department of electrical engineering graduate student fall 2007 orientation alexander balandin...

Department of Electrical Engineering

Graduate StudentFall 2007 Orientation

Alexander BalandinGraduate Advisor

Important Dates to Remember

Monday, September 17, 2007EE new graduate student mandatory orientation

Friday, September 21, 2007Graduate Division mandatory orientation

Monday-Wednesday, September 24, 25 & 26, 2007TADP workshop series

Thursday, September 27, 2007First day of class

Important Information for Students

SPEAK Test or TAST

• All TAs must have a clear pass on one of these tests

• Your TA income depends on you passing the test

• You cannot receive a Ph.D. in E.E. without a clear pass

• For additional information refer to the orientation handbook

• There is a $35 fee to take the SPEAK test – student pays

SPEAK Scoring

50 – 60 Clear Pass: no further English classes or testing required

40 – 45 Conditional Pass: may perform TA duties; mandatory participation in the ESL program at University Extension

20 – 35 Fail: may not perform TA duties; mandatory participation in the ESL program at University Extension

Required for all Teaching Assistants (TAs)

New Teaching Assistant Orientation • Monday, September 24, 8:00AM-12noon at Life Sciences 1500

TADP Prep Course I • Tuesday, September 25, sessions are scheduled between

8:00AM – 5:00PM, 4 hours only

TADP Prep Course II • Wednesday, September 26, sessions are scheduled between

8:00AM – 5:00PM, 4 hours only

TADP= Teaching Assistant Development Program

NOTE: To register go to www.tadp.ucr.edu/

Attendance Required for All New Graduate Students

Electrical Engineering New Graduate Student Orientation

• Here and now

Graduate Division New Graduate Student Orientation

• Friday, September 21 2:00 pm - 4:00 pm University Lecture Hall

Required for all Ph.D. Students With Financial Support Packages

Report to your research advisor (Professor) listed on your award statement ($$)

Your continued support is contingent upon satisfactory performance in your professor’s lab

Maintain a minimum GPA of 3.50

Safety Training ALL graduate student are required to attend the Laboratory Safety

Orientation. Please sign up for the training by accessing the Environmental Health and Safety web site at: http://ehs.ucr.edu/programs/training1/login.asp

Hazardous Waste Management training required for all students working in a wet lab

Radiation Safety Training required for all students working with microwaves, radioisotopes, antennas, or other electromagnetic emitting devices. Contact Dr. Russell Vernon at [email protected] to sign up for this training.

Note: Laser Safety Training is required if you work with laser

All students must submit their Certificates of Completion to Bill Bingham, Department Manager

If you have questions on safety, consult Dan Giles, EE Safety Coordinator, and/or your faculty research advisor

Role of the Graduate Advisor (Alexander Balandin)

ADVISING

Course selection• First, discuss with your research advisor (professor)• If still questions, discuss with me, the Graduate Advisor• I review and sign off on all course registration• Course selection should allow you to so pass the Preliminary (written) exam

NOTE: All Ph.D. students must pass this exam to continue in the Ph.D. program

Finding a research advisor• Required for all Ph.D. student

M.S. student options• Plan I: M.S. Thesis • Plan II: Comprehensive Exam

Role of the Graduate Advisor (cont.)

Initial Advice

Read the EE Graduate Student Manual available at www.ee.ucr.edu

Go to the EE web page: www.ee.ucr.edu• People

- Faculty – check out their research when searching for an advisor- Staff (Vanda – Graduate Program Assistant)- Graduate Students

• Student information- Schedule of classes: http://www.classes.ucr.edu/schedule/- Graduate Course Descriptions:

http://www.catalog.ucr.edu/current/ee.html- GROWL to access your enrollment information:

https://ucribm.ucr.edu/Paws/PAWS.html

Focus Areas at EE Department and Course Selection

• Communications & Signal Processing (CSP)

• Computer Engineering (CE)

• Controls & Robotics (CR)

• Intelligent Systems (IS)

• Nano Materials, Devices & Circuits (NMDC)

Courses Offered in Fall 2007

Descriptions of all courses are available on the EE web site

EE 201 Applied Quantum Mechanics (Nano Materials, Devices & Circuits) EE 210 Advanced Digital Signal Processing (Comm. & Signal Processing) EE 212 Quantum Electron Transport (Nano Materials, Devices & Circuits) EE 215 Stochastic Processes (Comm. & Signal Processing; Controls & Robotics) EE 220 Applied Ferromagnetism (Nano Materials, Devices & Circuits) EE 259 Colloquium in Electrical Engineering* EE 260 Seminar in Computational Aspects of Integrative Biology EE 290 Directed Studies (petition required) EE 297 Directed Research EE 298I Individual Internship in Electrical Engineering EE 299 Research for Thesis or Dissertation

* Required of all first year students for three quarters

Description of Courses Offered

EE 201. Applied Quantum Mechanics. (4) Prerequisite(s): PHYS 040A, MATH 046. Schroedinger equation, operator formalism, harmonic oscillator, quantum wells, spin, bosons and fermions, solids, perturbation theory, WKB approximation, tunneling, tight-binding model, quantum measurements, quantum cryptography, and quantum computing.

EE 210. Advanced Digital Signal Processing (4) Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): EE 110B, EE 141.

Provides in-depth coverage of advanced techniques for digital filter and power spectral estimation. Topics include digital filter design, discrete random signals, finite-wordlength effects, nonparametric and parametric power spectrum estimation, multirate digital signal processing, least square methods of digital filter design, and digital filter applications.

EE 212. Quantum Electron Transport (4) Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): EE 208. Covers the

theory and methods used to model quantum electron transport in ultrascaled traditional semiconductor devices such as transistors, nanoscaled research semiconductor devices such as quantum dots, and novel electronic material systems such as carbon nanotubes and molecular wires.

EE 215. Stochastic Processes (4) Prerequisite(s): EE 210 and 235. A study of probability theory and stochastic processes, with a focus on the most fundamental aspect of modern communications, control, and signal processing systems driven by random signal inputs. Topics include random variables and stochastic processes; spectral analysis; Wiener optimum filter, matched filter, and Karhunen-Loeve expansion; mean square estimation theory including smoothing, filtering, and linear prediction; Levinson’s algorithm, Lattice filters, and Kalman filters; and the Markov process

EE 220. Applied Ferromagnetism (4)

Introduces fundamentals of ferromagnetism necessary to develop next-generation nanomagnetic and spintronics-related devices. Includes basics of magnetism, magnetic circuits, ferromagnetic resonance (FMR), nuclear magnetic resonance (NMR), spintronics, and analyses of applications.

EE 259. Colloquium in Electrical Engineering (1) Colloquium, 1 hour. Prerequisite(s): graduate standing. Lectures on current research topics in electrical engineering presented by faculty members and visiting scientists. Graded Satisfactory (S) or No Credit (NC). Course is

repeatable.

EE 260. Seminar in Electrical Engineering (4)

Seminar, 4 hours. Prerequisite(s): consent of instructor. Seminar on current research topics in electrical engineering, including areas such as signal processing, image processing, control, robotics, intelligent systems, computer vision, and pattern recognition. Course is repeatable to a maximum of 16 units.

EE 290. Directed Studies (1-6)

Individual study, 3-18 hours. Prerequisite(s): graduate standing; consent of instructor and Graduate Advisor. Individual study, directed by a faculty member, of selected topics in electrical engineering. Graded Satisfactory

(S) or No Credit (NC). Course is repeatable to a maximum of 12 units.

EE 297. Directed Research (1-6)

Outside research, 3-18 hours. Prerequisite(s): graduate standing; consent of instructor. Research conducted under the supervision of a faculty member on selected problems in electrical engineering. Graded Satisfactory (S) or No Credit (NC). Course is repeatable.

EE 298-I. Individual Internship in Electrical Engineering (1-12)

Internship, 2-24 hours; written work, 1-12 hours. Prerequisite(s): graduate standing; consent of instructor. Provides the Electrical Engineering graduate student with career experience as an electrical engineer in an industry or a research unit. Includes fieldwork with an approved professional individual or organization and academic work under the direction of a faculty member. Requires a final report. Graded Satisfactory (S) or No Credit (NC). Course is repeatable to a maximum of 12 units.

EE 299. Research for the Thesis or Dissertation (1-12) Outside research, 3-36 hours. Prerequisite(s): graduate standing; consent of instructor. Research in electrical engineering for the M.S. thesis or Ph.D. dissertation. Graded Satisfactory (S) or No Credit (NC). Course is repeatable.

NOTE: The description of all courses offered by the Department of Electrical Engineering is available at:

www.catalog.ucr.edu/current/ee.html

WHEN SELECTING THE COURSES DO NOT

FORGET ABOUT THE PRELIMINARY (WRITTEN) EXAM

Recommended Courses for Fall 07

Nano Materials, Devices and Circuits

EE 201 - Applied Quantum Mechanics

EE 215 - Stochastic Processes

EE 220 - Applied Ferromagnetism

EE 259 - Colloquium in Electrical Engineering

Control and Robotics


EE 210 - Advanced Digital Signal Processing


MATH 209 – Real Analysis

Intelligent Systems




EE 260 - Seminar in Electrical Engineering - Computational Aspects of Integrative Biology

EE 290 - Directed Studies

Communications and Signal Processing




EE 290 - Directed Studies

STAT 210 – Theoretical Statistics & Probability

Computer Engineering

EE 201 - Applied Quantum Mechanics




Enrolling in Courses

Before each quarter begins, all students are required to complete the Quarterly Advising form

All forms must have the Research Advisor’s OR Graduate Advisor’s approval

Bring to Vanda in Room 343 and she will register you in the courses

Check the status of your registration in GROWL

Quarterly Advising Form Sample

Communicating with the Graduate Advisor

• The Graduate Advisor is a regular professor (just like any other professor at the department) and most of time he is busy with his research and teaching

• If you ONLY need a signature from the Graduate Advisor and do not have any questions – JUST DROP the form in his mail slot outside his office and pick it up next day at Vanda’s office

• If you have questions (general; academic; research; etc.) – send an email or come to his office (Room 435) to talk. The best time is between 11 am - noon or 3 pm – 4 pm.

• If you have a Research Advisor (PhD students; MS students on thesis plan) IT IS SUFFICIENT to have your Research Advisor signature on your Quarterly Advising Form.

EE Graduate Committee • Albert Wang (Computer Engineering)

• Jay Farrell (Controls and Robotics)

• Yingbo Hua (Communications and Signal Processing)

• Sakhrat Khizroev (Nano Materials, Devices and Circuits)

• Ertem Tuncel (Intelligent Systems)

You can see these professors to talk

about specific area of research

Alexander BalandinGraduate AdvisorNanophononics Nanoelectronics

Alexander KorotkovQuantum Computing

Quantum Control

Mihri OzkanBioMEMS, Molecular

Electronics

Jianlin LiuNanoelectronicsOptoelectonics

Nano- Materials, Devices, and Circuits (NMDC)

Sakhrat KhizroevNano Magnetics

ElectromagnetismSpintronics

Roger Lake, ChairNanoelectronics

Molecular Electronics

Ilya LyubomirskyPhotonics

Optoelectronics

Gerardo BeniSwarm intelligence, Financial engineering

Jay FarrellLearning control systems, autonomous

vehicles, intelligent transportation systems, GPS control

Ping LiangImage processing, Pattern recognition,

Distributed systems

Controls andRobotics (CR)

Matthew BarthCE-CERT (Center for Environmental Research & Technology)

Intelligent transportation systems

Jie ChenSystem identification, robust

adaptive control, nonlinear control

Matthew BarthCe-CERT (Center for Environmental Research & Technology)

Intelligent transportation systems

Ping LiangImage processing, Pattern recognition,

Distributed systems

Bir BhanuDirector of C.R.I.S.

(Center for Research in Intelligent Systems)Computer vision, Machine learning, Pattern

recognition

Amit Roy ChowduryComputer vision, Image Processing,

Pattern Recognition

Intelligent Systems (IS)

Ilya DumerError Correcting Codes

Yingbo HuaWireless Communications

Theory

Daniel XuWireless Communications

Theory

Ertem TuncelInformation Theory

Ilya LyubomirskyPhotonics

Communications & Signal Processing (SPC)

Sheldon TanCAD, VLSI, Embedded Systems &

High-speed Networks

Afshin AbdollahiQuantum Computation, Logic Synthesis & Verification, Low

Power Design, CAD Methodologies

Computer Engineering (CE)

Albert WangRF/Analog/Mixed-Signal

Integrated Circuits (IC), On-Chip ESD Protection for ICs, SoC (System-on-a-Chip), IC

CAD and Modeling

Cooperating Faculty (from other departments)

Who can be your research advisor?

Chemistry

• Ludwing Bartels

• Robert Haddon

Cooperating Faculty (cont.)

Computer Science & Engineering • Laxminarayan Bhuyan • Michalis Faloutsos • Dimitrios Gunopolus • Harry Hsieh • Tao Jiang • Srikanth Krishnamurthy • Mart Mole • Walid Najjar • Frank Vahid


Mechanical Engineering

• Guillermo Aguilar

• Qing Jiang

• Cengiz Ozkan

• Thomas Stahovich

• Sundararajan Venkatadriagaram

• Junlan Wang


Music • Paulo Chagas

Physics • Harry Tom

Statistics • Ken-Shin Lii

Electrical Engineering Staff(the most important people)

Bill BinghamDepartment Manager

Trudi Loder Payroll, Purchasing

Vanda YamaguchiGraduate Assistant

Academic Program Assistant

Electrical Engineering Technical Staff(even more important people)

Dan GilesLab Manager

Safety Coordinator

Steven HaughtonIT Support

department of electrical engineering graduate student fall 2007 orientation alexander balandin...

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