESE 318 and ESE 319 or equivalent, or permission ofinstructor.Credit 3 units. EN: TU
E62 BME 562 Mechanics of Growth and DevelopmentThis course applies the fundamental principles of solidmechanics to problems involving growth, remodeling andmorphogenesis of cells, tissues and organs. Introduction todevelopmental biology, nonlinear elasticity, viscoelasticityand active contraction. Particular topics include cellularmorphogenetic mechanisms, growth and development of thecardiovascular system, and adaptive remodeling of bone.Prerequisites: BME 240 or MEMS 241 or equivalent.Credit 3 units. EN: BME T, TU
E62 BME 564 Orthopaedic Biomechanics — Cartilage/TendonBasic and advanced viscoelasticity and finite strain analysisapplied to the musculoskeletal system, with a primary focus onsoft orthopaedic tissues (cartilage, tendon and ligament). Topicsinclude: mechanical properties of cartilage, tendon and ligament;applied viscoelasticity theory for cartilage, tendon and ligament;cartilage, tendon and ligament biology; tendon and ligamentwound healing; osteoarthritis. This class is geared to graduatestudents and upper-level undergraduates familiar with staticsand mechanics of deformable bodies. Prerequisite: BME 240or equivalent. Note: BME 590Z (BME 463/563) OrthopaedicBiomechanics — Bones and Joints is not a prerequisite.Same as E37 MEMS 5564Credit 3 units. EN: TU
E62 BME 565 Biosolid MechanicsIntroduction to the mechanical behaviors of biological tissuesof musculoskeletal, cardiac and vascular systems. Topics to becovered include static force analysis and nonlinear optimizationtheory; linearly elastic models for stress-strain analysis andsolutions to relevant problems in bioelasticity; models of activestructures (e.g., muscles); strain energy methods and nonlinear
tissue behaviors; and introductory theory for finite elementanalysis. Emphasis will be placed on modeling stress-strainrelations with relevance to biological tissues. Prerequisites: BME240 or equivalent and ESE 318 and ESE 319.Same as E62 BME 465Credit 3 units. EN: TU
E62 BME 570 Mathematics of Imaging ScienceThis course will expose students to a unified treatment of themathematical properties of images and imaging. This will includean introduction to linear vector space theory, operator theory onHilbert spaces, and concepts from applied functional analysis.Further, concepts from generalized functions, Fourier analysis,and radon transform will be discussed. These tools will beapplied to conduct deterministic analyses of imaging systemsthat are described as continuous-to-continuous, continuous-to-discrete, and discrete-to-discrete mappings from objectproperties to image data. In addition, imaging systems will beanalyzed in a statistical framework where stochastic modelsfor objects and images will be introduced. Prerequisite: seniorstanding or permission of instructor.Credit 3 units.
E62 BME 572 Biological Neural ComputationThis course considers the computations performed by thebiological nervous system with a particular focus on neuralcircuits and population-level encoding/decoding. Topics includeHodgkin-Huxley equations; phase-plane analysis; reduction ofHodgkin-Huxley equations; models of neural circuits; plasticityand learning; and pattern recognition and machine learningalgorithms for analyzing neural data. Note: Graduate studentsin psychology or neuroscience who are in the Cognitive,Computational and Systems Neuroscience curriculum pathwaymay register in Biol 5657 for 3 credits. For non-BME majors,conceptual understanding, and selection/application of rightneural data analysis technique are stressed. Hence homeworkassignments/examinations for the two sections are different,however all students are required to participate in a semester-long independent project as part of the course. Prerequisites:calculus, differential equations, basic probability and linearalgebra. Undergraduates need permission of the instructor. Biol5657 prerequisites: permission from the instructor.Credit 3 units. EN: TU
E62 BME 574 Quantitative Bioelectricity and CardiacExcitationAction potential generation, action potential propagation,source-field relationships in homogeneous and inhomogeneousmedia, models of cardiac excitation and arrhythmia, quantitativeelectrocardiography. Prerequisites: differential equations,Laplace transform, electromagnetic field theory (undergraduatelevel).Credit 3 units. EN: TU
E62 BME 575 Molecular Basis of Bioelectrical ExcitationIon channels are the molecular basis of membrane excitabilityin all cell types, including neuronal, heart and muscle cells. Thiscourse presents the structure and the mechanism of functionof ion channels at the molecular level. It introduces the basicprinciples and methods in the ion channel study as well asthe structure-function relation of various types of channels.Exemplary channels that have been best studied are discussedto illustrate the current understanding. Prerequisites: knowledgeof differential equations, electrical circuits and chemical kinetics.
22
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Credit 3 units. EN: TU
E62 BME 5771 Biomedical Product DevelopmentAdvances in science and technology have opened the healthcare field to innovation now more than any other time in history.Engineers and inventors can make real and rapid improvementsto patient treatments, length of hospital stay, procedure time,cost containment, and accessibility to treatment. However,a successful transition from idea to implementation requirescareful market analysis and strategy planning. This course willaddress the steps in this process, including personal and teamstrength assessment, medical need validation, brainstorminginitial solutions, market analysis, solution evaluation, regulatory,patent and intellectual property concerns, manufacturability,risk assessment and mitigation, and global considerations.Students will be expected to review resource material prior tocoming to class in order to facilitate active class discussion andteam-based application of the material during class; regularattendance will be key to course success. The course will focuson applying product development techniques to several realunmet medical needs; students will thus perform analysis andcreate reports and presentations for several different productsolutions. Peer and faculty evaluations will provide feedbackto improve individual technique. In addition, throughout thesemester, local biomedical entrepreneurs will visit to sharetheir expertise and experiences. Prerequisites: graduate orprofessional student standing or permission of the instructor.Credit 3 units.
E62 BME 5772 Biomedical Business DevelopmentFor medical innovators, a successful translation from productto market will require careful strategy and an understanding ofthe steps needed to form and fund a biotech business, eitheras a new startup or as an extension of the product line of anexisting company. This course will address the steps in thisprocess, including intellectual property concerns, R&D, clinicalstrategy, regulatory issues, quality management, reimbursement,marketing strategy, sales and distribution, operating plans, andapproaches to funding. Prerequisites: graduate or professionalstudent standing or permission of the instructor.Credit 3 units.
E62 BME 5799 Independent Study for Candidates in theMaster of Engineering ProgramIndependent investigation on a topic of special interest. Thestudent and mentor must justify the requested number of units.The MEng program director must approve the requested numberof units.Credit variable, maximum 6 units.
E62 BME 5820 Fundamentals and Applications of ModernOptical ImagingAnalysis, design, and application of modern optical imagingsystems, with emphasis on biological imaging. The first partof the course will focus on the physical principles underlyingthe operation of imaging systems and their mathematicalmodels. Topics include ray optics (speed of light, refractiveindex, laws of reflection and refraction, plane surfaces, mirrors,lenses, aberrations), wave optics (amplitude and intensity,frequency and wavelength, superposition and interference,interferometry), Fourier optics (space-invariant linear systems,Huygens-Fresnel principle, angular spectrum, Fresnel diffraction,Fraunhofer diffraction, frequency analysis of imaging systems),and light-matter interaction (absorption, scattering, dispersion,
fluorescence). The second part of the course will comparemodern quantitative imaging technologies, including but notlimited to digital holography, computational imaging, and super-resolution microscopy. Students will evaluate and critique recentoptical imaging literature. Prerequisites: ESE 318 and ESE 319or their equivalents; ESE 330 or Physics 421 or equivalent.Same as E35 ESE 582Credit 3 units. EN: BME T, TU
E62 BME 589 Biological Imaging TechnologyThis class develops a fundamental understanding of the physicsand mathematical methods that underlie biological imaging andcritically examine case studies of seminal biological imagingtechnology literature. The physics section examines howelectromagnetic and acoustic waves interact with tissues andcells, how waves can be used to image the biological structureand function, image formation methods and diffraction limitedimaging. The math section examines image decompositionusing basis functions (e.g., Fourier transforms), synthesisof measurement data, image analysis for feature extraction,reduction of multidimensional imaging datasets, multivariateregression and statistical image analysis. Original literatureon electron, confocal and two photon microscopy, ultrasound,computed tomography, functional and structural magneticresonance imaging and other emerging imaging technology arecritiqued.Same as E35 ESE 589Credit 3 units. EN: BME T, TU
E62 BME 5901 Integrative Cardiac ElectrophysiologyQuantitative electrophysiology of the heart, integrating fromthe molecular level (ion channels, regulatory pathways, cellsignaling) to the cardiac cell (action potential and calciumtransient), multicellular tissue (cell-cell communication) and thewhole heart. Prerequisite: permission of instructor.Credit 3 units. EN: BME T, TU
E62 BME 5902 Cellular NeurophysiologyThis course will examine the biophysical concepts of synapticfunction, with a focus on the mechanisms of neural signalprocessing at synapses and elementary circuits. The coursecombines lectures and discussion sessions of primary researchpapers. Topics include synaptic and dendritic structure, electricalproperties of axons and dendrites, synaptic transmission,rapid and long-term forms of synaptic plasticity, informationanalysis by synapses and basic neuronal circuits, principlesof information coding, mechanisms of learning and memory,function of synapses in sensory systems, and models ofsynaptic disease states such as Parkinson's and Alzheimer'sdiseases. In addition, a set of lectures will be devoted to modernelectrophysiological and imaging techniques as well as modelingapproaches to study synapses and neural circuits. Prerequisite:senior or graduate standing.Credit 3 units. EN: TU
E62 BME 591 Biomedical Optics I: PrinciplesThis course covers the principles of optical photon transportin biological tissue. This course covers the principles andapplications of optical photon transport in biological tissue.Topics include a brief introduction to biomedical optics, single-scatterer theories, Monte Carlo modeling of photon transport,
23
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
convolution for broad-beam responses, radiative transferequation, diffusion theory and applications, sensing of opticalproperties and spectroscopy, and photoacoustic imagingprinciples and applications. Prerequisite: Differential equationsCredit 3 units. EN: TU
E62 BME 5911 Cardiovascular Biophysics Journal ClubThis journal club is intended for beginning graduate students,advanced undergraduates and MSTP students with abackground in the quantitative sciences (engineering, physics,math, chemistry, etc.). The subjects covered are inherentlymultidisciplinary. We review landmark and recent publications inquantitative cardiovascular physiology, mathematical modelingof physiologic systems and related topics such as chaos theoryand nonlinear dynamics of biological systems. Familiaritywith calculus, differential equations and basic engineering/thermodynamic principles is assumed. Knowledge of anatomy/physiology is optional.Credit 1 unit.
E62 BME 5913 Molecular Systems Biology: Computation& Measurements for Understanding Cell Physiology andDiseaseSystems-level measurements of molecules in cells and tissuesharbor the promise of identifying the ways in which tissuesdevelop, maintain, age, and become diseased. This classwill introduce the systems-level measurement techniques forcapturing molecular information and the mathematical andcomputational methods for harnessing the information fromthese measurements to improve our understanding of cellphysiology and disease. This is a practical class, which involvesimplementation of the concepts in MATLAB and will be appliedto existing, real data from published journal articles. Moleculartopics will include gene expression, microRNA, proteins, post-translational modifications, drugs, and splicing. Computational/mathematical topics covered will include statistical inference,dimensionality reduction techniques, unsupervised andsupervised machine learning, and graph-based techniques.Prerequisites: A working knowledge of molecular biology, linearalgebra, and statistics is required.Credit 3 units. EN: TU
E62 BME 594 Ultrasound ImagingThis course will introduce basic principles of ultrasound imaging,diagnostic ultrasound imaging system, clinical applications, andemerging technologies in industry. Prerequisite: ESE 351.Same as E62 BME 494Credit 3 units. EN: TU
E62 BME 601C Research Rotation for BME DoctoralStudentsCredit 3 units.
PhD and Combined MD/PhD inBiomedical EngineeringThe department offers programs that lead to the Doctorof Philosophy (PhD) in Biomedical Engineering as well ascombined MD/PhD degrees. The latter degrees are conferredjointly with the School of Medicine.
The doctoral degree requires a minimum of 72 credits beyondthe bachelor's level, with a minimum of 36 being course credits(including the core curriculum) and a minimum of 24 credits ofdoctoral dissertation research.
The core curriculum that must be satisfied by all PhD studentsconsists of the following:
• One graduate-level course in life science from an approvedlist
• One graduate-level course in mathematics from an approvedlist
• One graduate-level course in computer science from anapproved list or exemption by proficiency
• Four BME courses from an approved list
Please visit the Biomedical Engineering (BME) website(https://bme.wustl.edu/graduate/phd/Pages/default.aspx) for acomprehensive list of the approved courses.
Up to 9 credits of BME 601C Research Rotation and/or BME501C Graduate Seminar may be counted toward the 36 creditsof graduate courses required for the PhD, so a total of 27additional credits (usually nine courses, including the corecurriculum) are required for the PhD. Up to two 400-levelcourses may be counted toward the nine courses required forthe PhD. Graduate courses may be transferred in (up to 24credits) but must be evaluated and approved by the Director ofDoctoral Studies. The evaluation and approval may occur at anytime, but course transfer does not become official until after oneyear in residence at Washington University.
Students seeking the PhD in Biomedical Engineering enroll intwo to three courses each semester and participate in one or twolaboratory rotations during the first year. Before the end of theirfirst 10 months of enrollment in the program, students take theiroral qualifying exam, which consists of a presentation of theirresearch done to date in the mentor's laboratory followed by anoral exam addressing any issues directly related to their rotationreport or their oral presentation. Upon successfully passing thequalifying examination, they advance to candidacy and completethe balance of their requirements. During the second and thirdyears, students complete their remaining courses, participatein one semester of a mentored teaching experience, and begintheir thesis research. By the end of the third year, students mustcomplete their thesis proposal. Students must also completeone accepted and one submitted first-author publication andcomplete a dissertation.
Students pursuing the combined MD/PhD in BiomedicalEngineering must complete the degree requirements in bothschools. MD/PhD students typically complete the first two yearsof the medical school preclinical curriculum while also performingone or more research rotations, then the remaining requirementsfor the doctoral degree, and finally the clinical training years ofthe medical degree. The department generally gives graduate
24
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
course credits for some of the medical school courses towardthe fulfillment of course requirements for the PhD degree. Thisis arranged on an individual basis between the student, theiracademic adviser and the Director of Doctoral Studies.
Master of Science (MS) inBiomedical EngineeringThe core curriculum that must be satisfied by all graduate MSstudents consists of the following:
• One graduate-level course in life sciences
• One graduate-level course in mathematics or computerscience
• Three BME courses from the approved course list
Please visit the Policies and Regulations Guide located on theBiomedical Engineering (BME) website (http://bme.wustl.edu/graduate/ms/Pages/default.aspx) for a comprehensive list of thecore and approved courses.
Candidates for the MS must accumulate a total of 30 graduatecourse credits beyond the bachelor's degree. Only 6 of these 30credits may be transferred from another university. There are twooptions: thesis and non-thesis.
Thesis OptionFor this option, a minimum of 24 graduate course credits isrequired, with the balance being thesis research. The coursesmust fulfill the core curriculum requirements; courses can befound in the Policies and Regulations Guide on the BME website(http://bme.wustl.edu/graduate/ms/Pages/default.aspx).
The remainder of the course work is generally driven by thestudent's research interest. Upon completion of the thesis, thecandidate must pass an oral defense conducted by their thesiscommittee. This will consist of a public presentation followedby questions from the committee. Candidates must have acumulative grade-point average of 2.7 or better to receive thedegree.
Non-Thesis OptionCandidates must accumulate a total of 30 graduate credits,have a cumulative GPA of 2.7 or better, and satisfy thecore curriculum requirements; courses can be found inthe Policies and Regulations Guide on the BME website (http://bme.wustl.edu/graduate/ms/Pages/default.aspx). The balanceof the course credits should be selected with a view towardcoherence reflecting a specialization in a research area.
Graduate-level courses given by other departments and schoolsmay be substituted for courses in the approved list with thepermission of the Director of Master's Studies. The full list ofapproved courses can be found in the Policies and RegulationsGuide on the BME website (http://bme.wustl.edu/graduate/ms/Pages/default.aspx).
Computational & Data Sciences(Interdisciplinary PhD)The Division of Computational & Data Sciences (DCDS) atWashington University in St. Louis trains students interestedin problems from across a range of disciplines that share acommon reliance on data and computing.
The introduction of now-standard tools from statistical analysisand hypothesis testing transformed the practice of natural andsocial science in the mid-20th century. Emerging tools fromcomputational and data science have the potential to bring aboutan even larger transformation of scientific practice, especiallyin the social sciences. The questions raised by data generatedby and about human behavior are engaging and profound.However, many if not most of these questions can only betackled using a multidisciplinary approach that combines a deepknowledge of the capabilities and operation of data sciencetechniques with the domain expertise needed to apply themeffectively to the problems under consideration.
Doctoral students in Computational & Data Sciences receivestrong methodological training in modern computationaland statistical methods, and they also acquire expertise in aparticular social science application area.
The program is inherently interdisciplinary and brings togetherleading experts from across the university who are using datato solve some of the greatest challenges that our world facestoday. Faculty include both data and computing experts as wellas domain experts from different application areas.
FacultyDeanna Barch (https://psych.wustl.edu/people/deanna-barch/)Professor and Chair, Psychological & Brain Sciences PhD, University of Illinois
Michael Bechtel (https://artsci.wustl.edu/faculty-staff/michael-m-bechtel/)Associate Professor, Political SciencePhD, University of Konstanz
Ryan Bogdan (https://psych.wustl.edu/people/ryan-bogdan/)Associate Professor, Psychological & Brain SciencesPhD, Harvard University
Todd Braver (https://psych.wustl.edu/people/todd-braver/)Professor, Psychological & Brain Sciences, Radiology, andNeuroscience PhD, Carnegie Mellon University
Derek Brown (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Derek-Brown.aspx)Associate Professor, Brown SchoolPhD, Duke University
25
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Sanmay DasTrack Chair, Computational Methodologies Associate Professor, Computer Science & Engineering PhD, Massachusetts Institute of Technology
Brett Drake (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Brett-Drake.aspx)Professor, Brown SchoolPhD, UCLA
Christine Ekenga (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Christine-Ekenga.aspx)Assistant Professor, Brown SchoolPhD, New York University
Patrick Fowler (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Patrick-Fowler.aspx)Track Chair, Social Work & Public HealthAssociate Professor, Brown SchoolPhD, Wayne State University
Roman Garnett (https://engineering.wustl.edu/faculty/Roman-Garnett.html)Assistant Professor, Computer Science & EngineeringPhD, University of Oxford
Chris Gill (https://engineering.wustl.edu/faculty/Christopher-Gill.html)Professor, Computer Science & EngineeringDSc, Washington University in St. Louis
Roch Guérin (https://engineering.wustl.edu/faculty/Roch-Guerin.html)Professor and Chair, Computer Science & EngineeringPhD, California Institute of Technology
Shenyang Guo (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Shenyang-Guo.aspx)Professor, Brown SchoolPhD, University of Michigan - Ann Arbor
Ross Hammond (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Ross-Hammond.aspx)Associate Professor, Brown SchoolPhD, University of Michigan
Jenine Harris (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Jenine-Harris.aspx)Associate Professor, Brown SchoolPhD, Saint Louis University
CJ Ho (https://engineering.wustl.edu/faculty/Chien-Ju-Ho.html)Assistant Professor, Computer Science & EngineeringPhD, University of California, Los Angeles
Peter HovmandProfessor of Practice, Brown SchoolPhD, Michigan State University
Josh Jackson (https://psych.wustl.edu/people/joshua-jackson/)Associate Professor, Psychological & Brain SciencesPhD, University of Illinois, Urbana-Champaign
Kim Johnson (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Kimberly-Johnson.aspx)Associate Professor, Brown SchoolPhD, University of Minnesota
Melissa Jonson-Reid (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Melissa-Jonson-Reid.aspx)Professor, Brown SchoolPhD, University of California, Berkeley
Brendan Juba (https://engineering.wustl.edu/faculty/Brendan-Juba.html)Assistant Professor, Computer Science & EngineeringPhD, Massachusetts Institute of Technology
Caitlin Kelleher (https://engineering.wustl.edu/Profiles/Pages/Caitlin-Kelleher.aspx)Associate Professor, Computer Science & EngineeringPhD, Carnegie Mellon University
Matt Kreuter (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Matthew-Kreuter.aspx)Professor, Social Work & Public HealthPhD, University of North Carolina, Chapel Hill
Calvin Lai (https://psych.wustl.edu/people/calvin-lai/)Assistant Professor, Psychological & Brain SciencesPhD, University of Virginia
Christopher Lucas (https://polisci.wustl.edu/people/christopher-lucas/)Assistant Professor, Political SciencePhD, Harvard University
Doug Luke (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Douglas-Luke.aspx)Professor, Brown SchoolPhD, University of Illinois
Andrew D. Martin (https://polisci.wustl.edu/people/andrew-martin/)Professor, Political Science and LawChancellor-Elect, Washington University in St. LouisPhD, Washington University in St. Louis
Timothy McBride (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Timothy-McBride.aspx)Professor, Brown SchoolPhD, University of Wisconsin - Madison
Jacob Montgomery (https://polisci.wustl.edu/people/jacob-montgomery/)Track Chair, Political ScienceAssociate Professor, Political Science PhD, Duke University
26
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Alvitta Ottley (https://engineering.wustl.edu/faculty/Alvitta-Ottley.html)Assistant Professor, Computer Science & EngineeringPhD, Tufts University
Andrew Reeves (http://www.andrewreeves.org/)Associate Professor, Political SciencePhD, Harvard University
Guillermo Rosas (https://polisci.wustl.edu/people/guillermo-rosas/)Associate Professor, Political SciencePhD, Duke University
Deborah Salvo (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Deborah-Salvo.aspx)Assistant Professor, Brown SchoolPhD, Emory University
Betsy Sinclair (https://polisci.wustl.edu/people/betsy-sinclair/)Professor, Political SciencePhD, California Institute of Technology
Joe Steensma (https://brownschool.wustl.edu/Faculty-and-Research/Pages/Joseph-Steensma.aspx)Professor of Practice, Brown SchoolEdD, Indiana Wesleyan University
Yevgeniy Vorobeychik (https://engineering.wustl.edu/faculty/Yevgeniy-Vorobeychik.html)Associate ProfessorComputer Science & EngineeringPhD, University of Michigan
William Yeoh (https://engineering.wustl.edu/faculty/William-Yeoh.html)Assistant ProfessorComputer Science & EngineeringPhD, University of Southern California
Jeffrey Zacks (https://psych.wustl.edu/people/jeffrey-zacks/)Track Chair, Psychological & Brain SciencesProfessor and Associate Chair, Psychological & Brain SciencesPhD, Stanford University
Degree RequirementsPhD in Computational & DataSciencesUpon joining the PhD program, each student is assigned aninitial adviser from the DCDS faculty. This adviser meets withthe student to assess their background and to advise them oncourse selection. Immediately prior to each fall semester, DCDSfaculty conduct a “boot camp” in mathematics, statistics andprogramming to help bring incoming students up to the levelneeded to succeed in the initial course work and the program.
All students complete a common core curriculum as well as adomain depth requirement in a social science area. The focusof the first year is on acquiring a common set of tools and anunderstanding of the ranges and types of problems studentsmay work on as they progress through the program. The entireincoming cohort takes a unique two-semester seminar sequencesolely for DCDS students, which includes both general topicsand a series of data-driven dives into the types of researchquestions that may be encountered in each of the domain areas.
In addition, students will be exposed to research in differentareas through “rotations” that start in November of their first year.By the end of the summer following their first year, each studentwill put together an advisory committee of at least two DCDSfaculty members (preferably from different tracks) and identifythe specific track in which they plan to do research and pursuetheir degree.
CurriculumRequired Core Courses (24 credithours)
• CSE 502: Data Structures and Algorithms (3 credits):This is an existing fundamental course in algorithms anddata structures, including significant implementation in anobject-oriented programming language (currently Java). Weexpect that many students will already have this background;the course is intended as a pathway for students with verylittle computational training.
• Quantitative Methods I and II (6 credits): This two-semester sequence covers essential probability andstatistics, including hypothesis testing, inference andexperimental methodology using a modern statisticalcomputing language like R. The introductory courses offeredby the departments of Psychological & Brain Sciences (PBS5066) and Political Science (PS 581) will be cross-listed andcount for Quantitative Methods I credit. Quantitative MethodsII is a course that includes maximum-likelihood methods,Bayesian and nonparametric models, generalized linearmodels and sampling techniques. The course is currentlytaught as Political Science 582 and will be cross-listedacross participating departments.
• I53 510: Data Wrangling (3 credits): We are in a new erain terms of the volume and modalities of data generatedby efforts to measure human behavior. This will be a newcross-listed course that introduces students to the tools andtechniques used to collect, maintain and process large-scaledata sets of the kind generated in the course of studyingpeople and social systems.
• CSE 417T and CSE 517A: Machine Learning I and II(6 credits): This is a two-semester sequence in machinelearning. Together, the two courses cover the fundamentalprinciples of supervised learning, including generalization,overfitting, regularization, cross-validation, model selection,
27
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
and core machine learning techniques and algorithms,including linear models like logistic regression, gradientdescent, tree-based and ensemble methods, kernelmethods, deep neural networks and topics in unsupervisedlearning.
• Computational and Data Sciences Seminar I and II (6credits): This two-semester seminar sequence is cross-listed across participating departments and team-taught byparticipating faculty.
• Computational and Data Sciences Seminar I will bestructured around topics and ideas that do not needdetailed specific-content background. The topics coveredwill include ethics, the nature of research, robustnessand reproducibility of research, and presentations fromacross the different areas of interest to give studentsan understanding of research in human and social dataanalytics across the university.
• Computational and Data Sciences Seminar II will bestructured as a series of deep dives into data-drivenapproaches in each of the domain areas, includinga module on computational methodologies. In eachof these modules, the students will either be given aspecific data set to investigate or a specific hands-on task to complete (e.g., developing a visualization,assessing how easy a computational tool is for socialscientists to use). Students will work in teams on theseprojects.
Domain Depth TracksStudents will choose one of four focus tracks: Political Science,Psychological & Brain Sciences, Social Work & Public Health, orComputational Methodologies. Depending on the track, studentsmust complete the following domain depth requirements:
1. Political Science track: Students must complete threesubstantive classes in one subfield (e.g., American politics,comparative politics, international relations) from a specifiedlist for each subfield as well as a research design course (PS540).
2. Psychological & Brain Sciences track: Students mustcomplete three substantive classes in one subfield (e.g.,brain, behavior and cognition, clinical science, social/personality, development and aging). With permission,students may substitute the Psychological & Brain SciencesResearch Methods Course (PBS 5011) for one of thesubstantive classes, depending on their background inpsychological science.
3. Social Work & Public Health track: Students mustcomplete a three-course core doctoral seminar series,including conceptual foundations of social science, advancedresearch methods, and a theory seminar, either in publichealth or social work. Students will also be required to takean advanced substantive course from an approved list intheir area of interest.
4. Computational Methodologies track: Students musttake CSE 541T Advanced Algorithms and either CSE 511AIntroduction to Artificial Intelligence or CSE 515T BayesianMethods in Machine Learning. In addition, students musttake two substantive classes in their area of interest (i.e.,political science, psychological & brain sciences, or socialwork & public health) from among the classes acceptable forstudents in that track as noted above.
Sample CurriculumA typical progression of classes is described below, withseparate examples for students who enter with and without moreextensive computational backgrounds.
Students Without Much Computer ScienceBackgroundCourse Fall Units Spring
Units
First Year
Data Structures and Algorithms(CSE 502N)
3 —
Quantitative Methods I 3 —
CDS Seminar I 3 —
Introduction to Machine Learning(CSE 417T)
— 3
Data Wrangling — 3
CDS Seminar II — 3
9 9
Second Year
Quantitative Methods II 3 —
Domain course 3 3
Domain course or elective 3 3
Machine Learning (CSE 517A) — 3
9 9
Students With More Computer ScienceBackgroundCourse Fall Units Spring
Units
First Year
Introduction to Machine Learning(CSE 417T) or domain course
3 —
Quantitative Methods I 3 —
CDS Seminar I 3 —
Introduction to Machine Learning(CSE 417T) or domain course
— 3
Data Wrangling — 3
CDS Seminar II — 3
9 9
28
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Second Year
Quantitative Methods II 3 —
Domain course 3 3
Domain course or elective 3 3
Machine Learning (CSE 517A) — 3
9 9
Further RequirementsAdditional requirements for this program are as follows:
• A minimum of 72 credit units beyond the bachelor’s level,with a minimum of 37 being course credits (including thecore curriculum)
• A minimum of 24 credit units of doctoral dissertationresearch
• Students must maintain a cumulative average grade of B(3.0 grade-point average) for all 72 credit units.
• Required courses must be completed with no more than onegrade below a B-.
• Up to 24 graduate credit units may be transferred with theapproval of the Graduate Studies Committee, which ischaired by the director of graduate studies.
In addition to fulfilling the course and research creditrequirements, students must do the following:
• Complete at least two three-month-long research rotations.
• Pass a qualifying exam.
• Successfully defend a thesis proposal.
• Present and successfully defend a dissertation.
• Complete a teaching requirement consisting of twosemesters of mentored teaching experience.
Computer Science &EngineeringDuring the past two decades, society hasexperienced unprecedented growth in digital technology.This revolution continues to redefine our way of life, ourculture and our economy. Computer science and engineeringeducation plays an irreplaceable role in this trend by preparingfuture technology leaders and innovators. It opens our mindsto new horizons, unlocks doors to a broad range of careerpaths, accelerates professional advancement, and exposesus to ideas that are advancing the frontiers of science andtechnology beyond the field of computing. Alumni and studentscontinually remind us that pursuing a degree in the Departmentof Computer Science & Engineering is an experience rarelymatched elsewhere.
Master's ProgramsThe Department of Computer Science & Engineering offers fourmaster's degrees: Master of Science in Computer Science,Master of Science in Computer Engineering, Master ofScience in Cybersecurity Engineering, and Master ofEngineering in Computer Science and Engineering. Weaccept both full-time and part-time students, offering classschedules that are flexible enough for part-time students butthat provide enough classes for students to attend full-time.Obtaining a master's degree from the Department of ComputerScience & Engineering can be done as a pure course option(MS in Computer Science and MS in Computer Engineeringdegrees only), or it can incorporate a specialized researchexperience. Master's research is a great way for our studentsto easily transition into future doctoral studies. Graduates ofour program are also prepared to enter the industry, with manyaccepting positions at companies like Boeing, Google andMicrosoft. Applicants to our master's programs are expected tohave completed an undergraduate degree. A major or minor incomputer science or computer engineering is helpful, but it is notrequired. Background requirements are listed within each degreeprogram, along with options for meeting them.
PhD ProgramsThe Department of Computer Science & Engineering offersPhD programs in Computer Science and in ComputerEngineering. Computer science research encompasses thefundamentals of software and algorithm design, machinelearning and bioinformatics, visual and cyber-physicalcomputing, and human-computer interaction. Computerengineering focuses on the interaction of software and hardwarein the design of computing systems and networks. Our researchgroups have extensive interdisciplinary ties across the university,with collaborations in medicine, science, the humanities andsocial work. Recent graduates have accepted research andteaching faculty positions as well as research and engineeringpositions in leading technology companies.
Both PhD programs require a combination of courses, researchand teaching. The required courses are often completed earlyin the program, since students are integrated into researchgroups during their first year and the program's emphasis is oncreative research. The program has milestones that involve bothwritten and oral components, and these provide structure for thefive- to six-year degree. The program considers applicants witheither bachelor's or master's degrees and has had successfulapplicants in the past whose backgrounds were outside of thefield of computer science.
29
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Phone: 314-935-6132
Email: [email protected]
Website: https://cse.wustl.edu/academics/graduate/index.html (https://cse.wustl.edu/academics/graduate/)
FacultyChairRoch Guérin (https://engineering.wustl.edu/faculty/Roch-Guerin.html)Harold B. and Adelaide G. Welge Professor of ComputerSciencePhD, California Institute of TechnologyComputer networks and communication systems
ProfessorsSanjoy Baruah (https://engineering.wustl.edu/faculty/Sanjoy-Baruah.html)PhD, University of Texas at AustinReal-time and safety-critical system design, cyber-physicalsystems, scheduling theory, resource allocation and sharing indistributed computing environments
Aaron Bobick (https://engineering.wustl.edu/faculty/Aaron-Bobick.html)James M. McKelvey Professor and DeanPhD, Massachusetts Institute of TechnologyComputer vision, graphics, human-robot collaboration
Michael R. Brent (https://engineering.wustl.edu/faculty/Michael-Brent.html)Henry Edwin Sever Professor of EngineeringPhD, Massachusetts Institute of TechnologySystems biology, computational and experimental genomics,mathematical modeling, algorithms for computational biology,bioinformatics
Jeremy Buhler (https://engineering.wustl.edu/faculty/Jeremy-Buhler.html)PhD, Washington UniversityComputational biology, genomics, algorithms for comparing andannotating large biosequences
Roger D. Chamberlain (https://engineering.wustl.edu/faculty/Roger-Chamberlain.html)DSc, Washington UniversityComputer engineering, parallel computation, computerarchitecture, multiprocessor systems
Yixin Chen (https://engineering.wustl.edu/faculty/Yixin-Chen.html)PhD, University of Illinois at Urbana-ChampaignMathematical optimization, artificial intelligence, planning andscheduling, data mining, learning data warehousing, operationsresearch, data security
Patrick Crowley (https://engineering.wustl.edu/faculty/Patrick-Crowley.html)PhD, University of WashingtonComputer and network systems, network security
Ron K. Cytron (https://engineering.wustl.edu/faculty/Ron-Cytron.html)PhD, University of Illinois at Urbana-ChampaignProgramming languages, middleware, real-time systems
Sanmay DasPhD, Massachusetts Institute of TechnologyDesign of algorithms for complex environments, computationalsocial science, machine learning
Christopher D. Gill (https://engineering.wustl.edu/faculty/Christopher-Gill.html)DSc, Washington UniversityParallel and distributed real-time embedded systems, cyber-physical systems, concurrency platforms and middleware, formalmodels and analysis of concurrency and timing
Raj Jain (https://engineering.wustl.edu/faculty/Raj-Jain.html)Barbara J. & Jerome R. Cox Jr. Professor of Computer SciencePhD, Harvard UniversityNetwork security, blockchains, medical systems security,industrial systems security, wireless networks, unmanned aircraftsystems, internet of things, telecommunications networks, trafficmanagement
Tao Ju (https://engineering.wustl.edu/faculty/Tao-Ju.html)PhD, Rice UniversityComputer graphics, visualization, mesh processing, medicalimaging and modeling
Chenyang Lu (https://engineering.wustl.edu/faculty/Chenyang-Lu.html)Fullgraf Professor in the Department of Computer Science &EngineeringPhD, University of VirginiaInternet of things, real-time, embedded, and cyber-physicalsystems, cloud and edge computing, wireless sensor networks
Neal Patwari (https://engineering.wustl.edu/faculty/Neal-Patwari.html)PhD, University of MichiganApplication of statistical signal processing to wireless networks,and radio frequency signals
Weixiong ZhangPhD, University of California, Los AngelesComputational biology, genomics, machine learning and datamining, and combinatorial optimization
30
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Associate ProfessorsKunal Agrawal (https://engineering.wustl.edu/faculty/Kunal-Agrawal.html)PhD, Massachusetts Institute of TechnologyParallel computing, cyber-physical systems & sensing,theoretical computer science
Caitlin Kelleher (https://engineering.wustl.edu/faculty/Caitlin-Kelleher.html)Hugo F. & Ina Champ Urbauer Career Development AssociateProfessorPhD, Carnegie Mellon UniversityHuman-computer interaction, programming environments, andlearning environments
William D. Richard (https://engineering.wustl.edu/faculty/William-Richard.html)PhD, University of Missouri-RollaUltrasonic imaging, medical instrumentation, computerengineering
Yevgeniy Vorobeychik (https://engineering.wustl.edu/faculty/Yevgeniy-Vorobeychik.html)PhD, University of MichiganArtificial intelligence, machine learning, computationaleconomics, security and privacy, multi-agent systems
William Yeoh (https://engineering.wustl.edu/faculty/William-Yeoh.html)PhD, University of Southern CaliforniaArtificial intelligence, multi-agent systems, distributed constraintoptimization, planning and scheduling
Assistant ProfessorsAyan Chakrabarti (https://engineering.wustl.edu/faculty/Ayan-Chakrabarti.html)PhD, Harvard UniversityComputer vision computational photography, machine learning
Roman Garnett (https://engineering.wustl.edu/faculty/Roman-Garnett.html)PhD, University of OxfordActive learning (especially with atypical objectives), Bayesianoptimization, and Bayesian nonparametric analysis
Chien-Ju Ho (https://engineering.wustl.edu/faculty/Chien-Ju-Ho.html)PhD, University of California, Los AngelesDesign and analysis of human-in-the-loop systems, withtechniques from machine learning, algorithmic economics, andonline behavioral social science
Brendan Juba (https://engineering.wustl.edu/faculty/Brendan-Juba.html)PhD, Massachusetts Institute of TechnologyTheoretical approaches to artificial intelligence founded oncomputational complexity theory and theoretical computerscience more broadly construed
Ulugbek Kamilov (https://engineering.wustl.edu/faculty/Ulugbek-Kamilov.html)PhD, École Polytechnique Fédérale de Lausanne, SwitzerlandComputational imaging, image and signal processing, machinelearning and optimization
Angelina Lee (https://engineering.wustl.edu/faculty/I-Ting-Angelina-Lee.html)PhD, Massachusetts Institute of TechnologyDesigning linguistics for parallel programming, developingruntime system support for multithreaded software, and buildingnovel mechanisms in operating systems and hardware toefficiently support parallel abstractions
Alvitta Ottley (https://engineering.wustl.edu/faculty/Alvitta-Ottley.html)PhD, Tufts UniversityDesigning personalized and adaptive visualization systems,including information visualization, human-computer interaction,visual analytics, individual differences, personality, usermodeling and adaptive interfaces
Netanel Raviv (https://engineering.wustl.edu/faculty/Netanel-Raviv.html)PhD, Technion, Haifa, IsraelMathematical tools for computation, privacy and machinelearning
Ning Zhang (https://engineering.wustl.edu/faculty/Ning-Zhang.html)PhD, Virginia Polytechnic Institute and State UniversitySystem security, software security
Teaching ProfessorWilliam Siever (https://engineering.wustl.edu/faculty/Bill-Siever.html)PhD, Missouri University of Science and TechnologyComputer architecture, organization, and embedded systems
Todd Sproull (https://engineering.wustl.edu/faculty/Todd-Sproull.html)PhD, Washington UniversityComputer networking and mobile application development
Professor of the PracticeDennis Cosgrove (https://engineering.wustl.edu/faculty/Dennis-Cosgrove.html)BS, University of VirginiaProgramming environments and parallel programming
31
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
LecturersHila Ben Abraham, LecturerPhD, Washington University in St. LouisParallel computing, accelerating streaming applications onGPUs, computer and network security, malware analysis
Steve Cole, Senior LecturerPhD, Washington University in St. LouisParallel computing, accelerating streaming applications on GPUs
Brian Garnett (https://engineering.wustl.edu/faculty/Brian-Garnett.html), LecturerPhD, Rutgers UniversityDiscrete mathematics and probability, generally motivated bytheoretical computer science
Marion Neumann (https://engineering.wustl.edu/faculty/Marion-Neumann.html), Senior LecturerPhD, University of Bonn, GermanyMachine learning with graphs; solving problems in agricultureand robotics
James Orr (https://engineering.wustl.edu/faculty/James-Orr.html), LecturerPhD, Washington UniversityReal-time systems theory and implementation, cyber-physicalsystems, and operating systems
Jonathan Shidal (https://engineering.wustl.edu/faculty/Jonathan-Shidal.html), LecturerPhD, Washington UniversityComputer architecture and memory management
Douglas Shook (https://engineering.wustl.edu/faculty/Doug-Shook.html), Senior LecturerMS, Washington UniversityImaging sensor design, compiler design and optimization
Senior ProfessorsJonathan S. TurnerPhD, Northwestern UniversityDesign and analysis of internet routers and switching systems,networking and communications, algorithms
Senior Faculty EmeritusJerome R. Cox Jr.ScD, Massachusetts Institute of TechnologyComputer system design, computer networking, biomedicalcomputing
Professors EmeritiTakayuki D. KimuraPhD, University of PennsylvaniaCommunication and computation, visual programming
Seymour V. PollackMS, Brooklyn Polytechnic InstituteIntellectual property, information systems
Degree RequirementsPlease visit to the following pages for information aboutcomputer science and engineering graduate programs:
• PhD in Computer Science or Computer Engineering(p. 39)
• Master of Science (MS) in Computer Science (p. 40)
• Master of Science (MS) in Computer Engineering (p. 40)
• Master of Science (MS) in Cybersecurity Engineering(p. 41)
• Master of Engineering (MEng) in Computer Science andEngineering (p. 42)
• Certificate in Data Mining and Machine Learning (p. 42)
• Certificate in Cybersecurity Engineering (p. 43)
CoursesVisit online course listings to view semester offerings forE81 CSE (https://courses.wustl.edu/CourseInfo.aspx?sch=E&dept=E81&crslvl=5:8).
E81 CSE 500 Independent StudyProposal form can be located at https://cse.wustl.edu/undergraduate/PublishingImages/Pages/undergraduate-research/Independent%20Study%20Form%20400.pdfCredit variable, maximum 3 units.
E81 CSE 501N Introduction to Computer ScienceAn introduction to software concepts and implementation,emphasizing problem solving through abstraction anddecomposition. Introduces processes and algorithms, proceduralabstraction, data abstraction, encapsulation, and object-oriented programming. Recursion, iteration, and simple datastructures are covered. Concepts and skills are masteredthrough programming projects, many of which employ graphicsto enhance conceptual understanding. Java, an object-orientedprogramming language, is the vehicle of exploration. Active-learning sessions are conducted in a studio setting in whichstudents interact with each other and the professor to solveproblems collaboratively. Prerequisites: Comfort with algebraand geometry at the high school level is assumed. Patience,good planning, and organization will promote success. Thiscourse assumes no prior experience with programming.Same as E81 CSE 131Credit 3 units. BU: SCI EN: TU
E81 CSE 502N Data Structures and AlgorithmsThis course involves the study of fundamental algorithms, datastructures, and their effective use in a variety of applications.It emphasizes the importance of data structure choice andimplementation for obtaining the most efficient algorithm forsolving a given problem. A key component of this course is
32
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
worst-case asymptotic analysis, which provides a quick andsimple method for determining the scalability and effectivenessof an algorithm. Prerequisite: CSE 131 and fluency withsummations, derivatives, and proofs by induction.Same as E81 CSE 247Credit 3 units. EN: TU
E81 CSE 503S Rapid Prototype Development and CreativeProgrammingThis course uses web development as a vehicle for developingskills in rapid prototyping. Students acquire the skills to build aLinux web server in Apache, to write a website from scratch inPHP, to run an SQL database, to perform scripting in Python, toemploy various web frameworks, and to develop modern webapplications in client-side and server-side JavaScript. The courseculminates with a creative project in which students are able tosynthesize the course material into a project of their own interest.The course implements an interactive studio format: after theformal presentation of a topic, students develop a related projectunder the supervision of the instructor. Prerequisite: CSE 131.Same as E81 CSE 330SCredit 3 units. EN: BME T, TU
E81 CSE 504N Object-Oriented Software DevelopmentLaboratoryIntensive focus on practical aspects of designing, implementingand debugging software, using object-oriented, procedural,and generic programming techniques. The course emphasizesfamiliarity and proficiency with a wide range of C++ languagefeatures through hands-on practice completing studio exercisesand lab assignments, supplemented with readings and summarypresentations for each session. Prerequisites: CSE 131 and CSE247Same as E81 CSE 332SCredit 3 units. EN: BME T, TU
E81 CSE 505N Introduction to Digital Logic and ComputerDesignIntroduction to design methods for digital logic and fundamentalsof computer architecture. Boolean algebra and logic minimizationtechniques; sources of delay in combinational circuits andeffect on circuit performance; survey of common combinationalcircuit components; sequential circuit design and analysis;timing analysis of sequential circuits; use of computer-aideddesign tools for digital logic design (schematic capture,hardware description languages, simulation); design of simpleprocessors and memory subsystems; program execution insimple processors; basic techniques for enhancing processorperformance; configurable logic devices. Prerequisite: CSE 131.Same as E81 CSE 260MCredit 3 units. EN: TU
E81 CSE 507A Technology EntrepreneurshipThis is a course for students who plan to be or to work withentrepreneurs. An entrepreneurial mindset is needed to create orgrow economically viable enterprises, be they new companies,new groups within companies, or new university laboratories.This course aims to cultivate an entrepreneurial perspective,with particular emphasis on information technology (IT)-relatedactivities. The course is jointly offered for business and CSEstudents, allowing for acculturation between these disciplines. Inaddition to an introductory treatment of business and technologyfundamentals, course topics will include business ethics,
opportunity assessment, team formation, financing, intellectualproperty, and technology transfer. The course will featuresignificant participant and guest instruction from experiencedpractitioners.Credit 3 units.
E81 CSE 511A Introduction to Artificial IntelligenceThe discipline of artificial intelligence (AI) is concerned withbuilding systems that think and act like humans or rationallyon some absolute scale. This course is an introduction to thefield, with special emphasis on sound modern methods. Thetopics include knowledge representation, problem solvingvia search, game playing, logical and probabilistic reasoning,planning, dynamic programming, and reinforcement learning.Programming exercises concretize the key methods. The coursetargets graduate students and advanced undergraduates.Evaluation is based on written and programming assignments,a midterm exam and a final exam. Prerequisites: CSE 247, ESE326, Math 233.Credit 3 units. EN: TU
E81 CSE 513T Theory of Artificial Intelligence and MachineLearningMathematical foundations for Artificial Intelligence and MachineLearning. An introduction to the PAC-Semantics ("ProbablyApproximately Correct") as a common semantics for knowledgeobtained from learning and declarative sources, and thecomputational problems underlying the acquisition andprocessing of such knowledge. We emphasize the design andanalysis of efficient algorithms for these problems, and examinefor which representations these problems are known or believedto be tractable. Prerequisite: CSE 347.Credit 3 units. EN: BME T, TU
E81 CSE 514A Data MiningWith the vast advancement in science and technology, dataacquisition in large quantities are routinely done in many fields.Examples of large data include various types of data on theinternet, high-throughput sequencing data in biology andmedicine, extraterrestrial data from telescopes in astronomy,and images from surveillance camera in security. Mining alarge amount of data through data mining has become aneffective means to extracting knowledge from data. This courseintroduces the basic concepts and methods for data mining andprovides hands-on experience for processing, analyzing andmodeling structured and unstructured data. Homework problems,examines and programming assignments will be administratedthroughout the course to enhance the learning. Prerequisites:CSE 247, ESE 326 (or Math 3200), Math 233Credit 3 units. EN: BME T, TU
E81 CSE 515T Bayesian Methods in Machine LearningThis course will cover machine learning from a Bayesianprobabilistic perspective. Bayesian probability allows us tomodel and reason about all types of uncertainty. The result is apowerful, consistent framework for approaching many problemsthat arise in machine learning, including parameter estimation,model comparison, and decision making. We will begin witha high-level introduction to Bayesian inference, then proceedto cover more-advanced topics. These will include inferencetechniques (exact, MAP, sampling methods, the Laplaceapproximation, etc.), Bayesian decision theory, Bayesianmodel comparison, Bayesian nonparametrics, and Bayesianoptimization. Prerequisites: CSE 417T, ESE 326
33
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Credit 3 units. EN: BME T, TU
E81 CSE 516A Multi-Agent SystemsThis course introduces the fundamental techniques andconcepts needed to study multi-agent systems, in which multipleautonomous entities with different information sets and goalsinteract. We will study algorithmic, mathematical, and game-theoretic foundations, and how these foundations can help usunderstand and design systems ranging from robot teams toonline markets to social computing platforms. Topics coveredmay include game theory, distributed optimization, multi-agent learning and decision-making, preference elicitationand aggregation, mechanism design, and incentives in socialcomputing systems. Prerequisites: CSE 347 (may be takenconcurrently), ESE 326 (or Math 3200), and Math 233 orequivalents. Some prior exposure to artificial intelligence,machine learning, game theory, and microeconomics may behelpful, but is not required.Credit 3 units. EN: BME T, TU
E81 CSE 517A Machine LearningThis course assumes a basic understanding of machinelearning and covers advanced topics at the frontier of thefield in-depth. Topics to be covered include kernel methods(support vector machines, Gaussian processes), neural networks(deep learning), and unsupervised learning. Depending ondevelopments in the field, the course will also cover someadvanced topics, which may include learning from structureddata, active learning, and practical machine learning (featureselection, dimensionality reduction). Prerequisites: CSE 417T.Credit 3 units. EN: TU
E81 CSE 518A Human-in-the-Loop ComputationThis course is an exploration of the opportunities and challengesof human-in-the-loop computation, an emerging field thatexamines how humans and computers can work together tosolve problems neither can yet solve alone. We will exploreways in which techniques from machine learning, game theory,optimization, online behavioral social science, and human-computer interactions can be used to model and analyze human-in-the-loop systems such as crowdsourcing markets, predictionmarkets, and user-generated content platforms. We will also lookinto recent developments in the interactions between humansand AIs, such as learning with the presence of strategic behaviorand ethical issues in AI systems. Prerequisites: CSE 247, ESE326, Math 233, and Math 309.Credit 3 units. EN: TU
E81 CSE 519T Advanced Machine LearningThis course provides a close look at advanced machine learningalgorithms -- their theoretical guarantees (computational learningtheory) and tricks to make them work in practice. In addition,this course focuses on more specialized learning settings,including unsupervised learning, semi-supervised learning,domain adaptation, multi-task learning, structured prediction,metric learning and learning of data representations. Learningapproaches may include graphical models, non-parametricBayesian statistics, and technical topics such as sampling,approximate inference and non-linear function optimization.Mathematical maturity and general familiarity of machinelearning is required. Prerequisites: CSE 511A, CSE 517A, andCSE 571ACredit 3 units. EN: TU
E81 CSE 520S Real-Time SystemsThis course covers software systems and network technologiesfor real-time applications such as automobiles, avionics,industrial automation and Internet of Things. Topics include real-time scheduling, real-time operating systems and middleware,Quality of Service, industrial networks and real-time cloudcomputing. Prerequisite: CSE 361SCredit 3 units. EN: BME T, TU
E81 CSE 521S Wireless Sensor NetworksDense collections of smart sensors networked to form self-configuring pervasive computing systems provide a basis fora new computing paradigm that challenges many classicalapproaches to distributed computing. Naming, wirelessnetworking protocols, data management, and approaches todependability, real-time, security, and middleware servicesall fundamentally change when confronted with this newenvironment. Embedded sensor networks and pervasivecomputing are among the most exciting research areas withmany open research questions. This class will study a largenumber of research papers that deal with various aspects ofwireless sensor networks. Students will perform a project ona real wireless sensor network comprised of tiny devices eachconsisted of sensors, a radio transceiver, and a microcontroller.Prerequisites: CSE 361S.Credit 3 units. EN: BME T, TU
E81 CSE 522S Advanced Operating SystemsThis course offers an in-depth hands-on exploration of coreOS abstractions, mechanisms and policies, with an increasingfocus on understanding and evaluating their behaviors andinteractions. Readings, lecture material, studio exercises, andlab assignments are closely integrated in an active-learningenvironment in which students gain experience and proficiencywriting, tracing, and evaluating user-space and kernel-spacecode. Topics include: inter-process communication, real-time systems, memory forensics, file-system forensics, timingforensics, process and thread forensics, hypervisor forensics,and managing internal or external causes of anomalousbehavior. Prerequisite: CSE 422S.Credit 3 units. EN: BME T, TU
E81 CSE 523S Systems SecurityThis course examines the intersection between computer designand information security. While performance and efficiency indigital systems have improved markedly in recent decades,computer security has worsened overall in this time frame. Tounderstand why, we will explore the role that design choices playin the security characteristics of modern computer and networksystems. Students will use and write software to illustratemastery of the material. Projects will include identifying securityvulnerabilities, exploiting vulnerabilities, and detecting anddefending against exploits. Prerequisite: CSE 361S.Credit 3 units. EN: BME T, TU
E81 CSE 530S Database Management SystemsA study of data models and the database management systemsthat support these data models. The design theory for databasesis developed and various tools are utilized to apply the theory.General query languages are studied and techniques forquery optimization are investigated. Integrity and securityrequirements are studied in the context of concurrent operations
34
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
on a database, where the database may be distributed overone or more locations. The unique requirements for engineeringdesign databases, image databases, and long transactionsystems are analyzed. Prerequisite: CSE 247.Credit 3 units.
E81 CSE 532S Advanced Multiparadigm SoftwareDevelopmentIntensive focus on advanced design and implementation ofconcurrent and distributed system software in C++. Topicscovered include concurrency and synchronization features andsoftware architecture patterns. Prerequisites: CSE 332S orgraduate standing and strong familiarity with C++; and CSE422S.Credit 3 units. EN: BME T, TU
E81 CSE 534A Large-Scale Optimization for Data ScienceLarge-scale optimization is an essential component of moderndata science, artificial intelligence, and machine learning.This graduate-level course rigorously introduces optimizationmethods that are suitable for large-scale problems arising inthese areas. Students will learn several algorithms suitable forboth smooth and nonsmooth optimization, including gradientmethods, proximal methods, mirror descent, Nesterov'sacceleration, ADMM, quasi-Newton methods, stochasticoptimization, variance reduction, and distributed optimization.Throughout the class, we will discuss the efficacy of thesemethods in concrete data science problems, under appropriatestatistical models. Students will be required to program in Pythonor MATLAB. Prerequisites: CSE 247, Math 309, Math 3200 orESE 326.Credit 3 units. EN: TU
E81 CSE 538T Modeling and Performance Evaluation ofComputer SystemsModern computing systems consist of multiple interconnectedcomponents that all influence performance. The focus of thiscourse is on developing modeling tools aimed at understandinghow to design and provision such systems to meet certainperformance or efficiency targets and the trade-offs involved.The course covers Markov chains and their applications tosimple queues, and it proceeds to explore more complexsystems, including server farms and how to optimize theirperformance through scheduling and task assignment policies.The course includes a brief review of the necessary probabilityand mathematical concepts. Prerequisite: ESE 326.Credit 3 units. EN: BME T, TU
E81 CSE 539S Concepts in Multicore ComputingNowadays, the vast majority of computer systems are builtusing multicore processor chips. This fundamental shift inhardware design impacts all areas of computer science - onemust write parallel programs in order to unlock the computationalpower provided by modern hardware. The goal of this courseis to study concepts in multicore computing. We will examinethe implications of the multicore hardware design, discusschallenges in writing high performance software, and studyemerging technologies relevant to developing software formulticore systems. Topics include memory hierarchy, cachecoherence protocol, memory models, scheduling, high-level parallel language models, concurrent programming(synchronization and concurrent data structures), algorithmsfor debugging parallel software, and performance analysis.Prerequisites: CSE 247 and CSE 361S.
Credit 3 units. EN: BME T, TU
E81 CSE 541T Advanced AlgorithmsProvides a broad coverage of fundamental algorithm designtechniques, with a focus on developing efficient algorithms forsolving combinatorial and optimization problems. The topicscovered include the review of greedy algorithms, dynamicprogramming, NP-completeness, approximation algorithms, theuse of linear and convex programming for approximation, andonline algorithms. Throughout this course, there is an emphasison correctness proofs and the ability to apply the techniquestaught to design efficient algorithms for problems from a widevariety of application areas. Prerequisite: CSE 347.Credit 3 units. EN: BME T, TU
E81 CSE 543S Advanced Secure Software EngineeringThe aim of this course is to provide students with broaderand deeper knowledge as well as hands-on experience inunderstanding security techniques and methods needed insoftware development. Students complete an independentresearch project which will involve synthesizing multiple softwaresecurity techniques and applying them to an actual softwareprogram or system.Credit 3 units. EN: TU
E81 CSE 543T Algorithms for Nonlinear OptimizationThe course will provide an in-depth coverage of modernalgorithms for the numerical solution of multidimensionaloptimization problems. Unconstrained optimization techniquesincluding Gradient methods, Newton's methods, Quasi-Newtonmethods, and conjugate methods will be introduced. Theemphasis is on constrained optimization techniques: Lagrangetheory, Lagrangian methods, penalty methods, sequentialquadratic programming, primal-dual methods, duality theory,nondifferentiable dual methods, and decomposition methods.The course will also discuss applications in engineering systemsand use of state-of-the-art computer codes. Special topics mayinclude large-scale systems, parallel optimization, and convexoptimization. Prerequisites: Calculus I and Math 309.Credit 3 units.
E81 CSE 544A Special Topics in Artificial IntelligenceThe material for this course varies among offerings, but thiscourse generally covers advanced or specialized topics inartificial intelligence.Credit 3 units. EN: TU
E81 CSE 544T Special Topics in Computer Science TheoryThe material for this course varies among offerings, but thiscourse generally covers advanced or specialized topics incomputer science theory.Credit 3 units. EN: BME T, TU
E81 CSE 546T Computational GeometryComputational geometry is the algorithmic study of problems thatinvolve geometric shapes such as points, lines, and polygons.Such problems appear in computer graphics, vision, robotics,animation, visualization, molecular biology, and geographicinformation systems. This course covers data structures that areunique to geometric computing, such as convex hull, Voronoi
35
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
diagram, Delaunay triangulation, arrangement, range searching,KD-trees, and segment trees. Also covered are algorithms forpolygon triangulation, path planning, and the art gallery problem.Prerequisite: CSE 347.Credit 3 units.
E81 CSE 547T Introduction to Formal Languages andAutomataAn introduction to the theory of computation, with emphasis onthe relationship between formal models of computation and thecomputational problems solvable by those models. Specifically,this course covers finite automata and regular languages;Turing machines and computability; and basic measures ofcomputational complexity and the corresponding complexityclasses. Prerequisites: CSE 240 and CSE 247.Credit 3 units.
E81 CSE 549T Theory of Parallel SystemsThe course covers various aspects of parallel programmingsuch as algorithms, schedulers and systems from a theoreticalperspective. We will cover both classic and recent results inparallel computing. Topics include parallel algorithms andanalysis in the work/span model, scheduling algorithms, externalmemory algorithms and their analysis, cache-coherenceprotocols, etc. The focus will be on design and analysis.Prerequisite: CSE 247.Credit 3 units. EN: BME T, TU
E81 CSE 554A Geometric Computing for BiomedicineWith the advance of imaging technologies deployed in medicine,engineering and science, there is a rapidly increasing amountof spatial data sets (images, volumes, point clouds, etc.) thatneed to be processed, visualized, and analyzed. This coursewill focus on a number of geometry-related computing problemsthat are essential in the knowledge discovery process in variousspatial-data-driven biomedical applications. These problemsinclude visualization, segmentation, mesh construction andprocessing, shape representation and analysis. The courseconsists of lectures that cover theories and algorithms, and aseries of hands-on programming projects using real-world datacollected by various imaging techniques (CT, MRI, electroncryo-microscopy, etc.). Prerequisite: CSE332 (or proficiency inprogramming in C++ or Java or Python) and CSE247.Credit 3 units. EN: BME T, TU
E81 CSE 555A Computational PhotographyComputational Photography describes the convergence ofcomputer graphics, computer vision, and the internet withphotography. Its goal is to overcome the limitations of traditionalphotography using computational techniques to enhance theway we capture, manipulate and interact with visual media.In this course we study many interesting, recent image-basedalgorithms and implement them to the degree that is possible.Topics may include: cameras and image formation, humanvisual perception, image processing (filtering, pyramids), imageblending and compositing, image retargeting, texture synthesisand transfer, image completion/inpainting, super-resolution,deblurring, denoising, image-based lighting and rendering, highdynamic range, depth and defocus, flash/no flash photography,coded aperture photography, single/multiview reconstruction,photo quality assessment, non photorealistic rendering, modelingand synthesis using internet data, and others. Prerequisites:CSE 452A, CSE 554A, or CSE 559A.Credit 3 units. EN: BME T, TU
E81 CSE 556A Human-Computer Interaction MethodsAn introduction to user centered design processes. The coursecovers a variety of HCI techniques for use at different stages inthe software development cycle, including techniques that canbe used with and without users. Students will gain experienceusing these techniques through in-class exercises and thenapply them in greater depth through a semester long interfacedevelopment project. Students who enroll in this course areexpected to be comfortable with building user interfacesin at least one framework and be willing to learn whateverframework is most appropriate for their project. Over the courseof the semester, students will be expected to present theirinterface evaluation results through written reports and in classpresentations. Prerequisites: 3xxS or 4xxS.Credit 3 units. EN: BME T, TU
E81 CSE 557A Advanced VisualizationWe are in an era where it is possible to have all of the world'sinformation at our fingertips. However, the more informationwe can access, the more difficult it is to obtain a holistic viewof the data or to determine what's important to make decisions.Computer-based visualization systems provide the opportunityto represent large or complex data visually to aid comprehensionand cognition. In this course, we learn about the state-of-the-artin visualization research and gain hands-on experience with theresearch pipeline. We also learn how to critique existing workand how to formulate and explore sound research questions. Wewill cover advanced Visualization topics including User Modeling,Adaptation, Personalization, Perception, and Visual Analyticsfor Non-Experts. Prerequisites: CSE 457A or permission ofinstructorCredit 3 units. EN: BME T, TU
E81 CSE 559A Computer VisionThis course introduces the fundamentals of designing computervision systems: that can "look at" images and videos and reasonabout the physical objects and scenes they represent. Topicsinclude image restoration and enhancement; estimation ofcolor, shape, geometry, and motion from images; and imagesegmentation, recognition, and classification. The focus of thecourse will be on the mathematical tools and intuition underlyingalgorithms for these tasks: models for the physics and geometryof image formation, and statistical and machine learning-basedtechniques for inference. Prerequisites: Math 309 or ESE 318 orequivalent; Math 3200 or ESE 326 or equivalent; and CSE 247or equivalentCredit 3 units. EN: BME T, TU
E81 CSE 560M Computer Systems Architecture IAn exploration of the central issues in computer architecture:instruction set design, addressing and register set design, controlunit design, microprogramming, memory hierarchies (cache andmain memories, mass storage, virtual memory), pipelining, andbus organization. The course emphasizes understanding theperformance implications of design choices, using architecturemodeling and evaluation using VHDL and/or instruction setsimulation. Prerequisites: CSE 361S and CSE 260M.Credit 3 units. EN: BME T, TU
36
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
E81 CSE 566S High Performance Computer SystemsMany applications make substantial performance demandsupon the computer systems upon which those applicationsare deployed. In this context, performance is frequentlymultidimensional, including resource efficiency, power,execution speed (which can be quantified via elapsed run time,data throughput, or latency), and so on. Modern computingplatforms exploit parallelism and architectural diversity (e.g.,co-processors such as graphics engines and/or reconfigurablelogic) to achieve the desired performance goals. This courseaddresses the practical aspects of achieving high performanceon modern computing platforms. This includes questionsranging from how the computing platform is designed to how areapplications and algorithms expressed to exploit the platform'sproperties. Particular attention is given to the role of applicationdevelopment tools. Prerequisite: familiarity with softwaredevelopment in Linux preferred, graduate standing or permissionof instructor.Credit 3 units. EN: BME T, TU
E81 CSE 567M Computer Systems AnalysisA comprehensive course on performance analysis techniques.The topics include common mistakes, selection of techniquesand metrics, summarizing measured data, comparing systemsusing random data, simple linear regression models, otherregression models, experimental designs, 2**k experimentaldesigns, factorial designs with replication, fractional factorialdesigns, one factor experiments, two factor full factorial designw/o replications, two factor full factorial designs with replications,general full factorial designs, introduction to queueing theory,analysis of single queues, queueing networks, operationallaws, mean-value analysis, time series analysis, heavy taileddistributions, self-similar processes, long-range dependence,random number generation, analysis of simulation results, andart of data presentation. Prerequisites: CSE 260M.Credit 3 units. EN: BME T, TU
E81 CSE 569S Advanced IoT, Real-Time, and EmbeddedSystems SecurityThe aim of this course is to provide students with knowledge andhands-on experience in understanding the security techniquesand methods needed for IoT, real-time, and embedded systems.Students complete an independent research project which willinvolve synthesizing multiple security techniques and applyingthem to an actual IoT, real-time, or embedded system or device.Credit 3 units. EN: TU
E81 CSE 570S Recent Advances in NetworkingThis course covers the latest advances in networking. The topicsinclude networking trends, data center network topologies,data center Ethernet, carrier IP, Multiprotocol Label Switching(MPLS), carrier Ethernet, virtual bridging, LAN extension andvirtualization using Layer 3 protocols, virtual routing protocols,the "internet of things," data link layer and managementprotocols for the internet of things, networking layer protocolsfor the internet of things, 6LoWPAN, RPL, messaging protocolsfor the internet of things, MQTT, OpenFlow, software-definednetworking (SDN) network function virtualization (NFV), bigdata, networking issues for big data, network configuration,and data modeling, NETCONF, YIN, YANG, BEEP, and UML.Prerequisite: CSE 473S or equivalent.Credit 3 units. EN: BME T, TU
E81 CSE 571S Network SecurityThis course covers principles and techniques in securingcomputer networks. Real world examples will be used toillustrate the rationales behind various security designs.There are three main components in the course, preliminarycryptography, network protocol security and network applicationsecurity. Topics include IPSec, SSL/TLS, HTTPS, networkfingerprinting, network malware, anonymous communication,and blockchain. The class project allows students to take a deepdive into a topic of choice in network security. Prerequisite: CSE473S.Credit 3 units. EN: BME T, TU
E81 CSE 574S Wireless and Mobile NetworkingFirst course in wireless networking providing a comprehensivetreatment of wireless data and telecommunication networks.Topics include recent trends in wireless and mobile networking,wireless coding and modulation, wireless signal propagation,IEEE 802.11a/b/g/n/ac wireless local area networks, 60GHz millimeter wave gigabit wireless networks, vehicularwireless networks, white spaces, IEEE 802.22 regional areanetworks, Bluetooth and Bluetooth Smart, wireless personal areanetworks, wireless protocols for the "internet of things," ZigBee,cellular networks: 1G/2G/3G, LTE, LTE-Advanced, and 5G.Prerequisites: CSE 473S or permission of the instructor.Credit 3 units. EN: BME T, TU
E81 CSE 581T Approximation AlgorithmsNumerous optimization problems are intractable to solveoptimally. The intractability of a problem could come from theproblem's computational complexity, for instance the problemis NP-Hard, or other computational barriers. To cope with theinability to find an optimal algorithm, one may desire an algorithmthat is guaranteed to return a solution that is comparable tothe optimum. Such an algorithm is known as an approximationalgorithm. Approximation algorithms are a robust way to copewith intractability, and they are widely used in practice or areused to guide the development of practical heuristics. Thearea of approximation algorithms has developed a vast theory,revealing the underlying structure of problems as well as theirdifferent levels of difficulty. The majority of this course will focuson fundamental results and widely applicable algorithmic andanalysis techniques for approximation algorithms. Prerequisite:CSE 347.Credit 3 units. EN: BME T, TU
E81 CSE 584A Algorithms for Biosequence ComparisonThis course surveys algorithms for comparing and organizingdiscrete sequential data, especially nucleic acid and proteinsequences. Emphasis is on tools to support search in massivebiosequence databases and to perform fundamental comparisontasks such as DNA short-read alignment. Prerequisites: CSE347 or instructor's permission These techniques are also ofinterest for more general string processing and for buildingand mining textual databases. Algorithms are presentedrigorously, including proofs of correctness and running timewhere feasible. Topics include classical string matching, suffixarray string indices, space-efficient string indices, rapid inexactmatching by filtering (including BLAST and related tools),and alignment-free algorithms. Students complete writtenassignments and implement advanced comparison algorithms toaddress problems in bioinformatics. This course does not requirea biology background. Prerequisites: CSE 347 or instructorpermission Revised: 2019-02-21
37
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Credit 3 units. EN: BME T, TU
E81 CSE 585T Sparse Modeling for Imaging and VisionSparse modeling is at the heart of modern imaging, vision, andmachine learning. It is a fascinating new area of research thatseeks to develop highly effective data models. The core idea insparse modeling theory is a novel redundant transform, wherethe number of transform coefficients is larger compared to theoriginal data dimension. Together with redundancy comes anopportunity of seeking the sparsest possible representation,or the one with the fewest non-zeros. This core idea leadsto a series of beautiful theoretical and practical results withmany applications such as regression, prediction, restoration,extrapolation, compression, detection, and recognition. In thiscourse, we will explore sparse modeling by covering theoreticalas well as algorithmic aspects with applications in computationalimaging and computer vision. Prerequisites: ESE 318, Math 233,Math 309, and Math 429, or equivalents. Coding with MATLABor Python.Credit 3 units. EN: BME T, TU
E81 CSE 586A Analysis of Imaging DataThis course focuses on an in-depth study of advanced topicsand interests in image data analysis. Students will learn abouthardcore imaging techniques and gain the mathematicalfundamentals needed to build their own models for effectiveproblem solving. Topics of deformable image registration,numerical analysis, probabilistic modeling, data dimensionalityreduction, and convolutional neural networks for imagesegmentation will be covered. The main focus might changefrom semester to semester. Prerequisites: Math 309, ESE 326,and CSE 247.Credit 3 units.
E81 CSE 587A Algorithms for Computational BiologyThis course is a survey of algorithms and mathematical methodsin biological sequence analysis (with a strong emphasis onprobabilistic methods) and systems biology. Sequence analysistopics include introduction to probability, probabilistic inference inmissing data problems, hidden Markov models (HMMs), profileHMMs, sequence alignment, and identification of transcription-factor binding sites. Systems biology topics include discoveryof gene regulatory networks, quantitative modeling of generegulatory networks, synthetic biology, and (in some years)quantitative modeling of metabolism. Prerequisites: CSE 131 orCSE 501N.Credit 3 units. EN: TU
E81 CSE 591 Introduction to Graduate Study in CSEIntroduces students to the different areas of research conductedin the department. Provides an introduction to research skills,including literature review, problem formulation, presentation,and research ethics. Lecture and discussion are supplementedby exercises in the different research areas and in criticalreading, idea generation, and proposal writing.Credit 3 units.
E81 CSE 598 Master's ProjectStudents electing the project option for their master's degreeperform their project work under this course. In order tosuccessfully complete this course, students must defend theirproject before a three-person committee and present a 2-3page extended abstract. Prerequisite: permission of adviser andsubmission of a research proposal form.Credit variable, maximum 6 units.
E81 CSE 599 Master's ResearchStudents electing the thesis option for their master's degreeperform their thesis research under this course. In order tosuccessfully complete a master's thesis, students must enroll in6 units of this course typically over the course of two consecutivesemesters, produce a written thesis, and defend the thesisbefore a three-person committee. Prerequisite: permission ofadviser and submission of a research proposal form.Credit variable, maximum 6 units.
E81 CSE 637S Software SecurityIn this course, students will be introduced to the foundationsof software security. We will be exploring different classes ofsoftware vulnerabilities, analyzing the fundamental problemsbehind these vulnerabilities, and studying the methods andtechniques to discover, exploit, prevent and mitigate thesevulnerabilities. Topics of interest include buffer overflow, integeroverflow, type confusion, use-after-free, and so on. Throughoutthe course, we take a defense-in-depth mentality and see howsystems can be protected. Students are expected to have a solidunderstanding of assembly language, C/C++, and operatingsystems. Prerequisite: CSE 361S.Credit 3 units.
E81 CSE 659A Advances in Computer VisionComputer vision is a fast moving ?eld, with the past fewyears seeing tremendous advances in the development ofcomputational algorithms for solving visual tasks. This course isdesigned to introduce you to advanced and recently publishedtechniques for problems in low-level vision, recognition andclassi?cation, and computational photography. Prerequisite: CSE559ACredit 3 units.
E81 CSE 699 Doctoral ResearchCredit variable, maximum 9 units.
E81 CSE 7001 Research Seminar on Computer SciencePedagogyThis seminar will examine research, techniques, approaches,and strategies for teaching computer science at theundergraduate and graduate levels. Participants will take turnspresenting a particular paper or concept and then leading anensuing discussion. While this seminar may be especially helpfulfor those contemplating an academic career, the seminar is opento all interested participants.Credit 1 unit.
E81 CSE 7100 Research Seminar on Machine LearningResearch seminars examine publications, techniques,approaches and strategies within an area of computer scienceand engineering. Seminars are highly participational: Studentsare expected to take turns presenting material, to prepare for
38
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
seminar by reading any required material, and to contribute tothe group's discussions. The actual topics covered in a seminarwill vary by semester and instructor. Interested students areencouraged to obtain a syllabus from the instructor's webpage orby contacting the instructor.Credit 1 unit.
E81 CSE 7200 Research Seminar on Robotics and Human-Computer InteractionResearch seminars examine publications, techniques,approaches and strategies within an area of computer scienceand engineering. Seminars are highly participational: Studentsare expected to take turns presenting material, to prepare forseminar by reading any required material, and to contribute tothe group's discussions. The actual topics covered in a seminarwill vary by semester and instructor. Interested students areencouraged to obtain a syllabus from the instructor's webpage orby contacting the instructor.Credit 1 unit.
E81 CSE 7300 Research Seminar on Software SystemsResearch seminars examine publications, techniques,approaches and strategies within an area of computer scienceand engineering. Seminars are highly participational: Studentsare expected to take turns presenting material, to prepare forseminar by reading any required material, and to contribute tothe group's discussions. The actual topics covered in a seminarwill vary by semester and instructor. Interested students areencouraged to obtain a syllabus from the instructor's webpage orby contacting the instructor.Credit 1 unit.
E81 CSE 7400 Research Seminar on Algorithms and TheoryResearch seminars examine publications, techniques,approaches and strategies within an area of computer scienceand engineering. Seminars are highly participational: Studentsare expected to take turns presenting material, to prepare forseminar by reading any required material, and to contribute tothe group's discussions. The actual topics covered in a seminarwill vary by semester and instructor. Interested students areencouraged to obtain a syllabus from the instructor's webpage orby contacting the instructor.Credit 1 unit.
E81 CSE 7500 Research Seminar on Graphics and VisionResearch seminars examine publications, techniques,approaches and strategies within an area of computer scienceand engineering. Seminars are highly participational: Studentsare expected to take turns presenting material, to prepare forseminar by reading any required material, and to contribute tothe group's discussions. The actual topics covered in a seminarwill vary by semester and instructor. Interested students areencouraged to obtain a syllabus from the instructor's webpage orby contacting the instructor.Credit 1 unit.
E81 CSE 7600 Research Seminar on Analog ComputingThis seminar will focus on classic and recent papers on analog,stochastic and neuromorphic computing. Students will read,present, and discuss journal papers on analog techniques forimplementing sensors and processors. Focus will be placed onfundamental advances and challenges of implementing analogprocessors. No prerequisites.
Credit 1 unit.
E81 CSE 7700 Research Seminar on Networking andCommunicationsResearch seminars examine publications, techniques,approaches and strategies within an area of computer scienceand engineering. Seminars are highly participational: Studentsare expected to take turns presenting material, to prepare forseminar by reading any required material, and to contribute tothe group's discussions. The actual topics covered in a seminarwill vary by semester and instructor. Interested students areencouraged to obtain a syllabus from the instructor's webpage orby contacting the instructor.Credit 1 unit.
E81 CSE 7800 Research Seminar on Computational SystemsBiologyResearch seminars examine publications, techniques,approaches and strategies within an area of computer scienceand engineering. Seminars are highly participational: Studentsare expected to take turns presenting material, to prepare forseminar by reading any required material, and to contribute tothe group's discussions. The actual topics covered in a seminarwill vary by semester and instructor. Interested students areencouraged to obtain a syllabus from the instructor's webpage orby contacting the instructor.Credit 1 unit.
E81 CSE 7900 Research Seminar on Parallel ComputingThis seminar will focus on classic and recent papers on parallelcomputing. Students will read, present and discuss paperson parallel models, algorithms and architectures from topconferences and journals. Focus will be placed on fundamentaladvances and theoretical models and algorithms, rather than onimplementation papers. No prerequisites.Credit 1 unit.
E81 CSE 801 PedagogyA student taking this course studies the fundamentals ofteaching in the discipline of computer science and computerengineering. A student enrolled in this course staffs someother course taught by our department, serving as its primaryinstructor or co-instructor. That student receives frequentmentoring and feedback on preparation and delivery. Thiscourse is recommended especially for doctoral students whoseek a career in computer science and engineering education.Credit 3 units.
PhD in Computer Science orComputer EngineeringStudents can choose to pursue a PhD in Computer Science or aPhD in Computer Engineering. The requirements vary for eachdegree. Here are the core requirements:
• Complete 72 units of regular — including graded —courses (at least 33 units, of which 9 must fulfill breadthrequirements), seminars (at least 3 units), and researchcredits (at least 24 units).
39
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
• Satisfy fundamental teaching requirements by participatingin mentored teaching experiences and complete scholarlycommunication requirements by participating in the DoctoralStudent Research Seminar.
• Pass milestones that demonstrate the ability to understandresearch literature, to communicate orally and in writing,and to formulate a detailed research plan. These milestonesinclude an oral qualifying examination, a dissertationproposal defense, and a dissertation defense.
For more information, please refer to the Doctoral ProgramGuide available on the Computer Science & Engineeringwebsite (https://cse.wustl.edu/graduate/programs/Pages/phd-programs.aspx).
Master of Science (MS) inComputer ScienceThe Master of Science (MS) in Computer Science is directedtoward students with a computer science background who arelooking for a program and courses that are more focused onsoftware. This can be either a pure course option program, or itcan incorporate either a project or a thesis. If a student choosesa degree option that incorporates a research experience, thisMS degree may provide a solid stepping stone to future doctoralstudies. All students in the MS in Computer Science programmust have previously completed (as documented by theirundergraduate transcript), successfully test to place out of, orcomplete at the start of their program the following courses:CSE 501N Introduction to Computer Science and CSE 502NData Structures and Algorithms (or equivalent courses offered atother institutions).
Course OptionThis option requires 30 units of graduate credit. Students mustalso follow the general degree requirements listed below andcomplete the breadth requirements.
Thesis/Project OptionThe thesis and project options require 24 units of graduate creditin addition to 6 units of either thesis or project courses (CSE 599or CSE 598, respectively). Students pursuing the project optionmay opt to take 27 units of graduate courses and only 3 units ofCSE 598, with adviser approval. Students must also follow thegeneral degree requirements listed below. Thesis students areexempt from the breadth requirements.
General Degree Requirements• Breadth requirements, which are required for the course and
project options, include one 500-level Theoretical ComputerScience (T) course, one 500-level Software Systems (S)course, and one 500-level Machine and Architecture (M)course.
• 18 of the 30 units must be departmental courses at the 500level or above.
• With departmental approval, up to 12 units may be takenfrom outside of the department. Such approval will becontingent on the credits being for suitably technicalgraduate-level content. To count more than 6 units fromoutside the CSE department, an appropriate justification forthe additional increment must be provided by the adviserand student. Departmental approval will be evaluated withincreasing stringency for each additional increment.
• Up to 9 units of 400-level courses can count for graduatecredit.
• None of of the 30 units may be taken as independent study(i.e., CSE 400 or CSE 500).
• Courses with an "N" designation do not count toward themaster's degree.
• All courses must be taken for a grade of C- or better.
• As per School of Engineering guidelines, students mustmaintain a grade-point average of at least 2.70.
Master of Science (MS) inComputer EngineeringThe Master of Science (MS) in Computer Engineering is bestsuited for students who are looking to focus more on computerengineering (hardware) aspects. Like the MS in ComputerScience, the MS in Computer Engineering program can bea pure course option program, or it can incorporate either aproject or a thesis. If appropriate research experiences areincluded in the degree option, this can also lead toward futuredoctoral studies. All students in the MS in Computer Engineeringprogram must have previously completed (as documented bytheir undergraduate transcript), successfully test to place out of,or complete at the start of their program the following courses:CSE 501N Introduction to Computer Science and CSE 505NIntroduction to Digital Logic and Computer Design (or equivalentcourses offered at other institutions).
The Master of Science in Computer Engineering degree isjointly administered by the Department of Computer Scienceand Engineering and the Department of Electrical and SystemsEngineering
Course OptionThis option requires 30 units of graduate credit. Students mustalso follow the general degree requirements listed below.
40
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Thesis/Project OptionThe thesis and project options require 24 units of graduate creditin addition to 6 units of either thesis or project courses (CSE/ESE 599 or CSE 598, respectively). Students pursuing theproject option may opt to take 27 units of graduate courses andonly 3 units of CSE 598, with adviser approval. Students mustalso follow the general degree requirements listed below.
General Degree Requirements• 18 of the 30 units must be from the designated graduate-
level Computer Engineering courses. Please visitour MS in Computer Engineering website (https://cse.wustl.edu/graduate/programs/Pages/ms-in-computer-engineering.aspx) for a comprehensive list.
• In addition to the non-CSE courses on the list of designatedgraduate-level Computer Engineering courses, upto 12 additional units may be taken from outside thedepartment. Such approval will be contingent on the creditsbeing for suitably technical graduate-level content. To countmore than 6 units from outside the CSE department, anappropriate justification for the additional increment mustbe provided by the adviser and student. Departmentalapproval will be evaluated with increasing stringency foreach additional increment.
• Up to 12 units of 400-level courses can count for graduatecredit.
• None of of the 30 units may be taken as independent study(i.e., CSE 400 or CSE 500).
• Courses with an "N" designation do not count toward themaster's degree.
• All courses must be taken for a grade of C- or better.
• As per School of Engineering guidelines, students mustmaintain a grade-point average of at least 2.70.
Master of Science (MS) inCybersecurity EngineeringThe Master of Science (MS) in Cybersecurity Engineering atWashington University will give students the skills, knowledgeand expertise needed to work in the rapidly growing field ofcybersecurity and to design, engineer and architect cybersecuritytechnology and systems. Graduates of this program will beequipped with the theoretical and hands-on engineeringexpertise required to solve complex cybersecurity problems thataffect diverse enterprises worldwide.
The program includes a set of core foundational courses thatfocus on operating systems as well as network and systemssecurity. Students pursuing this degree may also choose frommore advanced cybersecurity elective courses that will builddeeper integrative knowledge of key concepts. Work in theprogram culminates in either a capstone project or a final thesis.The capstone project should focus on a specific set of technical
cybersecurity challenges, with the objective of designing animplementable solution to those challenges. The thesis optionallows students to plan, execute and report on an individualproject that addresses a substantial problem, covering bothpractical and scientific aspects. Students planning to pursue aPhD degree after completing the MS in Cybersecurity degree areparticularly encouraged to pick the thesis option.
All students in the MS in Cybersecurity Engineering programmust have previously completed (as documented by theirundergraduate transcript), successfully tested to place out of,or completed at the start of their program the following courses:CSE 501N Introduction to Computer Science and CSE 502NData Structures and Algorithms (or equivalent courses offered atother institutions).
Core CoursesCode Title Units
CSE 422S Operating Systems Organization 3
CSE 433S Introduction to Computer Security 3
CSE 473S Introduction to Computer Networks 3
CSE 523S Systems Security 3
CSE 571S Network Security 3
Total Units 15
Program ElectivesChoose three courses:
Code Title Units
CSE 522S Advanced Operating Systems 3
CSE 544T Special Topics in Computer ScienceTheory
3
CSE 569S Advanced IoT, Real-Time, andEmbedded Systems Security
3
CSE 637S Software Security 3
CYBER 565 Cybersecurity Analytics 3
CYBER 566 Cybersecurity Risk Management 3
CYBER 567 The Hacker Mindset: Cyber AttackFundamentals
3
CSE 434S Reverse Engineering and MalwareAnalysis
3
Culminating ExperienceChoose one of the following:
Code Title Units
CSE 598 Master's Project 6
CSE 599 Master's Research 6
(6 units required, typically completed over the course oftwo semesters)
41
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
General Degree Requirements• Students who have already taken core or elective courses
specified by the program can, with departmental approval,substitute other courses that are suitably technicaland appropriate to the degree program. Departmentalapproval will require justification and will be evaluated withincreasing stringency for each additional substitution.
• None of of the 30 units may be taken as independent study(i.e., CSE 400 or CSE 500).
• Courses with an "N" designation do not count toward themaster's degree.
• All courses must be taken for a grade of C- or better.
• As per McKelvey School of Engineering guidelines, studentsmust maintain a grade-point average of at least 2.70.
Master of Engineering (MEng)in Computer Science andEngineeringThe Master of Engineering (MEng) in Computer Science andEngineering is specifically designed for students who wouldlike to combine studies in computer science and computerengineering (possibly in conjunction with graduate-level workin another discipline) or who, for other reasons, need a moreflexible structure for their master's studies. The MEng offersmore flexibility by allowing approved outside courses (i.e.,courses not specifically taken in computer science, such asvarious business courses) to count toward the degree; in thismanner, an MEng student can customize their program byincorporating interdisciplinary components, when and if these areapproved by the faculty adviser. Work in the program culminatesin a capstone project highlighting each student's ambitions,interests, and accomplishments in the program. MEng studentstypically move directly into the industry. All students in the MEngprogram must have previously completed (as documented bytheir undergraduate transcript), successfully tested to placeout of, or completed at the start of their program the followingcourses: CSE 501N Introduction to Computer Science andCSE 502N Data Structures and Algorithms (or equivalentcourses offered at other institutions).
Degree Requirements• The MEng requires 30 total units, including 24 units of
graduate-level course work and 6 units of CSE 598 Master'sProject work culminating in a successful project defense.
• 12 of the remaining 24 units must be departmental coursesat the 400 level or above. Of these 12 units, 9 units must beat the 500 level.
• With departmental approval, up to 12 units may be takenfrom outside of the department. Such approval is contingentupon the credits being for suitably technical graduate-level content. To count more than 6 units from outside of
the CSE department, an appropriate justification for theadditional increment must be provided by the adviser andstudent. Departmental approval will be evaluated withincreasing stringency for each additional increment.
• Up to 15 units of 400-level courses can count for graduatecredit.
• None of the 30 units may be taken as independent study(i.e., CSE 400 or CSE 500).
• CSE courses with an "N" designation do not count towardthe master's degree.
• All 30 units required for the degree must be taken for a grade(i.e., not pass/fail), and the grade received in each coursemust be C- or better.
• As per McKelvey School of Engineering guidelines, studentsmust maintain a grade-point average of at least 2.70.
Certificate in Data Mining andMachine LearningThe Certificate in Data Mining and Machine Learning can beawarded in conjunction with any engineering master's degree.To qualify for this certificate, students enrolled in any master's inengineering program will need to meet the requirements listedbelow in addition to the standard requirements for their master'sdegree.
Required CoursesCode Title Units
CSE 417T Introduction to Machine Learning 3
CSE 517A Machine Learning 3
CSE 541T Advanced Algorithms 3
Total Units 9
Foundations CoursesChoose two courses:
Code Title Units
CSE 511A Introduction to Artificial Intelligence 3
CSE 513T Theory of Artificial Intelligence andMachine Learning
3
CSE 514A Data Mining 3
CSE 515T Bayesian Methods in MachineLearning
3
CSE 519T Advanced Machine Learning 3
Math 493 Probability 3
Math 494 Mathematical Statistics 3
Applications CoursesChoose one course:
42
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Code Title Units
CSE 427S Cloud Computing with Big DataApplications
3
CSE 516A Multi-Agent Systems 3
CSE 559A Computer Vision 3
CSE 584A Algorithms for BiosequenceComparison
3
CSE 587A Algorithms for Computational Biology 3
Additional Information• All courses must be taken for a grade.
• Students with previous courses in machine learning mayplace out of CSE 417T. These students will be required tocomplete an additional foundations course for a total of threefoundations courses.
• Students who began the certificate prior to FL16 who havesuccessfully completed CSE 517A, independent of CSE417T, will be required to complete an additional foundationscourse in place of CSE 417T for a total of three foundationscourses. No student will be allowed to take CSE 417T afterthe successful completion of CSE 517A.
• Any student who began the certificate prior to FL16 maychoose to take CSE 441T in place of CSE 541T.
Certificate in CybersecurityEngineeringThe Certificate in Cybersecurity Engineering can be awarded inconjunction with any engineering master's degree. In order toqualify for this certificate, students enrolled in any master's inengineering program will need to meet the requirements listedbelow in addition to the standards requirements for their master'sdegree.
Core CoursesCode Title Units
CSE 433S Introduction to Computer Security 3
CSE 523S Systems Security 3
CSE 571S Network Security 3
CSE 637S Software Security 3
Program ElectivesChoose one:
Code Title Units
CSE 544T Special Topics in Computer ScienceTheory
3
CYBER 567 The Hacker Mindset: Cyber AttackFundamentals
3
CSE 422S Operating Systems Organization 3
CSE 522S Advanced Operating Systems 3
Electrical & SystemsEngineeringThe Department of Electrical & Systems Engineering offersdoctoral-level and master's-level degrees in ElectricalEngineering and in Systems Science & Mathematics. At thedoctoral level, both the PhD and DSc degrees are available;these typically require four to five years of full-time study leadingto an original research contribution. At the master's level, theprograms require 30 credit units of study and have both a courseoption and a thesis option.
Research activity in the department is focused in the followingfour areas:
Applied Physics
• Nanophotonics
• Quantum optics
• Engineered materials
• Electrodynamics
Devices & Circuits
• Computer engineering
• Integrated circuits
• Radiofrequency circuits
• Sensors
Systems Science
• Optimization
• Applied mathematics
• Control
• Financial engineering
Signals & Imaging
• Computational imaging
• Signal processing
• Optical imaging
• Data sciences
Students working in any of these areas will enjoy the benefitsof programs that balance fundamental theoretical concepts withmodern applications. In our department, students find ampleopportunities for close interactions with faculty members workingon cutting-edge research and technology development.
43
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Prospective PhD students with previous degrees in engineeringwho are interested in PhD studies and research in mathematicsor statistics are encouraged to apply for PhD studies inMathematics and Statistics. For more details, visit theGraduate Programs in Mathematics and Statistics (http://wumath.wustl.edu/graduate/) webpage.
Phone: 314-935-5565
Website: https://ese.wustl.edu/academics/graduate-programs/index.html (https://ese.wustl.edu/academics/graduate-programs/)
FacultyChairBruno Sinopoli (https://engineering.wustl.edu/Profiles/Pages/Bruno-Sinopoli.aspx)Das Family Distinguished ProfessorPhD, University of California, BerkleyCyberphysical systems, analysis and design of networkedembedded control systems, with applications to sensor actuatorsnetworks
Endowed ProfessorsShantanu Chakrabartty (https://engineering.wustl.edu/faculty/Shantanu-Chakrabartty.html)Clifford W. Murphy ProfessorPhD, Johns Hopkins UniversityNew frontiers in unconventional analog computing techniquesusing silicon and hybrid substrates, fundamental limits of energyefficiency, sensing and resolution by exploiting computationaland adaptation primitives inherent in the physics of devices
Arye Nehorai (https://engineering.wustl.edu/faculty/Arye-Nehorai.html)Eugene and Martha Lohman Professor of Electrical EngineeringPhD, Stanford UniversityStatistical signal processing, machine learning, imaging,biomedicine
Joseph A. O'Sullivan (https://engineering.wustl.edu/faculty/Joseph-OSullivan.html)Samuel C. Sachs Professor of Electrical EngineeringDean, UMSL/WashU Joint Undergraduate Engineering ProgramPhD, Notre Dame UniversityInformation theory, statistical signal processing, imaging sciencewith applications in medicine and security, and recognition theoryand systems
Lan Yang (https://engineering.wustl.edu/faculty/Lan-Yang.html)Edward H. & Florence G. Skinner Professor of EngineeringPhD, California Institute of TechnologyNano/micro photonics, ultra high-quality optical microcavities,ultra-low-threshold microlasers, nano/micro fabrication, opticalsensing, single nanoparticle detection, photonic molecules,photonic materials
ProfessorsJr-Shin Li (https://engineering.wustl.edu/faculty/Jr-Shin-Li.html)ProfessorPhD, Harvard UniversityMathematical control theory, optimization, quantum control,biomedical applications
Neal Patwari (https://engineering.wustl.edu/faculty/Neal-Patwari.html)ProfessorPhD, University of MichiganIntersection of statistical signal processing and wirelessnetworking for improving wireless sensor networking andradiofrequency sensing
Associate ProfessorsShiNung Ching (https://engineering.wustl.edu/faculty/ShiNung-Ching.html)Das Family Distinguished Career Development AssistantProfessorPhD, University of MichiganSystems and control in neural medicine, nonlinear andconstrained control, physiologic network dynamics, stochasticcontrol
Jung-Tsung Shen (https://engineering.wustl.edu/faculty/Jung-Tsung-Shen.html)Das Family Distinguished Career Development AssistantProfessorPhD, Massachusetts Institute of TechnologyTheoretical and numerical investigations on nanophotonics,optoelectronics, plasmonics, metamaterials
Assistant ProfessorsUlugbek Kamilov (https://engineering.wustl.edu/faculty/Ulugbek-Kamilov.html)PhD, École Polytechnique Fédérale de Lausanne, SwitzerlandComputational imaging, signal processing, biomedical imaging
Mark LawrencePhD, University of BirminghamNanophotonics, nonlinear optics, metasurfaces
Matthew D. Lew (https://engineering.wustl.edu/faculty/Matthew-Lew.html)PhD, Stanford UniversityMicroscopy, biophotonics, computational imaging, nano-optics
44
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Chuan Wang (https://engineering.wustl.edu/faculty/Chuan-Wang.html)PhD, University of Southern CaliforniaFlexible electronics, stretchable electronics, printed electronics,nanomaterials, nanoelectronics, optoelectronics
Yong Wang (https://engineering.wustl.edu/faculty/Yong-Wang.html)PhD, Washington University in St. LouisBiomedical engineering, life science, human physiology,magnetic resonance imaging, electrocardiographic imaging
Shen Zeng (https://engineering.wustl.edu/faculty/Shen-Zeng.html)PhD, University of StuttgartSystems and control theory, data-based analysis and controlof complex dynamical systems, inverse problems, biomedicalapplications
Xuan "Silvia" Zhang (https://engineering.wustl.edu/faculty/Xuan-Silvia-Zhang.html)PhD, Cornell UniversityRobotics, cyber-physical systems, hardware security, ubiquitouscomputing, embedded systems, computer architecture,VLSI, electronic design automation, control optimization, andbiomedical devices and instrumentation
Senior ProfessorsPaul S. Min (https://engineering.wustl.edu/faculty/Paul-Min.html)PhD, University of MichiganRouting and control of telecommunication networks, faulttolerance and reliability, software systems, network management
Robert E. Morley Jr. (https://engineering.wustl.edu/faculty/Robert-Morley.html)DSc, Washington University in St. LouisComputer engineering, lower-power VLSI design, computerarchitecture, signal processing, microprocessors systems design
Hiro Mukai (https://engineering.wustl.edu/faculty/Hiro-Mukai.html)PhD, University of California, BerkeleyTheory and computational methods for optimization, optimalcontrol, systems theory, electric power system operations,differential games
William F. Pickard (https://engineering.wustl.edu/faculty/William-Pickard.html)PhD, Harvard UniversityBiological transport, electrobiology, energy engineering
Daniel L. Rode (https://engineering.wustl.edu/faculty/Daniel-Rode.html)PhD, Case Western Reserve UniversityOptoelectronics and fiber optics, semiconductor materials,light-emitting diodes and lasers, semiconductor processing,electronics
Ervin Y. Rodin (https://engineering.wustl.edu/faculty/Ervin-Rodin.html)PhD, University of Texas at AustinOptimization, differential games, artificial intelligence,mathematical modeling
Heinz Schaettler (https://engineering.wustl.edu/faculty/Heinz-Schaettler.html)PhD, Rutgers UniversityOptimal control, nonlinear systems, mathematical models inbiomedicine
Barbara A. Shrauner (https://engineering.wustl.edu/faculty/Barbara-Shrauner.html)PhD, Harvard University (Radcliffe)Plasma processing, semiconductor transport, symmetries ofnonlinear differential equations
Donald L. Snyder (https://engineering.wustl.edu/faculty/Donald-Snyder.html)PhD, Massachusetts Institute of TechnologyCommunication theory, random process theory, signalprocessing, biomedical engineering, image processing, radar
Barry E. Spielman (https://engineering.wustl.edu/faculty/Barry-Spielman.html)PhD, Syracuse UniversityHigh-frequency/high-speed devices, radiofrequency andmicrowave integrated circuits, computational electromagnetics
Tzyh Jong Tarn (https://engineering.wustl.edu/faculty/TJ-Tarn.html)DSc, Washington UniversityQuantum mechanical systems, bilinear and nonlinear systems,robotics and automation, life science automation
Professors of PracticeDedric Carter (https://engineering.wustl.edu/faculty/Dedric-Carter.html)PhD, Nova Southeastern UniversityMBA, MIT Sloan School of Management
Dennis Mell (https://engineering.wustl.edu/faculty/Dennis-Mell.html)MS, University of Missouri-RollaIndustrial automation, robotics and mechatronics, product designand development with design-for-manufacturability emphasis,prototyping, manufacturing
Ed Richter (https://engineering.wustl.edu/faculty/Ed-Richter.html)MS, Washington UniversitySignal processing applications implemented on a variety ofplatforms, including ASIC, FPGA, DSP, microcontroller anddesktop computers
45
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Jason Trobaugh (https://engineering.wustl.edu/faculty/Jason-Trobaugh.html)DSc, Washington UniversityUltrasound imaging, diffuse optical tomography, image-guidedtherapy, ultrasonic temperature imaging
Teaching ProfessorJames Feher (https://engineering.wustl.edu/faculty/James-Feher.html)PhD, Missouri University of Science and TechnologyElectrical engineering, computer science, mathematics andphysics
Senior LecturersMartha Hasting (https://engineering.wustl.edu/faculty/Martha-Hasting.html)PhD, Saint Louis UniversityMathematics education
Vladimir Kurenok (https://engineering.wustl.edu/faculty/Vladimir-Kurenok.html)PhD, Belarus State University (Minsk, Belarus)Probability and stochastic processes, stochastic ordinary andpartial differential equations, financial mathematics
Jinsong Zhang (https://engineering.wustl.edu/faculty/Jinsong-Zhang.html)PhD, University of MiamiModeling and performance analysis of wireless sensor networks,multi-source information fusion, ambiguous and incompleteinformation processing
LecturersTsitsi Madziwa-Nussinov (https://engineering.wustl.edu/faculty/Tsitsi-Nussinov.html)PhD, University of California, Los Angeles
Dorothy Wang (https://engineering.wustl.edu/faculty/Yunjing-Dorothy-Wang.html)PhD, Virginia TechFiber optic sensing and practical experience in sensorimplementation and field test
Professors EmeritiR. Martin Arthur (https://engineering.wustl.edu/faculty/Martin-Arthur.html)Newton R. and Sarah Louisa Glasgow Wilson Professor ofEngineeringPhD, University of PennsylvaniaUltrasonic imaging, electrocardiography
David L. ElliottPhD, University of California, Los AngelesMathematical theory of systems, nonlinear difference, differentialequations
Degree RequirementsThe Department of Electrical & Systems Engineering offersdoctoral-level and master's-level degrees in ElectricalEngineering and in Systems Science & Mathematics as well asa certificate in Imaging Science. At the doctoral level, both thePhD and DSc degrees are available; these typically require fourto five years of full-time study leading to an original researchcontribution. At the master's level, the programs require aminimum of 30 units of study consistent with the residency andother applicable requirements of Washington University andMcKelvey School of Engineering. The master’s degrees may bepursued with a course-only option or a thesis option.
Students will enjoy the benefits of programs that balancefundamental theoretical concepts with modern applications.In our department, students will find ample opportunities forclose interactions with faculty members working on cutting-edgeresearch and technology development.
Please visit the following pages for more information about ourprograms:
• Doctoral Degrees (p. 51)
• Master of Science in Electrical Engineering (MSEE)(p. 52)
• Master of Science in Systems Science & Mathematics(MSSSM) (p. 53)
• Master of Science in Data Analytics and Statistics (MSDAS)(p. 53)
• Master of Science (MS) in Computer Engineering (p. 54)
• Master of Control Engineering (MCEng) (p. 55)
• Master of Engineering in Robotics (MEngR) (p. 55)
• Certificate in Imaging Science & Engineering (IS&E)(p. 56)
CoursesVisit online course listings to view semester offerings forE35 ESE (https://courses.wustl.edu/CourseInfo.aspx?sch=E&dept=E35&crslvl=5:8).
E35 ESE 500 Independent StudyOpportunities to acquire experience outside the classroomsetting and to work closely with individual members of thefaculty. A final report must be submitted to the department.Prerequisite: Students must have the ESE Research/Independent Study Registration Form (PDF) (https://ese.wustl.edu/research/areas/Documents/Independent%20Study%20Form_1.pdf) approved by the department.Credit variable, maximum 3 units.
E35 ESE 501 Mathematics of Modern Engineering IMatrix algebra: systems of linear equations, vector spaces, linearindependence and orthogonality in vector spaces, eigenvectorsand eigenvalues; vector calculus: gradient, divergence, curl, lineand surface integrals, theorems of Green, Stokes, and Gauss;
46
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Elements of Fourier analysis and its applications to solving someclassical partial differential equations, heat, wave, and Laplaceequation. Prerequisites: ESE 318 and ESE 319 or equivalent orconsent of instructor. This course will not count toward the ESEdoctoral program.Credit 3 units. EN: BME T, TU
E35 ESE 502 Mathematics of Modern Engineering IIFourier series and Fourier integral transforms and theirapplications to solving some partial differential equations, heatand wave equations; complex analysis and its applications tosolving real-valued problems: analytic functions and their role,Laurent series representation, complex-valued line integralsand their evaluation including the residual integration theory,conformal mappings and their applications. Prerequisite: ESE318 and ESE 319 or equivalent, or consent of instructor. Thiscourse will not count toward the ESE doctoral program.Credit 3 units. EN: BME T, TU
E35 ESE 513 Large-Scale Optimization for Data ScienceLarge-scale optimization is an essential component of moderndata science, artificial intelligence, and machine learning.This graduate-level course rigorously introduces optimizationmethods that are suitable for large-scale problems arising inthese areas. Students will learn several algorithms suitable forboth smooth and nonsmooth optimization, including gradientmethods, proximal methods, mirror descent, Nesterov'sacceleration, ADMM, quasi-Newton methods, stochasticoptimization, variance reduction, and distributed optimization.Throughout the class, we will discuss the efficacy of thesemethods in concrete data science problems, under appropriatestatistical models. Students will be required to program in Pythonor MATLAB. Prerequisites: CSE 247, Math 309, Math 3200 orESE 326.Same as E81 CSE 534ACredit 3 units. EN: TU
E35 ESE 515 Nonlinear OptimizationNonlinear optimization problems with and without constraintsand computational methods for solving them. Optimalityconditions, Kuhn-Tucker conditions, Lagrange duality; gradientand Newton's methods; conjugate direction and quasi-Newtonmethods; primal and penalty methods; Lagrange methods. Useof MATLAB optimization techniques in numerical problems.Prerequisites: CSE 131, Math 309 and ESE 318 or permission ofinstructor.Credit 3 units. EN: TU
E35 ESE 516 Optimization in Function SpaceLinear vector spaces, normed linear spaces, Lebesque integrals,the Lp spaces, linear operators, dual space, Hilbert spaces.Projection theorem, Hahn-Banach theorem. Hyperplanes andconvex sets, Gateaux and Frächet differentials, unconstrainedminima, adjoint operators, inverse function theorem. Constrainedminima, equality constraints, Lagrange multipliers, calculus ofvariations, Euler-Lagrange equations, positive cones, inequalityconstraints. Kuhn-Tucker theorem, optimal control theory,Pontryagin's maximum principle, successive approximationmethods, Newton's methods, steepest descent methods, primal-dual methods, penalty function methods, multiplier methods.Prerequisite: Math 4111.Credit 3 units.
E35 ESE 517 Partial Differential EquationsLinear and nonlinear first order equations. Characteristics.Classification of equations. Theory of the potential linear andnonlinear diffusion theory. Linear and nonlinear wave equations.Initial and boundary value problems. Transform methods.Integral equations in boundary value problems. Prerequisites:ESE 318 and 319 or equivalent or consent of instructor.Credit 3 units. EN: BME T, TU
E35 ESE 518 Optimization Methods in ControlThe course is divided in two parts: convex optimization andoptimal control. In the first part we cover applications of LinearMatrix Inequalities and Semi-Definite Programming to controland estimation problems. We also cover Multiparametric LinearProgramming and its application to the Model Predictive Controland Estimation of linear systems. In the second part we covernumerical methods to solve optimal control and estimationproblems. We cover techniques to discretize optimal controlproblems, numerical methods to solve them, and their optimalityconditions. We apply these results to the Model PredictiveControl and Estimation of nonlinear systems. Prerequisites: ESE551, and ESE 415 or equivalent.Credit 3 units. EN: TU
E35 ESE 519 Convex OptimizationConcentrates on recognizing and solving convex optimizationproblems that arise in applications. Convex sets, functions,and optimization problems. Basics of convex analysis.Least-squares, linear and quadratic programs, semidefiniteprogramming, minimax, extremal volume, and other problems.Optimality conditions, duality theory, theorems of alternative,and applications. Interior-point methods. Applications tosignal processing, statistics and machine learning, control andmechanical engineering, digital and analog circuit design, andfinance. Prerequisites: Math 309 and ESE 415.Credit 3 units.
E35 ESE 520 Probability and Stochastic ProcessesReview of probability theory; models for random signals andnoise; calculus of random processes; noise in linear andnonlinear systems; representation of random signals by samplingand orthonormal expansions; Poisson, Gaussian, and Markovprocesses as models for engineering problems. Prerequisite:ESE 326.Credit 3 units. EN: BME T, TU
E35 ESE 523 Information TheoryDiscrete source and channel model, definition of informationrate and channel capacity, coding theorems for sources andchannels, encoding and decoding of data for transmission overnoisy channels. Corequisite: ESE 520.Credit 3 units. EN: BME T, TU
E35 ESE 524 Detection and Estimation TheoryStudy of detection and estimation of signals in noise. Linearalgebra, vector spaces, independence, projections. Dataindependence, factorization theorem and sufficient statistics.Neyman-Pearson and Bayes detection. Least squares,maximum-likelihood and maximum a posteriori estimation ofsignal parameters. Conjugate priors, recursive estimation,Wiener and Kalman filters. Prerequisite: ESE 520.Credit 3 units. EN: BME T, TU
47
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
E35 ESE 526 Network ScienceThis course focuses on fundamental theory, modeling, structure,and analysis methods in network science. The first part of thecourse includes basic network models and their mathematicalprinciples. Topics include a review of graph theory, randomgraph models, scale-free network models and dynamic networks.The second part of the course includes structure and analysismethods in network science. Topics include network robustness,community structure, spreading phenomena and clique topology.Applications of the topics covered by this course include socialnetworks, power grid, internet, communications, protein-proteininteractions, epidemic control, global trade, neuroscience, etc.Prerequisites: ESE 520 (Probability and Stochastic Processes),Math 429 (Linear Algebra) or equivalent.Credit 3 units.
E35 ESE 531 Nano and Micro PhotonicsThis course focuses on fundamental theory, design, andapplications of photonic materials and micro/nano photonicdevices. It includes review and discussion of light-matterinteractions in nano and micro scales, propagation of light inwaveguides, nonlinear optical effect and optical properties ofnano/micro structures, the device principles of waveguides,filters, photodetectors, modulators and lasers. Prerequisite: ESE330.Credit 3 units. EN: BME T, TU
E35 ESE 532 Introduction to Nano-Photonic DevicesIntroduction to photon transport in nano-photonic devices.This course focuses on the following topics: light and photons,statistical properties of photon sources, temporal and spatialcorrelations, light-matter interactions, optical nonlinearity, atomsand quantum dots, single- and two-photon devices, opticaldevices, and applications of nano-photonic devices in quantumand classical computing and communication. Prerequisites: ESE330 and Physics 217, or permission of instructor.Credit 3 units. EN: BME T, TU
E35 ESE 536 Introduction to Quantum OpticsThis course covers the following topics: quantum mechanics forquantum optics, radiative transitions in atoms, lasers, photonstatistics (photon counting, sub-/super-Poissionian photonstatistics, bunching, anti-bunching, theory of photodetection, shotnoise), entanglement, squeezed light, atom-photon interactions,cold atoms, abd atoms in cavities. If time permits, the followingtopics will be selectively covered: quantum computing, quantumcryptography, and teleportation. Prerequisites: ESE 330 andPhysics 217 or Physics 421Credit 3 units. EN: BME T, TU
E35 ESE 538 Advanced Electromagnetic EngineeringThe course builds on undergraduate electromagnetics tosystematically develop advanced concepts in electromagnetictheory for engineering applications. The following topics arecovered: Maxwell's equations; fields and waves in materials;electromagnetic potentials and topics for circuits and systems;transmission-line essentials for digital electronics and forcommunications; guided wave principles for electronics andoptoelectronics; principles of radiation and antennas; andnumerical methods for computational electromagnetics.Credit 3 units.
E35 ESE 543 Control Systems Design by State SpaceMethodsAdvanced design and analysis of control systems by state-space methods: classical control review, Laplace transforms,review of linear algebra (vector space, change of basis, diagonaland Jordan forms), linear dynamic systems (modes, stability,controllability, state feedback, observability, observers, canonicalforms, output feedback, separation principle and decoupling),nonlinear dynamic systems (stability, Lyapunov methods).Frequency domain analysis of multivariable control systems.State space control system design methods: state feedback,observer feedback, pole placement, linear optimal control.Design exercises with CAD (computer-aided design) packagesfor engineering problems. Prerequisite: ESE 351 and ESE 441,or permission of instructor.Credit 3 units. EN: BME T, TU
E35 ESE 544 Optimization and Optimal ControlConstrained and unconstrained optimization theory. Continuoustime as well as discrete-time optimal control theory. Time-optimalcontrol, bang-bang controls and the structure of the reachableset for linear problems. Dynamic programming, the Pontryaginmaximum principle, the Hamiltonian-Jacobi-Bellman equationand the Riccati partial differential equation. Existence of classicaland viscosity solutions. Application to time optimal control,regulator problems, calculus of variations, optimal filtering andspecific problems of engineering interest. Prerequisites: ESE551, ESE 552.Credit 3 units. EN: BME T, TU
E35 ESE 545 Stochastic ControlIntroduction to the theory of stochastic differential equationsbased on Wiener processes and Poisson counters, and anintroduction to random fields. The formulation and solution ofproblems in nonlinear estimation theory. The Kalman-Bucyfilter and nonlinear analogues. Identification theory. Adaptivesystems. Applications. Prerequisites: ESE 520 and ESE 551.Credit 3 units. EN: BME T, TU
E35 ESE 546 Dynamics & Control in Neuroscience & BrainMedicineThis course provides an introduction to systems engineeringapproaches to modeling, analysis and control of neuronaldynamics at multiple scales. A central motivation is themanipulation of neuronal activity for both scientific andmedical applications using emerging neurotechnology andpharmacology. Emphasis is placed on dynamical systemsand control theory, including bifurcation and stability analysisof single neuron models and population mean-field models.Synchronization properties of neuronal networks are covered,and methods for control of neuronal activity in both oscillatoryand non-oscillatory dynamical regimes are developed. Statisticalmodels for neuronal activity are also discussed. An overviewof signal processing and data analysis methods for neuronalrecording modalities is provided toward the development ofclosed-loop neuronal control paradigms. The final evaluationis based on a project or research survey. Prerequisites: ESE553 (or equivalent); ESE 520 (or equivalent); ESE 351 (orequivalent).Credit 3 units. EN: BME T, TU
48
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
E35 ESE 547 Robust and Adaptive ControlGraduate-level control system design methods for multi-input multi-output systems. Linear optimal-based methods inrobust control, nonlinear model reference adaptive control.These design methods are currently used in most industrycontrol system design problems. These methods are designed,analyzed and simulated using MATLAB. Linear control theory(review), robustness theory (Mu Analysis), optimal control andthe robust servomechanism, H-infinity optimal control, robustoutput feedback controls, Kalman filter theory and design,linear quadratic gaussian with loop transfer recovery, the LoopTransfer Recovery method of Lavretsky, Mu synthesis, Lyapunovtheory (review), LaSalle extensions, Barbalat's Lemma,model reference adaptive control, artificial neural networks,online parameter estimation, convergence and persistence ofexcitation. Prerequisite: ESE 543 or ESE 551 or equivalent.Credit 3 units. EN: BME T, TU
E35 ESE 551 Linear Dynamic Systems IInput-output and state-space description of linear dynamicsystems. Solution of the state equations and the transitionmatrix. Controllability, observability, realizations, pole-assignment, observers and decoupling of linear dynamicsystems. Prerequisite: ESE 351.Credit 3 units. EN: BME T, TU
E35 ESE 552 Linear Dynamic Systems IILeast squares optimization problems. Riccati equation, terminalregulator and steady-state regulator. Introduction to filteringand stochastic control. Advanced theory of linear dynamicsystems. Geometric approach to the structural synthesis of linearmultivariable control systems. Disturbance decoupling, systeminvertibility and decoupling, extended decoupling and the internalmodel principle. Prerequisite: ESE 551.Credit 3 units. EN: TU
E35 ESE 553 Nonlinear Dynamic SystemsState space and functional analysis approaches to nonlinearsystems. Questions of existence, uniqueness and stability;Lyapunov and frequency-domain criteria; w-limits and invariance,center manifold theory and applications to stability, steady-stateresponse and singular perturbations. Poincare-Bendixson theory,the van der Pol oscillator, and the Hopf Bifurcation theorem.Prerequisite: ESE 551.Credit 3 units. EN: TU
E35 ESE 554 Advanced Nonlinear Dynamic SystemsDifferentiable manifolds, vector fields, distributions on amanifold, Frobenius' theorem, Lie algebras. Controllability,observability of nonlinear systems, examined from the viewpointof differential geometry. Transformation to normal forms. Exactlinearization via feedback. Zero dynamics and related properties.Noninteracting control and disturbance decoupling. Controlledinvariant distributions. Noninteracting control with internalstability. Prerequisites: ESE 553 and ESE 551.Credit 3 units.
E35 ESE 557 Hybrid Dynamic SystemsTheory and analysis of hybrid dynamic systems, which is theclass of systems whose state is composed by continuous-valued and discrete-valued variables. Discrete-event systemsmodels and language descriptions. Models for hybrid systems.
Conditions for existence and uniqueness. Stability andverification of hybrid systems. Optimal control of hybridsystems. Applications to cyber-physical systems and robotics.Prerequisite: ESE 551.Credit 3 units. EN: BME T, TU
E35 ESE 560 Computer Systems Architecture IAn exploration of the central issues in computer architecture:instruction set design, addressing and register set design, controlunit design, microprogramming, memory hierarchies (cache andmain memories, mass storage, virtual memory), pipelining, andbus organization. The course emphasizes understanding theperformance implications of design choices, using architecturemodeling and evaluation using VHDL and/or instruction setsimulation. Prerequisites: CSE 361S and CSE 260M.Same as E81 CSE 560MCredit 3 units. EN: BME T, TU
E35 ESE 562 Analog Integrated CircuitsThis course focuses on fundamental and advanced topics inanalog and mixed-signal VLSI techniques. The first part of thecourse covers graduate-level materials in the area of analogcircuit synthesis and analysis. The second part of the coursecovers applications of the fundamental techniques for designinganalog signal processors and data converters. Several practicalaspects of mixed-signal design, simulation and testing arecovered in this course. This is a project-oriented course, andit is expected that the students apply the concepts learnedin the course to design, simulate and explore different circuittopologies. Prerequisites: CSE 260 and ESE 232.Credit 3 units.
E35 ESE 566A Modern System-on-Chip DesignThe System-on-Chip (SoC) technology is at the core ofmost electronic systems: smartphones, wearable devices,autonomous robots and cars, and aerospace and medicalelectronics. In these SoCs, billions of transistors canbe integrated on a single silicon chip containing variouscomponents, such as microprocessors, DSPs, hardwareaccelerators, memories, and I/O interfaces. Topics include SoCarchitectures, design tools, and methods as well as system-level tradeoffs between performance, power consumption,energy efficiency, reliability, and programmability. Studentswill gain an insight into the early stages of the SoC designprocess by performing the tasks of developing functionalspecifications, applying partitions and map functions to hardwareand/or software, and then evaluating and validating systemperformance. Assignments include hands-on design projects.Open to both graduate and senior undergraduate students.Prerequisite: ESE 461.Credit 3 units. EN: BME T, TU
E35 ESE 567 Computer Systems AnalysisA comprehensive course on performance analysis techniques.The topics include common mistakes, selection of techniquesand metrics, summarizing measured data, comparing systemsusing random data, simple linear regression models, otherregression models, experimental designs, 2**k experimentaldesigns, factorial designs with replication, fractional factorialdesigns, one factor experiments, two factor full factorial designw/o replications, two factor full factorial designs with replications,general full factorial designs, introduction to queueing theory,analysis of single queues, queueing networks, operational
49
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
laws, mean-value analysis, time series analysis, heavy taileddistributions, self-similar processes, long-range dependence,random number generation, analysis of simulation results, andart of data presentation. Prerequisites: CSE 260M.Same as E81 CSE 567MCredit 3 units. EN: BME T, TU
E35 ESE 570 Coding TheoryIntroduction to the algebra of finite fields. Linear block codes,cyclic codes, BCH and related codes for error detection andcorrection. Encoder and decoder circuits and algorithms.Spectral descriptions of codes and decoding algorithms. Codeperformances.Credit 3 units. EN: TU
E35 ESE 571 Transmission Systems and MultiplexingTransmission and multiplexing systems are essential to providingefficient point-to-point communication over distance. This courseintroduces the principles underlying modern analog and digitaltransmission and multiplexing systems and covers a variety ofsystem examples.Credit 3 units. EN: TU
E35 ESE 572 Signaling and Control in CommunicationNetworksThe operation of modern communications networks is highlydependent on sophisticated control mechanisms that directthe flow of information through the network and oversee theallocation of resources to meet the communication demandsof end users. This course covers the structure and operationof modern signaling systems and addresses the major designtrade-offs that center on the competing demands of performanceand service flexibility. Specific topics covered include protocolsand algorithms for connection establishment and transformation,routing algorithms, overload and failure recovery and networkingdimensioning. Case studies provide concrete examples andreveal the key design issues. Prerequisites: graduate standingand permission of instructor.Credit 3 units. EN: BME T, TU
E35 ESE 575 Fiber-Optic CommunicationsIntroduction to optical communications via glass-fiber media.Pulse-code modulation and digital transmission methods, codinglaws, receivers, bit-error rates. Types and properties of opticalfibers; attenuation, dispersion, modes, numerical aperture.Light-emitting diodes and semiconductor laser sources; devicestructure, speed, brightness, modes, electrical properties, opticaland spectral characteristics. Prerequisites: ESE 330, ESE 336.Credit 3 units. EN: BME T, TU
E35 ESE 582 Fundamentals and Applications of ModernOptical ImagingAnalysis, design, and application of modern optical imagingsystems with emphasis on biological imaging. The first partof the course will focus on the physical principles underlyingthe operation of imaging systems and their mathematicalmodels. Topics include ray optics (speed of light, refractiveindex, laws of reflection and refraction, plane surfaces, mirrors,lenses, aberrations), wave optics (amplitude and intensity,frequency and wavelength, superposition and interference,interferometry), Fourier optics (space-invariant linear systems,Huygens-Fresnel principle, angular spectrum, Fresnel diffraction,Fraunhofer diffraction, frequency analysis of imaging systems),
and light-matter interaction (absorption, scattering, dispersion,fluorescence). The second part of the course will comparemodern quantitative imaging technologies, including but notlimited to digital holography, computational imaging, and super-resolution microscopy. Students will evaluate and critique recentoptical imaging literature. Prerequisites: ESE 318 and ESE 319(or their equivalents); ESE 330 or PHY 421 (or equivalent).Credit 3 units. EN: BME T, TU
E35 ESE 584 Statistical Signal Processing for Sensor ArraysMethods for signal processing and statistical inference for dataacquired by an array of sensors, such as those found in radar,sonar and wireless communications systems. Multivariatestatistical theory with emphasis on the complex multivariatenormal distribution. Signal estimation and detection in noisewith known statistics, signal estimation and detection in noisewith unknown statistics, direction finding, spatial spectrumestimation, beam forming, parametric maximum-likelihoodtechniques. Subspace techniques, including MUSIC andESPRIT. Performance analysis of various algorithms. Advancedtopics may include structured covariance estimation, wide-band array processing, array calibration, array processing withpolarization diversity, and space-time adaptive processing(STAP). Prerequisites: ESE 520, ESE 524, linear algebra,computer programming.Credit 3 units. EN: TU
E35 ESE 585A Sparse Modeling for Imaging and VisionSparse modeling is at the heart of modern imaging, vision, andmachine learning. It is a fascinating new area of research thatseeks to develop highly effective data models. The core idea insparse modeling theory is a novel redundant transform, wherethe number of transform coefficients is larger compared to theoriginal data dimension. Together with redundancy comes anopportunity of seeking the sparsest possible representation,or the one with the fewest non-zeros. This core idea leadsto a series of beautiful theoretical and practical results withmany applications such as regression, prediction, restoration,extrapolation, compression, detection, and recognition. In thiscourse, we will explore sparse modeling by covering theoreticalas well as algorithmic aspects with applications in computationalimaging and computer vision. Prerequisites: ESE 318, Math 233,Math 309, and Math 429, or equivalents. Coding with MATLABor Python.Credit 3 units. EN: BME T, TU
E35 ESE 588 Quantitative Image ProcessingIntroduction to modeling, processing, manipulation and display ofimages. Application of two-dimensional linear systems to imageprocessing. Two-dimensional sampling and transform methods.The eye and perception. Image restoration and reconstruction.Multiresolution processing, noise reduction and compression.Boundary detection and image segmentation. Case studiesin image processing (examples: computer tomography andultrasonic imaging). Prerequisites: ESE 326, ESE 482.Credit 3 units. EN: BME T, TU
E35 ESE 589 Biological Imaging TechnologyThis class develops a fundamental understanding of the physicsand mathematical methods that underlie biological imaging andcritically examine case studies of seminal biological imagingtechnology literature. The physics section examines howelectromagnetic and acoustic waves interact with tissues andcells, how waves can be used to image the biological structure
50
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
and function, image formation methods, and diffraction limitedimaging. The math section examines image decompositionusing basis functions (e.g., Fourier transforms), synthesisof measurement data, image analysis for feature extraction,reduction of multidimensional imaging datasets, multivariateregression, and statistical image analysis. Original literatureon electron, confocal and two photon microscopy, ultrasound,computed tomography, functional and structural magneticresonance imaging and other emerging imaging technology arecritiqued.Credit 3 units. EN: BME T, TU
E35 ESE 590 Electrical & Systems Engineering GraduateSeminarThis satisfactory/unsatisfactory course is required for theMasters, DSc and PhD degrees in Electrical and SystemsEngineering. A satisfactory grade is required for each semesterof enrollment and is received by attendance at regularlyscheduled ESE seminars. Masters students must attend at least3 seminars per semester, except for first year Master's studentswho must attend 4. DSc and PhD students must attend at least5 seminars per semester, except for first year PhD students whomust attend 6. Part-time students are exempt except during theiryear of residency. Any student under continuing status is alsoexempt.
E35 ESE 591 Biomedical Optics I: PrinciplesThis course covers the principles of optical photon transportin biological tissue. This course covers the principles andapplications of optical photon transport in biological tissue.Topics include a brief introduction to biomedical optics, single-scatterer theories, Monte Carlo modeling of photon transport,convolution for broad-beam responses, radiative transferequation, diffusion theory and applications, sensing of opticalproperties and spectroscopy, and photoacoustic imagingprinciples and applications. Prerequisite: Differential equationsSame as E62 BME 591Credit 3 units. EN: TU
E35 ESE 5932 Computational Methods for Imaging ScienceInverse problems are ubiquitous in science and engineering, andthey form the basis for modern imaging methods. This coursewill introduce students to the mathematical formulation of inverseproblems and modern computational methods employed tosolve them. Specific topics covered will include regularizationtheory, compressive sampling, variational calculus, and a surveyof relevant numerical optimization methods. The applicationof these methods to tomographic imaging problems will beaddressed in detail. Prerequisite: ESE 5931 or permission ofinstructor.Credit 3 units. EN: TU
E35 ESE 5933 Theoretical Imaging ScienceImaging science encompasses the design and optimizationof imaging systems to quantitatively measure information ofinterest. Imaging systems are important in many scientific andmedical applications and may be designed for one specificapplication or for a range of applications. Performance isquantified for any given task through an understanding of thestatistical model for the imaging data, the data processingalgorithm used, and a measure of accuracy or error. Optimalprocessing is based on statistical decision theory and estimationtheory; performance bounds include the receiver operatingcharacteristic and Cramer-Rao bounds. Bayesian methods
often lead to ideal observers. Extensions of methods from finite-dimensional spaces to function space are fundamental for manyimaging applications. A variety of methods to assess imagequality and resulting imaging system optimization are covered.Prerequisite: permission of instructor.Credit 3 units. EN: TU
E35 ESE 596 Seminar in Imaging Science and EngineeringThis seminar course consists of a series of tutorial lectures onImaging Science and Engineering with emphasis on applicationsof imaging technology. Students are exposed to a variety ofimaging applications that vary depending on the semester, butmay include multispectral remote sensing, astronomical imaging,microscopic imaging, ultrasound imaging and tomographicimaging. Guest lecturers come from several parts of theuniversity. This course is required of all students in the ImagingScience and Engineering program; the only requirement isattendance. This course is graded pass/fail. Prerequisite:admission to Imaging Science and Engineering program. Sameas CSE 596 (when offered) and BME 506.Credit 1 unit.
E35 ESE 599 Master's ResearchPrerequisite: Students must have the ESE Research/Independent Study Registration Form (PDF) (https://ese.wustl.edu/research/areas/Documents/Independent%20Study%20Form_1.pdf) approved by the department.Credit variable, maximum 3 units.
E35 ESE 600 Doctoral ResearchCredit variable, maximum 9 units.
E35 ESE 601 Research Rotation for ESE Doctoral StudentsDoctoral students in Electrical and Systems Engineering arerequired to complete two rotations during their first year andmay complete three rotations, with research mentors acceptableto the separtment. The rotations must be mutually agreeableto both the student and the faculty member. The grade will beassigned based on a written report from one of the rotations. Therotations allow students to sample different research projectsand laboratory working environments and to enable the matchingof doctoral students with the research mentors with whom theywill carry out PhD dissertation research.Credit 3 units.
E35 ESE 883 Master's Continuing Student Status
Doctoral DegreesPhD or DSc in ElectricalEngineering or Systems Science& MathematicsStudents pursuing the Doctor of Philosophy (PhD) or Doctor ofScience (DSc) degrees in Electrical Engineering or SystemsScience & Mathematics must complete a minimum of 72 creditunits of post-baccalaureate study consistent with the residencyand other applicable requirements of Washington Universityin St. Louis and the Graduate School. These 72 units must
51
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
consist of at least 36 units of course work and at least 24 unitsof research, and they may include work done to satisfy therequirements of a master's degree in a related discipline. Up to24 units for the PhD and 30 units for the DSc may be transferredto Washington University in St. Louis from another institution.
Below is a list of the steps needed to complete the requirementsfor a doctoral degree in the Department of Electrical & SystemsEngineering. Each candidate for the degree must do thefollowing:
• Complete at least 36 units of post-baccalaureate coursework.
• Complete the qualifying process (which includes a qualifyingexamination) and match with a research mentor before thesecond academic year of the program (PhD) or before theend of the third year of study (DSc).
• Pass an oral preliminary research examination, to becompleted within two academic years of completing thequalifying process.
• Satisfy the general residency requirement for the GraduateSchool (PhD) or the McKelvey School of Engineering (DSc).
• Satisfy the general teaching requirement as specified by thedepartment. (There is no teaching requirement for the DSc.)
• Write a doctoral dissertation that describes the results oforiginal and creative research in a specialization withinelectrical engineering or systems science and mathematics.
• Pass a final oral examination in defense of the dissertationresearch.
• Take ESE 590 Electrical & Systems Engineering GraduateSeminar each semester (PhD) or during each semester offull-time study (DSc).
Master of Science in ElectricalEngineering (MSEE)Either a thesis option or a course option may be selected. Thespecial requirements for these options are as follows:
Course OptionThe Master of Science in Electrical Engineering is an academicmaster's degree designed mainly for both full-time and part-timestudents interested in proceeding to the departmental full-timedoctoral program and/or an industrial career. Under the courseoption, students may not take ESE 599 Master's Research. Withfaculty permission, they may take up to 3 units of graduate-levelindependent study.
Thesis OptionThis option is intended for those pursuing full-time study andengaged in research projects. Candidates for this degree mustcomplete a minimum of 24 units of course instruction and 6 unitsof thesis research (ESE 599); 3 of these units of thesis researchmay be applied toward the 15 core electrical engineering units
required for the MSEE program. Any of these 6 units of thesisresearch may be applied as electives for the MSEE, MSSSM,MSDAS, MCEng and MEngR programs. The student must writea master's thesis and defend it in an oral examination.
Degree RequirementsStudents pursuing the degree Master of Science in ElectricalEngineering (MSEE) must complete a minimum of 30 unitsof study consistent with the residency and other applicablerequirements of Washington University and the McKelveySchool of Engineering and subject to the following departmentalrequirements:
• A minimum of 15 of these units must be selected from thefollowing list of core electrical engineering subjects taught bythe Department of Electrical & Systems Engineering (ESE):
Code Title Units
ESE 415 Optimization 3
ESE 513 Large-Scale Optimization for DataScience
3
ESE 516 Optimization in Function Space 3
ESE 519 Convex Optimization 3
ESE 520-529 Applied probability category
ESE 530-539 Applied physics and electronicscategory
ESE 540-549 Control category
ESE 550-559 Systems category
ESE 560-569 Computer engineering category
ESE 570-579 Communications category
ESE 580-589 Signal and image processing category
ESE 599 Master's Research (thesis option only) max.3
• The remaining courses in the program may be selectedfrom senior or graduate-level courses in ESE or elsewherein the university that are approved by the department.Please consult the ESE departmental website (https://ese.wustl.edu/graduate/degreeprograms/Pages/ms-electrical-engineering.aspx) for a list of allowable electives.
• At least 15 units of the 30 total units applied toward theMSEE degree must be in ESE courses which, if cross-listed,have ESE as the home department.
• A maximum of 6 credits may be transferred from anotherinstitution and applied toward the master's degree.Regardless of the subject or level, all transfer coursesare treated as electives and do not count toward the corerequirements for the degree.
• ESE 590 Electrical & Systems Engineering GraduateSeminar must be taken by full-time graduate students eachsemester. This course is taken with the unsatisfactory/satisfactory grade option.
52
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
• The degree program must be consistent with the residencyand other applicable requirements of Washington Universityand the McKelvey School of Engineering.
• Students must obtain a cumulative grade-point average ofat least 3.0 out of a possible 4.0 overall for courses appliedtoward the degree. Courses that apply for the degree mustbe taken with the credit/letter grade option.
Master of Science in SystemsScience & Mathematics(MSSSM)Either a thesis option or a course option may be selected. Thespecial requirements for these options are as follows:
Course OptionThe Master of Science in Systems Science & Mathematics(MSSSM) is an academic master's degree that requires thecompletion of 30 credit units. It is designed for both full-time andpart-time students interested in proceeding to the departmentalfull-time doctoral program and/or an industrial career. Underthe course option, students may not take ESE 599 Master'sResearch. With faculty permission, they may take up to 3 unitsof graduate-level independent study.
Thesis OptionThis option is intended for those pursuing full-time study andengaged in research projects. Candidates for this degree mustcomplete a minimum of 24 credit units of course instruction and6 credit units of thesis research (ESE 599); 3 of these units ofthesis research may be applied toward the 15 core electricalengineering units required for the MSEE program. Any of these6 units of thesis research may be applied as electives for theMSEE, MSSSM, MSDAS, MCEng and MEngR programs. Thestudent must write a master's thesis and defend it in an oralexamination.
Degree Requirements• Required courses (15 units) for the MS degree include the
following:
Code Title Units
ESE 551 Linear Dynamic Systems I 3
ESE 553 Nonlinear Dynamic Systems 3
ESE 520 Probability and Stochastic Processes 3
ESE 415 Optimization 1 3
and one course chosen from the following:
ESE 524 Detection and Estimation Theory 3
or ESE 544 Optimization and Optimal Control
or ESE 545 Stochastic Control
or ESE 557 Hybrid Dynamic Systems
Total Units 15
1ESE 516 may be substituted for ESE 415.
• The remaining courses in the program may be selected fromsenior or graduate-level courses in ESE or elsewhere inthe university that are approved by the department. Pleaseconsult the ESE departmental website (https://ese.wustl.edu/graduate/degreeprograms/Pages/ms-systems-science-mathematics.aspx) for a list of allowable electives.
• A maximum of 6 units may be transferred from anotherinstitution and applied toward the master's degree.
• ESE 590 Electrical & Systems Engineering GraduateSeminar must be taken by full-time graduate students eachsemester. This course is taken with an unsatisfactory/satisfactory grade option.
• The degree program must be consistent with the residencyand other applicable requirements of Washington Universityand the McKelvey School of Engineering.
• Students must obtain a cumulative grade-point average ofat least 3.0 out of a possible 4.0 overall for courses appliedtoward the degree. Courses that apply toward the degreemust be taken with the credit/letter grade option.
Master of Science in DataAnalytics and Statistics(MSDAS)Either a thesis option or a course option may be selected. Thespecial requirements for these options are as follows:
Course OptionThe Master of Science in Data Analytics and Statistics is anacademic master's degree designed mainly for both full-time andpart-time students interested in proceeding to the departmentalfull-time doctoral program and/or an industrial career. Underthe course option, students may not take ESE 599 Master'sResearch. With faculty permission, they may take up to 3 unitsof graduate-level independent study.
Thesis OptionThis option is intended for those pursuing full-time study andengaged in research projects. Candidates for this degree mustcomplete a minimum of 24 units of course instruction and 6 unitsof thesis research (ESE 599); 3 of these units of thesis researchmay be applied toward the 15 core electrical engineering units
53
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
required for the MSEE program. Any of these 6 units of thesisresearch may be applied as electives for the MSEE, MSSSM,MSDAS, MCEng and MEngR programs. The student must writea master's thesis and defend it in an oral examination.
Degree RequirementsThe MS in Data Analytics and Statistics (MSDAS) degreerequires 30 units.
• Required courses (15 units) for the MS degree include thefollowing:
Code Title Units
ESE 520 Probability and Stochastic Processes 3
ESE 524 Detection and Estimation Theory 3
ESE 415 Optimization 3
or ESE 516 Optimization in Function Space
or ESE 518 Optimization Methods in Control
CSE 417T Introduction to Machine Learning 3
or CSE 514A Data Mining
or CSE 530S Database Management Systems
Total Units 12
• The remaining courses in the program may be selected fromsenior or graduate-level courses in ESE or elsewhere inthe university that are approved by the department. Pleaseconsult the ESE departmental website (https://ese.wustl.edu/graduate/degreeprograms/Pages/ms-data-analytics.aspx) fora list of allowable electives.
• ESE 590 Electrical & Systems Engineering GraduateSeminar must be taken by full-time graduate students eachsemester. This course is taken with the unsatisfactory/satisfactory grade option.
• A maximum of 6 units may be transferred from anotherinstitution and applied toward the master's degree.
• The degree program must be consistent with the residencyand other applicable requirements of Washington Universityand the McKelvey School of Engineering.
• Students must obtain a cumulative grade-point average ofat least 3.0 out of a possible 4.0 overall for courses appliedtoward the degree. Courses that apply toward the degreemust be taken with the credit/letter grade option.
Master of Science (MS) inComputer EngineeringThe Master of Science (MS) in Computer Engineering is bestsuited for students who are looking to focus more on computerengineering (hardware) aspects. Like the MS in ComputerScience, the MS in Computer Engineering program can bea pure course option program, or it can incorporate either aproject or a thesis. If appropriate research experiences areincluded in the degree option, this can also lead toward future
doctoral studies. All students in the MS in Computer Engineeringprogram must have previously completed (as documented bytheir undergraduate transcript), successfully test to place out of,or complete at the start of their program the following courses:CSE 501N Introduction to Computer Science and CSE 505NIntroduction to Digital Logic and Computer Design (or equivalentcourses offered at other institutions).
The Master of Science in Computer Engineering degree isjointly administered by the Department of Computer Scienceand Engineering and the Department of Electrical and SystemsEngineering
Course OptionThis option requires 30 units of graduate credit. Students mustalso follow the general degree requirements listed below.
Thesis/Project OptionThe thesis and project options require 24 units of graduate creditin addition to 6 units of either thesis or project courses (CSE/ESE 599 or CSE 598, respectively). Students pursuing theproject option may opt to take 27 units of graduate courses andonly 3 units of CSE 598, with adviser approval. Students mustalso follow the general degree requirements listed below.
General Degree Requirements• 18 of the 30 units must be from the designated graduate-
level Computer Engineering courses. Please visitour MS in Computer Engineering website (https://cse.wustl.edu/graduate/programs/Pages/ms-in-computer-engineering.aspx) for a comprehensive list.
• In addition to the non-CSE courses on the list of designatedgraduate-level Computer Engineering courses, upto 12 additional units may be taken from outside thedepartment. Such approval will be contingent on the creditsbeing for suitably technical graduate-level content. To countmore than 6 units from outside the CSE department, anappropriate justification for the additional increment mustbe provided by the adviser and student. Departmentalapproval will be evaluated with increasing stringency foreach additional increment.
• Up to 12 units of 400-level courses can count for graduatecredit.
• None of of the 30 units may be taken as independent study(i.e., CSE 400 or CSE 500).
• Courses with an "N" designation do not count toward themaster's degree.
• All courses must be taken for a grade of C- or better.
• As per School of Engineering guidelines, students mustmaintain a grade-point average of at least 2.70.
54
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Master of Control Engineering(MCEng)Either the thesis option or the course option may be selected.The special requirements for these options are as follows:
Course OptionThe Master of Control Engineering is an academic master'sdegree designed mainly for both full-time and part-time studentsinterested in proceeding to the departmental full-time doctoralprogram and/or an industrial career. Under the course option,students may not take ESE 599 Master's Research. Withfaculty permission, they may take up to 3 units of graduate-levelindependent study.
Thesis OptionThis option is intended for those pursuing full-time study andengaged in research projects. Candidates for this degree mustcomplete a minimum of 24 credit units of course instruction and6 credit units of thesis research (ESE 599); 3 of these units ofthesis research may be applied toward the 15 core electricalengineering units required for the MSEE program. Any of the 6credit units of thesis research may be applied as electives forthe MSEE, MSSSM, MSDAS, MCEng and MEngR programs.The student must write a master's thesis and defend it in an oralexamination.
Degree RequirementsThe Master of Control Engineering (MCEng) degree is a terminalprofessional degree designed for students interested in anindustrial career.
• Required courses (15 units) for the MCEng degree includethe following:
Code Title Units
ESE 441 Control Systems 3
ESE 543 Control Systems Design by StateSpace Methods
3
ESE 520 Probability and Stochastic Processes 3
and at least two of the following six courses:
ESE 415 Optimization
ESE 425 Random Processes and KalmanFiltering
ESE 547 Robust and Adaptive Control
ESE 551 Linear Dynamic Systems I
ESE 552 Linear Dynamic Systems II
ESE 553 Nonlinear Dynamic Systems
• The remaining courses in the program may be selectedfrom senior or graduate-level courses in ESE or elsewherein the university that are approved by the department.Please consult the ESE departmental website (https://ese.wustl.edu/graduate/degreeprograms/Pages/master-control-engineering.aspx) for a list of allowable electives.
• A maximum of 6 units may be transferred from anotherschool as electives, provided that the courses were notneeded for the student's bachelor's degree.
• ESE 590 Electrical & Systems Engineering GraduateSeminar must be taken by full-time graduate students eachsemester. This course can be taken with an unsatisfactory/satisfactory grade option.
• The degree program must be consistent with the residencyand other applicable requirements of Washington Universityand the McKelvey School of Engineering.
• Students must obtain a cumulative grade-point average of atleast a 3.0 out of a possible 4.0 overall for courses appliedtoward the degree. Courses that apply toward the degreemust be taken with the credit/letter grade option.
Master of Engineering inRobotics (MEngR)Either a thesis option or a course option may be selected. Thespecial requirements for these options are as follows:
Course OptionThe Master of Engineering in Robotics (MEngR) is an academicmaster's degree designed mainly for both full-time and part-timestudents interested in proceeding to the departmental full-timedoctoral program and/or an industrial career. Under the courseoption, students may not take ESE 599 Master's Research. Withfaculty permission, they may take up to 3 units of graduate-levelindependent study.
Thesis OptionThis option is intended for those pursuing full-time study andengaged in research projects. Candidates for this degree mustcomplete a minimum of 24 credit units of course instruction and6 credit units of thesis research (ESE 599); 3 of these units ofthesis research may be applied toward the 15 core electricalengineering units required for the MSEE program. Any of these6 units of thesis research may be applied as electives for theMSEE, MSSSM, MSDAS, MCEng and MEngR programs. Thestudent must write a master's thesis and defend it in an oralexamination.
55
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Degree RequirementsThe principal goal of the MEngR program is to prepareindividuals for professional practice in robotics engineering byleveraging the technical skills developed in an undergraduateengineering or physical science program. It is designed to becompleted in 1.5 years, but it can be completed over a longertime period on a part-time basis.
• Required courses (the 12 units listed below as well as 9more units from three groups) for the MEngR degree includethe following:
Code Title Units
ESE 446 Robotics: Dynamics and Control(Spring)
3
ESE 447 Robotics Laboratory (Fall, Spring) 3
CSE 511A Introduction to Artificial Intelligence 3
or CSE 417T Introduction to Machine Learning
ESE 551 Linear Dynamic Systems I 3
ESE 590 Electrical & Systems EngineeringGraduate Seminar (must be takeneach semester)
0
Total Units 12
• At least one course must be selected from each of thefollowing three groups for a total of 9 units:
Optimization and Simulation Group
Code Title Units
ESE 403 Operations Research (Fall) 3
ESE 407 Analysis and Simulation of DiscreteEvent Systems (Spring)
3
ESE 415 Optimization (Spring) 3
Control Engineering Group
Code Title Units
ESE 441 Control Systems (Fall) 3
or MEMS 4301 Modeling, Simulation and Control
ESE 444 Sensors and Actuators (Fall) 3
ESE 425 Random Processes and KalmanFiltering (Fall)
3
ESE 543 Control Systems Design by StateSpace Methods (Fall)
3
ESE 552 Linear Dynamic Systems II (Spring) 3
ESE 553 Nonlinear Dynamic Systems (Spring) 3
Computer Science Group
Code Title Units
CSE 511A Introduction to Artificial Intelligence 3
CSE 517A Machine Learning 3
CSE 520S Real-Time Systems (Fall) 3
CSE 521S Wireless Sensor Networks 3
CSE 546T Computational Geometry 3
CSE 556A Human-Computer Interaction Methods(Fall)
3
CSE 559A Computer Vision (Spring) 3
• The remaining courses in the program may be selected fromsenior or graduate-level courses in ESE or elsewhere inthe university that are approved by the department. Pleaseconsult the ESE departmental website (https://ese.wustl.edu/graduate/degreeprograms/Pages/meng-robotics.aspx) for alist of allowable electives.
• ESE 590 Electrical & Systems Engineering GraduateSeminar must be taken by full-time graduate studentseach semester. This course taken with the satisfactory/unsatisfactory grade option.
• A maximum of 6 units may be transferred from anotherinstitution and applied toward the master's degree.
• The degree program must be consistent with the residencyand other applicable requirements of Washington Universityand the McKelvey School of Engineering.
• The degree must include at least 15 units of 500-levelcourses.
• Students must obtain a cumulative grade-point average ofat least 3.0 out of a possible 4.0 overall for courses appliedtoward the degree. Courses that apply toward the degreemust be taken with the credit/letter grade option.
Certificate in Imaging Science &Engineering (IS&E)Washington University has been a leader in imaging scienceresearch for more than four decades, with many new medicalimaging modalities, advanced applications in planetaryscience, and fundamental theories having been developedhere. The Imaging Sciences Pathway (https://sites.wustl.edu/imagingsciences/) in the Division of Biology and BiologicalSciences in Arts & Sciences is jointly administered with theMcKelvey School of Engineering, with students pursuing degreesin departments across the university. The Imaging Science& Engineering (IS&E) certificate program complements theImaging Sciences Pathway for students in the departmentsof Electrical & Systems Engineering, Biomedical Engineering,Computer Science & Engineering, Mechanical Engineering& Materials Science, Chemistry, Physics, and the Division of
56
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Biology and Biological Sciences. Each department has its ownrequirements, but all include the IS&E seminar. The program isflexible, so students are encouraged to appeal to the programdirector to identify individualized programs.
The IS&E certificate program is built on the strengths ofimaging science throughout the university. This multidisciplinaryprogram is constructed to expose students to the breadth ofimaging research activities at Washington University. Therehas been an explosion of both increased bandwidth of existingimaging systems and new sensing modalities. The increasein bandwidth from sensors drives innovations in computing,image reconstruction and image understanding. New sensingmodalities present unique opportunities for young researchers tomake fundamental contributions.
Medical imaging continues to comprise the largest set ofapplications at Washington University. The resolution of modernwhole-body imaging sensors has revolutionized medicine. Thedevelopment of new portable imaging modalities broadens theimpact by lowering cost. Imaging science includes understandingof the underlying physical, biological and chemical processesthat yield signals of interest. Microscopes, visible/infraredcameras, magnetic resonance, X-ray, ultrasound and nuclearsensors provide the data used for imaging or inferring underlyingprocesses. Imaging supports clinical diagnosis, radiationoncology, and molecular and neural imaging.
Imaging supports advances in earth and planetary science,enabling discovery from rovers on Mars, characterizing surfaceproperties from satellites, and inferring internal phenomena inplanetary objects. Modern understanding of materials science isdriven in part by new imaging methods. New imaging systemsfor plant science seek better characterization of their biologicalsystems.
Data rates from imaging systems demand efficient processing,manipulation and representation. In modern imaging systems,computing and sensing often must be jointly optimized. Inferenceis typically based on searching for meaningful patterns in thedata, along with the relative contributions of those patterns.
For more information, please refer to the Department ofElectrical & Systems Engineering website (http://ese.wustl.edu/)or contact the department directly.
Entering and Completing theProgramGraduate students in participating departments may apply foradmission to the IS&E program. Admission requires graduatestanding in a participating department, a demonstrated interest inaspects of imaging, and approval of the program director.
Upon being awarded a graduate degree by their homedepartment and completing certain requirements of theprogram, students are awarded a certificate indicating theirsuccessful participation in the IS&E program in addition to
having completion of the certificate program posted on theirofficial transcript. The requirements for receiving a certificate areacceptance into the IS&E program, completion of four imagingcourses approved by the program director, completion of therequirements for a graduate degree in the student's homedepartment, and participation in the IS&E seminar required for allstudents in the IS&E program.
Seminars by faculty in imaging science, others at WashingtonUniversity, and experts from outside the university convey newdevelopments and directions in the field of imaging science andits applications. These seminars also provide the opportunity forinteractions among those involved in the program.
Courses of InstructionFundamentals underlying imaging science and engineering andthe application of these fundamentals to contemporary problemsof importance form the theme of the program. Relevant coursescome from across the university. The program is flexible,allowing students — in consultation with their advisers and theprogram director — to design a program that is best for them.Below are representative courses that students in the programtake.
Courses in the Imaging Sciences Pathway in the Division ofBiology and Biological Sciences
• ESE 596 Seminar in Imaging Science and Engineering/CSE596/BME 506/Physics 596 (required)
• BME 530A Molecular Cell Biology for Engineers
• ESE 589 Biological Imaging Technology/BME 589
• BIOL 5068 Fundamentals of Molecular Cell Biology
• BIOL 5146 Principles and Applications of Biological Imaging
• BIOL 5147/Chem 5147 Contrast Agents for BiologicalImaging
Courses in Electrical & Systems Engineering
• ESE 438 Applied Optics
• ESE 520 Probability and Stochastic Processes
• ESE 524 Detection and Estimation Theory
• ESE 582 Fundamentals and Applications of Modern OpticalImaging
• ESE 585 Optical Imaging
• ESE 586A Tomographic Imaging
• ESE 587 Ultrasonic Imaging Systems
• ESE 588 Quantitative Image Processing
• ESE 589 Biological Imaging Technology
• ESE 591 Special Topics: Biomedical Topics I: Principles
• ESE 592 Special Topics: Biomedical Topics II: Imaging
• ESE 596 Seminar in Imaging Science and Engineering(required)
Courses in Computer Science and Engineering
57
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
• CSE 517A Machine Learning
• CSE 546T Computational Geometry
• CSE 554A Geometric Computing for Biomedicine
• CSE 596 Seminar in Imaging Science and Engineering(required)
Courses in Biomedical Imaging
• BME 502 Cardiovascular MRI — Physics to ClinicalApplication
• BME 503A Cell and Organ Systems Biology
• BME 504 Light Microscopy and Optical Imaging
• BME 506 Seminar in Imaging Science and Engineering(required)
• BME 530A Molecular Cell Biology for Engineers
• BME 589 Biological Imaging Technology
• BME 5907 Advanced Concepts in Image Science
• BME 591 Biomedical Optics I: Principles
• BME 592 Special Topics: Biomedical Topics II: Imaging
• BME 596 Seminar in Imaging Science and Engineering(required)
Courses in Physics, Chemistry, and Psychology
• Physics 534 Magnetic Resonance
• Physics 589 Selected Topics in Physics I
• Physics 590.1 Seminar-Physics of Ultrasonic Imaging inCardiovascular Medicine
• Chem 5762 Electron Spin Resonance
• Chem 576 Magnetic Resonance
• Chem 435 Nuclear and Radiochemistry Lab
• Chem 436 Introduction to the Atomic Nucleus
• Chem 578 Nuclear Magnetic Resonance Spectroscopy
• Psych 4450 Functional Neuroimaging Methods
Website: https://ese.wustl.edu/graduate/degreeprograms/Pages/graduate-certificate-imaging-science-engineering.aspx
Energy, Environmental &Chemical EngineeringThe Department of Energy, Environmental & ChemicalEngineering (EECE) provides integrated and multidisciplinaryprograms of scientific education in cutting-edge areas, includingthe PhD in Energy, Environmental & Chemical Engineering.The research and educational activities of the department areorganized into four clusters: aerosol science and engineering;engineered aquatic processes; multiscale and electrochemicalengineering; and synthetic biology and bioproduct engineering.These overlapping clusters address education and research infour thematic areas: energy; environmental engineering science;
advanced materials; and sustainable technology for publichealth and international development. In addition to the corefaculty in the department, faculty in the schools of Medicine,Arts & Sciences, Business, Law, and Social Work collaborate toprovide students with a holistic education and to address topicalproblems of interest.
Three master's programs are offered through the department:Master of Science in Energy, Environmental & ChemicalEngineering (MS), Master of Engineering in Energy,Environmental & Chemical Engineering (MEng) and Masterof Engineering in Energy, Environmental & ChemicalEngineering/Master of Business Administration (MEng/MBA). The MS degree is a research-focused master's programfor students interested in studying environmental engineering,energy systems and chemical engineering. The MEng degreeprovides students with critical scientific and engineering skillsets; leadership training for management, economics, and policydecision making; and the opportunity to specialize in one offive pathways. The MEng/MBA is a dual degree between theMcKelvey School of Engineering and the Olin Business Schoolthat provides engineering and business approaches to issuesof sustainability, energy, the environment and corporate socialresponsibility. Interested students must apply and be acceptedto both programs before admission is provided to the MEng/MBAdual-degree program.
The department is a key participant in the university's Energy,Environment & Sustainability (http://sustainability.wustl.edu/)initiative, and it supports both the International Center forEnergy, Environment and Sustainability (InCEES) (http://incees.wustl.edu/) and the McDonnell Academy GlobalEnergy and Environment Partnership (MAGEEP) (http://mageep.wustl.edu/). Major externally funded research centersin the department include the Consortium for Clean CoalUtilization (http://cleancoal.wustl.edu/), the Nano ResearchFacility (NRF) and Jens Environmental Molecular and NanoscaleAnalysis Laboratory (Jens Lab) (https://nano.wustl.edu/), andthe Center for Aerosol Science and Engineering (CASE) (https://aerosols.wustl.edu/).
Phone: 314-935-5548
Website: https://eece.wustl.edu/academics/graduate-programs/index.html (https://eece.wustl.edu/academics/graduate-programs/)
58
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
FacultyChair and Endowed ProfessorPratim Biswas (https://engineering.wustl.edu/faculty/Pratim-Biswas.html)Lucy and Stanley Lopata ProfessorPhD, California Institute of TechnologyAerosol science and engineering, air quality and pollutioncontrol, nanotechnology, environmentally benign energyproduction
Endowed ProfessorsRichard L. Axelbaum (https://engineering.wustl.edu/faculty/Richard-Axelbaum.html)Stifel and Quinette Jens ProfessorPhD, University of California, DavisCombustion, advanced energy systems, clean coal, aerosols,nanoparticle synthesis, rechargeable battery materials, thermalscience
Daniel E. Giammar (https://engineering.wustl.edu/faculty/Daniel-Giammar.html)Walter E. Browne Professor of Environmental EngineeringPhD, California Institute of TechnologyAquatic chemistry, environmental engineering, water quality,water treatment
Vijay Ramani (https://engineering.wustl.edu/faculty/Vijay-Ramani.html)Director of Graduate StudiesRoma B. and Raymond H. Wittcoff Distinguished UniversityProfessor PhD, University of ConnecticutElectrochemical engineering, energy conversion
ProfessorsZhen (Jason) He (https://engineering.wustl.edu/faculty/Zhen-Jason-He.html)PhD, Washington UniversityEnvironmental biotechnology, bioenergy production, biologicalwastewater treatment, resource recovery, bioelectrochemicalsystems, sustainable desalination technology, anaerobicdigestion, forward osmosis, membrane bioreactors
Young-Shin Jun (https://engineering.wustl.edu/faculty/Young-Shin-Jun.html)PhD, Harvard UniversityAquatic processes, molecular issues in chemical kinetics,environmental chemistry, surface/physical chemistry,environmental engineering, biogeochemistry, nanotechnology
Randall Martin (https://engineering.wustl.edu/faculty/Randall-Martin.html)PhD, Harvard UniversityCharacterizing atmospheric composition to inform effectivepolicies surrounding major environmental and public healthchallenges ranging from air quality to climate change
Palghat A. Ramachandran (https://engineering.wustl.edu/faculty/Palghat-Ramachandran.html)PhD, University of BombayChemical reaction engineering, applied mathematics, processmodeling, waste minimization, environmentally benignprocessing
Yinjie Tang (https://engineering.wustl.edu/faculty/Yinjie-Tang.html)PhD, University of Washington, SeattleMetabolic engineering, bioremediation
Jay R. Turner (https://engineering.wustl.edu/faculty/Jay-Turner.html)Vice Dean for EducationDSc, Washington UniversityAir quality planning and management; aerosol science andengineering, green engineering
Jian Wang (https://engineering.wustl.edu/faculty/Jian-Wang.html)PhD, California Institute of TechnologyAerosol properties and processes, nucleation and new particleformation, aerosols in the marine environment, effects ofaerosols on cloud microphysical properties and macrophysicalstruct
Associate ProfessorsRajan Chakrabarty (https://engineering.wustl.edu/faculty/Rajan-Chakrabarty.html)PhD, University of Nevada, RenoCharacterizing the radiative properties of carbonaceous aerosolsin the atmosphere; and researching gas phase aggregation ofaerosols in cluster-dense conditions
Marcus Foston (https://engineering.wustl.edu/faculty/Marcus-Foston.html)PhD, Georgia Institute of TechnologyUtilization of biomass resources for fuel and chemicalproduction, renewable synthetic polymersure, and developmentof advanced aerosol instruments
Tae Seok Moon (https://engineering.wustl.edu/faculty/Tae-Seok-Moon.html)PhD, Massachusetts Institute of TechnologyMetabolic engineering and synthetic biology
59
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Brent Williams (https://engineering.wustl.edu/faculty/Brent-Williams.html)Raymond R. Tucker Distinguished InCEES Career DevelopmentAssociate ProfessorPhD, University of California, BerkeleyAerosols, global climate issues, atmospheric sciences
Fuzhong Zhang (https://engineering.wustl.edu/faculty/Fuzhong-Zhang.html)PhD, University of TorontoMetabolic engineering, protein engineering, synthetic andchemical biology
Assistant ProfessorsPeng Bai (https://engineering.wustl.edu/faculty/Peng-Bai.html)PhD, Tsinghua University, ChinaDevelop next-generation batteries, probe the in situelectrochemical dynamics of miniature electrodes down tonanoscales, capture the heterogeneous and stochastic natureof advanced electrodes, and identify the theoretical pathwaysand boundaries for the rational design of materials, electrodesand batteries through physics-based mathematical modeling andsimulation
Fangqiong Ling (https://engineering.wustl.edu/faculty/Fangqiong-Ling.html)PhD, University of Illinois at Urbana-ChampaignMicrobial ecosystem analysis and modelling, process modelling,machine learning, NextGen sequencing bioinformatics,environmental microbiology, and bioreactor design
Kimberly M. Parker (https://engineering.wustl.edu/faculty/Kimberly-Parker.html)PhD, Stanford UniversityInvestigation of environmental organic chemistry in natural andengineered systems
Elijah Thimsen (https://engineering.wustl.edu/faculty/Elijah-Thimsen.html)PhD, Washington UniversityGas-phase synthesis of inorganic nanomaterials for energyapplications, and novel plasma synthesis approaches
Research Assistant ProfessorBenjamin Kumfer (https://engineering.wustl.edu/faculty/Benjamin-Kumfer.html)DSc, Washington UniversityAdvanced coal technologies, biomass combustion, aerosolprocesses and health effects of combustion-generated particles
Professor of PracticeJohn Reardon (https://engineering.wustl.edu/faculty/John-Reardon.html)MS, University of New MexicoEntrepreneurial engineering
Senior LecturersJanie Brennan (https://engineering.wustl.edu/faculty/Janie-Brennan.html)Director of Undergraduate StudiesPhD, Purdue UniversityBiomaterials, chemical engineering, engineering education
Raymond Ehrhard (https://engineering.wustl.edu/faculty/Ray-Ehrhard.html)BS, Missouri University of Science and TechnologyWater and wastewater treatment technologies, process energymanagement
LecturersTrent Silbaugh (https://engineering.wustl.edu/faculty/Trent-Silbaugh.html)PhD, University of WashingtonChemical engineering
Avni Solanki (https://engineering.wustl.edu/faculty/Avni-Solanki.html)PhD, University of FloridaWastewater, sustainable development, environmentalengineering, and engineering education
Joint FacultyDoug AllenPhD, Purdue UniversityUSDA Research Scientist, Danforth Plant Sciences CenterMetabolic networks of oilseed plants
Nathan RaviPhD, Virginia Polytechnic InstituteCataract, ocular biomaterials
Adjunct FacultyGary MooreMS, Missouri University of Science and TechnologyEnvironmental management
Keith TomaziPhD, University of Missouri-RollaProcess development engineering
Grigoriy YablonskyPhD, Boreskov Institute of CatalysisChemical reaction engineering and heterogeneous catalysis
Senior ProfessorMilorad P. DudukovicLaura and William Jens ProfessorPhD, Illinois Institute of TechnologyChemical reaction engineering, multiphase reactors, visualizationof multiphase flows, tracer methods, environmentally benignprocessing
60
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Rudolf B. HusarPhD, University of MinnesotaEnvironmental informatics, aerosol science and engineering
Degree RequirementsPlease visit the following pages for information about thedegrees offered:
• PhD in Energy, Environmental & Chemical Engineering(EECE) (p. 64)
• Master of Science (MS) in Energy, Environmental &Chemical Engineering (EECE) (p. 64)
• Master of Engineering (MEng) in Energy, Environmental &Chemical Engineering (EECE) (p. 64)
• Combined Master of Engineering/Master of BusinessAdministration (MEng/MBA) (given jointly with Olin BusinessSchool) (p. 65)
CoursesVisit online course listings to view semester offerings forE44 EECE (https://courses.wustl.edu/CourseInfo.aspx?sch=E&dept=E44&crslvl=5:8).
E44 EECE 500 Independent StudyIndependent investigation on topic of special interest. Interestedstudents are encouraged to approach and engage faculty todevelop a topic of interest. A form declaring the agreementmust be filed in the departmental office. Petitions are generallyconsidered in the semester preceding the independent studyexperience. Prerequisite: graduate-level standing.Credit variable, maximum 9 units.
E44 EECE 501 Transport Phenomena in EECEThe aim of the course is for students to develop skills in applyingprinciples of momentum, heat and mass transport in a unifiedmanner to problems encountered in the areas of energy,environmental and chemical processes. A systems approach willbe followed so that the general principles can be grasped, andthe skills needed to develop mathematical models of seeminglydifferent processes will be emphasized. This provides thestudents with general tools that they can apply later in theirchosen field of research.Credit 3 units.
E44 EECE 502 Advanced Thermodynamics in EECEThe objective of this course is to understand classicalthermodynamics at a deeper level then is reached duringtypical undergraduate work. Emphasis will be placed on solvingproblems relevant to chemical engineering materials science.Prerequisite: E44 203 or equivalent.Credit 3 units.
E44 EECE 503 Mathematical Methods in EECEThe course will introduce students to mathematical principlesessential for graduate study in any engineering discipline.Applied mathematical concepts will be demonstrated byapplications to various areas in energy, environmental,biomedical, chemical, mechanical, aerospace, electrical and civilengineering.Credit 3 units.
E44 EECE 504 Aerosol Science and TechnologyFundamental properties of particulate systems — physicsof aerosols, size distributions, mechanics and transport ofparticles: diffusion, inertia, external force fields. Visibility andlight scattering. Aerosol dynamics — coagulation, nucleation,condensation. Applications to engineered systems: nanoparticlesynthesis, atmospheric aerosols, combustion aerosols,pharmaceutical aerosols. Prerequisites: EECE 301, ESE 318and 319.Credit 3 units. EN: BME T, TU
E44 EECE 505 Aquatic ChemistryAquatic chemistry governs aspects of the biogeochemical cyclingof trace metals and nutrients, contaminant fate and transport,and the performance of water and wastewater treatmentprocesses. This course examines chemical reactions relevantto natural and engineered aquatic systems. A quantitativeapproach emphasizes the solution of chemical equilibrium andkinetics problems. Topics covered include chemical equilibriumand kinetics, acid-base equilibria and alkalinity, dissolutionand precipitation of solids, complexation of metals, oxidation-reduction processes, and reactions on solid surfaces. A primaryobjective of the course is to be able to formulate and solvechemical equilibrium problems for complex environmentalsystems. In addition to solving problems manually to developchemical intuition regarding aquatic systems, softwareapplications for solving chemical equilibrium problems are alsointroduced. Prerequisites: senior or graduate level standing, orpermission of instructorCredit 3 units. EN: BME T, TU
E44 EECE 506 Bioprocess Engineering I: Fundamentals &ApplicationsThe course covers the fundamentals and provides the basicknowledge needed to understand and analyze processes inbiotechnology in order to design, develop and operate themefficiently and economically. This knowledge is applied tounderstand various applications and bioprocesses, such asformation of desirable bio and chemical materials and products,production of bioenergy, food processing and waste treatment.The main objective of the course is to introduce the essentialconcepts and applications of bioprocessing to students ofdiverse backgrounds. An additional project is required to obtaingraduate credit. Prerequisites: L41 Biol 2960 or equivalent orpermission of instructor.Credit 3 units. EN: BME T, TU
E44 EECE 507 Kinetics and Reaction Engineering PrinciplesThis course is aimed at a modern multiscale treatment of kineticsof chemical and biochemical reactions and the application ofthese fundamentals to analyze and design reactors. Applicationof reaction engineering principles in areas related to energygeneration, pollution prevention, chemical and biochemical
61
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
processes will be studied and illustrated with case studies andcomputer models. Description of the role of mass and heattransport in reacting systems is also provided, with numerousexamples.Credit 3 units.
E44 EECE 508 Research RotationFirst-year doctoral students in EECE should undertake ResearchRotation as a requirement prior to choosing a permanentresearch adviser. The rotation will require the student to workunder the guidance of a faculty member.
E44 EECE 509 Seminar in Energy, Environmental, andChemical EngineeringAll graduate students in EECE should attend the DepartmentalSeminar Series to gain exposure in various diverse fields ofresearch. Students are also expected to participate in journalclubs and other discussion formats to discuss topical researchareas. The course is required of all graduate students everysemester of residency in the program.Credit 1 unit.
E44 EECE 510 Advanced Topics in Aerosol Science &EngineeringThis course will be focused on the discussion of advancedtopics in aerosol science and engineering and their applicationsin a variety of fields, including materials science, chemicalengineering, mechanical engineering, and environmentalengineering. Prerequisite: EECE 504.Credit 3 units. EN: BME T, TU
E44 EECE 512 Combustion PhenomenaThis course provides an introduction to fundamental aspects ofcombustion phenomena, including relevant thermochemistry,fluid mechanics, and transport processes as well as theinteractions among them. Emphasis is on elucidation of thephysico-chemical processes, problem formulation and analytictechniques. Topics covered include non-premixed and premixedflames, deflagrations and detonations, particle combustion, flameextinction, flame synthesis, pollutant formation and methods ofremediation. Contemporary topics associated with combustionare discussed throughout. Prerequisites: graduate standing orpermission of instructor.Credit 3 units. EN: BME T, TU
E44 EECE 514 Atmospheric Science and ClimateThis course will cover current research topics in atmosphericchemistry and climate change. Topics include atmosphericcomposition, chemistry, transport, dynamics, radiation,greenhouse gases, natural and anthropogenic primary pollutionsources and secondary aerosol production, and measurementtechniques. Focus will be placed on how our atmosphere andclimate are altered in a world of changing energy production andland use. Prerequisites: Chemistry 112A, Physics 198, and junioror higher standing.Credit 3 units. EN: BME T, TU
E44 EECE 516 Measurement Techniques for ParticleCharacterizationThe purpose of this course is to introduce students to theprinciples and techniques of particle measurement andcharacterization. Practical applications of particle technologyinclude air pollution measurement, clean manufacturing ofsemiconductors, air filtration, indoor air quality, particulateemission from combustion sources and so on. The coursewill focus on the following: (1) integral moment measurementtechniques; (2) particle sizing and size distribution measuringtechniques; and (3) particle composition measurementtechniques. Related issues such as particle sampling andtransportation, instrument calibration, and particle standards willalso be covered.Credit 3 units. EN: BME T, TU
E44 EECE 531 Environmental Organic ChemistryFundamental, physical-chemical examination of organicmolecules (focused on anthropogenic pollutants) in aquatic(environmental) systems. Students learn to calculate and predictchemical properties that are influencing the partitioning oforganic chemicals within air, water, sediments and biologicalsystems. This knowledge will be based on understandingintermolecular interactions and thermodynamic principles.Mechanisms of important thermochemical, hydrolytic, redox,and biochemical transformation reactions are also investigated,leading to the development of techniques (such as structure-reactivity relationships) for assessing environmental fate orhuman exposure potential. Prerequisites: EECE 210 or EECE205 (or EECE 201 and EECE 203); Chem 261, or permission ofinstructorCredit 3 units. EN: BME T, TU
E44 EECE 533 Physical and Chemical Processes for WaterTreatmentWater treatment is examined from the perspective of thephysical and chemical unit processes used in treatment. Thetheory and fundamental principles of treatment processesare covered and are followed by the operation of treatmentprocesses. Processes covered include gas transfer, adsorption,precipitation, oxidation-reduction, flocculation, sedimentation,filtration, and membrane processes. Corequisites: EECE 204and EECE 210 or equivalents, or permission of instructorCredit 3 units. EN: BME T, TU
E44 EECE 534 Environmental NanochemistryThis course involves the study of nanochemistry at variousenvironmental interfaces, focusing on colloid, nanoparticle,and surface reactions. The course also (1) examines thethermodynamics and kinetics of nanoscale reactions at solid-water interfaces in the presence of inorganic or organiccompounds and microorganisms; (2) investigates how nanoscaleinterfacial reactions affect the fate and transport of contaminants;(3) introduces multidisciplinary techniques for obtainingfundamental information about the structure and reactivity ofnanoparticles and thin films and the speciation or chemicalform of environmental pollutants at the molecular scale; and (4)explores connections between environmental nanochemistry andenvironmental kinetic analysis at larger scales. This course willhelp students attain a better understanding of the relationshipbetween nanoscience/technology and the environment,specifically how nanoscience could potentially lead to betterwater treatments, more effective contaminated-site remediation,or new energy alternatives.
62
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Credit 3 units. EN: BME T, TU
E44 EECE 535 Environmental Data ScienceMany of the grand challenges that we face today requireunderstanding and manipulation of processes at the interfaceof natural and manmade environments. Oftentimes, suchknowledge is acquired through data. Skills to effectively visualizeand analyze data and build predictive models are valued acrossdifferent sectors of the society. This is an application-drivencourse. Prerequisites: EECE 503 or equivalent, Math 217 orequivalent, EECE 503 or equivalent, and ESE 326 or equivalent;or permission of instructor.Credit 3 units. EN: TU
E44 EECE 537 Environmental Resource RecoveryThis course will focus on key concepts of resource recoveryfrom wastes. Topics include energy, water, nutrient, and value-added compounds. The course will discuss technologicaladvancements, environmental impacts, and techno-economicassessment of environmental resource recovery. The cutting-edge recovery technologies in full-scale applications orlaboratory studies will be introduced. Students will be trainedfor critical thinking and review of literature information, practicetechnical analysis and writing, and conduct a concept designof recovery systems using the data from local wastewatertreatment facilities. The course is valuable as a prerequisiteto more advanced research in environmental engineering, asa technical education to stimulate graduate students' interestin environmental sustainability, and as an introduction toenvironmental constraints that are increasingly important to otherengineering disciplines.Credit 3 units.
E44 EECE 551 Metabolic Engineering and Synthetic BiologySynthetic Biology is a transformative view of biology from"observation approach" to "synthesis approach." It is new"engineering" discipline and aims to make the engineering ofnew biological function predictable, safe, and quick. It will pave awide range of applications to transform our views on productionof sustainable energy and renewable chemicals, environmentalproblems, and human disease treatments. The field intersectswith Metabolic Engineering in areas such as the design of novelpathways and genetic circuits for product generation and toxicchemical degradation. In this course, the field and its basis areintroduced. First, relevant topics in biology, chemistry, physics,and engineering are covered. Second, students will participatein brain-storming and discussion on new biology-based systems.Last, students will design and present new synthetic biologysystems to solve real-world problems. No prerequisite. Bothundergrad and graduate students can take this course.Credit 3 units. EN: BME T, TU
E44 EECE 552 Biomass Energy Systems and EngineeringThis course offers background in the organic chemistry, biologyand thermodynamics related to understanding the conversionof biomass. In addition includes relevant topics relating tobiomass feedstock origin, harvest, transportation, storage,processing and pretreatment along with matters concerningthermo- and bio-chemical conversion technologies required toproduce fuels, energy, chemicals, and materials. Also, variousissues with respect to biomass characterization, economicsand environmental impact will be discussed. The main objectiveof the course is to introduce concepts central to a large-scaleintegrated biomass bioconversion system.
Credit 3 units. EN: BME T, TU
E44 EECE 554 Molecular Biochemical EngineeringThis course is set for junior-level graduate students to bridgethe gap between biochemical engineering theory and academicresearch in bioengineering. It will cover common molecularbiotechnologies (molecular biology, microbiology, recombinantDNA technology, protein expression, etc.), biochemical models(enzyme catalysis, microbial growth, bioreactor, etc.) andbioengineering methodologies (protein engineering, expressioncontrol systems, etc.). These theories and technologies willbe introduced in a manner closely related to daily academicresearch or biochemical industry. Areas of applicationinclude biofuel and chemical production, drug discovery andbiosynthesis, bioremediation, and environmental applications.This course also contains a lab section (~20-30%) that requiresstudents to apply the knowledge learned to design experiments,to learn basic experimental skills, and to solve current researchproblems. Prerequisites: EECE 101, Bio 2960, Bio 4810.Credit 3 units. EN: BME T, TU
E44 EECE 572 Advanced Transport PhenomenaAnalytical tools in transport phenomena: Scaling, perturbationand stability analysis. Numerical computations of commontransport problem with MATLAB tools. Low Reynolds numberflows and applications to microhydrodynamics. Turbulentflow analysis and review of recent advances in numericalmodeling of turbulent flows. Convective heat and mass transferin laminar and turbulent flow systems. Introduction to two phaseflow and multiphase reactors. Pressure-driven transport andtransport in membranes, electrochemical systems, double layereffects and flow in microfluid devices. Prerequisites: EECE 501(Transport phenomena) or equivalent senior level courses in fluidmechanics and heat transfer.Credit 3 units. EN: BME T, TU
E44 EECE 574 Electrochemical EngineeringThis course will teach the fundamentals of electrochemistry andthe application of the same for analyzing various electrochemicalenergy sources/devices. The theoretical frameworks of current-potential distributions, electrode kinetics, porous electrode andconcentrated solution theory will be presented in the context ofmodeling, simulation and analysis of electrochemical systems.Applications to batteries, fuel cells, capacitors, and copperdeposition will be explored. Pre-/corequisites: EECE 501-502 (orequivalent) or permission of instructor.Credit 3 units.
E44 EECE 576 Chemical Kinetics and CatalysisThis course reflects the fast, contemporary progress beingmade in decoding kinetic complexity of chemical reactions, inparticular heterogeneous catalytic reactions. New approachesto understanding relationships between observed kineticbehaviour and reaction mechanism will be explained. Presenttheoretical and methodological knowledge will be illustrated bymany examples taken from heterogeneous catalysis (completeand partial oxidation), combustion and enzyme processes.Prerequisite: senior or graduate student standing, or permissionof instructor.Credit 3 units. EN: BME T, TU
63
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
E44 EECE 597 EECE Project ManagementAn introduction to the theory and practice of engineeringproject management, with an emphasis on projects relatedto environmental protection and occupational health andsafety. Topics include project definition and justification;project evaluation and selection; financial analysis and costestimation; project planning, including scheduling, resourcingand budgeting; project oversight, auditing and reporting;and effective project closure. Students will be introduced tocommonly used project management tools and systems, suchas work breakdown structures, network diagrams, Gantt charts,and project management software. Topics will also includeproject management in different organizational structures andphilosophies; creating effective project teams; and managingprojects in international settings. Prerequisites: enrolled in MEngprogram; senior or higher standing.Credit 3 units.
E44 EECE 599 Master's ResearchCredit variable, maximum 9 units.
E44 EECE 600 Doctoral ResearchCredit variable, maximum 9 units.
PhD in Energy, Environmental &Chemical Engineering (EECE)The doctoral degree requires a total of 72 credits beyond thebachelor's degree. Of these, a minimum of 36 credits must begraduate course work, and a minimum of 30 credits must bedoctoral thesis research units. To be admitted to candidacy,students must have completed at least 18 credits at WashingtonUniversity, have an overall grade-point average of at least 3.25,and pass the qualifying examination. Note that, to be eligible totake the qualifying exam, students must maintain a 3.25 GPA asdescribed in the EECE PhD handbook. All students are requiredto enroll in the department seminar every semester to receivepassing grades. The first-year students must complete the corecurriculum, perform two research rotations, and find a permanentresearch adviser. Then, within 18 months after the qualifyingexam (generally in their third year), students should defend theirthesis proposal.
After successful proposal defense, students should providetheir research updates through annual meetings or reports withtheir thesis committee until their graduation. While conductingdoctoral research, students should perform in a professionalmanner in their research lab and/or office setting and be incompliance with all safety and regulatory requirements for theirresearch projects. During the doctoral program, students mustsatisfy their fundamental and advanced teaching requirementsby participating in mentored teaching experiences in thedepartment for two or three semesters, by attending professionaldevelopment workshops from the Teaching Center, and bypresenting at least two formal presentations at the local level or
at national or international conferences. Upon completion of theirdissertation, students must present their dissertation research ina public forum and successfully defend the dissertation beforetheir thesis committee.
For more detailed guidelines, please refer to the EECE doctoralstudies handbook available on the EECE Graduate DegreePrograms webpage (https://eece.wustl.edu/graduate/programs/Pages/PhD-Energy-Environmental-Chemical-Eng.aspx).
Master of Science (MS) inEnergy, Environmental &Chemical Engineering (EECE)The MS degree is a research-focused master's program forstudents interested in studying environmental engineering,energy systems and chemical engineering. This degree istypically a two-year program that requires the completion ofcourse work and a research thesis project under the supervisionof a faculty member.
The program consists of 30 credits: 24 credits of course workand 6 credits of thesis research. The course work is comprisedof 15 credits of core courses and 9 elective units (400 or 500level) chosen with the approval of the adviser. Students musthave a cumulative grade-point average of 2.75 or better toreceive the degree. The 6 credits of thesis work are doneunder the guidance of a tenured or tenure-track faculty memberin the department. The research results presented in theform of a written thesis must be approved by a three-personfaculty committee formed with the approval of the adviser. Thecompletion of the degree program must be consistent with theresidency and other applicable requirements of WashingtonUniversity and the McKelvey School of Engineering.
Doctoral students may also receive an MS in EECE "along theway" in their PhD program. They should have passed the PhDproposal defense, completed 30 units of required course work,and published or submitted at least one peer-reviewed journalmanuscript from their thesis research.
For more detailed information, please visit the MS in EECE(https://eece.wustl.edu/graduate/programs/Pages/MS-in-Energy-Environmental-Chemical-Engineering.aspx) webpage.
Master of Engineering (MEng)in Energy, Environmental &Chemical Engineering (EECE)This professional graduate degree is a master's programbased in course work for students interested in state-of-the-art practice in environmental engineering, energy systems andchemical engineering. The master's degree provides studentswith critical scientific and engineering skill sets; leadership
64
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
training for management, economics and policy decision; and theopportunity to specialize in specific pathways. The curriculum isgeared to enhance skill sets for practice in industry and can becompleted by a full-time student in 12 to 18 months.
The program consists of 30 units, with a total of five requiredcore courses in four areas:
• Technical Core (6 units)
• Mathematics (3 units)
• Project Management (3 units)
• Social, Legal, and Policy Aspects (3 units)
Elective courses (400 or 500 level) are selected with theapproval of the academic adviser. Up to six elective units maybe in the form of an independent study project. All coursescomprising the required 30 credits must be taken for a grade(i.e., they cannot be taken pass/fail), and a minimum grade-pointaverage of 2.70 is required for graduation.
Pathways composed of specific elective courses can becompleted to result in a certificate of specialization. Availablepathways include the following:
• Advanced Energy Technologies
• Bioengineering and Biotechnology
• Environmental Engineering Science
• Energy and Environmental Nanotechnology
• Energy and Environmental Management
For more detailed information, please visit the MEng in EECEwebpage (https://eece.wustl.edu/graduate/programs/Pages/MEng-Energy-Environmental-Chemical-Eng.aspx).
Combined Master ofEngineering/Master of BusinessAdministration (MEng/MBA)In recent years, student interest has grown rapidly in theintersection between engineering and business approaches toissues of sustainability, energy, the environment and corporatesocial responsibility. An interdisciplinary approach is necessaryto address these issues with innovative, critical thinking that willlead to practical, effective solutions. This combined program —the Master of Engineering in Energy, Environmental & ChemicalEngineering/Master of Business Administration (MEng/MBA),offered by McKelvey School of Engineering and Olin BusinessSchool — is well positioned to address this critical intersection.
The Olin MBA curriculum offers a comprehensive set ofrequired and elective courses built upon a foundation of critical-thinking and leadership skills. Olin MBAs are able to shapethe curriculum to meet their unique personal objectives and toincorporate the MEng degree requirements.
Both the MEng and the MBA degrees will be awardedsimultaneously at the completion of the program.
Please visit the Olin Combined Programs (https://olin.wustl.edu/EN-US/academic-programs/full-time-MBA/academics/joint-degrees/Pages/washu-graduate-programs.aspx) webpageand the EECE MEng/MBA webpage (https://eece.wustl.edu/graduate/programs/Pages/MEngMBA-Program.aspx) for details.
Imaging Science(Interdisciplinary PhD)The PhD in Imaging Science program at Washington Universityin St. Louis is one of only two such programs in the UnitedStates. This program offers an interdisciplinary curriculum thatfocuses on the technology of imaging with applications thatrange from cancer diagnosis to virtual reality.
What is Imaging Science?Imaging science is an interdisciplinary academic disciplinethat broadly addresses the design and optimization of imagingsystems and the extraction of information from images. It buildson contributions from traditional fields including biomedicalengineering, electrical engineering and computer science as wellas from physics, applied mathematics, biology and chemistry.
What Can You Do with a PhD in ImagingScience?The high demand for personnel with training in imaging scienceis reflected in government policy and funding opportunities. Manyacademic, industrial and national laboratory positions exist forhighly qualified candidates. Graduates of the program will beprepared for careers in academic research or in industry thatrequires expertise in the quantitative principles of imaging.
Curriculum Focus• Mathematical and computational principles of image
formation
• Image analysis
• Image understanding
• Image quality assessment
This interdisciplinary program is unique and brings togetherexpert faculty from the McKelvey School of Engineering (https://engineering.wustl.edu/Pages/home.aspx) and the School ofMedicine (https://medicine.wustl.edu/) to provide students withthe freedom and flexibility to learn from leading imaging expertsand to engage in impactful research.
HistoryWashington University has been a leader in the technology andadvancement of imaging science for more than 125 years. Inthe 1920s, Washington University researchers were the first touse X-rays to view the gallbladder. In the 1970s, research byMichel Ter-Pogossian at the university's Mallinckrodt Institute ofRadiology led to the development of the PET scanner.
65
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Website: https://engineering.wustl.edu/academics/programs/imaging-science/index.html (https://engineering.wustl.edu/academics/programs/imaging-science/)
FacultyJody O'Sullivan (https://engineering.wustl.edu/faculty/Joseph-OSullivan.html)Co-DirectorSamuel C. Sachs Professor of Electrical EngineeringPhD, University of Notre DameElectrical & Systems Engineering
Joe Culver (https://www.mir.wustl.edu/research/research-laboratories/optical-radiology-laboratory-orl/people/joseph-culver/)Co-DirectorProfessorPhD, University of PennsylvaniaRadiology; Biomedical Engineering
Sam Achilefu (http://orl.wustl.edu/?id=122)Michel M. Ter-Pogossian Professor of RadiologyUniversity of Nancy, FranceRadiology; Biomedical Engineering
Hongyu An (https://www.mir.wustl.edu/research/research-laboratories/biomedical-magnetic-resonance-laboratory-bmrl/people/bio-an/)Associate ProfessorPhD, Washington UniversityRadiology; Biomedical Engineering
Beau Ances (https://neuro.wustl.edu/research/research-labs-2/ances-laboratory/team/)ProfessorMD, University of PennsylvaniaPhD, University of PennsylvaniaNeurology; Biomedical Engineering
Deanna Barch (https://psychiatry.wustl.edu/people/deanna-barch-phd/)Gregory B. Couch Professor of PsychiatryPhD, University of IllinoisPsychological & Brain Sciences; Biomedical Engineering
Phil Bayly (https://engineering.wustl.edu/faculty/Philip-Bayly.html)Lilyan and E. Lisle Hughes Professor of Mechanical EngineeringPhD, Duke UniversityMechanical Engineering & Materials Science
Aaron Bobick (https://engineering.wustl.edu/faculty/Aaron-Bobick.html)James M. McKelvey Professor and DeanPhD, Massachusetts Institute of TechnologyComputer Science & Engineering
Ayan Chakrabarti (https://engineering.wustl.edu/faculty/Ayan-Chakrabarti.html)Assistant ProfessorPhD, Harvard UniversityComputer Science & Engineering
Hong Chen (https://engineering.wustl.edu/faculty/Hong-Chen.html)Assistant ProfessorPhD, University of WashingtonBiomedical Engineering
James Fitzpatrick (http://neurosci.wustl.edu/people/faculty/james-fitzpatrick/)Associate ProfessorPhD, University of Bristol, United KingdomCell Biology & Physiology; Biomedical Engineering
Michael Gach (https://radonc.wustl.edu/faculty/michael-gach/)Associate ProfessorPhD, University of PittsburghRadiation Oncology; Biomedical Engineering
Roch Guérin (https://engineering.wustl.edu/faculty/Roch-Guerin.html)Harold B. and Adelaide G. Welge Professor of ComputerSciencePhD, California Institute of TechnologyComputer Science & Engineering
Dennis Hallahan (https://wuphysicians.wustl.edu/for-patients/find-a-physician/dennis-e-hallahan/)Elizabeth H. and James S. McDonnell III Distinguished Professorof MedicineMD, Rush UniversityRadiation Oncology; Biomedical Engineering
Tim Holy (http://neurosci.wustl.edu/people/faculty/timothy-holy/)Alan A. and Edith L. Wolff Professor of NeurosciencePhD, Princeton UniversityNeuroscience; Biomedical Engineering
Geoff Hugo (https://radonc.wustl.edu/faculty/geoffrey-hugo-phd/)ProfessorPhD, University of California, Los AngelesRadiation Oncology; Biomedical Engineering
Abhinav Jha (https://engineering.wustl.edu/faculty/Abhinav-Jha.html)Assistant ProfessorPhD, University of ArizonaBiomedical Engineering; Radiology
66
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Tao Ju (https://engineering.wustl.edu/faculty/Tao-Ju.html)ProfessorPhD, Rice UniversityComputer Science & Engineering
Ulugbek Kamilov (https://engineering.wustl.edu/faculty/Ulugbek-Kamilov.html)Assistant ProfessorPhD, École Polytechnique Fédérale de Lausanne, SwitzerlandComputer Science & Engineering; Electrical & SystemsEngineering
Gregory Lanza (https://cardiology.wustl.edu/faculty/gregory-m-lanza-md-phd-facc/)Oliver M. Langenberg Chair, Distinguished Professor of theScience and Practice of MedicineMD, Northwestern UniversityPhD, University of GeorgiaMedicine; Biomedical Engineering
Richard Laforest (https://www.mir.wustl.edu/research/research-laboratories/radiological-chemistry-and-imaging-laboratory-rcil/people/richard-laforest/)Associate ProfessorPhD, University of Laval, CanadaRadiology
Matthew Lew (https://engineering.wustl.edu/faculty/Matthew-Lew.html)Assistant ProfessorPhD, Stanford UniversityElectrical & Systems Engineering
Harold Li (https://radonc.wustl.edu/faculty/harold-li/)Associate ProfessorPhD, Friedrich-Alexander-Universität Erlangen-Nürnberg,GermanyRadiation Oncology; Biomedical Engineering
Daniel Marcus (https://www.mir.wustl.edu/research/research-support-facilities/neuroimaging-informatics-analysis-center-niac/our-staff/niac-staff-dan-marcus/)Associate ProfessorPhD, Washington UniversityRadiology; Biomedical Engineering
Sasa MuticProfessorPhD, University of Missouri-ColumbiaRadiation Oncology; Biomedical Engineering
Arye Nehorai (https://engineering.wustl.edu/faculty/Arye-Nehorai.html)Eugene and Martha Lohman Professor of Electrical EngineeringPhD, Stanford UniversityElectrical & Systems Engineering
Philip Payne (https://publichealth.wustl.edu/scholars/philip-r-payne/)Robert J. Terry ProfessorPhD, Columbia UniversityMedicine; Biomedical Engineering
Jonathan E. Peelle (https://oto.wustl.edu/people/jonathan-e-peele-phd/)Associate Professor of OtolaryngologyPhD, Brandeis UniversityOtolaryngology
David Piston (https://pistonlab.wustl.edu/)ProfessorPhD, University of IllinoisCell Biology & Physiology; Biomedical Engineering
Yoram Rudy (https://engineering.wustl.edu/faculty/Yoram-Rudy.html)Fred Saigh Distinguished Professor of EngineeringPhD, Case Western Reserve UniversityBiomedical Engineering
Joshua Shimony (https://sites.wustl.edu/nillabs/people/joshua-s-shimony/)Professor of RadiologyPhD, University of TennesseeDepartment of Radiology
Kooresh Shoghi (https://www.mir.wustl.edu/research/research-laboratories/radiological-chemistry-and-imaging-laboratory-rcil/people/biotemplate-rcil/kooresh-shoghi/)Associate ProfessorPhD, University of California, Los AngelesRadiology; Biomedical Engineering
Monica Shokeen (https://www.mir.wustl.edu/research/research-laboratories/optical-radiology-laboratory-orl/people/bio-page-template/monica-shokeen/)Assistant ProfessorPhD, Washington UniversityRadiology
Yuan-Chuan Tai (https://www.mir.wustl.edu/research/research-laboratories/radiological-chemistry-and-imaging-laboratory-rcil/people/bio-template3/yuan-chuan-tai/)Associate ProfessorPhD, University of California, Los AngelesRadiology; Biomedical Engineering
David Van Essen (http://dbbs.wustl.edu/faculty/Pages/faculty_bio.aspx?SID=1569)Alumni Endowed ProfessorPhD, Harvard UniversityNeuroscience; Biomedical Engineering
67
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Richard Wahl (https://wuphysicians.wustl.edu/for-patients/find-a-physician/richard-leo-wahl/)Elizabeth E. Mallinckrodt Professor of RadiologyMD, Washington UniversityRadiology
Yong Wang (https://reproductivesciences.wustl.edu/people/yong-wang/)Assistant ProfessorPhD, Washington UniversityObstetrics & Gynecology; Radiology; Biomedical Engineering
Pam Woodard (https://www.mir.wustl.edu/research/research-laboratories/precision-radio-theranostics-translational-laboratories-prt2l/people/pam-woodard/)ProfessorMD, Duke UniversityRadiology; Biomedical Engineering
Deshan Yang (https://radonc.wustl.edu/faculty/deshan-yang-phd/)Associate ProfessorPhD, University of Wisconsin-MadisonRadiation Oncology; Biomedical Engineering
Tiezhi Zhang (https://radonc.wustl.edu/faculty/tiezhi-zhang-phd/)Assistant ProfessorPhD, University of Wisconsin-MadisonRadiation Oncology; Biomedical Engineering
Jie Zheng (https://www.mir.wustl.edu/research/research-laboratories/cardiovascular-imaging-laboratory-cvil/people/cvil-faculty/bio-jie-zheng/)Associate ProfessorPhD, University of CincinnatiRadiology; Biomedical Engineering
Quing Zhu (https://engineering.wustl.edu/faculty/Quing-Zhu.html)ProfessorPhD, University of PennsylvaniaBiomedical Engineering
Professor EmeritusMartin Arthur (https://engineering.wustl.edu/faculty/Martin-Arthur.html)Newton R. and Sarah Louisa Glasgow Wilson Professor ofEngineeringPhD, University of PennsylvaniaElectrical & Systems Engineering
Degree RequirementsPhD in Imaging ScienceRequirementsTo complete the PhD in Imaging Science, students must do thefollowing:
• Maintain an average grade of B (3.0 grade-point average) forall 72 units (up to 24 graduate units may be transferred withapproval)
• Complete courses with no more than one grade below B-
• Complete at least one semester-long research rotation
• Become integrated with a research group
• Pass a qualifying exam
• Successfully defend a thesis proposal
• Present and successfully defend a dissertation
• Complete the mentored teaching experience required bytheir administrative home department
CoursesRequired core courses (22 units):
• BME/CSE/ESE Mathematics of Imaging Science (3 units)
• BME 593 Computational Methods for Imaging Science (3units)
• ESE 506 Seminar in Imaging Science and Engineering (1unit)
• ESE 589 Biological Imaging Technology (3 units)
• BME/ESE 5907 Theoretical Imaging Science (3 units)
• BME/CSE/ESE Image Analysis and Data-Driven Imaging (3units)
• BME/ESE/CSE Practicum in Computational Imaging (3 units)
• BME 601 Research Rotation (3 units) (refer to the ResearchRotations (p. 69) section later on this page)
Elective imaging courses from any of the followingcategories (at least 12 units):
• Computational Imaging & Theory
• Imaging Sensors & Instrumentation
• Image Formation & Imaging Physics
• Translational Biomedical Imaging
• Medical Physics
Progression of Courses (Typical)First Semester
• BME/CSE/ESE Mathematics of Imaging Science (3 units)
• ESE 506 Seminar in Imaging Science & Engineering (1 unit)
• BME 601 Research Rotation (3 units) (refer to the ResearchRotations (p. 69) section later on this page)
• Elective (3 units)
Second Semester
• BME 593 Computational Methods for Imaging Science (3units)
• ESE 589 Biological Imaging Technology (3 units)
• Elective (3 units) or optional second research rotation BME601 (3 units)
68
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Third Semester
• BME 5907 Theoretical Imaging Science (3 units)
• BME/CSE/ESE Image Analysis & Data-Driven Imaging (3units)
• Elective (3 units)
Fourth Semester
• BME/ESE/CSE Practicum in Computational Imaging (3 units)
• Elective or doctoral research (3 units)
• Elective or doctoral research (3 units)
Elective OptionsElective Courses — Computational Imaging & Theory
• BME/ESE Adaptive Imaging
• BME/ESE Wave Physics and Applied Optics for ImagingScientists
• CSE 501N Programming Concepts and Practice
• CSE 511A Introduction to Artificial Intelligence
• CSE 513T Theory of Artificial Intelligence & MachineLearning
• CSE 515T Bayesian Methods in Machine Learning
• CSE 517A Machine Learning
• CSE 519T Advanced Machine Learning
• CSE 543T Algorithms for Nonlinear Optimization
• CSE 546T Computational Geometry
• CSE 554A Geometric Computing for Biomedicine
• CSE 555A Computational Photography
• CSE 559A Computer Vision
• CSE 566S High Performance Computer Systems
• ESE 523 Information Theory
• ESE 524 Detection and Estimation Theory
• ESE 588 Quantitative Image Processing
Elective Courses — Imaging Sensors & Instrumentation
• BME Imaging Instrumentation
Elective Courses — Image Formation & Imaging Physics
• BME 494 Ultrasound Imaging
• BME 591 Biomedical Optics I
• BME 5XX Advanced Topics in Ultrasound Imaging (To bedeveloped)
• BME 5XX Magnetic Resonance Imaging (To be developed)
• BME 5XX Imaging in Nuclear Medicine (To be developed)
• ESE 582/BME 5820 Fundamentals and Applications ofModern Optical Imaging
Elective Courses — Translational Biomedical Imaging
• BME Therapeutic Applications of Biomedical Imaging
Elective Courses — Medical Physics
• BME 507 Radiological Physics and Dosimetry
• BME 5071 Radiobiology
• BME 5072 Radiation Oncology Physics
• BME 5073 Radiation Protection and Safety
Approved Life Science Courses
• BME 503A Cell & Organ Systems
• BME 530A Molecular Cell Biology for Engineers
• BME 538 Cell Signal Transduction
• BME 5902 Cellular Neurophysiology
• Biol 404 Laboratory of Neurophysiology
• Biol 4071 Developmental Biology
• Biol 4580 Principles of Human Anatomy & Development
• Biol 4810 General Biochemistry
• Biol 4820 General Biochemistry II
• Biol 5068 Fundamentals of Molecular Cell Biology
• Biol 5319 Molecular Foundations of Medicine
• Biol 5053 Immunobiology (4 units)
• Biol 5146 Principles and Applications of Biological Imaging
• Biol/Chem 5147 Contrast Agents for Biological Imaging
• Biol 5224 Molecular, Cell, and Organ Systems
• Biol 5285 Fundamentals of Mammalian Genetics
• Biol 5352 Developmental Biology
• Biol 548 Nucleic Acids and Protein Biosynthesis
• Biol 5488 Genomics
• Biol 5571 Cellular Neurobiology (4 units)
• Biol 5651 Neural Systems
• Biol 5663 Neurobiology of Disease
Approved Mathematics Courses — Any graduate-level coursewithin the Department of Mathematics and Statistics is approved.
Research RotationsDuring their first year, students are required to register for andcomplete at least one research rotation (3 units) with programfaculty mentors. The research rotations allow students to sampledifferent research projects and laboratory working environmentsbefore selecting the group in which they will carry out the PhDdissertation research.
A rotation will be chosen in consultation with program faculty andmust be mutually agreeable to both the student and the mentor.At the completion of each rotation, the student must submit tothe mentor and director a written report approved by the mentor.
69
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Qualifying ExamA written qualifying exam will be administered during thespring of the student's second year of graduate school. Theexamining committee, which will develop and grade the exam,will consist of three members of the Imaging Science PhDProgram Committee. The director of the graduate program willapprove the committee, the members of which will be suggestedby the thesis adviser.
Students will choose three out of the following four exam topics:
• Mathematics of Imaging Science
• Imaging Physics & Image Formation Methods
• Image Analysis & Data-Driven Imaging
• Theoretical Image Science
Finding a Thesis Research MentorBecause the PhD is a research degree, the student is expectedto become integrated within a research group. By the end of thefirst year of study, students should have found a thesis adviserwho will oversee their PhD research and assume financialresponsibility for their stipend, tuition, health insurance andstudent fees. The thesis adviser must be a faculty member onthe Imaging Science PhD Program Committee with the title ofprofessor, associate professor or assistant professor. Failureto find a research adviser by May 1 will result in the studentbeing placed on probation that can last until August 31. Duringthat time, the student must continue to seek a research adviser.Failure to find a research adviser by August 31 will lead todismissal from the PhD program and termination of funding.
The student's admission application should include transcriptsand letters of evaluation. The Graduate Admissions Committeewill review all applications and construct a ranked list ofcandidates. This list and the associated application packages willbe forwarded to the dean of the Graduate School for approvalfor admission to the program. Following approval by the dean ofthe Graduate School and the director of the graduate program,the chair of the Graduate Admissions Committee will notify thestudents who have been accepted by letter.
Research Presentation/Thesis ProposalBefore the end of their third year, the student will give an oralpresentation of their proposed PhD project — with the necessarybackground to support it — to the Thesis Committee. Thiscommittee will consist of six members; four members must bemembers of the Imaging Science PhD Program Committee.At least one committee member must be chosen from outsideof the Imaging Science PhD Program Committee, and thisindividual must be a tenured or tenure-track faculty member atWashington University. The committee will be chaired by thePhD mentor. At least two weeks prior to the presentation, thestudent will present to the Thesis Examination Committee a
written document outlining the research background, proposedprocedures, preliminary results and plans for completion. Therequired document will typically be between 15 and 30 pages inlength, and it must contain a comprehensive bibliography.
The student will be placed on probation if they fail to pass theirThesis Proposal by the sixth semester. The student will be givena second opportunity to pass the exam during their seventhsemester. If the student passes the second exam and meets theother program requirements (e.g., grades), they may continuethe program without prejudice. If the student fails the exam asecond time, they will be terminated from the PhD program.
DissertationThe student will prepare a written dissertation for examination bythe Thesis Examination Committee and defend the dissertationbefore this committee. Should a member of this committee beunable to participate, the director of the graduate program, inconsultation with the PhD mentor, will choose a replacement.If the committee members feel that the dissertation hasdeficiencies, they may recommend that the candidate addressthem and send the revised dissertation to the committeemembers for approval. The committee may also recommendthat the candidate present another oral defense of the modifiedwork. The Thesis Committee will inform the director of thegraduate program, and they will warn the student in writingthat the student must submit a revised dissertation and passthe oral defense (if recommended) in order to complete thePhD program. If, after revision and reexamination, the ThesisCommittee still finds deficiencies and cannot reach unanimousagreement to approve the dissertation, the Graduate School'sPolicy on Dissenting Votes will apply.
Teaching RequirementsStudents in the PhD program will receive formal pedagogicaltraining by attending a minimum of two Teaching Workshopsoffered by the Washington University Teaching Center (https://teachingcenter.wustl.edu/events/). They will be expected to fulfillthe teaching requirements of their designated administrativehome department. The teaching requirements must becompleted before the student submits their doctoral dissertationto the Graduate School.
CoursesFor information regarding courses, please refer to the DegreeRequirements (p. 68) section of this page.
Materials Science &EngineeringThe Institute of Materials Science & Engineering (IMSE)at Washington University in St. Louis offers a unique,interdisciplinary PhD in Materials Science & Engineering thatcrosses traditional departmental and school boundaries. Thefield of materials science and engineering focuses on the study,
70
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
development and application of new materials with desirableproperties, with the goal of enabling new products and superiorperformance regimes. Disciplines in the physical sciences (e.g.,chemistry, physics) frequently play a central role in developingthe fundamental knowledge that is needed to design materialsfor a variety of engineering applications (e.g., mechanicalengineering, electrical engineering, biomedical engineering).Building on training that spans from fundamental to appliedsciences, materials scientists and engineers integrate thisfundamental knowledge in order to develop new materials andmatch them with appropriate technological needs.
The IMSE is well positioned to address the needs of a studentseeking a truly interdisciplinary experience. The IMSE bringstogether a diverse group of faculty from departments in Arts &Sciences, the McKelvey School of Engineering, and the Schoolof Medicine. The IMSE also oversees shared research andinstrument facilities, develops partnerships with industry andnational facilities, and facilitates outreach activities.
Current focused areas of research and advanced graduateeducation within the IMSE include the following:
• Biomedical, bio-derived and bio-inspired materials
• Materials for energy generation, harvesting and storage
• Materials for environmental technologies and sustainability
• Materials for sensors and imaging
• Nanomaterials and glasses
• Optoelectronic, low-dimensional, and quantum materials
Contact: Beth Gartin
Phone: 314-935-7191
Email: [email protected]
Website: http://imse.wustl.edu
FacultyDirectorKatharine M. Flores (https://engineering.wustl.edu/faculty/Katharine-Flores.html)Professor - Mechanical Engineering & Materials SciencePhD, Stanford University
Professor Flores' primary research interest is the mechanicalbehavior of structural materials, with particular emphasis onunderstanding structure-processing-property relationships in bulkmetallic glasses and their composites.
ProfessorsRichard Axelbaum (https://engineering.wustl.edu/faculty/Richard-Axelbaum.html)The Stifel & Quinette Jens Professor of EnvironmentalEngineering SciencePhD, University of California, Davis
Rich Axelbaum studies combustion phenomena, rangingfrom oxy-coal combustion to flame synthesis of nanotubes.His studies of fossil fuel combustion focus on understandingthe formation of pollutants, such as soot, and then using thisunderstanding to develop novel approaches to eliminatingthem. Recently, his efforts have been focused on addressingglobal concerns over carbon dioxide emissions by developingapproaches to carbon capture and storage.
Pratim Biswas (https://engineering.wustl.edu/faculty/Pratim-Biswas.html)Lucy & Stanley Lopata Professor & Department Chair - Energy,Environmental & Chemical EngineeringPhD, California Institute of Technology
Professor Biswas's research interests include aerosolscience and engineering; nanoparticle technology; air qualityengineering; environmentally benign energy production;combustion; materials processing for environmentaltechnologies; environmentally benign processing; environmentalnanotechnology; and the thermal sciences.
William Buhro (https://chemistry.wustl.edu/people/william-buhro/)George E. Pake Professor in Arts & Sciences and DepartmentChair - ChemistryPhD, University of California, Los Angeles
Professor Buhro's areas of interest include synthetic inorganicand materials chemistry; optical properties of semiconductornanocrystals, including quantum wires, belts and platelets;metallic nanoparticles; magic-size nanoclusters; nanoparticlegrowth mechanisms; and charge and energy transport innanowires.
Shantanu Chakrabartty (https://engineering.wustl.edu/Profiles/Pages/Shantanu-Chakrabartty.aspx)Professor - Electrical & Systems EngineeringPhD, Johns Hopkins University
Shantanu Chakrabartty's research explores new frontiers inunconventional analog computing techniques using silicon andhybrid substrates. His objective is to approach the fundamentallimits of energy efficiency, sensing and resolution by exploitingcomputational and adaptation primitives inherent in the physicsof devices, sensors and the underlying noise processes.Professor Chakrabartty is using these novel techniques todesign self-powered computing devices, analog processors andinstrumentation with applications in biomedical and structuralengineering.
Guy Genin (https://engineering.wustl.edu/Profiles/Pages/Guy-Genin.aspx)Harold and Kathleen Faught Professor of MechanicalEngineeringPhD, Harvard University
71
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Guy Genin studies interfaces and adhesion in nature,physiology, and engineering. His current research focuses oninterfaces between tissues at the attachment of tendon to bone,between cells in cardiac fibrosis, and between protein structuresat the periphery of plant and animal cells.
Jianjun Guan (https://engineering.wustl.edu/faculty/Jianjun-Guan.html)Professor - Mechanical Engineering and Materials SciencePhD, Zhejiang University
Professor Guan’s research interests are in biomimeticbiomaterials synthesis and scaffold fabrication; bioinspiredmodification of biomaterials; injectable and highly flexiblehydrogels; bioimageable polymers for MRI and EPR imaging andoxygen sensing; mathematical modeling of scaffold structuraland mechanical properties; stem cell differentiation; neural stemcell transplantation for brain tissue regeneration; and bone andcardiovascular tissue engineering.
Sophia E. Hayes (https://chemistry.wustl.edu/people/sophia-e-hayes/)Professor - ChemistryPhD, University of California, Santa Barbara
Professor Hayes studies physical inorganic chemistry; materialschemistry; solid-state NMR; magnetic resonance; optically-pumped NMR (OPNMR); semiconductors; quantum wells;magneto-optical spectroscopy; quadrupolar NMR of thin filmsand tridecameric metal hydroxide clusters and thin films; carboncapture, utilization and storage (CCUS); CO2 geosequestration;CO2 capture; in situ NMR; and metal carbonate formation.
Kenneth F. Kelton (https://physics.wustl.edu/people/kenneth-f-kelton/)Arthur Holly Compton Professor of Arts & Sciences - PhysicsPhD, Harvard University
Professor Kelton is involved in the study and production oftitanium-based quasicrystals and related phases; fundamentalinvestigations of time-dependent nucleation processes; modelingof oxygen precipitation in single crystal silicon; structure ofamorphous materials; relation between structure and nucleationbarrier; and hydrogen storage in quasicrystals.
Harold Li (https://radonc.wustl.edu/faculty/harold-li/)PhD, Friedrich-Alexander-Universität Erlangen-Nürnberg,GermanyAssociate Professor - Radiation Oncology
Harold Li's research lab, funded by the NIH since 2008,develops high-resolution dosimetry systems for radiation therapydosimetry. In addition, he leads the MRgRT group in developingboth experimental and computational methods for radiationtherapy patient dosimetry subject to a permanent magnetic field.
Vijay Ramani (https://engineering.wustl.edu/Profiles/Pages/Vijay-Ramani.aspx)Roma B. & Raymond H. Wittcoff Distinguished UniversityProfessor of Environment & EnergyPhD, University of Connecticut
Vijay Ramani's research interests lie at the confluence ofelectrochemical engineering, materials science, and renewableand sustainable energy technologies. The National ScienceFoundation, Office of Naval Research, and Department ofEnergy have funded his research, with mechanisms includingan NSF CAREER award (2009) and an ONR Young InvestigatorAward (ONR-YIP; 2010).
Srikanth Singamaneni (https://engineering.wustl.edu/Profiles/Pages/Srikanth-Singamaneni.aspx)Professor - Mechanical Engineering & Materials SciencePhD, Georgia Institute of Technology
Professor Singamaneni's research interests include plasmonicengineering in nanomedicine (in vitro biosensing for point-of-care diagnostics, molecular bioimaging, nanotherapeutics);photovoltaics (plasmonically enhanced photovoltaic devices);surface-enhanced Raman scattering (SERS)-based chemicalsensors, with particular emphasis on the design and fabricationof unconventional and highly efficient SERS substrates;hierarchical organic/inorganic nanohybrids as multifunctionalmaterials; bioinspired structural and functional materials; polymersurfaces and interfaces; responsive and adaptive materials; andscanning probe microscopy and surface force spectroscopy ofsoft and biological materials.
Lan Yang (https://engineering.wustl.edu/faculty/Lan-Yang.html)Edwin H. & Florence G. Skinner Professor - Electrical & SystemsEngineeringPhD, California Institute of Technology
Professor Yang's research interests are fabrication,characterization, and fundamental understanding of advancednano-/micro-photonic devices with outstanding optical properties.Currently, her group focuses on the silicon-chip based ultra-high-quality micro-resonators made from spin-on glass. The spin-onglass is a kind of glass obtained by curing a special liquid usingsol gel or wet chemical synthesis to form a layer of glass. Themain advantage of the spin-on glass is the easy tailoring of thenano-/micro-structure of the glass by controlled variation in theprecursor solutions. It enables them to fabricate various nano-/micro-photonic devices from advanced materials with desiredproperties.
Associate ProfessorsPhilip Skemer (https://eps.wustl.edu/people/philip-skemer/)Associate Professor - Earth and Planetary Sciences
Professor Skemer's research interests include mantledeformation, the formation and the dynamics of plateboundaries, and the interpretation of seismological data.The underlying motivation for his research is to understand
72
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
the remarkable phenomenon of plate tectonics and itsvariability among the terrestrial planets. Although primarilyan experimentalist, his research uses the microstructures ofnaturally deformed rocks to infer the importance of specificdeformation processes in Earth, and he then developsexperiments to investigate the sensitivity of these processes toa range of deformation conditions. From these experiments, onecan make predictions about rock deformation at conditions orlocations that are inaccessible to direct observation.
Assistant ProfessorsDamena Agonafer (https://engineering.wustl.edu/faculty/Damena-Agonafer.html)Assistant Professor - Mechanical Engineering & MaterialsSciencePhD, University of Illinois
Professor Agonafer's research interests include the areas ofphase routing strategies for chemical separation and phasechange heat transfer processes as well as electrochemicalstorage applications. His research interest is at the intersectionof thermal-fluid sciences, electrokinetics and interfacial transportphenomena, and renewable energy. His goal is to bringtransformational changes in the areas related to electrochemicalenergy storage, cooling of high-powered micro and powerelectronics, and water desalination by tuning and controllingsolid-liquid-vapor interactions at micro/nano length scales.
Peng Bai (https://engineering.wustl.edu/faculty/Peng-Bai.html)Assistant Professor - Energy, Environmental & ChemicalEngineeringPhD, Tsinghua University, Beijing
Professor Bai's research focuses on the development ofnext-generation batteries. Knowledge and tools developed inthe Bai Group also apply to and benefit the design of otherelectrochemical energy systems, like supercapacitors and fuelcells.
Mikhail Y. Berezin (http://dbbs.wustl.edu/faculty/Pages/faculty_bio.aspx?SID=6263)Assistant Professor - RadiologyPhD, Moscow Institute of Oil and Gas/Institute of OrganicChemistry
Professor Berezin's research interests lie in the investigationand application of molecular excited states and their reactionsfor medical imaging and clinical treatment. Excited states arethe cornerstone of a variety of chemical, physical and biologicalphenomena. The ability to probe, investigate and control excitedstates is one of the largest achievements of modern science.The lab focuses on the development of novel, optically activeprobes ranging from small molecules to nanoparticles as well asthe development of optical instrumentation for spectroscopy andimaging and their applications in medicine.
Rajan Chakrabarty (https://engineering.wustl.edu/Profiles/Pages/Rajan-Chakrabarty.aspx)Assistant Professor - Energy, Environmental & ChemicalEngineeringPhD, University of Nevada, Reno
Rajan Chakrabarty's research focuses on two distinct themes:(1) investigating the role of atmospheric aerosols in earth'senergy balance using novel instrumentation, diagnostictechniques and numerical models; and (2) understanding aerosolformation in combustion systems toward the synthesis of high-porosity and surface-area materials for energy applications.
Julio D'Arcy (https://chemistry.wustl.edu/people/julio-m-darcy/)Assistant Professor - ChemistryPhD, University of California, Los Angeles
The overarching goals of the D'Arcy laboratory are to discoverand apply novel functional nanostructured organic and inorganicmaterials utilizing universal synthetic chemistry protocols thatcontrol chemical structure, nanoscale morphology, and intrinsicproperties. We are interested in capacitive and pseudocapacitivenanostructured materials such as conducting polymers, metaloxides, and carbon allotropes possessing enhanced chemicaland physical properties (i.e., charge carrier transport, iontransport, surface area, thermal and mechanical stability).Our concerted material discovery process is a multiprongedapproach; organic and inorganic nanostructured materials aresynthesized via solution processing, electrochemistry, vaporphase deposition, and combinations thereof. Alternatively, wealso develop self-assembly techniques that result in tailoredmaterials.
Marcus Foston (https://engineering.wustl.edu/faculty/Marcus-Foston.html)Assistant Professor - Energy, Environmental & ChemicalEngineeringPhD, Georgia Institute of Technology
Professor Foston's research objective is to create a top-tier, world-recognized research program in the research andeducation of emerging technologies for the exploitation oflignocellulosic biomass — in particular, the lignin fraction ofbiomass — as a sustainable source for energy, chemicals andmaterials production.
Erik Henriksen (https://physics.wustl.edu/people/erik-henriksen/)Assistant Professor - PhysicsPhD, Columbia University
We are an experimental condensed matter research lab withinterests primarily in the quantum electronic properties ofgraphene and other novel two-dimensional systems. We utilizestate-of-the-art nanofabrication techniques in combination withmeasurements made at low temperatures and high magneticfields to explore both the fundamental electronic structures andemergent quantum phenomena of low-dimensional materials.
73
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Nathaniel Huebsch (https://imse.wustl.edu/people/nathaniel-huebsch/)Assistant Professor - Biomedical Engineering
Professor Huebsch's research focus is in basic and translationalstem cell mechanobiology, with specific focus on hydrogelsto control cell-mediated tissue repair and 3D heart-on-a-chipmodels derived from human-induced pluripotent stem cells.
Matthew Lew (https://engineering.wustl.edu/faculty/Matthew-Lew.html)Assistant Professor - Electrical & Systems Engineering
Professor Lew and his students build advanced imaging systemsto study biological and chemical systems at the nanoscale,leveraging innovations in applied optics, signal and imageprocessing, design optimization, and physical chemistry. Theiradvanced nanoscopes (microscopes with nanometer resolution)visualize the activity of individual molecular machines inside andoutside living cells. Examples of new technologies developedin the Lew Lab include (1) using tiny fluorescent molecules assensors that can detect amyloid proteins; (2) designing new"lenses" to create imaging systems that can visualize howmolecules move and tumble; and (3) new imaging software thatminimizes artifacts in super-resolution images.
Mark Meacham (https://engineering.wustl.edu/faculty/Mark-Meacham.html)Assistant Professor - Mechanical Engineering & MaterialsSciencePhD, Georgia Institute of Technology
Mark Meacham's research interests include microfluidics, micro-electromechanical systems (MEMS), and associated transportphenomena, with application to the design, development, andtesting of novel energy systems and life sciences tools, fromscalable micro-/nano-technologies for improved heat and massexchangers to MEMS-based tools for the manipulation andinvestigation of cellular processes. He is also interested inthe behavior of jets and/or droplets of complex fluids duringejection from microscopic orifices, which is critical to applicationsas disparate as biological sample preparation and additivemanufacturing.
Rohan Mishra (https://engineering.wustl.edu/faculty/Rohan-Mishra.html)Assistant Professor - Mechanical Engineering & MaterialsSciencePhD, Ohio State University
In his lab at Washington University, Professor Mishra plans toidentify and develop a quantitative measure of structure-propertycorrelations in materials (e.g., epitaxial thin films and materialswith reduced dimensionality) using a synergistic combination ofscanning transmission electron microscopy and atomic-scaletheory to create the rational design of materials with propertiestailored for electronic, magnetic, optical and energy applications.
Ryan Ogliore (https://physics.wustl.edu/people/ryan-ogliore/)Assistant Professor - PhysicsPhD, California Institute of Technology
Professor Ogliore's research group uses microanalyticaltechniques to study extraterrestrial materials in order to betterunderstand the formation and evolution of our solar system aswell as other stars.
Jai Rudra (https://engineering.wustl.edu/faculty/Jai-Rudra.html)Assistant Professor - Biomedical Engineering
Jai Rudra's lab is interested in the development of nanoscalebiomaterials such as nanofibers, nanoparticles, virus-likeparticles, and hydrogels for engaging the immune systemto induce protective antibody and cell-mediated immuneresponses against diseases such as tuberculosis, melanomaand flavivirus infections (i.e., West Nile and Zika). He is alsoinvestigating the development of vaccines against drugs ofaddiction such as cocaine. Biomaterials immunoengineering isa multidisciplinary field that lies at the intersection of materialsscience, chemistry, immunology and vaccinology. ProfessorRudra's lab collaborates with virologists, immunologists, andclinicians not only to develop synthetic vaccination platforms butalso to understand how biomaterials interact with the immunesystem and continue to develop novel materials and creativetools to tackle multidisciplinary problems in vaccine developmentand immunotherapy.
Bryce Sadtler (https://chemistry.wustl.edu/people/bryce-sadtler/)Assistant Professor - ChemistryPhD, University of California, Berkeley
The Sadtler research group seeks to understand and controlstructure-property relationships in adaptive, mesostructuredmaterials. Through hierarchical design of the atomiccomposition, nanoscale morphology, and mesoscaleorganization of the individual components, we can directthe emergent chemical reactivity and physical propertiesof these complex systems. Research projects combinesolution phase growth techniques to synthesize inorganicmaterials, external fields to control the growth and assemblyof mesoscale architectures, and super-resolution imagingto provide spatiotemporal maps of the optical response andphotocatalytic activity during the morphological evolution of thesestructures. Knowledge gained from these fundamental studieswill be used to create functional materials, including plasmonicsubstrates that enhance absorption in thin-film semiconductors,mesostructured photocatalysts for solar fuels generation, andchemical sensors based on self-assembled photonic structures.
Simon Tang (http://www.orthoresearch.wustl.edu/content/Laboratories/3043/Simon-Tang/Tang-Lab/Overview.aspx)Assistant Professor - OrthopaedicsPhD, Rensselaer Polytechnic Institute
74
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
With the overall theme of understanding the biological regulationof skeletal matrix quality, our research group integratesengineering and biology approaches for (1) understandingthe effect of disease mechanisms on the structure-functionrelationships of skeletal tissues and (2) developing translatabletherapeutic and regenerative strategies for these diseases. Theinvestigation of these scientific questions includes the applicationof finite element analyses, multiscale tissue mechanics, and thefunctional imaging of skeletal tissues for regenerative medicinewith in vitro and in vivo biological systems.
Elijah Thimsen (https://engineering.wustl.edu/faculty/Elijah-Thimsen.html)Assistant Professor - Energy, Environmental & ChemicalEngineeringPhD, Washington University
The Interface Research Group focuses on advanced gas-phasesynthesis of nanomaterials for energy applications. We arecurrently exploring nonthermal plasma synthesis and atomiclayer deposition. The goal is to discover and then understanduseful interfacial phenomena. Examples of applications that weare currently interested in include transparent conducting oxides,photovoltaics, lithium-sulfur batteries, and coatings for high-temperature combustion.
Chuan Wang (https://engineering.wustl.edu/faculty/Chuan-Wang.html)Assistant Professor - Electrical and Systems Engineering
Chuan Wang's focus areas of research include (1) flexibleand stretchable electronics for displaying, sensing and energyharvesting applications; (2) low-cost additive manufacturing offlexible and stretchable electronics using inkjet printing; and (3)high-performance nanoelectronics and optoelectronics using 2Dsemiconductors.
Patricia Weisensee (https://engineering.wustl.edu/faculty/Patricia-Weisensee.html)Assistant Professor - Mechanical Engineering & MaterialsSciencePhD, University of Illinois at Urbana-Champaign
Patricia Weisensee's work focuses on the interaction of liquidsand micro- and nano-structured solids. Her research is bothfundamental and applied and spans a wide range of applicationsin the fluid and thermal sciences, from droplet impact over phasechange heat transfer to electronics cooling.
Degree RequirementsInterdisciplinary PhD in MaterialsScience & EngineeringTo earn a PhD degree, students must complete the GraduateSchool requirements, along with specific program requirements.Courses include the following:
• Four IMSE Core Courses (12 credits)
Code Title Units
MEMS 5610 Quantitative Materials Science &Engineering
3
Physics 537 Kinetics of Materials 3
EECE 502 Advanced Thermodynamics in EECE 3
Chem 465 Solid-State and Materials Chemistry 3
or Physics 472 Solid State Physics
Total Units 12
• IMSE 500 First-Year Research Rotation (3 credits)
• Three courses (9 credits) from a preapproved list ofMaterials Science & Engineering electives
• A minimum of 12 credits of graduate-level technical electivecourses in mathematics or any science or engineeringdepartment, to reach a total of at least 36 academic credits
• A maximum of 3 credits of IMSE 502 Independent Studywill be permitted toward the free electives requirement.
• A maximum of 3 credits of IMSE 505 Material ScienceJournal Club will be permitted toward this requirement.
• Any 400-level courses not included on the preapprovedlist of Materials Science & Engineering electives must beapproved by the Graduate Studies Committee.
• A maximum of 12 credits of 400-level courses maybe applied toward the required 36 academic credits.Undergraduate-only courses (below the 400 level) aregenerally not permitted by the Graduate School and may notbe used to fulfill this requirement.
• IMSE 501 IMSE Graduate Seminar every semester of full-time enrollment
• 18 to 36 credits of IMSE 600 Doctoral Research (Studentsmust identify an IMSE faculty member willing and able tosupport their thesis research on a materials-related topic.)
• Students must maintain a grade-point average of at least3.0 for all graded courses and have no more than one gradeof B- or below in a core course or a Materials Science &Engineering elective.
Additional program requirements include the following:
• Complete research ethics training by the end of the thirdsemester
• Successfully complete teaching requirements• Attend two or more Teaching Center workshops
• Complete 15 units of mentored teaching experience
• Pass the IMSE Qualifying Examination (oral and writtencomponents)
• Maintain satisfactory research progress on a topic inmaterials science, as determined by the thesis adviser andthe mentoring committee
75
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
• Successfully complete the thesis proposal and presentation,with approval from the thesis examination committee
• Successfully complete and defend a PhD dissertation, withfinal approval from the thesis examination committee
Failure to meet these requirements will result in dismissalfrom the program.
Course PlanYear 1Fall Semester (13 credits)
• Advanced Thermodynamics in EECE (EECE 502)
• Quantitative Materials Science & Engineering (MEMS 5610)
• IMSE First-Year Research Rotation (IMSE 500)
• IMSE Graduate Seminar (IMSE 501)
• Elective (optional)
Spring Semester (13 credits)
• Solid-State and Materials Chemistry (Chem 465)
• Kinetics of Materials (Physics 537)
• IMSE First-Year Research Rotation (IMSE 500)
• IMSE Graduate Seminar (IMSE 501)
• Elective (optional)
Summer
• Begin thesis research
• Prepare for IMSE Qualifying Examination (August)• Written document and oral presentation on research
rotation
• Oral examination on fundamentals from core courses
Years 2 and Beyond• Electives (discuss with PhD adviser)
• IMSE Graduate Seminar (IMSE 501)
• Doctoral Research (IMSE 600)
• Teaching requirements• Attend two or more Teaching Center workshops
• Complete 15 units of mentored teaching experience
• Regular meetings (at least twice per year) with the facultymentoring committee
• Thesis proposal and presentation (fifth semester)
• Dissertation and oral defense
Mechanical Engineering &Materials ScienceThe Department of Mechanical Engineering & MaterialsScience offers both PhD and DSc programs in MechanicalEngineering and Aerospace Engineering as well as a DSc inMaterials Science. The department's research strengths include
biomechanics and biotechnology, energy and sustainability,advanced materials and aerospace systems. The doctoralstudent works in conjunction with their adviser to design theprogram of study and the research project. The dissertation isdefended at the end of the research effort. A typical time to PhDafter the completion of the undergraduate engineering degreeis four to five years, but the length of the program may vary,depending on the individual and the area of study.
The Department of Mechanical Engineering & Materials Scienceoffers an MS degree in either Mechanical Engineering,Aerospace Engineering, or Materials Science andEngineering. The department also offers a Master ofEngineering in Mechanical Engineering for those comingfrom fields closely related to mechanical engineering. The MSdegrees can be completed using either a course option or athesis option. For the thesis option, the student will work closelywith a faculty adviser on the thesis project. A typical time for thecompletion of an MS or MEng degree is one and one-half totwo years, with the thesis option usually taking longer than thecourse option.
Faculty contact for the PhD program: Jessica Wagenseil(https://engineering.wustl.edu/Profiles/Pages/Jessica-Wagenseil.aspx)
Faculty contact for the MS and DSc programs: David Peters(https://mems.wustl.edu/faculty/Pages/default.aspx?bio=92)
Faculty contact for the MS in Materials Science &Engineering: Katharine Flores (https://engineering.wustl.edu/Profiles/Pages/Kathy-Flores.aspx)
Website: https://mems.wustl.edu/academics/graduate/index.html (https://mems.wustl.edu/academics/graduate/)
FacultyChairPhilip V. Bayly (https://engineering.wustl.edu/faculty/Philip-Bayly.html)The Lee Hunter Distinguished Professor of MechanicalEngineeringPhD, Duke UniversityNonlinear dynamics, vibrations, biomechanics
Associate ChairsKatharine M. Flores (Materials Science) (https://engineering.wustl.edu/faculty/Katharine-Flores.html)PhD, Stanford UniversityMechanical behavior of structural materials
76
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
David A. Peters (Mechanical Engineering) (https://engineering.wustl.edu/faculty/David-Peters.html)McDonnell Douglas Professor of EngineeringPhD, Stanford UniversityAeroelasticity, vibrations, helicopter dynamics and aerodynamics
Endowed ProfessorsRamesh K. Agarwal (https://engineering.wustl.edu/faculty/Ramesh-Agarwal.html)William Palm Professor of EngineeringPhD, Stanford UniversityComputational fluid dynamics and computational physics
Guy M. Genin (https://engineering.wustl.edu/faculty/Guy-Genin.html)Harold & Kathleen Faught Professor of Mechanical EngineeringPhD, Harvard UniversitySolid mechanics, fracture mechanics
Mark J. Jakiela (https://engineering.wustl.edu/faculty/Mark-Jakiela.html)Lee Hunter Professor of Mechanical DesignPhD, University of MichiganMechanical design, design for manufacturing, optimization,evolutionary computation
Shankar M.L. Sastry (https://engineering.wustl.edu/faculty/Shankar-Sastry.html)Christopher I. Byrnes Professor of EngineeringPhD, University of TorontoMaterials science, physical metallurgy
Srikanth Singamaneni (https://engineering.wustl.edu/faculty/Srikanth-Singamaneni.html)Lilyan and E. Lisle Hughes Professor of Mechanical EngineeringPhD, Georgia Institute of TechnologyMicrostructures of cross-linked polymers
ProfessorJianjun Guan (https://engineering.wustl.edu/faculty/Jianjun-Guan.html)PhD, Zhejiang UniversityBiomimetic biomaterials synthesis and scaffold fabrication
Associate ProfessorsSpencer P. Lake (https://engineering.wustl.edu/faculty/Spencer-Lake.html)PhD, University of PennsylvaniaSoft tissue biomechanics
Jessica E. Wagenseil (https://engineering.wustl.edu/faculty/Jessica-Wagenseil.html)DSc, Washington UniversityArterial biomechanics
Assistant ProfessorsDamena D. Agonafer (https://engineering.wustl.edu/faculty/Damena-Agonafer.html)PhD, University of Illinois at Urbana-ChampaignComputational fluid dynamics and computational physics
Matthew R. Bersi (https://engineering.wustl.edu/faculty/Matthew-Bersi.html)PhD, Yale UniversityBiomedical engineering
J. Mark Meacham (https://engineering.wustl.edu/faculty/Mark-Meacham.html)PhD, Georgia Institute of TechnologyMicro-/nanotechnologies for thermal systems and the lifesciences
Rohan Mishra (https://engineering.wustl.edu/faculty/Rohan-Mishra.html)PhD, Ohio State UniversityComputational materials science
Amit Pathak (https://engineering.wustl.edu/faculty/Amit-Pathak.html)PhD, University of California, Santa BarbaraCellular biomechanics
Patricia B. Weisensee (https://engineering.wustl.edu/faculty/Patricia-Weisensee.html)PhD, University of Illinois at Urbana-ChampaignThermal fluids
Professors of the PracticeHarold J. Brandon (https://engineering.wustl.edu/faculty/Harold-Brandon.html)DSc, Washington UniversityEnergetics, thermal systems
Swami Karunamoorthy (https://engineering.wustl.edu/faculty/Swami-Karunamoorthy.html)DSc, Washington UniversityHelicopter dynamics, engineering education
Teaching ProfessorEmily J. Boyd (https://engineering.wustl.edu/faculty/Emily-Boyd.html)PhD, University of Texas at AustinThermofluids
77
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Joint FacultyRichard L. Axelbaum (Energy, Environmental & ChemicalEngineering) (https://engineering.wustl.edu/faculty/Richard-Axelbaum.html)Stifel & Quinette Jens Professor of Environmental EngineeringSciencePhD, University of California, DavisCombustion, nanomaterials
Elliot L. Elson (Biochemistry & Molecular Biophysics) (http://dbbs.wustl.edu/faculty/Pages/faculty_bio.aspx?SID=188)Professor Emeritus of Biochemistry & Molecular BiophysicsPhD, Stanford UniversityBiochemistry and molecular biophysics
Michael D. Harris (Physical Therapy, Orthopaedic Surgery,and Mechanical Engineering & Materials Science) (https://pt.wustl.edu/people/michael-d-harris-phd/)PhD, University of UtahWhole body and joint-level orthopaedic biomechanics
Kenneth F. Kelton (Physics) (https://physics.wustl.edu/people/kenneth-f-kelton/)Arthur Holly Compton Professor of Arts & SciencesPhD, Harvard UniversityStudy and production of titanium-based quasicrystals and relatedphases
Eric C. Leuthardt (Neurological Surgery and BiomedicalEngineering) (http://www.neurosurgery.wustl.edu/patient-care/find-a-physician/clinical-faculty/eric-c-leuthardt-md-250/)MD, University of Pennsylvania School of MedicineNeurological surgery
Lori Setton (Biomedical Engineering) (https://engineering.wustl.edu/faculty/Lori-Setton.html)Lucy and Stanley Lopata Distinguished Professor of BiomedicalEngineeringPhD, Columbia UniversityBiomechanics for local drug delivery; tissue regeneration specificto the knee joints and spine
Matthew J. Silva (Orthopaedic Surgery) (http://www.orthoresearch.wustl.edu/content/Laboratories/2963/Matthew-Silva/Silva-Lab/Overview.aspx)Julia and Walter R. Peterson Orthopaedic Research ProfessorPhD, Massachusetts Institute of TechnologyBiomechanics of age-related fractures and osteoporosis
Simon Tang (Orthopaedic Surgery and Biomedical Engineering)(http://www.orthoresearch.wustl.edu/content/Laboratories/3043/Simon-Tang/Tang-Lab/Overview.aspx)PhD, Rensselaer Polytechnic InstituteBiological mechanisms
Senior ProfessorsPhillip L. GouldPhD, Northwestern UniversityStructural analysis and design, shell analysis and design,biomechanical engineering
Kenneth L. Jerina (https://engineering.wustl.edu/faculty/Ken-Jerina.html)DSc, Washington UniversityMaterials, design, solid mechanics, fatigue and fracture
Salvatore P. SuteraPhD, California Institute of TechnologyViscous flow, biorheology
Barna A. SzaboPhD, State University of New York at BuffaloNumerical simulation of mechanical systems, finite-elementmethods
LecturersSharniece Holland (https://engineering.wustl.edu/faculty/Sharniece-Holland.html)PhD, University of AlabamaAdditive manufacturing and mathematics
Jeffery Krampf (https://engineering.wustl.edu/faculty/Jeff-Krampf.html)MS, Washington UniversityFluid mechanics, modeling, and design
J. Jackson Potter (https://engineering.wustl.edu/faculty/Jackson-Potter.html)PhD, Georgia Institute of TechnologySenior design
H. Shaun Sellers (https://engineering.wustl.edu/faculty/Shaun-Sellers.html)PhD, Johns Hopkins UniversityMechanics and materials
Louis G. Woodhams (https://engineering.wustl.edu/faculty/Louis-Woodhams.html)BS, University of Missouri-St. LouisComputer-aided design
Senior Research AssociateRuth J. Okamoto (https://engineering.wustl.edu/faculty/Ruth-Okamoto.html)DSc, Washington UniversityBiomechanics, solid mechanics
Adjunct InstructorsRicardo L. ActisDSc, Washington UniversityFinite element analysis, numerical simulation, aircraft structures
78
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Robert G. BecnelMS, Washington UniversityFE review
John D. BiggsMEng, Washington UniversityThermal science
Andrew W. CaryPhD, University of MichiganComputational fluid dynamics
Dan E. DriemeyerPhD, University of IllinoisThermoscience
Richard S. DyerPhD, Washington UniversityPropulsion, thermodynamics, fluids
Timothy W. JacksonPhD, University of WashingtonStructural analysis and dynamics
Richard R. JanisMS, Washington UniversityBuilding environmental systems
Dale M. PittDSc, Washington UniversityAeroelasticity
Gary D. RenieriPhD, Virginia Polytechnic Institute and State UniversityStructural applications, composite materials
Krishnan K. SankaranPhD, Massachusetts Institute of TechnologyMetallic materials
Michael C. WendlDSc, Washington UniversityMathematical theory and computational methods in biology andengineering
Laboratory and Design SpecialistChiamaka Asinugo (https://engineering.wustl.edu/faculty/Chiamaka-Asinugo.html)MS, Washington UniversityMechanical engineering design
Professor EmeritusWallace B. Diboll Jr.MSME, Rensselaer Polytechnic InstituteDynamics, vibrations, engineering design
Degree RequirementsPlease visit the following pages for more information aboutMechanical Engineering & Materials Science graduate programs:
• Doctoral Degrees (p. 86)
• Master of Science in Mechanical Engineering (MSME)(p. 86)
• Master of Science in Aerospace Engineering (MSAE)(p. 87)
• Master of Science (MS) in Materials Science andEngineering (p. 88)
• Master of Engineering (MEng) in Mechanical Engineering(p. 88)
CoursesVisit online course listings to view semester offerings forE37 MEMS (https://courses.wustl.edu/CourseInfo.aspx?sch=E&dept=E37&crslvl=5:8).
E37 MEMS 500 Independent StudyIndependent investigation on topic of special interest.Prerequisites: graduate standing and permission of thedepartment chair. Students must complete the IndependentStudy Approval Form available in the department office.Credit variable, maximum 3 units.
E37 MEMS 5001 Optimization Methods in EngineeringAnalytical methods in design. Topics include: mathematicalmethods; linear and nonlinear programming; optimalitycriteria; fully stressed techniques for the design of structuresand machine components; topological optimization; searchtechniques; and genetic algorithms. Prerequisites: calculus andcomputer programming.Credit 3 units. EN: BME T, TU
E37 MEMS 501 Graduate SeminarThis is a required pass/fail course for master's and doctoraldegrees. A passing grade is required for each semester of full-time enrollment. A passing grade is received by attendance atthe weekly seminars.
E37 MEMS 5102 Materials Selection in DesignAnalysis of the scientific bases of material behavior in the lightof research contributions of the past 20 years. Development ofa rational approach to the selection of materials to meet a widerange of design requirements for conventional and advancedapplications. Although emphasis is placed on mechanicalproperties, acoustical, optical, thermal and other properties ofinterest in design are discussed.Credit 3 units. EN: BME T, TU
E37 MEMS 5104 CAE-Driven Mechanical DesignAn introduction to the use of computer-aided engineering(CAE) tools in the mechanical design process. Topics include:integrating engineering analysis throughout the process;multidisciplinary optimization; and computer-aided designdirected toward new manufacturing processes. Studentswill work with commercial and research software systems tocomplete several projects. Students should have experience andfamiliarity with a CAD tool, optimization and the finite elementmethod. Prerequisite: MEMS 202 Computer-Aided Design orequivalent.Credit 3 units. EN: BME T, TU
79
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
E37 MEMS 5301 Nonlinear VibrationsIn this course, students are introduced to concepts in nonlineardynamics and vibration and application of these conceptsto nonlinear engineering problems. Specific topics include:modeling of lumped and continuous nonlinear systems (strings,beams and plates); vibrations of buckled structures; perturbationand other approximate analytical methods; the use andlimitations of local linearization; properties of nonlinear behavior,such as dimension and Lyapunov exponents; stability of limitcycles; bifurcations; chaos and chaotic vibrations; experimentalmethods and data analysis for nonlinear systems. Concepts arereinforced with a number of examples from recently publishedresearch. Applications include aeroelastic flutter, impactdynamics, machine-tool vibrations, cardiac arrhythmias andcontrol of chaotic behavior.Credit 3 units. EN: BME T, TU
E37 MEMS 5302 Theory of VibrationsAnalytical methods in vibrations. Topics include: Duhamel'sintegral, Laplace and Fourier transforms and Fourier serieswith applications to transient response, forced response andvibration isolation; Lagrange's equations for linear systems,discrete systems, degrees of freedom, reducible coordinates,holonomic constraints and virtual work; matrix methods and statevariable approach with applications to frequencies and modes,stability and dynamic response in terms of real and complexmodal expansions, dynamic response of continuous systemsby theory of partial differential equations, Rayleigh-Ritz andGalerkin energy methods, finite difference and finite elementalgorithms.Credit 3 units. EN: BME T, TU
E37 MEMS 5401 General ThermodynamicsGeneral foundations of thermodynamics valid for small and largesystems, and for equilibrium and nonequilibrium states. Topicsinclude: definitions of state, work, energy, entropy, temperature,heat interaction and energy interaction. Applications to simplesystems; phase rule; perfect and semi-perfect gas; bulk-flow systems; combustion, energy and entropy balances;availability analysis for thermo-mechanical power generation;and innovative energy-conversion schemes. Prerequisite:graduate standing or permission of instructor.Credit 3 units. EN: BME T, TU
E37 MEMS 5402 Radiation Heat TransferFormulation of the governing equations of radiation heat transfer.Topics include: electromagnetic theory of radiation; properties ofideal and real surfaces; techniques for solutions of heat transferbetween gray surfaces; radiation in absorbing, emitting andscattering media.Credit 3 units. EN: BME T, TU
E37 MEMS 5403 Conduction and Convection Heat TransferThis course examines heat conduction and convection throughvarious fundamental problems that are constructed fromthe traditional conservation laws for mass, momentum andenergy. Problems include the variable-area fin, the unsteadyDirichlet, Robbins and Rayleigh problems, multidimensionalsteady conduction, the Couette flow problem, duct convectionand boundary layer convection. Though some numerics
are discussed, emphasis is on mathematical technique andincludes the extended power series method, similarity reduction,separation of variables, integral transforms, and approximateintegral methods.Credit 3 units. EN: BME T, TU
E37 MEMS 5404 Combustion PhenomenaThis course provides an introduction to fundamental aspects ofcombustion phenomena, including relevant thermochemistry,fluid mechanics, and transport processes as well as theinteractions among them. Emphasis is on elucidation of thephysico-chemical processes, problem formulation and analytictechniques. Topics covered include non-premixed and premixedflames, deflagrations and detonations, particle combustion, flameextinction, flame synthesis, pollutant formation and methods ofremediation. Contemporary topics associated with combustionare discussed throughout. Prerequisites: graduate standing orpermission of instructor.Same as E44 EECE 512Credit 3 units. EN: BME T, TU
E37 MEMS 5410 Fluid Dynamics IFormulation of the basic concepts and equations governinga Newtonian, viscous, conducting, compressible fluid. Topicsinclude: transport coefficients and the elements of kinetictheory of gases, vorticity, incompressible potential flow; singularsolutions; flow over bodies and lifting surfaces; similarity method;viscous flow, boundary layer, low Reynolds number flows,laminar and turbulent flows.Credit 3 units. EN: BME T, TU
E37 MEMS 5411 Fluid Dynamics IIGoverning equations and thermodynamics relations forcompressible flow. Topics include: kinetic theory of gases;steady, one-dimensional flows with friction and heat transfer;shock waves; Rankine-Hugoniot relations; oblique shocks;reflections from walls and flow interfaces, expansion waves,Prandtl-Meyer flow, flow in nozzles, diffusers and inlets, two-andthree-dimensional flows; perturbation methods; similarity rules;compressible laminar and turbulent boundary layers; acousticphenomena. Emphasis is relevant to air vehicles.Credit 3 units. EN: BME T, TU
E37 MEMS 5412 Computational Fluid DynamicsComputational fluid dynamics relevant to engineering analysisand design. Topics include: fundamentals of finite-difference,finite-volume and finite-element methods; numerical algorithmsfor parabolic, elliptic and hyperbolic equations; convergence,stability and consistency of numerical algorithms; applicationof numerical algorithms to selected model equations relevantto fluid flow, grid-generation techniques and convergenceacceleration schemes. Prerequisite: senior or graduate standingor permission of the instructor.Credit 3 units. EN: BME T, TU
E37 MEMS 5413 Advanced Computational Fluid DynamicsScope and impact of computational fluid dynamics. Governingequations of fluid mechanics and heat transfer. Three-dimensional grid-generation methods based on differentialsystems. Numerical methods for Euler and compressibleNavier-Stokes equation. Numerical methods for incompressibleNavier-Stokes equations. Computation of transonic inviscidand viscous flow past airfoils and wings. Analogy between
80
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
the equations of computational fluid dynamics, computationalelectromagnetics, computational aeroacoustics and otherequations of computational physics. Non-aerospace applications— bio-fluid mechanics, fluid mechanics of buildings, wind andwater turbines, and other energy and environment applications.Prerequisite: MEMS 5412 or permission of the instructor.Credit 3 units. EN: TU
E37 MEMS 5414 Aeroelasticity and Flow-Induced VibrationsThis course deals with the interactions between aerodynamics,dynamics and structures in aerospace systems. Topics coveredinclude unsteady aerodynamics, finite-state aerodynamicmodels, classical fixed-wing flutter, rotary-wing aeroelasticity andexperimental methods in aeroelasticity. Emphasis is given to theprediction of flutter and limit cycles in aeroelastic systems.Credit 3 units.
E37 MEMS 5420 HVAC Analysis and Design IFundamentals of heating, ventilating, and air conditioning —moist air properties, the psychrometric chart, classic moistair processes, design procedures for heating and coolingsystems. Design of HVAC systems for indoor environmentalcomfort, health, and energy efficiency. Heat transfer processesin buildings. Development and application of techniques foranalysis of heating and cooling loads in buildings, including theuse of commercial software. Course special topics can includeLEED rating and certification, cleanrooms, aviation, aerospace,and naval applications, ventilation loads, animal control facilities,building automation control, and on-site campus tours of state-of-the-art building energy and environmental systems.Credit 3 units. EN: BME T, TU
E37 MEMS 5421 HVAC Analysis and Design IIFundamentals of heating, ventilating, and air conditioning —energy analysis and building simulation, design procedures forbuilding water piping systems, centrifugal pump performance,design of building air duct systems, fan performance, optimumspace air diffuser design for comfort, analysis of humidificationand dehumidification systems, and advanced analysis ofrefrigeration systems. HVAC analytical techniques will includethe use of commercial software. Course special topics caninclude LEED rating and certification, management for energyefficiency, energy auditing calculations, aviation, aerospace, andnaval applications, ventilation loads, building automation control,and on-site campus tours of state-of-the-art building energy andenvironmental systems.Credit 3 units. EN: BME T, TU
E37 MEMS 5422 Solar Energy Thermal ProcessesFundamentals of radiation heat transfers and solar radiation,including basic terminology, atmospheric scattering andabsorption, radiation interactions with surfaces, and selectivesurfaces. Components, cycles, and materials of concentratingsolar power plants, including parabolic trough and solartowers. Overview over thermal storage, other solar thermaltechnologies and photovoltaics. This course includes a finalproject. Prerequisite: MEMS 3420 or equivalent.Credit 3 units. EN: BME T, TU
E37 MEMS 5423 Sustainable Environmental BuildingSystemsSustainable design of building lighting and HVAC systemsconsidering performance, life cycle cost and downstreamenvironmental impact. Criteria, codes and standards for comfort,air quality, noise/vibration and illumination. Life cycle andother investment methods to integrate energy consumption/conservation, utility rates, initial cost, system/componentlongevity, maintenance cost and building productivity. Direct andsecondary contributions to acid rain, global warming and ozonedepletion.Credit 3 units. EN: BME T, TU
E37 MEMS 5424 Thermo-Fluid Modeling of RenewableEnergy SystemsOverview of sustainable energy systems. Fundamentals ofenergy conversion. Renewable energy sources and energyconversion from wind, biomass, solar-thermal, geothermal andocean/waves. Applications to energy storage, fuel cells, greenair and ground transportation, energy-efficient buildings. Energy-economics modeling, emissions modeling, global warming andclimate change.Credit 3 units. EN: BME T, TU
E37 MEMS 5425 Thermal Management of ElectronicsAs the demand for higher performance electronics continues itsexponential growth, transistor density doubles every 18 to 24months. Electronic devices with high transistor density generateheat and thus require thermal management to improve reliabilityand prevent premature failure. Demanding performancespecifications result in increased package density, higherheat loads and novel thermal management technology. Thiscourse gives an overview of thermal management for micro/power electronics systems and helps engineers to develop afundamental understanding of emerging thermal technologies.This course will include the following topics: background ofelectronics packaging; thermal design of heat sinks; singlephase and multiphase flow in thermal systems; two-phase heatexchange devices for portable and high powered electronicsystems; computational fluid dynamics for design of thermalsystems. Prerequisites: senior or graduate standing.Credit 3 units. EN: BME T, TU
E37 MEMS 5500 ElasticityElastic constitutive relations for isotropic and anisotropicmaterials. Formulation of boundary-value problems. Applicationto torsion, flexure, plane stress, plane strain and generalizedplane stress problems. Solution of three-dimensional problems interms of displacement potentials and stress functions. Solutionof two-dimensional problems using complex variables andconformal mapping techniques. Variational and minimumtheorems.Credit 3 units. EN: BME T, TU
E37 MEMS 5501 Mechanics of ContinuaA broad survey of the general principles governing themechanics of continuous media. Topics include general vectorand tensor analysis, rigid body motions, deformation, stressand strain rate, large deformation theory, conservation lawsof physics, constitutive relations, principles of continuummechanics and thermodynamics, and two-dimensional continua.Prerequisite: ESE 501/502 or instructor's permission.Credit 3 units. EN: BME T, TU
81
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
E37 MEMS 5502 Plates and ShellsIntroduction to the linear theory of thin elastic plates andshells. The emphasis is on application and the developmentof physical intuition. The first part of the course focuses on theanalysis of plates under various loading and support conditions.The remainder of the course deals mainly with axisymmetricdeformation of shells of revolution. Asymptotic methods areused to solve the governing equations. Applications to pressurevessels, tanks, and domes. Prerequisites: BME 240 or MEMS253; ESE 318 and ESE 319 or equivalent.Credit 3 units. EN: BME T, TU
E37 MEMS 5506 Experimental Methods in Solid MechanicsCurrent experimental methods to measure mechanical propertiesof materials are covered. Lectures include theoretical principles,measurement considerations, data acquisition and analysistechniques. Lectures are complemented by laboratory sectionsusing research equipment such as biaxial testing machines,pressure myographs, indentation devices for different scales,and viscometers.Credit 3 units. EN: BME T, TU
E37 MEMS 5507 Fatigue and Fracture AnalysisThe course objective is to demonstrate practical methodsfor computing fatigue life of metallic structural components.The course covers the three major phases of metal fatigueprogression: fatigue crack initiation, crack propagation andfracture. Topics include: stress vs. fatigue life analysis,cumulative fatigue damage, linear elastic fracture mechanics,stress intensity factors, damage tolerance analysis, fracturetoughness, critical crack size computation and load historydevelopment. The course focus is on application of thistechnology to design against metal fatigue and to preventstructural failure.Credit 3 units. EN: BME T, TU
E37 MEMS 5510 Finite Element AnalysisTheory and application of the finite element method. Topicsinclude: basic concepts, generalized formulations, constructionof finite element spaces, extensions, shape functions, parametricmappings, numerical integration, mass matrices, stiffnessmatrices and load vectors, boundary conditions, modelingtechniques, computation of stresses, stress resultants andnatural frequencies, and control of the errors of approximation.Prerequisite: graduate standing or permission of instructor.Credit 3 units. EN: TU
E37 MEMS 5515 Numerical Simulation in Solid Mechanics ISolution of 2D and 3D elasticity problems using the finiteelement method. Topics include: linear elasticity; laminatedmaterial; stress concentration; stress intensity factor; solutionverification; J integral; energy release rate; residual stress;multi-body contact; nonlinear elasticity; plasticity; and buckling.Prerequisites: MEMS 424 Finite Elements or MEMS 5704Aircraft Structures and MEMS 5500 Elasticity or MEMS 5501Mechanics of Continua and graduate standing or permission ofinstructor.Credit 3 units.
E37 MEMS 5516 Numerical Simulation in Solid Mechanics IISolution of 2D and 3D elasticity problems using the finiteelement method. Topics include: laminates and compositematerials; nonlinear elasticity; plasticity; incremental theory ofplasticity; residual stress; geometric nonlinearity; membrane andbending load coupling; multi-body contact; stress intensity factor;interference fit; and buckling analysis. Prerequisite: graduatestanding or permission of instructor.Credit 3 units.
E37 MEMS 5520 Advanced Analytical MechanicsLagrange's equations and their applications to holonomic andnonholonomic systems. Topics include: reduction of degrees offreedom by first integrals, variational principles, Hamilton-Jacobitheory, general transformation theory of dynamics, applicationssuch as theory of vibrations and stability of motion, and useof mathematical principles to resolve nonlinear problems.Prerequisite: senior or graduate standing or permission ofinstructor.Credit 3 units. EN: TU
E37 MEMS 5560 Interfaces and Attachments in Natural andEngineered StructuresAttachment of dissimilar materials in engineering and surgicalpractice is a challenge. Bimaterial attachment sites arecommon locations for injury and mechanical failure. Naturepresents several highly effective solutions to the challenge ofbimaterial attachment that differ from those found in engineeringpractice. This course bridges the physiologic, surgical andengineering approaches to connecting dissimilar materials.Topics in this course are: natural bimaterial attachments;engineering principles underlying attachments; analysisof the biology of attachments in the body; mechanisms bywhich robust attachments are formed; concepts of attachingdissimilar materials in surgical practice and engineering;and bioengineering approaches to more effectively combinedissimilar materials.Credit 3 units. EN: BME T, TU
E37 MEMS 5561 Mechanics of Cell MotilityA detailed review of biomechanical inputs that drive cell motilityin diverse extracellular matrices (ECMs). This class discussescytoskeletal machineries that generate and support forces,mechanical roles of cell-ECM adhesions, and regulation ofECM deformations. Also covered are key methods for celllevel mechanical measurements, mathematical modeling ofcell motility, and physiological and pathological implications ofmechanics-driven cell motility in disease and development.Credit 3 units.
E37 MEMS 5562 Cardiovascular MechanicsThis course focuses on solid and fluid mechanics in the cardiacand cardiovascular system. Cardiac and cardiovascularphysiology and anatomy. Solid mechanics of the heart, heartvalves, arteries, veins and microcirculation. Flow through theheart chambers and blood vessels. Prerequisites: graduatestanding or permission of instructor.Credit 3 units. EN: BME T, TU
82
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
E37 MEMS 5564 Orthopaedic Biomechanics-Cartilage/TendonBasic and advanced viscoelasticity and finite strain analysisapplied to the musculoskeletal system, with a primary focuson soft orthopaedic tissues (cartilage, tendon and ligament).Topics include: mechanical properties of cartilage, tendon andligament; applied viscoelasticity theory for cartilage, tendon andligament; cartilage, tendon and ligament biology; tendon andligament wound healing; osteoarthritis. This class is gearedto graduate students and upper-level undergraduates familiarwith statics and mechanics of deformable bodies. Prerequisites:BME 240 or equivalent. Note: BME 590Z (463/563) OrthopaedicBiomechanics—Bones and Joints is not a prerequisite.Credit 3 units. EN: TU
E37 MEMS 5565 Mechanobiology of Cells and MatricesAt the interface of the cell and the extracellular matrix,mechanical forces regulate key cellular and molecular eventsthat profoundly affect aspects of human health and disease.This course offers a detailed review of biomechanical inputs thatdrive cell behavior in physically diverse matrices. In particular,cytoskeletal force-generation machineries, mechanical rolesof cell-cell and cell-matrix adhesions, and regulation of matrixdeformations are discussed. Also covered are key methodsfor mechanical measurements and mathematical modeling ofcellular response. Implications of matrix-dependent cell motilityin cancer metastasis and embryonic development are discussed.Prerequisite: graduate standing or permission of the instructor.Credit 3 units. EN: BME T, TU
E37 MEMS 5566 Engineering MechanobiologyEngineering Mechanobiology is a new paradigm forunderstanding and manipulating the biological functionof plants, animals, and their cells. Mechanical force hasemerged as a critical component of all biological systems,providing mechanisms to sculpt plants and animals duringmorphogenesis, to enable cell migration, polarization,proliferation, and differentiation in response to physical changesin the environment, and to modulate the function of singlemolecules. This course provides a foundation for understandingthese factors across plant and animal cells. The course beginswith an introduction to plant and animal cell biology andprinciples of signaling, then progresses to an overview of thecell wall and ECM and an introduction to the mechanics andstatistical mechanics of solid, viscoelastic, and fibrous continua.The course then focuses on the questions of how do cells feel,how do cells converse with the ECM and wall, and how do cellsremember? Prerequisites: undergraduate calculus and physics.Credit 3 units. EN: BME T, TU
E37 MEMS 5601 Mechanical Behavior of MaterialsA materials science-based study of mechanical behavior ofmaterials with emphasis on mechanical behavior as affectedby processes taking place at the microscopic and/or atomiclevel. The response of solids to external or internal forces asinfluenced by interatomic bonding, crystal/molecular structure,crystalline/noncrystalline defects and material microstructureare studied. The similarities and differences in the response ofdifferent kinds of materials viz., metals and alloys, ceramics,polymers and composites are discussed. Topics covered includephysical basis of elastic, visco elastic and plastic deformationof solids; strengthening of crystalline materials; visco elasticdeformation of polymers as influenced by molecular structure
and morphology of amorphous, crystalline and fibrous polymers;deformation and fracture of composite materials; mechanismsof creep, fracture and fatigue; high strain-rate deformation ofcrystalline materials; and deformation of noncrystalline materials.Credit 3 units. EN: BME T, TU
E37 MEMS 5602 Non-metallicsStructure, mechanical and physical properties of ceramics andcermets, with particular emphasis on the use of these materialsfor space, missile, rocket, high-speed aircraft, nuclear and solid-state applications.Credit 3 units. EN: BME T, TU
E37 MEMS 5603 Materials Characterization Techniques IAn introduction to the basic theory and instrumentation used intransmission electron, scanning electron and optical microscopy.Practical laboratory experience in equipment operations,experimental procedures and material characterization.Credit 3 units. EN: BME T, TU
E37 MEMS 5604 Materials Characterization Techniques IIIntroduction to crystallography and elements of X-ray physics.Diffraction theory and application to materials science includingfollowing topics: reciprocal lattice concept, crystal-structureanalysis, Laue methods, rotating crystal methods, powdermethod, and laboratory methods of crystal analysis.Credit 3 units. EN: BME T, TU
E37 MEMS 5605 Mechanical Behavior of CompositesAnalysis and mechanics of composite materials. Topics includemicromechanics, laminated plate theory, hydrothermal behavior,creep, strength, failure modes, fracture toughness, fatigue,structural response, mechanics of processing, nondestructiveevaluation, and test methods. Prerequisite: graduate standing orpermission of the instructor.Credit 3 units. EN: BME T, TU
E37 MEMS 5606 Soft NanomaterialsSoft nanomaterials, which range from self-assembledmonolayers (SAMs) to complex 3D polymer structures,are gaining increased attention owing to their broad-rangeapplications. The course introduces the fundamental aspects ofnanotechnology pertained to soft matter. Various aspects relatedto the design, fabrication, characterization and applicationof soft nanomaterials are discussed. Topics covered includebut are not limited to SAMs, polymer brushes, layer-by-layerassembly, responsive polymers structures (films, capsules),polymer nanocomposites, biomolecules as nanomaterials andsoft lithography.Credit 3 units. EN: BME T, TU
E37 MEMS 5607 Introduction to Polymer Blends andCompositesThe course covers topics in multicomponent polymer systems(polymer blends and polymer composites) such as: phaseseparation and miscibility of polymer blends, surfaces andinterfaces in composites, microstructure and mechanicalbehavior, rubber toughened plastics, thermoplastic elastomers,block copolymers, fiber reinforced and laminated composites,techniques of polymer processing with an emphasis oncomposites processing, melt processing methods such asinjection molding and extrusion, solution processing of thin films,
83
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
selection of suitable processing methods and materials selectioncriteria for specific applications. Advanced topics include:nanocomposites such as polymer/CNT composites, bioinspirednanocomposites, and current research challenges. Prerequisite:MEMS 3610 or equivalent or permission of instructor.Credit 3 units. EN: BME T, TU
E37 MEMS 5608 Introduction to Polymer Science andEngineeringTopics covered in this course are: the concept of long-chain ormacromolecules, polymer chain structure and configuration,microstructure and mechanical (rheological) behavior, polymerphase transitions (glass transition, melting, crystallization),physical chemistry of polymer solutions (Flory-Huggins theory,solubility parameter, thermodynamics of mixing and phaseseparation), polymer surfaces and interfaces, overview ofpolymer processing (extrusion, injection molding, film formation,fiber spinning) and modern applications of synthetic and bio-polymers.Credit 3 units. EN: BME T, TU
E37 MEMS 5610 Quantitative Materials Science &EngineeringThis course will cover the mathematical foundation of primaryconcepts in materials science and engineering. Topics coveredinclude mathematical techniques in materials science andengineering; Fourier series; ordinary and partial differentialequations; special functions; matrix algebra; and vector calculus.Each topic will be followed by its application to concepts inthermodynamics; kinetics and phase transformations; structureand properties of hard and soft matter; and characterizationtechniques. This course is intended especially for studentspursuing graduate study in materials science.Credit 3 units. EN: BME T, TU
E37 MEMS 5612 Atomistic Modeling of MaterialsThis course will provide a hands-on experience using atomicscale computational methods to model, understand and predictthe properties of real materials. It will cover modeling usingclassical force-fields, quantum-mechanical electronic structuremethods such as density functional theory, molecular dynamicssimulations, and Monte Carlo methods. The basic background ofthese methods along with examples of their use for calculatingproperties of real materials will be covered in the lectures.Atomistic materials modeling codes will be used to calculatevarious material properties. Prerequisites: MEMS 3610 orequivalent or permission of instructor.Credit 3 units. EN: BME T, TU
E37 MEMS 5613 Biomaterials ProcessingBiomaterials with 3D structures are important for tissueregeneration. The goal of this class is to introduce varioustypes of biomaterials and fabrication approaches to create3D structures. The relationship between material properties,processing methods, and design will be the primary focus. Thetopics include degradable biomaterials for scaffold fabrication,processing of tissue engineering scaffolds, processing of tissueengineering hydrogels, processing of drug delivery systems, andscaffold surface modification.Credit 3 units. EN: TU
E37 MEMS 5614 Polymeric Materials Synthesis andModificationPolymer is a class of widely used material. Polymer performanceis highly dependent on its chemical properties. The goalof this class is to introduce methods for the synthesis andmodification of polymers with different chemical properties.The topics include free radical polymerization, reversibleaddition-fragmentation chain transfer polymerization, atomtransfer radical polymerization, step growth polymerization,cationic polymerization, anionic polymerization, ring-openingpolymerization, and bulk and surface modification of polymers.Credit 3 units. EN: TU
E37 MEMS 5615 Metallurgy and Design of AlloysThe design of materials used in critical structures (e.g.,airplanes) entails optimizing and balancing multiple properties(e.g., strength, durability, corrosion resistance) to satisfy oftenconflicting requirements (e.g., better fuel efficiency, lowercost, operation in extreme conditions). Properties of metallicmaterials are determined by their "microstructure," whichin turn is determined by their compositions and processingpaths. An understanding of the multivariate relationshipsamong compositions, processing parameters, microstructures,and properties is therefore essential to designing alloysand predicting their behavior in service. This course willdiscuss these relationships, with emphasis on the hierarchy ofmicrostructural features, how they are achieved by processing,and how they interact to provide desirable property combinations-- essentially the physical metallurgy of alloys. This course willfocus on high-performance alloys presently used in airframesas well as alloy design for state-of-the-art processes such asadditive manufacturing. Prerequisite: MEMS 3610.Credit 3 units. EN: TU
E37 MEMS 5700 AerodynamicsFundamental concepts of aerodynamics, equations ofcompressible flows, irrotational flows and potential flow theory,singularity solutions, circulation and vorticity, Kutta-Joukowskitheorem, thin airfoil theory, finite wing theory, slender bodytheory, subsonic compressible flow and Prandtl-Glauert rule,supersonic thin airfoil theory, introduction to performance, basicconcepts of airfoil design. Prerequisite: graduate standing orpermission of instructor.Credit 3 units. EN: BME T, TU
E37 MEMS 5701 Aerospace PropulsionPropeller, jet, ramjet and rocket propulsion. Topics include:fundamentals of propulsion systems, gas turbine engines,thermodynamics and compressible flow, one-dimensionalgas dynamics, analysis of engine performance, air breathingpropulsion system, the analysis and design of enginecomponents, and the fundamentals of ramjet and rocketpropulsion.Credit 3 units. EN: BME T, TU
E37 MEMS 5703 Analysis of Rotary-Wing SystemsThis course introduces the basic physical principles that governthe dynamics and aerodynamics of helicopters, fans and windturbines. Simplified equations are developed to illustrate theseprinciples, and the student is introduced to the fundamentalanalysis tools required for their solution. Topics include:harmonic balance, Floquet theory and perturbation methods.Credit 3 units. EN: BME T, TU
84
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
E37 MEMS 5704 Aircraft StructuresBasic elements of the theory of elasticity; application to torsionof prismatic bars with open and closed thin-wall sections; themembrane analogy; the principle of virtual work applied to 2Delasticity problems. Bending, shear and torsion of open andclosed thin-wall section beams; principles of stressed skinconstruction, structural idealization for the stress analysis ofwings, ribs and fuselage structures. Margin of safety of fastenedconnections and fittings. Stability of plates, thin-wall sectioncolumns and stiffened panels. Application of the finite elementmethod for the analysis of fastened connections, structuralfittings and problems of local stability of aircraft structuralcomponents.Credit 3 units.
E37 MEMS 5705 Wind Energy SystemsA comprehensive introduction to wind energy systems, apractical means of extracting green and sustainable energy.Topics include: a historical perspective of wind turbines;horizontal axis and vertical axis wind turbines; the basicparameters such as power rating and efficiency; the structuralcomponents ranging from blade and hub to nacelle andtower; wind turbine aerodynamics, aeroelasticity and controlsystems; blade fatigue; statistical wind modeling; unsteadyairfoil aerodynamics and downstream wake; and environmentalconsiderations such as noise and aesthetics. Prerequisite:senior or graduate standing in engineering or permission of theinstructor.Credit 3 units. EN: BME T, TU
E37 MEMS 5706 Aircraft PerformanceThis course introduces the principles and applications ofaerodynamics to determine the performance of typical jet engineand propeller airplanes. The performance calculations includeflight conditions of takeoff, climb, level flight, and landing. Thetopics covered also include range and endurance computation,turning flight, flight envelope, constraint analysis and designprocess. The knowledge and skill gained in this course canbe readily applied in the preliminary design of an airplane.Prerequisite: senior or graduate standing in engineering, orpermission of the instructor.Credit 3 units. EN: BME T, TU
E37 MEMS 5707 Flight DynamicsThe course objective is to introduce methods for analyzing andsimulating flight vehicle dynamics and to assess performancecharacteristics. Topics will include: aerodynamics, structuraldynamics, vehicle forces and moments, vehicle equations ofmotion, rigid body and flexible body considerations, modellinearization, longitudinal and lateral stability, stability andcontrol augmentation, and aircraft handling qualities. The coursefocus is on the application of flight dynamics principles andMATLAB will be used extensively for modeling and simulationassignments and demonstrations.Credit 3 units. EN: TU
E37 MEMS 5801 Micro-Electro-Mechanical Systems IIntroduction to MEMS: Microelectromechanical systems (MEMS)are ubiquitous in chemical, biomedical and industrial (e.g.,automotive, aerospace, printing) applications. This course coversimportant topics in MEMS design, micro-/nanofabrication, andtheir implementation in real-world devices. The course includesdiscussion of fabrication and measurement technologies (e.g.,
physical/chemical deposition, lithography, wet/dry etching, andpackaging), as well as application of MEMS theory to design/fabrication of devices in a cleanroom. Lectures cover specificprocesses and how those processes enable the structuresneeded for accelerometers, gyros, FR filters, digital mirrors,microfluidics, micro total-analysis systems, biomedical implants,etc. The laboratory component allows students to investigatethose processes first-hand by fabricating simple MEMS devices.Credit 3 units. EN: BME T, TU
E37 MEMS 5912 Biomechanics Journal ClubThis journal club is intended for graduate students and advancedundergraduates with an interest in biomechanics. We reviewlandmark and recent publications in areas such as brain,cardiovascular and orthopedic biomechanics, discussing bothexperimental and modeling approaches. This course meets onceweekly at a time to be arranged.Credit 1 unit. EN: TU
E37 MEMS 597 MEMS Research RotationIndependent research project that will be determined jointly bythe doctoral student and the instructor. Assignments may includebackground reading, presentations, experiments, theoretical,and/or modeling work. The goal of the course is for the doctoralstudent to learn the background, principles and techniquesassociated with research topics of interest and to determine amutual fit for the student's eventual doctoral thesis laboratory.Credit 3 units.
E37 MEMS 598 Energy Analysis and Design ProjectThe Energy Analysis and Design Project is designed to providemechanical engineering skills in energy applications, renewableenergy, and technologies related to energy which can involveheat transfer, thermodynamics, and fluid mechanics. The projecttopic can be chosen by the student or can be developed by boththe student and faculty sponsor. The subsequent research andanalysis, conducted under the guidance and direction of thefaculty sponsor, results in a final project report that is approvedby the faculty sponsor. The course is normally completedover one or two semesters. Recent projects have included:Energy Modeling and Efficiency Improvements: A Comparisonof TRACE 700 and eQuest, Analysis of Hydroelectric Power,Optimization of Residential Solar Thermal Heating in the UnitedStates, Analysis of Ocean Thermal Energy Conversion Systems,Laboratory Plug Load Analysis and Case Study, Modeling andOptimizing Hydronic Radiant Heating and Cooling Systemsusing Comsol Multiphysics, CFD Analysis in HVAC Applications,Energy Analysis of Waste Disposal Methods, CFD Analysisof Containment Solutions for Data Center Cooling, EnergyRecovery Ventilation, Comparative Study of Green BuildingRating Systems, Grid Energy Storage, Protection of PermafrostUnder the Quinghai-Tibet Railway by Heat Pipe Technology,Investing in Residential Solar Photovoltaic Systems, How PipingLayout Effects Energy Usage, and Comparison of BuildingEnergy Savings Between China and the United States.Credit variable, maximum 6 units.
E37 MEMS 599 Master's ResearchCredit variable, maximum 6 units.
E37 MEMS 600 Doctoral ResearchCredit variable, maximum 9 units.
85
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Doctoral DegreesPolicies & RegulationsA key objective of the doctoral program is to promote cutting-edge multidisciplinary research and education in the areasof mechanical engineering and materials science. Studentsare selected for admission to the program by a competitiveprocess, and they typically start in the fall semester. On arrivingat Washington University in St. Louis, the student will be advisedby the temporary adviser on all procedural issues. The studentwill choose a permanent adviser by the end of the first year ofresidency in the program.
Summary of Requirements for DoctoralStudentsThe following is a brief summary of the requirements for studentsin the Mechanical Engineering & Materials Science doctoralprograms:
1. Pass the qualifying exams. Qualifying exams should betaken by the end of the first year.
2. Prepare and defend a research proposal. The researchproposal should be defended by the end of the third year.
3. Write and successfully defend the doctoral dissertation.
4. Complete a minimum of 36 units of course credit anda minimum of 24 units of doctoral research; a total of 72credit units is required to earn the PhD degree.
5. Satisfy the applicable teaching requirements of the GraduateSchool.
Degrees OfferedThe Department of Mechanical Engineering & Materials Science(MEMS) offers the following doctoral degrees:
• PhD in Mechanical Engineering
• PhD in Aerospace Engineering
• DSc in Mechanical Engineering, Aerospace Engineering, orMaterials Science
The Doctor of Science (DSc) has similar requirementsto the PhD but without the teaching requirement. Fora list of differences, please refer to the DSc and PhDComparison (PDF) (https://mems.wustl.edu/graduate/programs/Documents/DoctoralComparisonSection.pdf).
• Students may also pursue a PhD in Materials Science —through the Institute of Materials Science & Engineering(IMSE) — while working with professors from theDepartment of Mechanical Engineering & MaterialsScience. For details about this program, visit the IMSEGraduate Program (http://imse.wustl.edu/graduate-program/)webpage.
For more information about MEMS PhD degrees, visit the MEMSGraduate Degree Programs (https://mems.wustl.edu/graduate/programs/Pages/default.aspx) webpage.
Master of Science in MechanicalEngineering (MSME)Thesis OptionThe quantitative requirement for the degree is 30 credit units.A minimum of 24 of these units must be course work, and aminimum of 6 units must be Master's Research (MEMS 599).
The overall grade-point average must be 2.70 or better.
Courses may be chosen from 400- and 500-level offerings. Allmust be engineering, math or science courses with the followingrestrictions:
• A maximum of 3 units of Independent Study (MEMS 500) areallowed.
• A maximum of 6 units of 400-level courses are allowed,and these must be from courses not required for the BSMEdegree (if counted for the MSAE) or not required for theBSAE degree (if counted for the MSME degree), with theexception of MEMS 4301 Modeling, Simulation and Control,which can count toward the MS.
• Each course must be approved by the candidate's thesisadviser.
• A maximum of 6 units of transfer credit with a grade of Bor better are allowed for courses taken at other graduateinstitutions.
• A minimum of 15 units of the total 30 units must be in MEMScourses.
The student must also write a satisfactory thesis andsuccessfully defend it in an oral examination before a facultycommittee consisting of at least three members, at least two ofwhich are from the Department of Mechanical Engineering &Materials Science.
Full-time MS students in any area are required every semesterto take MEMS 501 Graduate Seminar, which is a zero-unit, pass/fail course.
Course OptionThe quantitative requirement for the degree is 30 credit units(normally 10 courses) completed with a grade-point average of2.70 or better.
Course programs may be composed from one area ofspecialization below (MSME) or from aerospace engineering(MSAE). They must conform to the following distribution:
86
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Applied Mathematics 6 credits
Area of Specialization 15 credits
Electives 9 credits
Elective courses may be chosen in any area of engineeringor mathematics at the 400 level or higher. Of the 30 units,a minimum of 24 must be in 500-level courses. No morethan 6 units may be in 400-level courses; core requirementsfor the ME undergraduate degree are not allowed, with theexception of MEMS 4301, which is allowed. A maximum of3 credits of independent study (MEMS 400 or MEMS 500)may be used as an elective. A minimum of 15 units must be inMEMS. Non-engineering courses (e.g., T courses, finance orentrepreneurship courses) cannot be counted.
Full-time MS students in any area are required every semesterto take MEMS 501 Graduate Seminar, which is a zero-unit, pass/fail course.
Degree candidates will plan their course programs with the helpof a departmental adviser. Use the links below to find courses inthe areas of specialization.
Engineering Areas ofSpecialization for the MS inMechanical Engineering
• Applied Mechanics (https://mems.wustl.edu/graduate/programs/Documents/MS%20Course%20Option%2004%2013%2020.pdf)
• Dynamics/Mechanical Design (https://mems.wustl.edu/graduate/programs/Documents/MS%20Course%20Option%2004%2013%2020.pdf)
• Solid Mechanics/Materials Science (https://mems.wustl.edu/graduate/programs/Documents/MS%20Course%20Option%2004%2013%2020.pdf)
• Fluid/Thermal Sciences (https://mems.wustl.edu/graduate/programs/Documents/MS%20Course%20Option%2004%2013%2020.pdf)
• Energy Conversion and Efficiency (https://mems.wustl.edu/graduate/programs/Pages/specialized-tracks.aspx)
• Numerical Simulation in Solid Mechanics (https://mems.wustl.edu/graduate/programs/Pages/specialized-tracks.aspx)
Master of Science in AerospaceEngineering (MSAE)Thesis OptionThe quantitative requirement for the degree is 30 credit units.A minimum of 24 of these units must be course work, and aminimum of 6 units must be Master's Research (MEMS 599).
The overall grade-point average must be 2.70 or better.
Courses may be chosen from 400- and 500-level offerings. Allmust be engineering, math or science courses with the followingrestrictions:
• A maximum of 3 units of Independent Study (MEMS 500) areallowed.
• A maximum of 6 units of 400-level courses are allowed,and these must be from courses not required for the BSMEdegree (if counted for the MSAE) or not required for theBSAE degree (if counted for the MSME degree), with theexception of MEMS 4301, which is allowed.
• Each course must be approved by the candidate's thesisadviser.
• A maximum of 6 units of transfer credit with a grade of Bor better are allowed for courses taken at other graduateinstitutions.
• A minimum of 15 units of the total 30 units must be in MEMScourses.
The student must also write a satisfactory thesis andsuccessfully defend it in an oral examination before a facultycommittee consisting of at least three members, at least two ofwhich are from the Department of Mechanical Engineering &Materials Science.
Full-time MS students in any area are required every semesterto take MEMS 501 Graduate Seminar, which is a zero-unit, pass/fail course.
Course OptionThe quantitative requirement for the degree is 30 credit units(normally 10 courses) completed with a grade-point average of2.70 or better.
Course programs must be focused in the area of aerospaceengineering. They must conform to the following distribution:
Applied Mathematics 6 credits
Aerospace 15 credits
Electives 9 credits
Elective courses may be used to accumulate additionalcredits in other areas of engineering or in mathematics. Amaximum of 3 credits of Independent Study (MEMS 500) maybe included as an elective course. A maximum of 6 units of400-level courses (not required for a MEMS undergraduatedegree), with the exception of MEMS 4301, may also beincluded. Non-engineering courses (e.g., T-courses, finance orentrepreneurship courses) cannot be counted as engineeringelectives. A minimum of 15 units must be in MEMS.
Full-time MS students are required to take MEMS 501 GraduateSeminar, which is a zero-unit, pass/fail course.
Degree candidates will plan their course programs with the helpof a departmental adviser.
87
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Master of Science (MS)in Materials Science andEngineeringThesis OptionThe quantitative requirement for the degree is 30 credit units.A minimum of 24 of these units must be course credit, and aminimum of 6 units must be Master's Research (MEMS 599). Aminimum of 15 units of the total 30 units must be in MEMScourses.
The overall grade-point average must be 2.70 or better.
Every semester, full-time MS students in Materials Scienceand Engineering (MSE) are required to take either thedepartment's Graduate Seminar (MEMS 501) or the GraduateSeminar offered by the Institute of Materials Science &Engineering (IMSE 501). These are zero-unit, pass/fail courses.
Degree candidates will plan their programs with the help of theirthesis adviser. Courses are to be Engineering courses at the 500level or above or Chemistry, Earth and Planetary Science, orPhysics courses at the 400 level or above. Course credit mustinclude at least 12 units (four courses) from a list of approvedmaterials-focused courses (https://mems.wustl.edu/graduate/programs/Pages/MS-in-Materials-Science-Engineering.aspx)found on the MEMS website as well as 3 units (one course) ofmathematics at the graduate level. The following restrictionsapply:
• A maximum of 3 units of Independent Study (MEMS 500) areallowed.
• A maximum of 6 units of 400-level courses are allowed.
• Each course must be approved by the candidate's thesisadviser.
• A maximum of 6 units of transfer credit with a grade of Bor better are allowed for courses taken at other graduateinstitutions.
• For the combined bachelor's/master's degree (https://engineering.wustl.edu/prospective-students/graduate-admissions/Pages/bachelors-masters.aspx), up to 6 unitscan count for both the BS and the MS, as long as theprogram of study satisfies the criteria above.
The student must also write a satisfactory thesis andsuccessfully defend it in an oral examination before a facultycommittee consisting of at least three members, at least two ofwhich are from the Department of Mechanical Engineering &Materials Science.
Course OptionThe quantitative requirement for the degree is 30 credit units(normally 10 courses). A minimum of 15 units of the total 30must be in MEMS courses.
The overall grade-point average must be 2.70 or better.
Every semester, full-time MSE students are required to takeeither the department's Graduate Seminar (MEMS 501) or theGraduate Seminar offered by the Institute of Materials Science &Engineering (IMSE 501). These are zero-unit, pass/fail courses.
Degree candidates will plan their programs with the helpof their faculty adviser. Courses are to be Engineeringcourses at the 500 level or above or Chemistry, Earth andPlanetary Science, or Physics courses at the 400 level orabove. Course credit must include at least 18 units (six courses)from a list of approved materials-focused courses (https://mems.wustl.edu/graduate/programs/Pages/MS-in-Materials-Science-Engineering.aspx) found on the MEMS website aswell as 3 units (one course) of mathematics at the graduatelevel. The following restrictions apply:
• A maximum of 3 units of Independent Study (MEMS 500) areallowed.
• A maximum of 6 units of 400-level courses are allowed.
• A maximum of 6 units of transfer credit with a grade of Bor better are allowed for courses taken at other graduateinstitutions.
• For the combined bachelor's/master's degree (https://engineering.wustl.edu/prospective-students/graduate-admissions/Pages/bachelors-masters.aspx), up to 6 unitscan count for both the BS and the MS, as long as theprogram of study satisfies the criteria above.
The remaining courses (electives) may be chosen accordingto the general criteria above, as long as they contribute to acoherent program of study in materials science.
Master of Engineering (MEng) inMechanical EngineeringThe Master of Engineering in Mechanical Engineering (MEng inME) is a one- to two-year program offered by the Departmentof Mechanical Engineering & Materials Science of WashingtonUniversity in St. Louis. The program is especially tailored for(1) individuals who plan to change careers and enter the MEprofession; (2) international students seeking to establish U.S.credentials in the ME profession; and (3) current professionalsworking in ME who wish to advance their skills and education. Adistinctive feature of the program is the ability to customize thecourse content to meet specific individual needs.
Degree requirements are as follows:
Candidates for admission should have an undergraduate degreein engineering, the physical sciences or mathematics, with agrade-point average of 2.75 or better.
It should be emphasized that, in many states, the MEng in MEwill not be sufficient to qualify the degree recipient to sit for aprofessional engineering exam.
88
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
• 30 units of credit in engineering or mathematics coursesare required, and these must be at the 400 level or higher.Courses from the other engineering departments (CSE,EECE, ESE and BME) are encouraged. WashingtonUniversity Continuing Education Courses (i.e., the T coursesor the U courses) are not permitted.
• All courses must be taken for a grade, with an overall GPA of2.70 or higher.
• At least 9 of the 30 units must be in MEMS courses at the500 level.
• All 400-level courses must be either (1) approved for theMaster of Science in Mechanical Engineering (ME) orAerospace Engineering (AE) or (2) approved by the MEMSfaculty for application to the MEng degree.
• No more than 6 units of independent study are allowed.
• No more than 6 units may be transferred from anotheruniversity. These units must be in engineering or mathcourses at the 400 level or above with a grade of B or better,and the courses must not be required for the candidate's BSdegree.
Full-time MS students in any area are required every semesterto take MEMS 501 Graduate Seminar, which is a zero-unit, pass/fail course.
Henry Edwin Sever InstituteWith the Sever Institute's flexible schedules, which includeevening and weekend classes, professionals can keep theircareers moving forward while developing the knowledge andcredentials that will set them apart. Our graduate studentsstrive to make a positive impact on the challenges we facein technology, security and information management. Thecurriculum and course work will enhance students' knowledgeand expertise. They will understand the rapidly changingmarketplace and be prepared to set the pace.
Degree Programs• Master of Construction Management (p. 97)
• Master of Cybersecurity Management (p. 98)
• Master of Engineering Management (p. 99)
• Master of Health Care Operational Excellence (p. 100)
• Master of Information Systems Management (p. 101)
• Master of Project Management (p. 102)
Graduate Certificates• Graduate Certificate in Construction Management (p. 97)
• Graduate Certificate in Cybersecurity Management(p. 98)
• Graduate Certificate in Engineering Management (p. 99)
• Graduate Certificate in Health Care Operational Excellence(p. 100)
• Graduate Certificate in Information Systems Management(p. 101)
• Graduate Certificate in Project Management (p. 102)
Contact: Kim Simpson
Phone: 314-935-2594
Email: [email protected]
Website: https://sever.wustl.edu
CoursesCourses include the following:
• T54 PRJM (p. 89): Project Management
• T55 ETEM (p. 91): Engineering Management
• T64 CNST (p. 91): Construction Management
• T71 HLTHCARE (p. 92): Health Care Operations
• T81 INFO (p. 93): Information Management
• T83 CYBER (p. 95): Cybersecurity Management
Project ManagementVisit online course listings to view semester offerings forT54 PRJM (https://courses.wustl.edu/CourseInfo.aspx?sch=T&dept=T54).
T54 PRJM 523 Project Planning MethodologiesBuild your expertise with today's critical project managementmethodologies in our fast-paced world. Variations of waterfallare widely used in industry, but new uses of agile are beingdiscovered every day, both inside and outside of software-based organizations. This course exposes the student tothe fundamental and emerging techniques and tools used tomanage successful projects of various sizes and complexity --managing cost, schedule, quality, risk, solution and requirements-- while adapting to today's fast-paced and uncertain businessenvironment. The primary focus of this course is on agile.Prerequisite: graduate standing.Credit 3 units.
T54 PRJM 524 Hands-On With Traditional ProjectManagementThis course offers a practical orientation for learning traditionalproject management techniques that produce predictableresults (on time, within budget, and in accordance with statedspecifications) and applying them to a project in trouble.Traditional project management is a universal and widely usedpractice that includes a set of developed techniques used forplanning, estimating, and controlling activities. This course alsointroduces the standard project lifecycle: initiating, planning,executing, controlling, and closing. Prerequisite: graduatestanding.Credit 3 units.
89
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
T54 PRJM 525 Project Management the Agile WayAgile, SCRUM, Kanban, ScrumBan, SAFe: these are some ofthe key concepts covered in this course. Agile as a mindset,a skillset, and a toolset are all critical in our fast-pacedworld. This course uses texts, case studies, and varyingpractical assignments. Students will come away with a solidunderstanding of the core agile concepts, frameworks andpractices that are shown to deliver great business value and thatare taking the industry by storm. Prerequisite: graduate standing.Credit 3 units.
T54 PRJM 526 The Art & Science of Risk ManagementThis course focuses on why many project managers missrequirements for schedule, budget or even both. The courseconcentrates on key risk management techniques practiced byleading project and program managers and taught through fact-filled lectures, case work and project execution as applied toinformation systems, engineering, financial, product/process anddesign projects/programs in today's fast-moving environment.Students will take away key value propositions, including riskidentification, risk quantification, risk monitoring, risk control andrisk mitigation. This course will enable the student to addresscommon scope, schedule, quality and cost risk events thatoccur on complex projects. Project risk management examinesthe types of risk, with a focus on understanding the processof risk identification, assessment, prevention, mitigation, andrecovery; governance, auditing, and control of confidentiality;integrity; and availability of data. Using common operational,strategic, tactical, and technological scenarios, the course workprovides a comprehensive approach to the challenges faced bymanagers when global data is readily available, risk is pervasive,regulations are ever-increasing, and the threat of disruption frompotential crises is real. Prerequisite: graduate standing.Credit 3 units.
T54 PRJM 527 Strategies of Projects, Programs & PortfoliosThis course addresses the strategic alignment and prioritizationof projects, programs and portfolios -- both alignment withan organization's business objectives as well as acrossmultiple projects of a portfolio. This includes the alignmentand management of project resources, project schedules,and management attention. Included is a team-based projectsimulation offering practical exposure to negotiating andassigning project resources, which is a key success factor inproject management. Prerequisite: graduate standing.Credit 3 units.
T54 PRJM 582 Developing Leadership for ProfessionalsThis course provides knowledge about a variety of leadershipapproaches and how they may be effective in technologicalsituations. The course concentrates on developing skills toactually lead in various situations. These include decisionmaking, problem solving, coaching, evaluating performance,selling ideas, and gaining commitment. The course combinesclassroom activities, actual experiences, and reality-basedfeedback to hone skills that result in an improved ability to lead.Credit 3 units.
T54 PRJM 583 Human Performance in the OrganizationThrough this course, students will gain insights into and practicethe art and science of leadership. This course addressesthe leadership and management capabilities required tomove into positions of greater responsibility, with a focus ontechnology-based organizations. Topics include leadership,
goals, motivation and performance, management of change,conflict and effectiveness, organizational development andwork design. When a leader gets better, everyone gets better.Prerequisite: graduate standing.Credit 3 units.
T54 PRJM 584 Communication Excellence for InfluentialLeadershipExceptional communicators become extraordinary leaders.This course will guide students to learn to exceptionallycommunicate their message by applying refined nuances thatinspire and transform those with whom they converse. Througha proven communicative process, students will acquire the skillsnecessary to differentiate them as leaders. Students will learnhow to communicate across a variety of settings using strategiesthat result in clear, vivid, and engaging exchanges. Students willpractice storytelling; creating and using clear visuals; engaginglisteners; demonstrating passion when speaking; respondingto questions with clarity and brevity; and using their distinctivevoice as a leadership asset. Each student will learn how toassess their own communication capabilities, adjust to differentlisteners, evaluate speaker effectiveness, and provide valuablefeedback to others. Video recordings will be used to demonstrateincremental communicative changes throughout the course andto show how these strategies bring about outstanding leadership.Prerequisite: graduate standing.Credit 3 units.
T54 PRJM 585 Group Dynamics in Project TeamPerformanceThis course examines how teams actually work by lookingat group behavior in social situations and by discussing howvarious leaders perform in these social situations. Groupmotivations of teams are also examined in the light of a localsituation and/or a large enterprise. Students will learn to identifythe enabling conditions for team formation and the importanceof context to team performance. The idea of a standard,normal person and how that person relates to team behavioris discussed. Subject areas covered include groupthink andits impact on projects; social facilitation with key stakeholders;project uncertainty and the dynamics of contribution; and projectand organizational climate.Credit 3 units.
T54 PRJM 586 Cross-Cultural NegotiationThis course introduces students to and gives them practicewith principle-based tools and techniques to reach agreementsacross varied cultures. Best practices from the most famousnegotiators of ancient history (i.e., the Phoenicians) are studiedand used as a methodology that includes the role of a third partyin resolving conflict. The cross-cultural elements are based onmulticultural experiences, research studies and the real-lifeexperiences of the instructor. The course is highly interactive(about 70% of the course work). Participants learn through roleplays and simulation as well as through readings and case-studyanalysis.Credit 3 units.
90
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Engineering ManagementVisit online course listings to view semester offerings forT55 ETEM (https://courses.wustl.edu/CourseInfo.aspx?sch=T&dept=T55).
T55 ETEM 504 Engineering Management & FinancialIntelligenceDiscover the full picture of how business works within theorganization. This course walks the student through thecomplete business cycle and demonstrates the roles thatvarious functions play in a business operation as well as howinformation is used to make business decisions (e.g. financialdata, marketing data, production data, economic data). Tobring these learnings to life, this course also uses managementsimulation games and classroom competitions. Includesstrategy, product planning and management, sales and support,research and development, and manufacturing and supply chain,with particular emphasis on accounting, finance, and the use offinancial statements. Prerequisite: graduate standing.Credit 3 units.
T55 ETEM 505 Decision-Making & OptimizationExpand your ability to analyze and optimize complex businesssituations by leveraging the key data. Decision-making in today'scomplex world requires advanced analytical methods and tools,including mathematical modeling and quantitative techniques.Powerful tools for forecasting, finance, operations, productionand logistics. Emerging technologies such as the industrial"internet of things" and blockchain are enabling a whole new setof possibilities! Prerequisite: graduate standing, statistics.Credit 3 units.
T55 ETEM 506 Technology Strategy & MarketingLearn the art and science of technology-rich strategy andmarketing. Every business rises and falls on the value it bringsto the customer and the value it simultaneously brings tothe business itself. The engineer that understands and cancommunicate strategy and marketing is powerful! Business,technology and research budgets are allocated based onthis value proposition, whether the commercialization oroperationalization of the technology is one year out or 10 yearsout. Prerequisite: graduate standing.Credit 3 units.
T55 ETEM 510 Understanding Emerging & DisruptiveTechnologiesWe live in an era of rapid technology innovation and disruption.Blockbuster was the darling of Wall Street in 2004 and filed forbankruptcy in 2010. According to the Blockbuster CEO in 2008,"Neither Redbox nor Netflix are even on the radar screen interms of competition." Blockbuster is not alone in their blindness.Microsoft laughed off the first iPhone and laughed off Google.IBM laughed off the first personal computer. These should be ahorrible warning to all business leaders. Numerous technologiesare threatening disruption today, including blockchain, the"internet of things," artificial intelligence, autonomous vehicles,unmanned aerial vehicles (UAVs), 3D printing, 5G wirelessnetworks,and gene editing. Understanding what they are andhow they might disrupt will make or break countless companiesin the coming years. Prerequisite: graduate standing.Credit 3 units.
T55 ETEM 585 MEM CapstoneThe MEM capstone course is the culmination of the Masterof Engineering Management degree program. Taken at theend of the program, the capstone course gives each student(as part of a team) an opportunity to apply a cross-sectionof knowledge and skills gained toward a current challenge/project from industry, government or nonprofit organization.Student teams are encouraged to interface with the sponsoringorganization throughout the semester.Credit 3 units.
Construction ManagementVisit online course listings to view semester offerings forT64 CNST (https://courses.wustl.edu/CourseInfo.aspx?sch=T&dept=T64).
T64 CNST 523A Construction Cost EstimatingConstruction cost estimating explores the application ofcost estimating principles and estimating within a projectmanagement framework in conjunction with scope definition,quality control, planning and scheduling, risk management andloss prevention techniques, local conditions, information andcommunication, and working relations with stakeholders. Usinga single building project, the course introduces the applicationof basic quantity surveying and estimating principles using amethodical approach with suggested check lists and techniquesfor arriving at a reliable cost estimate including direct, indirect,and contingency costs and profits. Student's estimating effortsculminate with a competitive bid day scenario. Prerequisites:T64-573 or permission of instructor.Credit 3 units.
T64 CNST 550D Heavy Civil Construction ManagementThis course provides a broad perspective of the means,methods, and procedures associated with managing civilengineering and heavy construction projects. Topics includestrategic bidding and estimating, heavy equipment, marineconstruction heavy civil operations, and bridge building.Integration of scheduling, estimating, and construction contractswith a project-based approach. Prerequisites: graduate standingand CNST 573 or permission of instructor.Credit 3 units.
T64 CNST 572 Legal Aspects of ConstructionA survey of the legal problems of the construction manager,including but not limited to liability in the areas of contracts,agency, torts, insurance, bad judgment and oversight.Prerequisite: graduate standing.Credit 3 units.
T64 CNST 573 Fundamentals in Construction ManagementIn this course, students will be exposed to the overallconstruction process, from initial concept through startup ofthe completed facility. The focus is to provide familiarizationwith the construction and contracting process and with potentialinvolvements by construction managers in the planning, design,construction, and post-construction phases. Additional topicsare introduced to provide a foundation that will prepare students
91
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
for future construction management coursework. Case studiesand industry examples are used throughout the course toauthenticate the lectures and assignments. Prerequisite:graduate standing.Credit 3 units.
T64 CNST 574C Construction Project Planning andSchedulingProject planning and scheduling process utilizing currenttechniques including critical path analysis for effective andlogical scheduling of construction projects. Identification ofproject activities and their relationships; schedule development,analysis, and updating; relationship of project costs andresources to the schedule; legal implications; effectivecommunication of schedule information; development ofprocedures to monitor actual field progress; computer applicationin project scheduling. Prerequisite: T64-573 or permission ofinstructorCredit 3 units.
T64 CNST 579 Advanced Construction ManagementA comprehensive study of the operations encountered in themanagement of a construction firm. Topics include estimating,scheduling, forms of contracts, risk analysis and management,extra work orders, claims and disputes, construction safety, andcontract close-out. Prerequisites: T64 573, T64 574, T64 523A,and permission of the program director.Credit 3 units.
T64 CNST 580B Digital Construction TechnologyThis course focuses on BIM's philosophy of integration betweendesigners, construction professionals and owners, in orderto overcome both technological and implementation changesusing Virtual Design and Construction (VDC) and IntegratedProject Delivery (IPD). VDC is a methodology that relies on amultidisciplinary collaboration of the digital simulation of design& construction. IPD, on the other hand, integrates people,systems, business structures and practices into a process tooptimize efficiency and productivity. In this course, studentswill learn about BIM's application by exploring 3D, 4D aspectsof BIM including geometry, spatial relationships, quantity takeoff, estimation and scheduling. Along with that, students alsowill learn about Virtual Design and Construction (VDC) andIntegrated Project Delivery (IPD) systems that are integralcomponents of successful BIM projects.Credit 3 units.
T64 CNST 581A MCM/MArch Capstone Project Phase 1This capstone course allows MCM/MArch joint-degreeprogram students to apply constructability principles to theirMArch degree projects (A46 ARCH 616) and to successfullydemonstrate how they have applied those principles.Constructability principles include analysis of the constructionmethods and procedures, project cost, time, value, quality,and safety. Phase 1 is to be taken simultaneously with A46ARCH 616 Degree Project. Phase 1 students will develop aconstructability review, analysis, and plan for their individualproject. Prerequisites: admission to MCM/MArch joint-degreeprogram, CNST 573, CNST 523A, and CNST 574C.Credit 1 unit.
T64 CNST 581B MCM/MArch Capstone Project Phase 2This capstone course allows MCM/MArch joint-degreeprogram students to apply constructability principles to theirMArch degree projects (A46 ARCH 616) and to successfullydemonstrate how they have applied those principles.Constructability principles include analysis of the constructionmethods and procedures, project cost, time, value, quality,and safety. Phase 2 is to be taken after completing A46ARCH 616 Degree Project. Phase 2 students will execute theconstructability plan developed in Phase 1 and prepare andpresent the deliverables. Prerequisite: CNST 581A.Credit 2 units.
Health Care OperationsVisit online course listings to view semester offerings for T71HLTHCARE (https://courses.wustl.edu/CourseInfo.aspx?sch=T&dept=T71&crslvl=5:8).
T71 HLTHCARE 501 Introductory Overview of OperationalExcellence in Health CareThis introductory course is designed to prepare students forthe Master's of Healthcare Operational Excellence program.Students will learn the fundamentals of operational excellenceprinciples and how the organizational complexities, regulatoryand economic framework, and nuances of healthcare impactthe ability to apply them. Students will research and exploreboth healthcare and non-healthcare examples of performanceimprovement and operational excellence efforts within differentorganizations and from different stakeholder perspectives.Throughout the course, students will gain an understandingof how the various methods, both social and technical, canplay an integral role in achieving operational excellence, andhow to identify and mitigate challenges and barriers. Specificmethods will include facilitating teams, change management,lean, six sigma, project management and the importance ofprinciple-based deployments rooted in changing behaviorsand transforming culture. By completing this introductoryoverview course, students will understand the level of personaltransformation in mindset and skills that will be necessary inorder to successfully impact the changes needed for health careoperational excellence.Credit 3 units.
T71 HLTHCARE 502 Facilitation Skills/Change ManagementThis course integrates strategy and organizational due diligencewith facilitation and change management strategies. Byexamining the relationship between employees, teams, andorganizations, students will explore each level and practiceassessing and facilitating team processes to maximizeproductivity and results for members and stakeholders. Thecourse addresses how to get things done when teams lackleadership or authority. Supporting topics include how to buildteams, how to manage meetings, how to build relationshipsbeyond the team, and how to keep teams effective over theirlife span. Students will learn processes of change and thetechniques of change to apply to various types of organizationswhile using useful design frameworks for facilitation.Credit 3 units.
92
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
T71 HLTHCARE 503 Lean Healthcare Concepts, Tools andLean Management SystemsStudents will learn and apply core Lean tools including ValueStream Mapping, 5S, Visual Management, Standard Work,JIT, Push/Pull, Error Proofing, and Daily Management. Criticalto applying Lean effectively, participants will also learn howto plan and lead Rapid Improvement Events and other groupactivities and tactics. This program has been adopted by BJCexecutive leadership and is identified as a core competency fortransformational efforts. Students will also learn the essentialelements of a Lean Management System and how to accomplishsustainable results and the development of a continuousimprovement culture.Credit 3 units.
T71 HLTHCARE 504 Six Sigma Concepts and ToolsThis course is designed to teach the tools associated with thefive DMAIC phases: Define, Measure, Analyze, Improve andControl. Some of the tools considered for inclusion are Criticalto Quality Matrix (CTQ), Failure Modes Effectiveness Analysis(FMEA), Statistical Analysis, Contingency Tables, HypothesisTesting, Confidence Intervals, Correlation & Regression,Analysis of Variation (ANOVA), Pareto Analysis, StatisticalProcess Control (SPC), Measurement Systems Analysis (MSA),Data Collection, Time Studies, Root Cause Analysis (RCA),Fishbone Diagramming, Cost of Poor Quality (COPQ), SIPOC,Detailed Process Mapping, Cause and Effect tools, and Designof Experiment (DOE).Credit 3 units.
T71 HLTHCARE 505 Healthcare Financial ModelsThis course provides an overview of how healthcare financingand reimbursement systems work in the United States. Thecourse focuses on the evolution of insurance, HMOs, andmanaged care. Students learn how hospitals, outpatient centers,clinicians, and other providers are reimbursed for the services.Private and public reimbursement; state rate setting; riskmanagement; new models of reimbursement; the role of billing,coding, and accounts receivable; and managed competition areexplained.Credit 3 units.
T71 HLTHCARE 506 Innovation Science and Human-Centered Design/Human FactorsThis course is intended to introduce the student to the conceptof "design thinking" as well as the process for innovating. It isdependent on an individual's ability to observe what peopleare actually doing and how they are doing it. It also requiresan iterative process for understanding, synthesizing, ideating,prototyping, testing, and implementing. Emphasis will be placedon how to build stakeholder/user personas and requirements aswell as how to map their emotional experience with a processto gain more insights than a quantitative analysis alone wouldprovide. Healthcare needs a "human-centered" design approachto navigate the blurring of lines between product and service,provider and patient. Designers of processes, methods, andsystems now must take the needs of the entire world -- includingthe environment -- into account. Human factors will need to beapplied during the iterative process to account for human factorsand the parameters of users and uses.Credit 3 units.
T71 HLTHCARE 507 Project Management in HealthcareThis course is a practical experiential orientation to projectmanagement processes, including relevance and application.Students will be exposed to the art of project leadercompetencies and emotional intelligence in addition to thescience of traditional project management methodologiesin a healthcare setting. Participants will engage in projectinitiation, including strategic organizational alignment, conceptof why, and charter development. Project planning willinclude scoping, elicitation of stakeholder requirements, workbreakdown structure, scheduling, cost, quality, resources,communications and risk management. Healthcare-relatedproject management and execution will be the focus of practicalapplication, along with other relevant examples from outside ofthe healthcare industry. Learners will apply the managementof triple constraint (time, cost, schedule) as well as skills toalign executive sponsor(s) and key stakeholders. Exposure willinclude disciplines of execution, monitoring, and controlling andclosing processes. The course will integrate core concepts ofinitiating change, portfolio and program management, businessanalysis, performance improvement, and effective facilitation in ahealthcare setting.Credit 3 units.
T71 HLTHCARE 508 Capstone SeminarThis course integrates the learning from all disciplines andsubject matter presented in the Master's in HealthcareOperational Excellence program to complete a comprehensive,practical project in a healthcare-related organization. It willinclude a summary of the key topics covered within the programand how these apply to student's projects. The course will alsofocus on leading organizational change and fostering a cultureof continuous improvement in healthcare and related serviceorganizations into the future.Credit 3 units.
T71 HLTHCARE 509 Capstone ProjectThe capstone project incorporates operational excellenceprinciples, the lean management system, rapid cycleimprovement methods, data analysis, change management,facilitation, project management and healthcare cultural issues,thereby integrating the lessons learned through the course workto demonstrate students' mastery of operational excellencein healthcare. Students will work in multidisciplinary teams,delivering a final project that applies their cumulative coursework within a context of real industry work.Credit 3 units.
Information ManagementVisit online course listings to view semester offerings forT81 INFO (https://courses.wustl.edu/CourseInfo.aspx?sch=T&dept=T81&crslvl=5:8).
T81 INFO 506 Fundamentals of Information TechnologyThis course is designed to provide a comprehensive survey ofthe information technology field. The enterprise relies heavilyon information technology to generate value, efficiency, andeffectiveness. As such, organizational leaders must ensurethat the enterprise transforms to keep pace in the competitiveenvironment. Globalization, mergers and acquisitions, andthe proliferation of new business and operating models
93
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
require management to continuously reconsider technologyinfrastructures, organizational structures, process re-engineering, outsourcing, innovation, technology effectiveness,and the creation and management of data and knowledge.Given these challenges and opportunities, the IT professionalhas never been more crucial to organizational success. In thiscontext, students will become familiar with core IT concepts,processes, and technology and gain an increased understandingof the crucial role of IT in the modern enterprise.Credit 3 units.
T81 INFO 517 Operational Excellence & Service DeliveryThis course examines needed management skills and processesfor the efficient and effective functioning of IT infrastructure andoperational environments to deliver the right set of servicesat the right quality and at the right costs for internal andexternal users and customers. Specific emphasis is placedon understanding the roles of IT operations, including systemadministration, network administration, help desk services,asset management, DevOps, and reporting. Students willstudy the application of industry best practice frameworksfor the management of IT infrastructure, operations, anddevelopment. Frameworks covered include the InformationTechnology Infrastructure Library (ITIL) and Control Objectivesfor Information and Related Technology (COBIT). Through theapplication of continuous service improvement, students willunderstand the IT service life cycle and be able to assess theeffectiveness of processes and services.Credit 3 units.
T81 INFO 540 IT Architecture & InfrastructureThis course will demonstrate the importance of understandingorganizational strategies and goals and then designing anddeploying an information technology (IT) infrastructure thatsupports those strategies and goals. The course will showcasehow fundamental IT building blocks are integrated in meaningfulways in order to support IT services that drive core businessoutcomes. Through a hands-on enterprise architecture designproject, students will learn to design IT infrastructure in arational, innovative, and cost-effective manner. We will covera range of enterprise architecture design considerations thatare commonly faced by organizations as they enhance theirservices, launch new products, or expand to new markets.Credit 3 units.
T81 INFO 558 Applications of Deep Neural NetworksDeep learning is a group of exciting new technologies forneural networks. Through a combination of advanced trainingtechniques and neural network architectural components, itis now possible to create neural networks of much greatercomplexity. Deep learning allows a neural network to learnhierarchies of information in a way that is like the functioningof the human brain. This course will introduce the student tocomputer vision with Convolution Neural Networks (CNN),time series analysis with Long Short-Term Memory (LSTM),classic neural network structures, and application to computersecurity. High Performance Computing (HPC) aspects willdemonstrate how deep learning can be leveraged on bothgraphical processing units (GPUs) and grids. The focus isprimarily on the application of deep learning to problems, withsome introductory mathematical foundations. Students will usethe Python programming language to implement deep learningusing Google TensorFlow and Keras. It is not necessary to know
Python prior to this course; however, familiarity with at leastone programming language is assumed. This course will bedelivered in a hybrid format that includes both classroom andonline instruction.Credit 3 units.
T81 INFO 563 IT Governance & Risk ManagementFirms with superior IT governance designed to support theorganization's strategy achieve better performance -- andhigher profits -- than firms with poor (or no) governance. Just ascorporate governance aims to ensure quality decisions about allcorporate assets, IT governance links IT decisions with companyobjectives and monitors performance and accountability.This course shows how the design and implementation ofan IT governance system can transform IT from an expenseto a profitable investment. Essential to IT governance is riskmanagement. In this regard, students will learn key aspects ofmanaging risk, including risk identification, risk quantification,risk monitoring, risk control, and risk mitigation. Particularfocus is placed on project risk management and understandingthe process of risk identification, assessment, prevention,mitigation, and recovery. The course will also cover the rolesof IT governance, auditing, and control of the confidentiality,integrity, and availability of data.Credit 3 units.
T81 INFO 570 Leadership Seminar for TechnologyProfessionalsThis seminar is designed to develop the leadership capacityof professionals working in the information technology (IT)and cybersecurity fields. Although domain expertise plays animportant role in the success of a technology professional, it iswhen this expertise is integrated with the ability to lead peoplethat transforms the merely competent into multidimensionalforce multipliers for the organization. In this course, students willparticipate in an immersive seminar-based learning experiencetargeted toward professional and personal development on arange of essential leadership skills. Students will benefit frominteraction with industry experts in the IT and cybersecurityfields and receive coaching support to achieve professionaland personal goals. Each student will complete a series ofself-assessments and multi-rater assessments as well as apersonal leadership development plan to gain insight and buildcompetencies critical to effective leadership. Topics includecreating a shared vision, strategy development, building andsustaining a healthy culture, essentials of finance and budgeting,driving results, energizing people for performance, innovation,emotional intelligence, navigating organizational politics,managing up, negotiations, stress resilience, talent coaching anddevelopment, effective communication, and time management.Credit 3 units.
T81 INFO 574 Foundations of AnalyticsThe steeply decreasing costs of gathering, storing, andprocessing data have created a strong motivation fororganizations to move toward "data-driven" approaches toproblem solving. As such, data analytics continues to growrapidly in importance across industry, government, and nonprofitorganizations. This course seeks to equip students with a widerange of data analytics techniques that serve as the foundationfor a broad range of applications, including descriptive,inferential, predictive, and prescriptive analytics. Students willlearn the process of building a data model as well as a varietyof analytics techniques and under what situations they are best
94
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
employed. Through lectures and practical exercises, studentswill become familiar with the computational mathematics thatunderpin analytics; the elements of statistical modeling andmachine learning; model interpretation and assessment; andstructured and unstructured data analysis. Students will alsoundertake a project to build an analytical model using a "real-world" dataset.Credit 3 units.
T81 INFO 575 Enterprise Data ManagementOrganizations have begun generating, collecting, andaccumulating more data at a faster pace than ever before.The advent of "Big Data" has proven to be both opportunityand challenge for contemporary organizations who are awashin — even drowning in — data but starved for knowledge.Unfortunately, organizations have not developed comprehensiveenterprise data strategy and management (EDM) practices thattreat data as a strategic imperative. EDM is a comprehensiveapproach to defining, governing, securing, and maintainingthe quality of all data involved in the business processes of anorganization. EDM enables data-driven applications and decisionmaking by establishing policies and ownership of key data typesand sources. The ultimate goal is to create a strategic contextfor the technology underpinnings of data life cycle managementand to ensure good stewardship of an organization's data.This course will cover the critical components of buildingan enterprise data strategy, including but not limited to datastrategy, data governance, data security, data architecture, dataquality, data ownership, and metadata management.Credit 3 units.
T81 INFO 576 Analytics ApplicationsThis course builds on the content taught in Enterprise DataManagement and Foundations of Data Analytics. It focuseson the strategic, operational, tactical, and practical use of dataanalytics to inform decisions within an organization across arange of industry and government sectors as well as withinorganizational functions. Students will be introduced to specificanalytics techniques that are used currently by practitionersin areas of diagnostic, descriptive, predictive, and prescriptiveanalytics. Students will learn the critical phases of analyticsincluding data preparation, model development, evaluation,validation, selection, and deployment. In so doing, students willlearn to apply data analytics in order to optimize organizationalprocesses, improve performance, and inform decision-making.Credit 3 units.
T81 INFO 577 Applied Data Science for PractitionersOrganizations are rapidly transforming the way they ingest,integrate, store, and serve data and perform analytics. In thiscourse, students will learn the steps involved with designingand implementing data science projects. Topics addressedinclude ingesting and parsing data from various sources, dealingwith messy and missing data, transforming and engineeringfeatures, building and evaluating models, and visualizing results.Using Python as well as tools such as Numpy, Pandas, andScikit-learn, students will complete a practical data scienceproject that addresses the entire design and implementationprocess. Students will also become familiar with the bestpractices and current trends in data science, including writingelegant code, documenting and version controlling, creatingreproducible research in container platforms, and working in acloud environment. Upon completion of the course, students willemerge equipped with data science knowledge and skills thatcan be applied from day one on the job.
Credit 3 units.
T81 INFO 585 CapstoneThis capstone course is the culmination of the Masters ofInformation Systems Management program. The capstoneproject provides the opportunity for students to employ theknowledge and skills they have gained from their course workin a rigorous and systematic manner. Projects are sponsored byexternal corporate, government, and non-profit organizations,and they provide the opportunity for students to delivermeaningful research and recommendations for "real-world" ITchallenges and problems.Credit 3 units.
Cybersecurity ManagementVisit online course listings to view semester offerings forT83 CYBER (https://courses.wustl.edu/CourseInfo.aspx?sch=T&dept=T83).
T83 CYBER 559 Introduction to CybersecurityThis course is intended as a comprehensive introduction to thecybersecurity field. It covers a broad range of cybersecurityterms, definitions, historical perspectives, concepts, processes,technologies, and trends, with a focus on managing risk and theemployment of cybersecurity as an organizational enabler.Credit 3 units.
T83 CYBER 560 Cybersecurity Technical FundamentalsThis course presents a comprehensive survey of cybersecuritytechnology, including basic theory and concepts. Students willgain hands-on familiarity with cybersecurity technology throughlab exercises, in-class studios, and scenarios. Topics coveredinclude security considerations surrounding operating systems,the web, email, databases, wireless technology, the cloud,and the Internet of Things. Also addressed are cryptography,secure software design, physical security, and human factors incybersecurity.Credit 3 units.
T83 CYBER 561 Oversight for Excellence: CybersecurityManagement and GovernanceThis course takes a comprehensive approach to themanagement of the organizational cybersecurity function. It alsoexplores the principles of information technology governance.Course work provides a deeper understanding of best practicesfor managing cybersecurity processes and meeting multipleneeds of enterprise management by balancing the void betweenbusiness risks, technical issues, control needs, and reportingmetrics. Toward this end, the course addresses a range of topicsnecessary for success, including the elements of and how toestablish a governance program, cybersecurity managementframeworks, developing and implementing a cybersecuritystrategy, deploying cybersecurity policy and controls, ensuringstandards and regulatory compliance, functional and budgetaryadvocacy, interfacing with the C-suite and board, and talentacquisition and development.Credit 3 units.
95
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
T83 CYBER 562 Efficient and Effective CybersecurityOperationsIn this course, students will gain understanding of what ittakes to manage the people, processes, and technologyneeded for effective and efficient day-to-day cybersecurityoperations. Using the Cybersecurity Operations Center(CSOC) as the fundamental exemplar, students will learn thefunctions and processes that comprise a typical CSOC, withan underlying focus on continually optimizing operations foragility and performance. Options for structuring the CSOC willbe examined along with core CSOC functions and processes,such as threat intelligence; monitoring, detection, and threatassessment; vulnerability management; incident response;prevention, including awareness training; partner and third-partycoordination; analytics, metrics, and reporting; training; andCSOC technologies and instrumentation.Credit 3 units.
T83 CYBER 563 Enterprise Network SecurityThis course presents a detailed and comprehensive study ofthe architecture and defensive approaches to protect enterprisenetwork environments against cyber threats. Students will gainpractical experience in secure network architectures and designapproaches. Using a building-block approach to case studiesand design exercises, the course will establish the value ofapplied foundational security frameworks and system models.Specific topics include defensive network design, advancedtreatment of appropriate security implementation tools andtechniques, boundary defense, secure wireless and mobilitysolutions, remote and business partner access, and third-partyand vendor interactions to ensure appropriate enterprise networksolutions are implemented.Credit 3 units.
T83 CYBER 564 Access Control and Identity ManagementBusiness advancements due to technologies such as the cloud,mobility, and the need to access information from anywhereusing any device have made identity management and accesscontrol a critical component of cybersecurity. In this course,students will gain an understanding of organizational andtechnical identity management and access control frameworks.They will also learn central concepts such as least-privilegedaccess, authentication, and authorization, which protectapplications and systems from unapproved access. Topicscovered include single sign-on, privileged account management,provisioning, role management, and directory services. Studentswill complete a "real-world" identity management and accesscontrol business case to identify risks and controls and to createa strategy and roadmap to address challenges and proposesolutions.Credit 3 units.
T83 CYBER 565 Cybersecurity AnalyticsThis course provides an introduction to use of data analytics insupport of an organization's cybersecurity function. The courseis designed to increase student understanding of how dataanalytics can be used to manage security and how data analyticscan be used in support of risk-based assessment and decisionmaking. Students who complete this course successfully willbe able to apply data analytics techniques and tools to helporganizations discover anomalies pertaining to cyber threats;to implement, assess and monitor basic security functions; torespond to emerging threats or prioritized requests as defined by
organizational stakeholders; to depict cybersecurity risk posturewithin the context of compliance and regulatory requirements;and to construct a comprehensive cybersecurity analyticsframework.Credit 3 units.
T83 CYBER 566 Cybersecurity Risk ManagementIn this course, students will gain deeper appreciation of thechallenges faced by enterprises when addressing cybersecurityrisks. The course will cover the evolution of cyber threats,including attacker methods and their targets across differentindustries. Students will be able to understand the differencesbetween enterprise, operational and cybersecurity riskmanagement and the role that each play (or should play) inmanaging risks to an organization. Students will gain technicalunderstanding of industry-leading frameworks (COSO, ISO,NIST, FAIR) and become conversant with their strengths andweaknesses as well as the applicability and practicality of theirimplementation.Credit 3 units.
T83 CYBER 567 The Hacker Mindset: Cyber AttackFundamentalsThis course is designed to provide an introductory understandingof how offensive security techniques practically operate. Duringthis course, students will use hacking techniques to compromisesystems, collect data, and perform other tasks that fall under thegenerally understood use of the term "hacker." These techniqueswill be related to risk-based defensive security practices, witha view toward enhancing the student's understanding of whatit takes to be a successful "defender." By the conclusion of thecourse, students will have a baseline technical understanding ofhacking techniques; they will have executed offensive securityoperations and increased their technical understanding of what ittakes to deal with cyber threats.Credit 3 units.
T83 CYBER 568 Emerging Issues and Technology inCybersecurityEach new technology advancement brings with it promisesand challenges. Will it be used for good, or will it lead todisaster? This course examines contemporary and near-future cybersecurity threats and the potential security impactof new technologies. Topics include new forms of computingand communications and their implications for cybersecuritypractitioners as well as incipient threat vectors. Historical securityincidents will also be used to provide context and insight into therelationship of technology and security. Throughout the course,students will be challenged to develop strategies and responsesto deal with emerging technologies and threats in the ever-evolving cybersecurity domain.Credit 3 units.
T83 CYBER 569 Incident Response and Business ContinuityThis course focuses on the end-to-end process and methodsto deal with cybersecurity incidents. Using recent examples ofcyber breaches and incidents, students explore how CISOsreact and respond to these incidents and learn best practicesfor doing so. Topics include developing an incident responseplan, organizing an incident response team, leveraging cyberintelligence and external partners to aid in response, handlingpublic and private communications about the incident, andpost-breach restoration. Particular attention will be paid toestablishing a strong understanding of cybersecurity indicators
96
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
and motives for espionage activities from both an external androgue insider's perspective. Students will learn about host-basedand network incident response tools and digital forensic tools,including techniques and tactics for their effective use. Thissection of the course includes key "hands-on" activities that aretypically used in post-breach analysis and investigations, suchas the forensic analysis of network storage, hard drives, andmemory. Students will also become familiar with post-breachreport construction and examine the proper drafting and use ofsuch reports for submission to legal counsel, the courts, andorganizational leaders.Credit 3 units.
T83 CYBER 570 Managerial and Technical Approaches toCybersecurity AssuranceCredit 3 units.
T83 CYBER 587 Cloud SecurityToday's organizations are more and more focused on deliveringfaster results and better products and services and on doingthis securely via an ever-evolving technological landscape. Asa key component of the competitive landscape, cloud-basedtechnologies have enabled the critical capabilities, functionalityand innovations necessary to transform the way organizationssurvive and thrive in the competitive environment. As such, "thecloud" requires cybersecurity practitioners to think differentlyabout managing risk, producing resilient solutions, and dealingwith third-party providers. In this course, students will learn bestpractices for cloud security to include methods for architectingand applying security-related features in a cloud platform.Through case studies, standards, best practices, and studioexercises, students will develop the necessary skills to identifythe security challenges of a cloud environment in support of theongoing operations of the enterprise.Credit 3 units.
Construction ManagementThe Master of Construction Management/Master of Architecture(MCM/MArch) dual-degree program prepares architecturalstudents for the diverse roles within today's multidisciplinarydesign/construction process. Sam Fox School of Design & VisualArts architecture students can earn an MArch degree and anMCM degree in considerably less time than one would need topursue each degree separately.
The MCM is a 30-unit program designed for workingprofessionals. Students will be prepared for every aspectof leading a construction project or organization. Createdfor any professional of the built environment, our curriculumincorporates traditional themes like cost, time, risk and qualitymanagement with multidisciplinary topics such as business,finance, ethics and law. Lecture and lab-based educationprovides students with an environment for practical applicationutilizing best practices that address current issues anddevelopments in the industry. A 15-unit graduate certificate isalso offered and can be transferred into the degree at any time.
1. Graduate Certificate (15 units, 10-15 months to complete)
2. Part-time Master's Degree (30 units, 2.5 years+ to complete)
Contact: Kim Simpson
Phone: 314-935-2594
Website: https://sever.wustl.edu/degreeprograms/construction-management (https://sever.wustl.edu/degreeprograms/construction-management/)
FacultyProgram DirectorSteve BannesDirector of Graduate Studies, Construction ManagementInstructorMS, Southwest Baptist University
For a list of our program faculty (https://sever.wustl.edu/faculty/),please visit our website.
RequirementsMaster of ConstructionManagement/Master ofArchitecture (Dual DegreeProgram)Total units required: 30 (21 McKelvey School of Engineeringunits and 9 units of A46 Architecture courses)
In order to earn the degree, a student must have a cumulativegrade-point average of at least 2.70 over all courses appliedtoward the degree.
Code Title Units
Required: 18 units
CNST 523A Construction Cost Estimating 3
CNST 572 Legal Aspects of Construction 3
PRJM 584 Communication Excellence forInfluential Leadership
3
CNST 573 Fundamentals in ConstructionManagement
3
CNST 574C Construction Project Planning andScheduling
3
CNST 581A MCM/MArch Capstone Project Phase1
1
CNST 581B MCM/MArch Capstone Project Phase2
2
Elective: Choose 3 units
CNST 550D Heavy Civil Construction Management 3
INFO 506 Fundamentals of InformationTechnology
3
97
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
INFO 575 Enterprise Data Management 3
PRJM 526 The Art & Science of RiskManagement
3
PRJM 524 Hands-On With Traditional ProjectManagement
3
CYBER 559 Introduction to Cybersecurity 3
CNST 580B Digital Construction Technology 3
PRJM 582 Developing Leadership forProfessionals
3
PRJM 583 Human Performance in theOrganization
3
PRJM 585 Group Dynamics in Project TeamPerformance
3
ETEM 510 Understanding Emerging & DisruptiveTechnologies
3
Plus 9 units from Master of Architecture
Master of ConstructionManagementTotal units required: 30
In order to earn the degree/certificate, a student must have acumulative GPA of at least 2.70 over all courses applied towardthe degree/certificate.
Code Title Units
Required: 18 units
CNST 523A Construction Cost Estimating * 3
CNST 572 Legal Aspects of Construction * 3
CNST 573 Fundamentals in ConstructionManagement *
3
CNST 574C Construction Project Planning andScheduling *
3
PRJM 584 Communication Excellence forInfluential Leadership *
3
CNST 579 Advanced Construction Management 3
Technology Concentration: Choose 12 units
CNST 580B Digital Construction Technology 3
ARCH 436B BIM in Practice 3
ARCH 462H Information Modeling for SustainableDesign
3
ETEM 510 Understanding Emerging & DisruptiveTechnologies
3
INFO 506 Fundamentals of InformationTechnology
3
INFO 575 Enterprise Data Management 3
CYBER 559 Introduction to Cybersecurity 3
Project Management Concentration: Choose 12 units
CNST 550D Heavy Civil Construction Management 3
PRJM 526 The Art & Science of RiskManagement
3
PRJM 524 Hands-On With Traditional ProjectManagement
3
ARCH 447A Structures I 3
ARCH 448A Structures II 3
Leadership Concentration: Choose 12 units
PRJM 582 Developing Leadership forProfessionals
3
PRJM 585 Group Dynamics in Project TeamPerformance
3
PRJM 583 Human Performance in theOrganization
3
OB 524 Negotiation 3
* Courses required to earn a 15-unit Graduate Certificate inConstruction Management.
Cybersecurity ManagementSecuring an organization's data requires a combination oftechnical skills, innovative concepts and managerial acumen.The Master of Cybersecurity Management at WashingtonUniversity is a 30-unit part-time program designed for workingprofessionals. This program was developed with one criticalgoal: to educate professionals about how to manage the peopleand resources required to perform these tasks and to lead thecybersecurity functions of various organizations.
The curriculum provides students with the knowledge neededto protect from, defend against, respond to and recover aftercyber threats. Graduates of this program will be equipped todesign, engineer and assess global cybersecurity problems whilemaintaining the vision and strategy of the enterprise.
1. Graduate Certificate (15 units, 10-15 months to complete)
2. Part-time Master's Degree (30 units, 2.5 years+ to complete)
Contact: Kim Simpson
Phone: 314-935-2594
Website: https://sever.wustl.edu/degreeprograms/cyber-security-management (https://sever.wustl.edu/degreeprograms/cyber-security-management/)
98
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
FacultyProgram DirectorJoe ScherrerDirector of Graduate Studies, Cybersecurity Management andInformation Systems ManagementMS, Boston University
For a list of our program faculty (https://sever.wustl.edu/faculty/),please visit our website.
RequirementsMaster of CybersecurityManagementTotal units required: 30
In order to earn the degree/certificate, a student must have acumulative grade-point average of at least 2.70 over all coursesapplied toward the degree/certificate.
Code Title Units
Required: Choose 21 units
CYBER 560 Cybersecurity TechnicalFundamentals *
3
CYBER 561 Oversight for Excellence:Cybersecurity Management andGovernance *
3
CYBER 562 Efficient and Effective CybersecurityOperations *
3
CYBER 566 Cybersecurity Risk Management * 3
CYBER 567 The Hacker Mindset: Cyber AttackFundamentals *
3
INFO 570 Leadership Seminar for TechnologyProfessionals
3
CYBER 587 Cloud Security 3
Cybersecurity Management Emphasis: Choose 9units
CYBER 563 Enterprise Network Security 3
CYBER 564 Access Control and IdentityManagement
3
CYBER 565 Cybersecurity Analytics 3
CYBER 568 Emerging Issues and Technology inCybersecurity
3
CYBER 569 Incident Response and BusinessContinuity
3
CYBER 570 Managerial and TechnicalApproaches to CybersecurityAssurance
3
Cybersecurity Design & Engineering Emphasis:Choose 9 units
CSE 571S Network Security 3
CSE 523S Systems Security 3
CSE 569S Advanced IoT, Real-Time, andEmbedded Systems Security
3
CSE 637S Software Security 3
CSE 433S Introduction to Computer Security 3
Bridge Course: 3 units**
CYBER 559 Introduction to Cybersecurity 3
* Courses required to earn a 15-unit Graduate Certificate inCybersecurity Management.
** The bridge course is offered for students with limited tono cybersecurity background. The successfully completedcourse will count toward the 9 required elective units.
Engineering ManagementThe newly revised Master of Engineering Management programbridges the gap between technology and business by providingstudents with the technical expertise and leadership skillsneeded to advance their careers. The 30-unit Master ofEngineering Management is available for full-time or part-timestudents.
This program brings together Washington University faculty andindustry-leading experts to help students learn to strategize,lead, make informed decisions and manage financials.Courses prepare individuals to utilize common managementtactics across all of the engineering disciplines. Students canchoose from concentrations in cybersecurity, data analytics, orleadership and organizational behavior.
Contact: Kim Simpson
Phone: 314-935-2594
Website: https://sever.wustl.edu/degreeprograms/engineering-management (https://sever.wustl.edu/degreeprograms/engineering-management/)
FacultyProgram DirectorPeggy Kepuraitis Matson (https://sever.wustl.edu/faculty/Pages/Peggy-Kepuraitis-Matson.aspx)Director of Graduate Studies, Engineering Management andProject ManagementMBA, University of ChicagoMSEECS, University of Chicago
For a list of our program faculty (https://sever.wustl.edu/faculty/),please visit our website.
99
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
RequirementsMaster of EngineeringManagementTotal units required: 30
In order to earn the degree, a student must have a cumulativegrade-point average of at least 2.70 over all courses appliedtoward the degree.
Code Title Units
Required: 21 units
ETEM 504 Engineering Management & FinancialIntelligence *
3
ETEM 505 Decision-Making & Optimization * 3
ETEM 506 Technology Strategy & Marketing * 3
ETEM 510 Understanding Emerging & DisruptiveTechnologies *
3
ETEM 585 MEM Capstone 3
PRJM 523 Project Planning Methodologies * 3
PRJM 583 Human Performance in theOrganization
3
Applied Data Analytics Emphasis: Choose 9 units
INFO 506 Fundamentals of InformationTechnology
3
INFO 574 Foundations of Analytics 3
INFO 575 Enterprise Data Management 3
INFO 576 Analytics Applications 3
INFO 577 Applied Data Science for Practitioners 3
Computer Science and Security Emphasis: Choose 9units
CYBER 559 Introduction to Cybersecurity 3
CYBER 560 Cybersecurity TechnicalFundamentals
3
CYBER 567 The Hacker Mindset: Cyber AttackFundamentals
3
CSE 501N Introduction to Computer Science 3
CSE 502N Data Structures and Algorithms 3
Organizational Development & ManagementEmphasis: Choose 9 units
PRJM 582 Developing Leadership forProfessionals
3
PRJM 585 Group Dynamics in Project TeamPerformance
3
PRJM 584 Communication Excellence forInfluential Leadership
3
OB 524 Negotiation 3
MGT 501C CEL Entrepreneurial Consulting Team 3
Operational Excellence and Project ManagementEmphasis: Choose 9 units
PRJM 524 Hands-On With Traditional ProjectManagement
3
PRJM 525 Project Management the Agile Way 3
PRJM 526 The Art & Science of RiskManagement
3
PRJM 527 Strategies of Projects, Programs &Portfolios
3
HLTHCARE 502 Facilitation Skills/ChangeManagement
3
HLTHCARE 503 Lean Healthcare Concepts, Tools andLean Management Systems
3
HLTHCARE 504 Six Sigma Concepts and Tools 3
CNST 572 Legal Aspects of Construction 3
CNST 573 Fundamentals in ConstructionManagement
3
CNST 523A Construction Cost Estimating 3
* Courses required to earn a 15-unit Graduate Certificate inEngineering Management.
Health Care OperationalExcellenceThe quality and efficiency of health care systems are ofincreasing importance at every level and in every dimensionof society. The 30-unit Master of Health Care OperationalExcellence is designed to prepare students to create, lead andmanage the continuous improvement of processes in clinicaloperations. The 15-unit Graduate Certificate allows students totake the courses that make up the core curriculum of the degreeprogram and to then apply those credits toward the degree at afuture date.
This program is designed to create thought leaders in continuousimprovement, employee engagement, value-stream mappingand operational excellence. Because it is focused on continuousimprovement methodologies, the curriculum offered by thisdegree program prepares leaders in service, health care andother operational environments to utilize a tool set that allowsthem to eliminate waste, innovate, and improve patient andemployee experiences in St. Louis and around the globe.
1. Graduate Certificate (15 units, 10-15 months to complete)
2. Part-time Master's Degree (30 units, three years tocomplete)
100
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Contact: Kim Simpson
Phone: 314-935-2594
Website: https://sever.wustl.edu/degreeprograms/healthcare-operational-excellence (https://sever.wustl.edu/degreeprograms/healthcare-operational-excellence/)
FacultyProgram DirectorLeroy Love (https://sever.wustl.edu/faculty/Pages/Leroy-Love.aspx)Director of Graduate Studies in Health Care OperationalExcellenceMS, Missouri University of Science & TechnologyBS, University of Missouri-Columbia
For a list of our program faculty (https://sever.wustl.edu/faculty/),please visit our website.
RequirementsMaster of Health Care OperationalExcellenceTotal units required: 30
In order to earn the degree, a student must have a cumulativegrade-point average of at least 2.70 over all courses appliedtoward the degree.
Code Title Units
Required: 27 units
HLTHCARE 501 Introductory Overview of OperationalExcellence in Health Care *
3
HLTHCARE 502 Facilitation Skills/ChangeManagement *
3
HLTHCARE 503 Lean Healthcare Concepts, Tools andLean Management Systems *
3
HLTHCARE 504 Six Sigma Concepts and Tools * 3
HLTHCARE 505 Healthcare Financial Models 3
HLTHCARE 506 Innovation Science and Human-Centered Design/Human Factors
3
HLTHCARE 507 Project Management in Healthcare * 3
HLTHCARE 508 Capstone Seminar 3
HLTHCARE 509 Capstone Project 3
Elective: Choose 3 units
PRJM 582 Developing Leadership forProfessionals
3
PRJM 583 Human Performance in theOrganization
3
PRJM 584 Communication Excellence forInfluential Leadership
3
* Courses required to earn a 15-unit Graduate Certificate inHealth Care Operational Excellence.
Information SystemsManagementBuilding on more than 30 years of innovative graduate educationand professional development programs in informationtechnology, the McKelvey School of Engineering at WashingtonUniversity in St. Louis now offers a 30-unit Master of InformationSystems Management. This new program combines the best oftwo very successful programs that have attracted students fromacross the world: the Master of Information Systems and theMaster of Information Management.
This integrated program is a key component of WashingtonUniversity's strategy to prepare the next generation oftechnology leaders. Offered through the Sever Institute,the 30-unit Master of Information Systems Managementbrings together candidates with interests and backgroundsin technology and management into a blend of outstandingcourses led by Washington University faculty and industryleaders in information, systems, management and leadership.Students may pursue the program full-time or part-time. A 15-unit Graduate Certificate in Information Systems Management isalso offered and can be transferred into the degree program atany time.
Contact: Kim Simpson
Phone: 314-935-2594
Website: https://sever.wustl.edu/degreeprograms/information-systems-management (https://sever.wustl.edu/degreeprograms/information-systems-management/)
FacultyProgram DirectorJoe Scherrer (https://sever.wustl.edu/faculty/Pages/Joe-Scherrer.aspx)Director of Graduate Studies, Cybersecurity Management andInformation Systems ManagementMS, Boston University
For a list of our program faculty (https://sever.wustl.edu/faculty/),please visit our website.
101
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
RequirementsMaster of Information SystemsManagementTotal units required: 30
In order to earn the degree/certificate, a student must have acumulative grade-point average of at least 2.70 over all coursesapplied toward the degree/certificate.
Code Title Units
Required: 18 units
INFO 517 Operational Excellence & ServiceDelivery *
3
INFO 540 IT Architecture & Infrastructure * 3
INFO 563 IT Governance & Risk Management * 3
INFO 575 Enterprise Data Management * 3
CYBER 559 Introduction to Cybersecurity * 3
INFO 585 Capstone 3
Cybersecurity Emphasis: Choose 12 units
CYBER 560 Cybersecurity TechnicalFundamentals
3
CYBER 561 Oversight for Excellence:Cybersecurity Management andGovernance
3
CYBER 562 Efficient and Effective CybersecurityOperations
3
CYBER 567 The Hacker Mindset: Cyber AttackFundamentals
3
Management Emphasis: Choose 12 units
PRJM 582 Developing Leadership forProfessionals
3
PRJM 583 Human Performance in theOrganization
3
PRJM 584 Communication Excellence forInfluential Leadership
3
INFO 570 Leadership Seminar for TechnologyProfessionals
3
Applied Data Analytics and Machine LearningEmphasis: Choose 12 units
INFO 558 Applications of Deep Neural Networks 3
INFO 574 Foundations of Analytics 3
INFO 576 Analytics Applications 3
INFO 577 Applied Data Science for Practitioners 3
Mathematical Data Analytics Emphasis: Choose 12units
CSE 417T Introduction to Machine Learning 3
Math 494 Mathematical Statistics 3
ESE 415 Optimization 3
CSE 511A Introduction to Artificial Intelligence 3
CSE 514A Data Mining 3
CSE 517A Machine Learning 3
AI & Machine Learning Emphasis: Choose 12 units
CSE 417T Introduction to Machine Learning 3
CSE 511A Introduction to Artificial Intelligence 3
CSE 514A Data Mining 3
CSE 517A Machine Learning 3
CSE 519T Advanced Machine Learning 3
Bridge Course: 3 units
INFO 506 Fundamentals of InformationTechnology
3
* Courses required to earn a 15-unit Graduate Certificate inInformation Systems Management.
Project ManagementSuccessful project managers are capable of consistentlyexecuting complex projects on time and on budget. There arekey components that make this possible, such as the ability tomotivate and lead a team, formulate effective plans, understandrisk, and communicate effectively with stakeholders.
The curriculum of this program was designed to teach theexecution of mission-critical projects and to help studentsconquer the three project environments of people, processesand strategies. The 30-unit Master of Project Management isoffered in a part-time evening format for working professionals.A 15-unit Graduate Certificate in Project Management is alsooffered and can be transferred into the degree at any time.
Contact: Kim Simpson
Phone: 314-935-2594
Website: https://sever.wustl.edu/degreeprograms/project-management (https://sever.wustl.edu/degreeprograms/project-management/)
FacultyProgram DirectorPeggy Kepuraitis Matson (https://sever.wustl.edu/faculty/Pages/Peggy-Kepuraitis-Matson.aspx)Director of Graduate Studies, Engineering Management andProject ManagementMBA, University of ChicagoMSEECS, University of Chicago
For a list of our program faculty (https://sever.wustl.edu/faculty/),please visit our website.
102
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
RequirementsMaster of Project ManagementTotal units required: 30
In order to earn the degree/certificate, a student must have acumulative grade-point average of at least 2.70 over all coursesapplied toward the degree/certificate.
Code Title Units
Required: 21 units
PRJM 523 Project Planning Methodologies * 3
PRJM 524 Hands-On With Traditional ProjectManagement *
3
PRJM 525 Project Management the Agile Way * 3
PRJM 526 The Art & Science of RiskManagement *
3
PRJM 527 Strategies of Projects, Programs &Portfolios *
3
PRJM 583 Human Performance in theOrganization
3
PRJM 584 Communication Excellence forInfluential Leadership
3
Applied Data Analytics Emphasis: Choose 9 units
INFO 506 Fundamentals of InformationTechnology
3
INFO 574 Foundations of Analytics 3
INFO 575 Enterprise Data Management 3
INFO 576 Analytics Applications 3
INFO 577 Applied Data Science for Practitioners 3
Technology, Computer Science and SecurityEmphasis: Choose 9 units
ETEM 510 Understanding Emerging & DisruptiveTechnologies
3
CYBER 559 Introduction to Cybersecurity 3
CYBER 560 Cybersecurity TechnicalFundamentals
3
CYBER 567 The Hacker Mindset: Cyber AttackFundamentals
3
CSE 501N Introduction to Computer Science 3
CSE 502N Data Structures and Algorithms 3
Organizational Development & ManagementEmphasis: Choose 9 units
PRJM 582 Developing Leadership forProfessionals
3
PRJM 585 Group Dynamics in Project TeamPerformance
3
ETEM 504 Engineering Management & FinancialIntelligence
3
ETEM 506 Technology Strategy & Marketing 3
MGT 501C CEL Entrepreneurial Consulting Team 3
OB 524 Negotiation 3
Operational Excellence Emphasis: Choose 9 units
HLTHCARE 502 Facilitation Skills/ChangeManagement
3
HLTHCARE 503 Lean Healthcare Concepts, Tools andLean Management Systems
3
HLTHCARE 504 Six Sigma Concepts and Tools 3
CNST 573 Fundamentals in ConstructionManagement
3
CNST 523A Construction Cost Estimating 3
CNST 572 Legal Aspects of Construction 3
* Courses required to earn a 15-unit Graduate Certificate inProject Management.
Degrees OfferedAerospace Engineering (MS, DSc, PhD) (p. 76)
Biomedical Engineering (MS, PhD) (p. 17)
Computational & Data Sciences (PhD) (p. 25)
Computer Engineering (MS, PhD) (p. 29)
Computer Science (MEng, MS, PhD) (p. 29)
Construction Management (Master, Certificate) (p. 97)
Control Engineering (Master) (p. 43)
Cybersecurity Engineering (MS, Certificate) (p. 41)
Cybersecurity Management (Master, Certificate) (p. 98)
Data Mining and Machine Learning (Certificate) (p. 42)
Electrical Engineering (MS, DSc, PhD) (p. 43)
Energy, Environmental & Chemical Engineering (MEng, MS,PhD) (p. 58)
Engineering Data Analytics and Statistics (MS) (p. 43)
Engineering Management (Master, Certificate) (p. 99)
Health Care Operational Excellence (Master, Certificate)(p. 100)
Imaging Science & Engineering (Certificate) (p. 43)
Imaging Science (Interdisciplinary PhD) (p. 65)
Information Systems Management (Master, Certificate)(p. 101)
Materials Science & Engineering (p. 76) (MS, DSc (p. 76),PhD (p. 70))
Mechanical Engineering (MEng, MS, DSc, PhD) (p. 76)
Project Management (Master, Certificate) (p. 102)
Robotics (MEng) (p. 43)
103
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Systems Science & Mathematics (MS, DSc, PhD) (p. 43)
AdministrationDean's Office314-935-6350
Department of Biomedical Engineering314-935-6164
Department of Computer Science & Engineering314-935-6160
Department of Electrical & Systems Engineering314-935-5565
Department of Energy, Environmental & ChemicalEngineering314-935-6070
Department of Mechanical Engineering & Materials Science314-935-6047
Engineering Information Technology314-933-3333
Engineering Undergraduate Student Services314-935-6100
Engineering Graduate Student Services314-935-5830
Sever Institute314-935-5484
Admission ProceduresEligibilityWashington University encourages and gives full considerationto all applicants for admission and financial aid, without regard torace, color, age, religion, sex, sexual orientation, gender identityor expression, national origin, veteran status, disability or geneticinformation.
McKelvey School of Engineering is strongly interested inrecruiting, enrolling, retaining and graduating students fromdiverse backgrounds. Applications for admission by studentsfrom diverse backgrounds to any of our degree programs areencouraged and welcomed. To the greatest extent possible,students with disabilities are integrated into the studentpopulation as equal members.
To be considered for admission into a graduate degree program,applicants must hold a bachelor’s degree from an accreditedinstitution prior to starting the graduate program. Most of theengineering degree programs require a previous degree inscience, technology, engineering or mathematics.
Current engineering graduate students who wish to be admittedinto another engineering graduate program must be admittedat least one semester prior to their anticipated graduationsemester.
Students may be admitted to study for the PhD degree directlyfrom baccalaureate study or after undertaking other graduate orprofessional education, whether at Washington University or atanother accredited institution.
Application ProcessDegree programs set their own application deadlines, whichmust be no later than January 15 for doctoral programs. Master’sprogram deadlines are later; applicants should check deadlines(https://engineering.wustl.edu/prospective-students/graduate-admissions/Pages/application-process.aspx) through theMcKelvey School of Engineering. It is generally advantageous tothe applicant to complete the application well in advance of thedeadline.
The application (https://engineering.wustl.edu/prospective-students/graduate-admissions/Pages/default.aspx) is availableonline through the School of Engineering website. Applicationsare ready for final consideration after the required items from theapplication checklist have been submitted.
All applicants for full-time graduate programs are required tosubmit Graduate Record Examination (GRE) scores at the timeof application, with the exception of the Master of Engineeringdegree in the Biomedical Innovation program in BiomedicalEngineering. Official test scores are required at the time ofapplication.
Admission and financial aid awards are for a specific academicyear; students who do not matriculate that year must normallyreapply. Admitted students can request a deferral of admissionfor up to one year, but such special requests require approval ofboth the admitting program and the admissions office. Applicantsto whom admission is not offered may reapply for a futuresemester.
Admission of InternationalStudentsInternational students considering application to WashingtonUniversity for graduate study should have a general familiaritywith academic practices and university customs in the UnitedStates. All international students are required to presentevidence of their ability to support themselves financiallyduring graduate study. International students whose nativelanguage is not English must submit score reports from the Testof English as a Foreign Language (TOEFL). The test shouldbe taken in time for results to reach Washington Universitydirectly from Educational Testing Service (ETS) before theapplication deadline. Official test scores are required at the timeof application.
104
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
The TOEFL requirement may be waived during the applicationprocess with a minimum of three years of documented study at aU.S. institution or an institution in a country where English is theprimary language spoken.
Students Not Candidate forDegree (SNCD)SNCD admission may be granted to qualified students whohold a bachelor's degree or its equivalent, who wish to enrollin graduate courses on a non-degree basis, and who receiveapproval from a degree program. Examples include studentsin good standing at other graduate schools and students whowish to test their capabilities in a graduate setting. Students inthis category may take a maximum of 9 units, and they maylater apply to a degree program and transfer these units to meetdegree requirements. SNCD students are not eligible for Title IVFederal Funding.
Academic PoliciesThe policies below are relevant for DSc and master's studentsin the McKelvey School of Engineering. To view policies forPhD students, please refer to the Academic Information (http://bulletin.wustl.edu/grad/gsas/phd/academic/) section of theGraduate School Bulletin.
AttendanceEach professor in the McKelvey School of Engineering decideshow many absences a student may have and still passthe course. Professors are expected to give reasonableconsideration to unavoidable absences and to the feasibility ofmaking up work that has been missed. Students are expectedto explain to their professors the reasons for any absencesand to discuss with them the possibility of making up missedassignments.
Units and GradesA credit unit is the equivalent of one recitation or lecture houra week for one semester or one laboratory of two and one-halfhours a week for one semester. A student's work is rated interms of the following system of grades and grade points:
Grade Points per Unit
A or A+ 4.0
A- 3.7
B+ 3.3
B 3.0
B- 2.7
C+ 2.3
C 2.0
C- 1.7
D+ 1.3
D 1.0
D- 0.7
F 0.0
P# Pass
F# Failing
S Satisfactory
U Unsatisfactory
I Course work incomplete
X No final exam taken
W Withdrawal
WLA Withdraw leave of absence
R Retaken course
L Successful audit
Z Unsuccessful audit
N No grade submitted
Auditing a CourseA student may register for some courses as an auditor. Thecriteria for a successful audit are determined by the courseinstructor, and the student should work with the instructor toensure that these criteria are understood. Generally speaking,the completion of homework and the taking of exams are notrequired. The grade L signifies a successful audit, and thegrade Z signifies an unsuccessful audit. Neither grade affectsa student's grade-point average, nor do the course's unitscontribute to the student's total cumulative degree-seeking units.Audit courses do not count toward any degree; however, auditunits do count toward full-time status determination and tuition.Class attendance is normally required to earn a grade of L;unsatisfactory attendance will result in a grade of Z. Computerscience courses do not allow students with auditor status.
Incomplete GradesThe grade I (incomplete) indicates that the work of a student hasbeen generally acceptable but that extenuating circumstancesled to certain requirements not having been met. The grade ofX is recorded when a student is absent from a midterm or finalexamination because of illness or other unavoidable reason,provided the work has been otherwise satisfactory.
Grades of X and I must be removed no later than the close of thenext full semester a student is in residence. On failure to makeup an X or I grade, the student will not receive credit for thecourse, and the grade will be changed to F unless the studenthas been explicitly excused by the associate dean.
A student should not re-enroll in a class to complete an I grade.Enrolling in the class a second time invokes the Course RetakePolicy (p. 106).
105
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Course Retake PolicyIf an engineering student repeats a course at WashingtonUniversity, only the second grade is included in the calculationof the GPA. Both enrollments and grades are shown on thestudent's official transcript. The symbol R next to the firstenrollment's grade indicates that the course was later retaken.Credit toward the degree is allowed for the latest enrollment only.
Additional Course Information forGraduate StudentsTo count toward a graduate degree, courses must be offered atthe graduate level, taken for a grade, and approved in advanceby the student's adviser and program as eligible to count towardthe student's degree. Depending on the program, graduate-levelwork begins with courses numbered at the 400 or 500 level.Audited courses and courses taken on a pass/fail basis cannotbe counted toward the degree. Students should consult theiradvisers regarding these options.
Communication Tools Course forInternational StudentsInternational students who are required to submit a TOEFLor IELTS score and who have not studied previously for aminimum of three years in a U.S. school will be required totake an Engineering Communication Tools course during theirfirst semester. This course does not count toward degreerequirements and does not require any additional tuition; it isgraded on a pass/fail basis, so it is not factored into the grade-point average.
Transfer CreditA maximum of 6 units of graduate credit obtained at institutionsother than Washington University may be applied toward themaster's degree. Approved transfer credit for undergraduatecourse work completed at a different institution cannot be posteduntil a letter is received from that institution's registrar, whichstates the graduate-level course work was not used to satisfyundergraduate degree requirements.
A maximum of 24 units of graduate credit earned at institutionsother than Washington University may be applied toward theDoctor of Philosophy degree, and a maximum of 48 units maygo toward the Doctor of Science degree. Transfer credit mustbe recommended by the adviser, department or program chairand approved by the appropriate registrar. No graduate coursescarrying grades lower than B can be accepted for transfer towardany graduate degree.
No courses will be accepted toward degree requirements if thecourse exceeds the 10-year maximum time period, unless thosecourses have the formal approval of the Engineering GraduateBoard.
Student StatusAll graduate students in Engineering must register each fall andspring semester until all degree requirements are complete.All registrations require online approval by the student's facultyadviser. Students should register in one of the below threecategories.
Graduate students who do not register in one of the belowcategories may have to apply for reinstatement if they wish to re-enroll at a future time. For reinstatement information, master'sand DSc students should contact Graduate Student Services at314-935-5830, and PhD students should contact the GraduateSchool at 314-935-6880. Students seeking reinstatement may berequired to pay a reinstatement fee, take special reinstatementexaminations, and repeat previous work if their previous workfails to meet contemporary standards. Candidates for the DScdegree who apply for reinstatement may be required to repeatqualifying examinations.
Active StatusA graduate student is viewed as having an active full-timestatus if enrolled in 9 or more units or an active part-time statusif enrolled in fewer than 9 units. Graduate students must beauthorized by their adviser prior to registration. Internationalmaster's students on F1 and J1 visas are required to takea minimum of 9 units per semester except during their finalsemester. In order to have part-time status during their finalsemester, international master's students must complete aReduced Course Load form, which is available from the Office ofInternational Students and Scholars (OISS).
Continuing Student StatusThe Continuing Student Status course option may be used whengraduate students are approved to register for fewer than 9 unitsbut still need to maintain their full-time status. When studentsare registered for the Master's Continuing Student Status (883)course or the Doctoral Continuing Student Status (884) course,they will still be viewed as having a full-time status, even if theyare taking fewer than 9 units. Both placeholder courses are 0-unit audit courses with no tuition charges associated with themfor engineering students; however, students may be chargedhealth insurance and/or student activity fees associated with full-time status. The Txx or Exx 883 and Exx 884 course options arecontingent upon adviser and departmental approval. Note: The883 status is not available for master's students on F1 and J1visas; domestic master's students may register under the 883status only during their final semester and with departmentalapproval. The 884 course is for DSc students only. EngineeringPhD students will register for the LGS 9000 Full-Time GraduateResearch/Study placeholder course to maintain full-time status.
106
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Nonresident or Inactive StatusGraduate students who do not need to maintain full-time statusand who do not need to register for any course or researchunits during a given semester should, with departmental andadviser approval, register under the Nonresident/Inactive Statusplaceholder course option. Graduate students on an official leaveof absence should also register under this status but, again, onlywith adviser and departmental approval. (Note: PhD students inthis situation must use Leave of Absence forms or other formsprovided by the Graduate School.) A DSc student wishing toregister under the Nonresident/Inactive Status should registerusing the Exx 886 course number. A master's student shouldregister for this status using the Txx or Exx 885 course number.Both placeholder courses are 0-unit audit courses with no tuitioncharges associated with them for engineering students. Studentsregistered this way are not viewed as full-time students andwill not automatically have university health insurance fees orcoverage. This registration does not defer student loans, andit does not serve as a legal status for international students.The nonresident/inactive status will ensure that the student'smajor program will remain open. This option is not available tointernational students (due to F1 and J1 visa requirements),unless approved by the OISS. A nonresident/inactive status isallowed only for a few semesters, at the department's discretion.Any student contemplating a nonresident/inactive status must beaware of the residency requirements and the total time limitationrequired for degree completion.
Academic Probation andSuspensionSatisfactory academic progress is a prerequisite for continuationin engineering degree programs. Most financial awards and allfederally funded awards are contingent upon the maintenanceof satisfactory academic progress. The following are the minimalstandards of satisfactory academic progress for Doctor ofScience and master's students. Degree programs may setstricter standards, but they may not relax those listed below.Acceptability of grades below B- for the fulfillment of degreerequirements is determined by individual departments.
Doctor of Science (DSc) students must maintain a cumulativeGPA of at least 3.00.
• Academic probation occurs if a semester or cumulative GPAdrops below 3.00.
• A DSc student is eligible for academic suspension if any oneof the following occurs:
• Receives an F grade in a course, or
• Earns a semester or cumulative GPA less than 2.00, or
• Has been on probation for two semesters and has notattained a 3.00 cumulative GPA.
Master's students must maintain a cumulative GPA of at least2.70.
• Academic probation occurs if a semester or cumulative GPAdrops below 2.70.
• A master's student is eligible for academic suspension if anyone of the following occurs:
• Receives an F grade in a course, or
• Earns a semester or cumulative GPA less than 2.00, or
• Has been on probation for two semesters and has notattained a 2.70 cumulative GPA.
Academic probation represents a warning that things are notgoing well academically. Students placed on academic probationmay continue to stay enrolled in their degree programs but mustmeet with the Assistant Director of Graduate Student Services.This meeting will serve as an opportunity for the student toidentify areas for improvement and to create a strategy forsuccess for the duration of their degree program.
Academic suspension represents being dismissed from theschool. Students placed on academic suspension are not eligibleto enroll or to continue their degree programs.
Students who are suspended may petition the registrarin the McKelvey School of Engineering for reinstatement.Reinstatement petitions will be referred to the Graduate Boardfor review. If a student decides not to appeal an academicsuspension or if a student's appeal is not successful, registrationfor the upcoming semester will be cancelled, and the student'sacademic record will be closed. If this should occur, it may bepossible for a student to apply for re-enrollment at WashingtonUniversity in St. Louis at a future time. Students in this situationwill need to show that they have successfully completedchallenging full-time course work at a different institution(generally, for at least one year), that they have been employedin a full-time position (generally, for at least one year), or acombination of the two (school and work). There is no guaranteethat students who have been suspended will be allowed toreturn.
A grade of I or X in a course other than research must beremoved no later than the close of the next semester; if not, theI or X turns into an F at the end of the next regular semesterafter the I or X grade was assigned. Students are eligible forsuspension after an I or X grade changes to an F grade.
Satisfactory academic progress for engineering students inPhD programs is monitored by the Graduate School as well asthe degree program. Please refer to the Academic Information(http://bulletin.wustl.edu/grad/gsas/phd/academic/) section ofthe Graduate School Bulletin for specific information related topolicies concerning PhD students.
Satisfactory Academic Progress and Title IV FinancialAid: Federal regulations require that students receiving federalTitle IV financial aid maintain satisfactory academic progress(SAP). SAP is evaluated annually at the end of the springsemester. In order to be considered to be maintaining SAPand thus be eligible for federal financial aid, a student must
107
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
maintain minimum requirements for cumulative grade-pointaverage (>2.70 for master's and >3.0 for DSc) and pace (creditearned for at least 67% of the credits attempted). The degreemust also be completed within the maximum time frame allowedfor the program (defined as 150% of the required credits).Students who are not maintaining progress will be notified byEngineering Student Services and, barring an approved appeal,are ineligible for aid for future semesters. PhD students shouldrefer to the Graduate School Bulletin for specific informationrelated to SAP. Additional information about SAP is availablefrom Student Financial Services (https://sfs.wustl.edu/resources/Pages/Satisfactory-Academic-Progress.aspx).
Disability ResourcesServices for students with hearing, temporary or permanentvisual, orthopedic, learning or other disabilities are coordinatedthrough Disability Resources. Identifying oneself as having adisability is voluntary.
To the greatest extent possible, students with disabilities areintegrated as equal members of the total student population.Services provided for students with disabilities may includebut are not limited to readers, note takers, special parking,tutoring, counseling, appropriate academic accommodations(e.g., alternate testing conditions), and referral to communityresources. To receive accommodations or services, studentsmust initiate a request for services and are encouraged tocontact Disability Resources upon admission or once diagnosed.For more information, please visit the Disability Resourceswebsite (https://students.wustl.edu/disability-resources/).
Leaves of AbsenceEngineering students may petition to take a leave of absence.On a leave of absence, students in good standing are assuredre-enrollment within the next two years. Before returning, thestudent is to notify the McKelvey School of Engineering andsubmit a reinstatement form at least six weeks prior to thebeginning of the appropriate term. A student wishing to takea medical leave of absence must have a recommendation forthe medical leave of absence from Habif Health and WellnessCenter (http://shs.wustl.edu/) submitted to the appropriate deanin the McKelvey School of Engineering prior to leaving and priorto re-enrollment. The dean will decide whether or not to grant therequest for the medical leave of absence and re-enrollment uponreviewing the recommendations from Habif Health and WellnessCenter and the student's file.
Academic IntegrityAll students in the McKelvey School of Engineering are expectedto conform to high standards of conduct. Our statement onstudent academic integrity is intended to provide guidelines onacademic behaviors that are not acceptable. Visit the McKelveyAcademic Integrity (https://engineering.wustl.edu/current-students/student-services/Pages/academic-integrity-policy.aspx)webpage to review the policy.
Note: PhD students should refer to the Graduate School Policies& Procedures webpage (http://graduateschool.wustl.edu/policies-procedures/) for a link to the full text of the Academic andProfessional Integrity Policy for Graduate Students.
Financial InformationTuition PolicyThe 2020-21 tuition and fees (https://engineering.wustl.edu/prospective-students/graduate-admissions/Pages/tuition-financial-assistance.aspx) for graduate students in the McKelveySchool of Engineering can be found on the Engineering graduateadmissions webpage. Tuition for full-time students is determinedby each student's prime division, not by the division that teachesthe course. Students should check with their department beforeenrolling in courses outside their division.
Students who will receive reimbursement from their employersare responsible for tuition being paid by the due date. Employerreimbursements that are contingent upon course completionand/or a satisfactory grade will not exempt the student fromstated due dates and the assessment of penalties.
All full-time graduate students in Engineering (DSc andmaster's) are assessed tuition at a full-time tuition rate and donot receive refunds for dropping individual courses. All part-time graduate students who were assessed tuition on a per-credit-unit basis may receive a refund for dropped course(s)based on the refund schedule below. Refunds are computedfrom the date on which the course is dropped, as reflected in theStudent Information System. Refund checks are made availableas soon as possible (usually four to six weeks after the drop iscompleted).
Period of Withdrawal Percent ofRefund
1st-2nd week of classes 100%
3rd-4th week of classes 80%
5th-6th week of classes 60%
7th-8th week of classes 50%
9th-10th week of classes 40%
After 10th week of classes No refund
108
Bul le t in 2020-21McKelvey School o f Engineer ing (11 /06 /20)
Note: After the date of the first class meeting, refunds are notgranted for short courses, which run less than the full semesterlength. Questions concerning the refund policy should bedirected to the Engineering Accounting Office at 314-935-6183.
Financial AidMaster's students are expected to be self-supporting and aregenerally not eligible for any institutional financial assistance.However, participants in the bachelor's/master's program(https://engineering.wustl.edu/prospective-students/graduate-admissions/Pages/bs-ms.aspx) and the dual-degree program(https://engineering.wustl.edu/prospective-students/dual-degree/Pages/masters-degree-programs.aspx) could qualify for tuitionremission. All master's students who attend at least half-time(i.e., 3 units in the summer and 4.5 units in the fall and spring)and who are U.S. citizens or permanent residents may beeligible for federal student loans.
Federal financial aid for PhD students is processed bythe Graduate School. Candidates should complete theFree Application for Federal Student Aid (FAFSA) (https://studentaid.gov/h/apply-for-aid/fafsa/) for the appropriateacademic year.
For more information, contact Janna Schmitt by phone at314-935-8460 or by email at [email protected].
LoansThe federal government provides a number of studentloan programs, and there are rules and requirements foreach program. These programs are subject to change bythe government agencies that oversee them, and theyrequire that detailed financial information be provided bythe student. For more information about federal loans(https://engineering.wustl.edu/prospective-students/Pages/GradFinAddApp.aspx) available to graduate students, pleasevisit the Engineering website.
109
Bul le t in 2020-21Interd isc ip l inary Oppor tuni t ies (11 /06 /20)
InterdisciplinaryOpportunitiesWashington University offers courses through interdisciplinaryprograms that include studies in a variety of disciplines that crosstraditional academic boundaries and support academic areasoutside of the schools.
• A limited opportunity for some Washington Universitystudents to enroll in courses at Saint Louis University andthe University of Missouri-St. Louis is available through theInter-University Exchange Program (p. 110).
• The Skandalaris Center (p. 111) offers cocurricularprogramming and practical, hands-on training and fundingopportunities to students and faculty in all disciplines andschools.
Inter-University ExchangeProgramThe Inter-University Exchange (IE) program betweenWashington University, Saint Louis University (SLU) and theUniversity of Missouri-St. Louis (UMSL) began in 1976 as anexchange agreement encouraging greater inter-institutionalcooperation at the graduate level. Over time, this programhas evolved to include undergraduate education. The basicprovisions of the original agreement are still in place today, andparticipation continues to be at the discretion of each academicdepartment or unit.
At Washington University, there are several schools that do notparticipate in this program (i.e., degree-seeking students inthese schools are not eligible to participate in the IE program,and courses offered in these schools are not open to SLUand UMSL students attending Washington University throughthe IE program). They are the School of Law, the School ofMedicine, University College and the Summer School. TheWashington University schools that are open to participation inthe IE program may have specific limitations or requirements forparticipation; details are available in those offices.
The following provisions apply to all course work taken byWashington University students attending SLU or UMSLthrough the IE program:
• Such courses can be used for the fulfillment of degree ormajor requirements. (Students should consult with theirdean's office for information about how IE course work willcount toward their grade-point average, units and majorrequirements.)
• Such courses are not regularly offered at WashingtonUniversity.
• Registration for such courses requires preliminary approvalof the student's major/department adviser, the student'sdivision office or dean, and the academic department of thehost university.
• Students at the host institution have first claim on courseenrollment (i.e., a desired course at SLU or UMSL may befully subscribed and unable to accept Washington Universitystudents).
• Academic credit earned in such courses will be consideredas resident credit, not transfer credit.
• Tuition for such courses will be paid to WashingtonUniversity at the prevailing Washington University rates;there is no additional tuition cost to the student who enrolls inIE course work on another campus. However, students areresponsible for any and all fees charged by the host school.
• Library privileges attendant on enrolling in a course on a hostcampus will be made available in the manner prescribed bythe host campus.
InstructionsWashington University students must be enrolled full-timein order to participate in the IE program and have no holds,financial or otherwise, on their academic record at WashingtonUniversity or at the host institution.
1. The student must complete the IE program applicationform. Forms are available from the Office of the UniversityRegistrar and on its website (link below).
2. The student must provide all information requested in thetop portion of the form and indicate the course in which theywish to enroll.
3. The student must obtain the approval signature of theprofessor teaching the class or the department chair at SLUor UMSL, preferably in person.
4. The student also must obtain the approval signatures of theirmajor adviser at Washington University and the appropriateindividual in their dean's office.
5. Completed forms must be submitted to the Office of theUniversity Registrar in the Women's Building a minimum ofone week before the start of the term.
Course enrollment is handled administratively by the registrarsof the home and host institutions. Washington Universitystudents registered for IE course work will see these courseson their class schedule and academic record at WebSTACunder departments I97 (SLU) and I98 (UMSL). Final grades arerecorded when received from the host institution. The studentdoes not need to obtain an official transcript from SLU or UMSLto receive academic credit for IE course work at WashingtonUniversity.
110
Bul le t in 2020-21Interd isc ip l inary Oppor tuni t ies (11 /06 /20)
Contact: Office of the University Registrar
Phone: 314-935-5959
Email: [email protected]
Website: http://registrar.wustl.edu/student-records/registration/the-inter-university-exchange-program (http://registrar.wustl.edu/student-records/registration/the-inter-university-exchange-program/)
Skandalaris Center forInterdisciplinary Innovation andEntrepreneurshipThe Skandalaris Center for Interdisciplinary Innovation andEntrepreneurship (http://skandalaris.wustl.edu/) is the place oncampus Where Creative Minds Connect.
MissionThe Skandalaris Center aims to inspire and develop creativity,innovation, and entrepreneurship at Washington University inSt. Louis.
Who We ServeWe work with the best and brightest at WashU — the change-makers, thought leaders, and visionaries — to solve theworld's problems and meet local needs through innovation andentrepreneurship. As an interdisciplinary center, our initiativesserve students, faculty, staff, and alumni from all levels anddisciplines.
Our InitiativesOur initiatives are divided into four parts:
1. Create (p. 111)
2. Innovate (p. 111)
3. Launch (p. 111)
4. Learn (p. 112)
CreateWe believe everyone can be creative. The following programsare designed to give the WashU community hands-onexperiences and the creative means to solve problems.
• Make It Take ItThese monthly maker events at the Skandalaris Center aredesigned to promote creativity at any age and within anydiscipline, because anyone can be creative.
• Entrepreneurial Student Advisory Committee (ESAC)This committee provides an opportunity for students to havea say in the events and programs offered by the SkandalarisCenter.
• Creator's Gallery (https://skandalaris.wustl.edu/sc-programs/creatorsgallery/)This annual interdisciplinary exhibition allows creators of alltypes, disciplines, and ages to display their creative works ofall mediums.
InnovateInnovation is the backbone of entrepreneurship. The followingprograms offer opportunities to develop and share new ideaswhile connecting with other innovators.
• IdeaBounce (https://skandalaris.wustl.edu/sc-programs/ideabounce/)®
IdeaBounce® is both an online platform and an event forsharing venture ideas and making connections. This is anopportunity for participants to pitch their ideas (no matterhow "fresh"), get feedback on them, and make connections.In-person events happen around twice per semester.
• Student Groups (https://skandalaris.wustl.edu/sc-programs/student-groups/) There are many organizations that allow students to gainexperience and make valuable interdisciplinary connectionsin the areas of creativity, innovation, and entrepreneurship.
• Workshops (https://sc.wustl.edu/events/)The Skandalaris Center offers free, noncredit workshopsdesigned to encourage creativity, innovation, andentrepreneurship.
LaunchGood ideas are one opportunity away from success. Wedeveloped the following programs and competitions to helpinnovators and entrepreneurs access the resources they need totake their ideas to the next level.
• Student Entrepreneurial Program (StEP) (https://skandalaris.wustl.edu/sc-programs/step/)StEP provides a unique opportunity for students to ownand operate a business on campus that serves the WashUcommunity. Student owners can supplement the valuablebusiness and entrepreneurial skills they learn in theclassroom while gaining real-world experience as theymanage and lead their own businesses.
• Global Impact Award (GIA) (https://skandalaris.wustl.edu/sc-programs/global-impact-award/)The GIA awards WashU–affiliated ventures with inventions,products, ideas, and business models that will have a broadand lasting impact on society.
• Who Can Apply: WashU students, postdocs,residents, and alumni who have graduated withinthe last 10 years
• Award: Up to $50,000
• Skandalaris Venture Competition (SVC) (https://skandalaris.wustl.edu/sc-programs/svc/)
111
Bul le t in 2020-21Interd isc ip l inary Oppor tuni t ies (11 /06 /20)
The SVC provides expert mentorship to new ventures andstartups to ready them for commercializing their ideas,launching, and pitching to investors. Teams will developmaterials focused on explaining the ideas that they areworking on to a broad audience.
• Who Can Apply: Current Washington Universitystudents with an early-stage venture or idea
• Award: Up to $22,500
• LEAP (Leadership and Entrepreneurial AccelerationProgram)LEAP is a hybrid virtual incubator and gap funding programdesigned to tackle opportunities in university technologycommercialization, illuminate investment risk, and rapidlyaccelerate the development of validated projects.
• Who Can Apply: Any person or team with WashUintellectual property
• Award: Up to $50,000
• Simon InitiativeThe Simon Initiative is a multistage collaborative initiativeto expand diversity and interdisciplinary approaches toentrepreneurship.
• Resources (https://skandalaris.wustl.edu/resources/)The Skandalaris Center, Washington University, andexternal services and resources are available to supportinnovators and entrepreneurs.
LearnKnowledge and skills are key to innovation andentrepreneurship. Our center offers the following events andopportunities to help our community learn the ins and outs ofinnovation and entrepreneurship.
• The Hatchery (https://skandalaris.wustl.edu/sc-programs/hatchery/)The Hatchery is a course offered by Olin Business Schoolthat allows student teams to pursue their own business ideasor to support community entrepreneurs. Students form teamsaround a commercial or social venture idea proposed by astudent or community entrepreneur. The deliverables for thecourse include two presentations to a panel of judges and acomplete business plan; these are similar to the deliverablesin the Skandalaris Center's business plan competitions andcan be a valuable first step toward competitions and fundingfor a new venture.
• Skandalaris Internship Program (SKIP) (https://skandalaris.wustl.edu/sc-programs/internship/)SKIP is a paid 10-week summer internship and intensiveintroduction to St. Louis and the world of startups.Students work at their internships for most of the week; onWednesday afternoons, they participate in special programssuch as tours of entrepreneurial areas/neighborhoods,networking events, and panel discussions.
• Innovation Conversations (https://skandalaris.wustl.edu/sc-programs/innovation-conversations/)
These interactive discussions showcase different topicsand industries with a variety of creators, innovators, andentrepreneurs.
• St. Louis Entrepreneurial Fellowship (https://skandalaris.wustl.edu/sc-programs/fellowship/)This year-long program gives WashU students a chanceto explore entrepreneurship at WashU and in St. Louis.The experience includes a spring semester seminar thatexplores innovation and entrepreneurship, a 10-week paidsummer internship at a St. Louis startup, a fall semestercapstone project, professional development opportunities,and programs and events to engage with entrepreneurs,founders, and innovators.
• Washington University in St. Louis EntrepreneurshipCourses (https://skandalaris.wustl.edu/sc-programs/entrepreneurship-courses/)Courses in entrepreneurship offered across the universityare available to students at all levels and in all disciplines.
• Honors in Innovation & Entrepreneurship (https://skandalaris.wustl.edu/sc-programs/honors-in-innovation-and-entrepreneurship/)Students who have shown exemplary involvement ininnovation and entrepreneurship during their time atWashington University are recognized through this program.Honors are earned by accumulating points through acombination of curricular and cocurricular activities.
• PhD Citation in Entrepreneurship (https://skandalaris.wustl.edu/sc-programs/entrepreneurship-citation/)This program provides opportunities for PhD students whoare interested in developing skills and experiences in theareas of entrepreneurship and innovation.
Learn MorePlease contact the Skandalaris Center (https://skandalaris.wustl.edu/get-connected/) to sign up for ournewsletter and for additional information about all programs.
Phone: 314-935-9134
Email: [email protected]
Website: http://skandalaris.wustl.edu
112
Bul le t in 2020-21Index (11 /06 /20)
IndexAAbout This Bulletin ................................................................... 3
About Washington University in St. Louis ................................ 4
Academic Calendar ................................................................. 4
Academic Policies, Engineering, Graduate .......................... 105
Administration, Engineering, Graduate ................................ 104
Admissions, Engineering, Graduate ..................................... 104
BBiomedical Engineering, Graduate ........................................ 17
CCampus Resources ................................................................. 5
Combined Master of Engineering/Master of BusinessAdministration (MEng/MBA) ................................................... 65
Computational & Data Sciences, Graduate ............................ 25
Computer Science & Engineering, Graduate ......................... 29
Construction Management, Sever Institute ............................ 97
Cybersecurity Engineering, Graduate Certificate ................... 43
Cybersecurity Management, Sever Institute .......................... 98
DData Mining and Machine Learning, Graduate Certificate ...... 42
Degrees Offered, Engineering, Graduate ............................. 103
Doctoral Degrees, Electrical & Systems Engineering ............. 51
Doctoral Degrees, Engineering .............................................. 15
Doctoral Degrees, Mechanical Engineering & Materials Science................................................................................................ 86
EElectrical & Systems Engineering, Graduate ......................... 43
Energy, Environmental & Chemical Engineering, Graduate .... 58
Engineering, Graduate ........................................................... 15
Engineering Management, Sever Institute ............................. 99
FFields of Study, Engineering, Graduate ................................. 17
Financial Information, Engineering, Graduate ...................... 108
HHealth Care Operational Excellence, Sever Institute ............ 100
IImaging Science & Engineering, Graduate Certificate ........... 56
Imaging Science (Interdisciplinary PhD), Engineering ............ 65
Information Systems Management, Sever Institute .............. 101
Inter-University Exchange Program, Graduate ..................... 110
Interdisciplinary Opportunities, Graduate ............................. 110
MMaster of Control Engineering (MCEng) ................................ 55
Master of Engineering in Robotics (MEngR) .......................... 55
Master of Engineering (MEng) in Computer Science andEngineering ............................................................................ 42
Master of Engineering (MEng) in Energy, Environmental &Chemical Engineering (EECE) ............................................... 64
Master of Engineering (MEng) in Mechanical Engineering ..... 88
Master of Science in Aerospace Engineering (MSAE) ........... 87
Master of Science in Data Analytics and Statistics (MSDAS) ... 53
Master of Science in Electrical Engineering (MSEE) .............. 52
Master of Science in Mechanical Engineering (MSME) .......... 86
Master of Science in Systems Science & Mathematics (MSSSM)................................................................................................ 53
Master of Science (MS) in Biomedical Engineering ............... 25
Master of Science (MS) in Computer Engineering (CSE) ....... 40
Master of Science (MS) in Computer Engineering (ESE) ....... 54
Master of Science (MS) in Computer Science ....................... 40
Master of Science (MS) in Cybersecurity Engineering ........... 41
Master of Science (MS) in Energy, Environmental & ChemicalEngineering (EECE) ............................................................... 64
Master of Science (MS) in Materials Science and Engineering . 88
Master's Degrees, Engineering .............................................. 16
Materials Science & Engineering, Graduate .......................... 70
Mechanical Engineering & Materials Science, Graduate ........ 76
PPhD and Combined MD/PhD in Biomedical Engineering ....... 24
PhD in Computer Science or Computer Engineering ............. 39
PhD in Energy, Environmental & Chemical Engineering (EECE)................................................................................................ 64
113
Bul le t in 2020-21Index (11 /06 /20)
Policies, Washington University ............................................... 8
Project Management, Sever Institute ................................... 102
SSever Institute ........................................................................ 89
Skandalaris Center, Graduate ............................................. 111
TTrustees & Administration ........................................................ 4
UUniversity Affiliations .............................................................. 13
114