mechatronics - studienplaene.tuhh.de€¦ · they are able to express in detail basic approaches in...

Module Manual

Bachelor of Science (B.Sc.)Mechatronics

Cohort: Winter Term 2020Updated: 30th April 2020

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Table of Contents

Table of ContentsProgram descriptionCore qualification

Module M0575: Procedural ProgrammingModule M0577: Non-technical Courses for BachelorsModule M0743: Electrical Engineering I: Direct Current Networks and Electromagnetic FieldsModule M0889: Mechanics I (Statics)Module M0850: Mathematics IModule M0933: Fundamentals of Materials ScienceModule M0547: Electrical Engineering II: Alternating Current Networks and Basic DevicesModule M0594: Fundamentals of Mechanical Engineering DesignModule M0696: Mechanics II: Mechanics of MaterialsModule M0851: Mathematics IIModule M0598: Mechanical Engineering: DesignModule M0725: Production EngineeringModule M0708: Electrical Engineering III: Circuit Theory and TransientsModule M0959: Mechanics III (Dynamics)Module M0730: Computer EngineeringModule M0853: Mathematics IIIModule M0671: Technical Thermodynamics IModule M0672: Signals and SystemsModule M0960: Mechanics IV (Oscillations, Analytical Mechanics, Multibody Systems, Numerical Mechanics)Module M0854: Mathematics IVModule M0688: Technical Thermodynamics IIModule M0956: Measurement Technology for Mechanical EngineersModule M1320: Simulation and Design of Mechatronic SystemsModule M0829: Foundations of ManagementModule M0833: Introduction to Control SystemsModule M0610: Electrical Machines and ActuatorsModule M0777: Semiconductor Circuit Design

ThesisModule M-001: Bachelor Thesis

Program description

ContentThe graduate students of the Bachelor program Mechatronics are able to demonstrate an overviewof fundamental knowledge in the fields of material science, production, thermodynamics,mechanical design and computer science. They are able to express in detail basic approaches inthe fields of mathematics, mechanics and electrical engineering, to explain the basics ofmetrology and control theory and to describe the interdisciplinary aspects of Mechatronics. Thisknowledge and the methods learned enable them to examine problems in Mechatronics, the sub-disciplines of Mechatronics and the adjacent disciplines.

Career prospectsThe graduates of the Bachelor program Mechatronics are directly able to enter a career in the fieldof Mechatronics and work responsibly as Engineer. They are entitled to use the professional titleIngenieurin or Ingenieur (Engineer) pursuant to the Engineers Acts (Ingenieurgesetzen) of thestates in Germany.

Possible employers include manufacturing companies in mechanical and electrical engineering aswell as engineering firms.

The degree allows access to a Master program, for example the consecutive International Masterin Mechantronics.

Learning targetGraduates are able

to identify, abstract, formulate and solve technical problems on basic research;to select, combine and interdisciplinary apply suitable methods for analysis, modeling,simulation and optimization;to understand, analyze and evaluate products and methods in Mechatronics and its sub-disciplines in a systematic manner;to apply design methods in Mechatronics;to plan and carry out experiments and to interpret their results;and to estimate the boundaries of methods and techniques

Graduates can

interdisciplinarily and responsibly apply and independently expand their knowledge withinthe sub-disciplines of Mechatronics accounting for economic requirements;evaluate Mechatronic problems in a wider societal context and assess the non-technicaleffects of their engineering work;cooperate with experts of other disciplines and laypersons and to communicate in Germanand English;conduct literary research and use databases and other information sources for their workand can express the results of their work understandably both in written and oralpresentation;

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Module Manual B.Sc. "Mechatronics"

expand and deepen their acquired knowledge throughout their lives.

Program structureThe program is split into the core qualifications and Bachelor thesis.

The interdisciplinary final thesis is scheduled for the sixth semester.

At the Hamburg University of Technology the graduates can continue their studies with, amongothers, the Master program "International Master Mechatronics".

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Core qualification

Module M0575: Procedural Programming

CoursesTitle Typ Hrs/wk CPProcedural Programming (L0197) Lecture 1 2Procedural Programming (L0201) Recitation Section

(large) 1 1Procedural Programming (L0202) Practical Course 2 3

ModuleResponsible Prof. Siegfried Rump

AdmissionRequirements None

RecommendedPrevious

Knowledge

Elementary PC handling skillsElementary mathematical skills

EducationalObjectives After taking part successfully, students have reached the following learning results

ProfessionalCompetence

Knowledge

The students acquire the following knowledge:They know basic elements of the programming languageC. They know the basic data types and know how to usethem.They have an understanding of elementary compilertasks, of the preprocessor and programming environmentand know how those interact.They know how to bind programs and how to includeexternal libraries to enhance software packages.They know how to use header files and how to declarefunction interfaces to create larger programming projects.The acquire some knowledge how the program interactswith the operating system. This allows them to developprograms interacting with the programming environmentas well.They learnt several possibilities how to model andimplement frequently occurring standard algorithms.

Skills

The students know how to judge the complexity of analgorithms and how to program algorithms efficiently.The students are able to model and implement algorithmsfor a number of standard functionalities. Moreover, theyare able to adapt a given API.

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PersonalCompetence

Social Competence

The students acquire the following skills:They are able to work in small teams to solve givenweekly tasks, to identify and analyze programming errorsand to present their results.They are able to explain simple phenomena to each otherdirectly at the PC.They are able to plan and to work out a project in smallteams.They communicate final results and present programs totheir tutor.

Autonomy

The students take individual examinations as well as afinal written examn to prove their programming skills andability to solve new tasks.The students have many possibilities to check theirabilities when solving several given programmingexercises.In order to solve the given tasks efficiently, the studentshave to split those appropriately within their group, whereevery student solves his or her part individually.

Workload in Hours Independent Study Time 124, Study Time in Lecture 56Credit points 6

Courseachievement None

Examination Written examExaminationduration and

scale90 minutes

Assignment forthe Following

Curricula

Computer Science: Core qualification: CompulsoryData Science: Core qualification: CompulsoryElectrical Engineering: Core qualification: CompulsoryComputational Science and Engineering: Core qualification: CompulsoryLogistics and Mobility: Specialisation Engineering Science: Elective CompulsoryMechatronics: Core qualification: CompulsoryOrientierungsstudium: Core qualification: Elective CompulsoryTechnomathematics: Core qualification: Compulsory

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Course L0197: Procedural ProgrammingTyp Lecture

Hrs/wk 1CP 2

Workload in Hours Independent Study Time 46, Study Time in Lecture 14Lecturer Prof. Siegfried Rump

Language DECycle WiSe

Content

basic data types (integers, floating point format, ASCII-characters) and theirdependencies on the CPU architectureadvanced data types (pointers, arrays, strings, structs, lists)

operators (arithmetical operations, logical operations, bit operations)

control flow (choice, loops, jumps)

preprocessor directives (macros, conditional compilation, modular design)

functions (function definitions/interface, recursive functions, "call by value"versus "call by reference", function pointers)

essential standard libraries and functions (stdio.h, stdlib.h, math.h, string.h,time.h)

file concept, streams

basic algorithms (sorting functions, series expansion, uniformly distributedpermutation)

exercise programs to deepen the programming skills

Literature

Kernighan, Brian W (Ritchie, Dennis M.;)The C programming languageISBN: 9780131103702Upper Saddle River, NJ [u.a.] : Prentice Hall PTR, 2009

Sedgewick, Robert Algorithms in CISBN: 0201316633Reading, Mass. [u.a.] : Addison-Wesley, 2007

Kaiser, Ulrich (Kecher, Christoph.;)C/C++: Von den Grundlagen zur professionellen ProgrammierungISBN: 9783898428392Bonn : Galileo Press, 2010

Wolf, Jürgen C von A bis Z : das umfassende HandbuchISBN: 3836214113Bonn : Galileo Press, 2009

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Course L0201: Procedural ProgrammingTyp Recitation Section (large)

Hrs/wk 1CP 1



Content See interlocking courseLiterature See interlocking course

Course L0202: Procedural ProgrammingTyp Practical Course

Hrs/wk 2CP 3




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Module M0577: Non-technical Courses for Bachelors

ModuleResponsible Dagmar Richter


RecommendedPrevious

KnowledgeNone



Knowledge

The Non-technical Academic Programms (NTA)

imparts skills that, in view of the TUHH’s training profile, professional engineeringstudies require but are not able to cover fully. Self-reliance, self-management,collaboration and professional and personnel management competences. Thedepartment implements these training objectives in its teaching architecture, inits teaching and learning arrangements, in teaching areas and by means ofteaching offerings in which students can qualify by opting for specificcompetences and a competence level at the Bachelor’s or Master’s level. Theteaching offerings are pooled in two different catalogues for nontechnicalcomplementary courses.

The Learning Architecture

consists of a cross-disciplinarily study offering. The centrally designed teachingoffering ensures that courses in the nontechnical academic programms follow thespecific profiling of TUHH degree courses.

The learning architecture demands and trains independent educational planning asregards the individual development of competences. It also provides orientationknowledge in the form of “profiles”

The subjects that can be studied in parallel throughout the student’s entire studyprogram - if need be, it can be studied in one to two semesters. In view of theadaptation problems that individuals commonly face in their first semesters aftermaking the transition from school to university and in order to encourageindividually planned semesters abroad, there is no obligation to study thesesubjects in one or two specific semesters during the course of studies.

Teaching and Learning Arrangements

provide for students, separated into B.Sc. and M.Sc., to learn with and from eachother across semesters. The challenge of dealing with interdisciplinarity and avariety of stages of learning in courses are part of the learning architecture and aredeliberately encouraged in specific courses.

Fields of Teaching

are based on research findings from the academic disciplines cultural studies, socialstudies, arts, historical studies, migration studies, communication studies andsustainability research, and from engineering didactics. In addition, from the wintersemester 2014/15 students on all Bachelor’s courses will have the opportunity tolearn about business management and start-ups in a goal-oriented way.

The fields of teaching are augmented by soft skills offers and a foreign languageoffer. Here, the focus is on encouraging goal-oriented communication skills, e.g. theskills required by outgoing engineers in international and intercultural situations.

The Competence Level

of the courses offered in this area is different as regards the basic training objective[9]


in the Bachelor’s and Master’s fields. These differences are reflected in the practicalexamples used, in content topics that refer to different professional applicationcontexts, and in the higher scientific and theoretical level of abstraction in the B.Sc.

This is also reflected in the different quality of soft skills, which relate to thedifferent team positions and different group leadership functions of Bachelor’s andMaster’s graduates in their future working life.

Specialized Competence (Knowledge)

Students can

locate selected specialized areas with the relevant non-technical motherdiscipline,outline basic theories, categories, terminology, models, concepts or artistictechniques in the disciplines represented in the learning area,different specialist disciplines relate to their own discipline and differentiate itas well as make connections, sketch the basic outlines of how scientific disciplines, paradigms, models,instruments, methods and forms of representation in the specialized sciencesare subject to individual and socio-cultural interpretation and historicity,Can communicate in a foreign language in a manner appropriate to thesubject.

Skills

Professional Competence (Skills)

In selected sub-areas students can

apply basic methods of the said scientific disciplines,auestion a specific technical phenomena, models, theories from theviewpoint of another, aforementioned specialist discipline,to handle simple questions in aforementioned scientific disciplines in asucsessful manner,justify their decisions on forms of organization and application in practicalquestions in contexts that go beyond the technical relationship to the subject.

PersonalCompetence

Social Competence

Personal Competences (Social Skills)

Students will be able

to learn to collaborate in different manner,to present and analyze problems in the abovementioned fields in a partner orgroup situation in a manner appropriate to the addressees,to express themselves competently, in a culturally appropriate and gender-sensitive manner in the language of the country (as far as this study-focuswould be chosen), to explain nontechnical items to auditorium with technical backgroundknowledge.

Autonomy

Personal Competences (Self-reliance)

Students are able in selected areas

to reflect on their own profession and professionalism in the context of real-life fields of applicationto organize themselves and their own learning processes to reflect and decide questions in front of a broad education backgroundto communicate a nontechnical item in a competent way in writen form orverbalyto organize themselves as an entrepreneurial subject country (as far as thisstudy-focus would be chosen)

Workload in Hours Depends on choice of courses[10]


Credit points 6

CoursesInformation regarding lectures and courses can be found in thecorresponding module handbook published separately.

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Module M0743: Electrical Engineering I: Direct Current Networks andElectromagnetic Fields

CoursesTitle Typ Hrs/wk CPElectrical Engineering I: Direct Current Networks andElectromagnetic Fields (L0675) Lecture 3 5Electrical Engineering I: Direct Current Networks andElectromagnetic Fields (L0676)

Recitation Section(small) 2 1

ModuleResponsible Prof. Matthias Kuhl


RecommendedPrevious

KnowledgeEducationalObjectives After taking part successfully, students have reached the following learning results


KnowledgeSkills

PersonalCompetence

Social CompetenceAutonomy


Courseachievement

CompulsoryBonus Form DescriptionNo 10 % Excercises


scale120 Minutes


Curricula

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryData Science: Specialisation Electrical Engineering: CompulsoryElectrical Engineering: Core qualification: CompulsoryComputational Science and Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryOrientierungsstudium: Core qualification: Elective Compulsory

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Course L0675: Electrical Engineering I: Direct Current Networks and Electromagnetic FieldsTyp Lecture

Hrs/wk 3CP 5

Workload in Hours Independent Study Time 108, Study Time in Lecture 42Lecturer Prof. Matthias Kuhl


Content

Literature

1. M. Kasper, Skript zur Vorlesung Elektrotechnik 1, 20132. M. Albach: Grundlagen der Elektrotechnik 1, Pearson Education, 20043. F. Moeller, H. Frohne, K.H. Löcherer, H. Müller: Grundlagen der

Elektrotechnik, Teubner, 20054. A. R. Hambley: Electrical Engineering, Principles and Applications, Pearson

Education, 2008

Course L0676: Electrical Engineering I: Direct Current Networks and Electromagnetic FieldsTyp Recitation Section (small)

Hrs/wk 2CP 1



Content

Literature 1. Übungsaufgaben zur Elektrotechnik 1, TUHH, 20132. Ch. Kautz: Tutorien zur Elektrotechnik, Pearson Studium, 2010

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Module M0889: Mechanics I (Statics)

CoursesTitle Typ Hrs/wk CPMechanics I (Statics) (L1001) Lecture 2 3Mechanics I (Statics) (L1002) Recitation Section

(small) 2 2

Mechanics I (Statics) (L1003) Recitation Section(large) 1 1

ModuleResponsible Prof. Robert Seifried


RecommendedPrevious

KnowledgeSolid school knowledge in mathematics and physics.



Knowledge

The students can

describe the axiomatic procedure used in mechanical contexts;explain important steps in model design;present technical knowledge in stereostatics.

Skills

The students can

explain the important elements of mathematical / mechanical analysis andmodel formation, and apply it to the context of their own problems;apply basic statical methods to engineering problems;estimate the reach and boundaries of statical methods and extend them tobe applicable to wider problem sets.

PersonalCompetence

Social Competence The students can work in groups and support each other to overcome difficulties.

AutonomyStudents are capable of determining their own strengths and weaknesses and toorganize their time and learning based on those.




scale90 min


Curricula

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryCivil- and Environmental Engineering: Core qualification: CompulsoryData Science: Specialisation Mechanics: CompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryLogistics and Mobility: Core qualification: CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryOrientierungsstudium: Core qualification: Elective Compulsory

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Naval Architecture: Core qualification: Compulsory

Course L1001: Mechanics I (Statics)Typ Lecture

Hrs/wk 2CP 3

Workload in Hours Independent Study Time 62, Study Time in Lecture 28Lecturer Prof. Robert Seifried


Content

Tasks in MechanicsModelling and model elementsVector calculus for forces and torquesForces and equilibrium in spaceConstraints and reactions, characterization of constraint systemsPlanar and spatial truss structuresInternal forces and moments for beams and framesCenter of mass, volumn, area and lineComputation of center of mass by intergals, joint bodiesFriction (sliding and sticking)Friction of ropes

LiteratureK. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7.Auflage, Teubner (2009). D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1. 11.Auflage, Springer (2011).

Course L1002: Mechanics I (Statics)Typ Recitation Section (small)

Hrs/wk 2CP 2



Content

Forces and equilibriumConstraints and reactionsFramesCenter of massFrictionInternal forces and moments for beams

LiteratureK. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage,Teubner (2009). D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1. 11. Auflage,Springer (2011).

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Course L1003: Mechanics I (Statics)Typ Recitation Section (large)

Hrs/wk 1CP 1



Content

Forces and equilibriumConstraints and reactionsFramesCenter of massFrictionInternal forces and moments for beams

LiteratureK. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage,Teubner (2009). D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1. 11. Auflage,Springer (2011).

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Module M0850: Mathematics I

CoursesTitle Typ Hrs/wk CPAnalysis I (L1010) Lecture 2 2Analysis I (L1012) Recitation Section

(small) 1 1

Analysis I (L1013) Recitation Section(large) 1 1

Linear Algebra I (L0912) Lecture 2 2Linear Algebra I (L0913) Recitation Section

(small) 1 1

Linear Algebra I (L0914) Recitation Section(large) 1 1

ModuleResponsible Prof. Anusch Taraz


RecommendedPrevious

KnowledgeSchool mathematics



Knowledge

Students can name the basic concepts in analysis and linear algebra. Theyare able to explain them using appropriate examples.Students can discuss logical connections between these concepts. They arecapable of illustrating these connections with the help of examples.They know proof strategies and can reproduce them.

Skills

Students can model problems in analysis and linear algebra with the help ofthe concepts studied in this course. Moreover, they are capable of solvingthem by applying established methods.Students are able to discover and verify further logical connections betweenthe concepts studied in the course.For a given problem, the students can develop and execute a suitableapproach, and are able to critically evaluate the results.

PersonalCompetence

Social Competence

Students are able to work together in teams. They are capable to usemathematics as a common language.In doing so, they can communicate new concepts according to the needs oftheir cooperating partners. Moreover, they can design examples to checkand deepen the understanding of their peers.

Autonomy

Students are capable of checking their understanding of complex conceptson their own. They can specify open questions precisely and know where toget help in solving them.Students have developed sufficient persistence to be able to work for longer

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periods in a goal-oriented manner on hard problems.




scale60 min (Analysis I) + 60 min (Linear Algebra I)


Curricula

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryCivil- and Environmental Engineering: Core qualification: CompulsoryBioprocess Engineering: Core qualification: CompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryElectrical Engineering: Core qualification: CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryComputational Science and Engineering: Core qualification: CompulsoryLogistics and Mobility: Core qualification: CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryOrientierungsstudium: Core qualification: Elective CompulsoryNaval Architecture: Core qualification: CompulsoryProcess Engineering: Core qualification: Compulsory

Course L1010: Analysis ITyp Lecture

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Dozenten des Fachbereiches Mathematik der UHH


Content

Foundations of differential and integrational calculus of one variable

statements, sets and functionsnatural and real numbersconvergence of sequences and seriescontinuous and differentiable functionsmean value theoremsTaylor seriescalculuserror analysisfixpoint iteration

Literature

http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html

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Course L1012: Analysis ITyp Recitation Section (small)

Hrs/wk 1CP 1




Course L1013: Analysis ITyp Recitation Section (large)

Hrs/wk 1CP 1




Course L0912: Linear Algebra ITyp Lecture

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Anusch Taraz, Prof. Marko Lindner


Contentvectors: intuition, rules, inner and cross product, lines and planessystems of linear equations: Gauß elimination, matrix product, inversematrices, transformations, block matrices, determinants orthogonal projection in R^n, Gram-Schmidt-Orthonormalization

Literature

T. Arens u.a. : Mathematik, Spektrum Akademischer Verlag, Heidelberg 2009W. Mackens, H. Voß: Mathematik I für Studierende derIngenieurwissenschaften, HECO-Verlag, Alsdorf 1994W. Mackens, H. Voß: Aufgaben und Lösungen zur Mathematik I fürStudierende der Ingenieurwissenschaften, HECO-Verlag, Alsdorf 1994G. Strang: Lineare Algebra, Springer-Verlag, 2003G. und S. Teschl: Mathematik für Informatiker, Band 1, Springer-Verlag, 2013

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Course L0913: Linear Algebra ITyp Recitation Section (small)

Hrs/wk 1CP 1



Contentvectors: intuition, rules, inner and cross product, lines and planesgeneral vector spaces: subspaces, Euclidean vector spacessystems of linear equations: Gauß-elimination, matrix product, inversematrices, transformations, LR-decomposition, block matrices, determinants

Literature

T. Arens u.a. : Mathematik, Spektrum Akademischer Verlag, Heidelberg 2009W. Mackens, H. Voß: Mathematik I für Studierende derIngenieurwissenschaften, HECO-Verlag, Alsdorf 1994W. Mackens, H. Voß: Aufgaben und Lösungen zur Mathematik I fürStudierende der Ingenieurwissenschaften, HECO-Verlag, Alsdorf 1994

Course L0914: Linear Algebra ITyp Recitation Section (large)

Hrs/wk 1CP 1

Workload in Hours Independent Study Time 16, Study Time in Lecture 14Lecturer Dr. Christian Seifert



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Module M0933: Fundamentals of Materials Science

CoursesTitle Typ Hrs/wk CPFundamentals of Materials Science I (L1085) Lecture 2 2Fundamentals of Materials Science II (Advanced Ceramic Materials,Polymers and Composites) (L0506) Lecture 2 2Physical and Chemical Basics of Materials Science (L1095) Lecture 2 2

ModuleResponsible Prof. Jörg Weißmüller


RecommendedPrevious

Knowledge

Highschool-level physics, chemistry und mathematics



Knowledge

The students have acquired a fundamental knowledge on metals, ceramics andpolymers and can describe this knowledge comprehensively. Fundamentalknowledge here means specifically the issues of atomic structure, microstructure,phase diagrams, phase transformations, corrosion and mechanical properties. Thestudents know about the key aspects of characterization methods for materials andcan identify relevant approaches for characterizing specific properties. They areable to trace materials phenomena back to the underlying physical and chemicallaws of nature.

Skills

The students are able to trace materials phenomena back to the underlying physicaland chemical laws of nature. Materials phenomena here refers to mechanicalproperties such as strength, ductility, and stiffness, chemical properties such ascorrosion resistance, and to phase transformations such as solidification,precipitation, or melting. The students can explain the relation between processingconditions and the materials microstructure, and they can account for the impact ofmicrostructure on the material’s behavior.

PersonalCompetence

Social Competence -Autonomy -




scale180 min

General Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): Specialisation

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Curricula

Biomedical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): Specialisation Energyand Enviromental Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): Specialisation NavalArchitecture: CompulsoryGeneral Engineering Science (German program, 7 semester): Specialisation NavalArchitecture: CompulsoryData Science: Specialisation Materials Science: CompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation Energyand Enviromental Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation NavalArchitecture: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation NavalArchitecture: CompulsoryLogistics and Mobility: Specialisation Engineering Science: Elective CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryNaval Architecture: Core qualification: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective Compulsory

Course L1085: Fundamentals of Materials Science ITyp Lecture

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Jörg Weißmüller


Content

Literature

Vorlesungsskript

W.D. Callister: Materials Science and Engineering - An Introduction. 5th ed., JohnWiley & Sons, Inc., New York, 2000, ISBN 0-471-32013-7

P. Haasen: Physikalische Metallkunde. Springer 1994

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Course L0506: Fundamentals of Materials Science II (Advanced Ceramic Materials, Polymersand Composites)

Typ LectureHrs/wk 2

CP 2Workload in Hours Independent Study Time 32, Study Time in Lecture 28

Lecturer Prof. Bodo Fiedler, Prof. Gerold SchneiderLanguage DE

Cycle SoSe

Content

Chemische Bindungen und Aufbau von Festkörpern; Kristallaufbau;Werkstoffprüfung; Schweißbarkeit; Herstellung von Keramiken; Aufbau undEigenschaften der Keramik; Herstellung, Aufbau und Eigenschaften von Gläsern;Polymerwerkstoffe, Makromolekularer Aufbau; Struktur und Eigenschaften derPolymere; Polymerverarbeitung; Verbundwerkstoffe

Literature

Vorlesungsskript

W.D. Callister: Materials Science and Engineering -An Introduction-5th ed., JohnWiley & Sons, Inc., New York, 2000, ISBN 0-471-32013-7

Course L1095: Physical and Chemical Basics of Materials ScienceTyp Lecture

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Stefan Müller


Content

Motivation: „Atoms in Mechanical Engineering?“Basics: Force and EnergyThe electromagnetic Interaction„Detour“: Mathematics (complex e-funktion etc.)The atom: Bohr's model of the atomChemical boundsThe multi part problem: Solutions and strategiesDescriptions of using statistical thermodynamicsElastic theory of atomsConsequences of atomar properties on makroskopic Properties: Discussion ofexamples (metals, semiconductors, hybrid systems)

Literature

Für den Elektromagnetismus:

Bergmann-Schäfer: „Lehrbuch der Experimentalphysik“, Band 2:„Elektromagnetismus“, de Gruyter

Für die Atomphysik:

Haken, Wolf: „Atom- und Quantenphysik“, Springer

Für die Materialphysik und Elastizität:

Hornbogen, Warlimont: „Metallkunde“, Springer

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Module M0547: Electrical Engineering II: Alternating Current Networksand Basic Devices

CoursesTitle Typ Hrs/wk CPElectrical Engineering II: Alternating Current Networks and BasicDevices (L0178) Lecture 3 5Electrical Engineering II: Alternating Current Networks and BasicDevices (L0179)


ModuleResponsible Prof. Christian Becker


RecommendedPrevious

Knowledge

Electrical Engineering I

Mathematics I

Direct current networks, complex numbers



Knowledge

Students are able to reproduce and explain fundamental theories, principles, andmethods related to the theory of alternating currents. They can describe networksof linear elements using a complex notation for voltages and currents. They canreproduce an overview of applications for the theory of alternating currents in thearea of electrical engineering. Students are capable of explaining the behavior offundamental passive and active devices as well as their impact on simple circuits.

Skills

Students are capable of calculating parameters within simple electrical networks atalternating currents by means of a complex notation for voltages and currents.They can appraise the fundamental effects that may occur within electricalnetworks at alternating currents. Students are able to analyze simple circuits suchas oscillating circuits, filter, and matching networks quantitatively and dimensionelements by means of a design. They can motivate and justify the fundamentalelements of an electrical power supply (transformer, transmission line,compensation of reactive power, multiphase system) and are qualified to dimensiontheir main features.

PersonalCompetence

Social Competence

Students are able to work together on subject related tasks in small groups. Theyare able to present their results effectively.

Autonomy

Students are capable to gather necessary information from the references providedand relate that information to the context of the lecture. They are able tocontinually reflect their knowledge by means of activities that accompany thelecture, such as online-tests and exercises that are related to the exam. Based onrespective feedback, students are expected to adjust their individual learningprocess. They are able to draw connections between their knowledge obtained inthis lecture and the content of other lectures (e.g. Electrical Engineering I, LinearAlgebra, and Analysis).

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Courseachievement

CompulsoryBonus Form DescriptionNo 10 % Midterm


scale90 - 150 minutes


Curricula

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryData Science: Specialisation Electrical Engineering: CompulsoryElectrical Engineering: Core qualification: CompulsoryComputational Science and Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryOrientierungsstudium: Core qualification: Elective Compulsory

[25]


Course L0178: Electrical Engineering II: Alternating Current Networks and Basic DevicesTyp Lecture

Hrs/wk 3CP 5

Workload in Hours Independent Study Time 108, Study Time in Lecture 42Lecturer Prof. Christian Becker

Language DECycle SoSe

Content

- General time-dependency of electrical networks

- Representation and properties of harmonic signals

- RLC-elements at alternating currents/voltages

- Complex notation for the representation of RLC-elements

- Power in electrical networks at alternating currents, compensation of reactivepower

- Frequency response locus (Nyquist plot) and Bode-diagrams

- Measurement instrumentation for assessing alternating currents

- Oscillating circuits, filters, electrical transmission lines

- Transformers, three-phase current, energy converters

- Simple non-linear and active electrical devices

Literature

- M. Albach, "Elektrotechnik", Pearson Studium (2011)

- T. Harriehausen, D. Schwarzenau, "Moeller Grundlagen der Elektrotechnik",Springer (2013)

- R. Kories, H. Schmidt-Walter, "Taschenbuch der Elektrotechnik", Harri Deutsch(2010)

- C. Kautz, "Tutorien zur Elektrotechnik", Pearson (2009)

- A. Hambley, "Electrical Engineering: Principles and Applications", Pearson (2013)

- R. Dorf, "The Electrical Engineering Handbook", CRC (2006)

[26]


Course L0179: Electrical Engineering II: Alternating Current Networks and Basic DevicesTyp Recitation Section (small)

Hrs/wk 2CP 1

Workload in Hours Independent Study Time 2, Study Time in Lecture 28Lecturer Prof. Christian Becker


Content

- General time-dependency of electrical networks

- Representation and properties of harmonic signals

- RLC-elements at alternating currents/voltages

- Complex notation for the representation of RLC-elements

- Power in electrical networks at alternating currents, compensation of reactivepower

- Frequency response locus (Nyquist plot) and Bode-diagrams

- Measurement instrumentation for assessing alternating currents

- Oscillating circuits, filters, electrical transmission lines

- Transformers, three-phase current, energy converters

- Simple non-linear and active electrical devices

Literature

- M. Albach, "Elektrotechnik", Pearson Studium (2011)


- R. Kories, H. Schmidt-Walter, "Taschenbuch der Elektrotechnik", Harri Deutsch(2010)

- C. Kautz, "Tutorien zur Elektrotechnik", Pearson (2009)

- A. Hambley, "Electrical Engineering: Principles and Applications", Pearson (2013)

- R. Dorf, "The Electrical Engineering Handbook", CRC (2006)

[27]


Module M0594: Fundamentals of Mechanical Engineering Design

CoursesTitle Typ Hrs/wk CPFundamentals of Mechanical Engineering Design (L0258) Lecture 2 3Fundamentals of Mechanical Engineering Design (L0259) Recitation Section

(large) 2 3

ModuleResponsible Prof. Dieter Krause


RecommendedPrevious

KnowledgeBasic knowledge about mechanics and production engineeringInternship (Stage I Practical)



Knowledge

After passing the module, students are able to:

explain basic working principles and functions of machine elements,explain requirements, selection criteria, application scenarios and practicalexamples of basic machine elements, indicate the background ofdimensioning calculations.

Skills


accomplish dimensioning calculations of covered machine elements,transfer knowledge learned in the module to new requirements and tasks(problem solving skills),recognize the content of technical drawings and schematic sketches,technically evaluate basic designs.

PersonalCompetence

Social Competence Students are able to discuss technical information in the lecture supported byactivating methods.

AutonomyStudents are able to independently deepen their acquired knowledge inexercises.Students are able to acquire additional knowledge and to recapitulate poorlyunderstood content e.g. by using the video recordings of the lectures.




scale120

Assignment for

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryLogistics and Mobility: Core qualification: Compulsory

[28]


the FollowingCurricula

Mechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryOrientierungsstudium: Core qualification: Elective CompulsoryNaval Architecture: Core qualification: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective Compulsory

Course L0258: Fundamentals of Mechanical Engineering DesignTyp Lecture

Hrs/wk 2CP 3

Workload in Hours Independent Study Time 62, Study Time in Lecture 28

Lecturer Prof. Dieter Krause, Prof. Josef Schlattmann, Prof. Otto von Estorff, Prof. SörenEhlers


Content

Lecture

Introduction to designIntroduction to the following machine elements

ScrewsShaft-hub jointsRolling contact bearingsWelding / adhesive / solder jointsSpringsAxes & shafts

Presentation of technical objects (technical drawing)

Exercise

Calculation methods for dimensioning the following machine elements:ScrewsShaft-hub jointsRolling contact bearingsWelding / adhesive / solder jointsSpringsAxis & shafts

Literature

Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelleAuflage. Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., SpringerVerlag, aktuelle Auflage. Einführung in die DIN-Normen; Klein, M., Teubner-Verlag. Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage. Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage. Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H.,Bodenstein, F., Springer-Verlag, aktuelle Auflage.Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek,J., Springer Vieweg, aktuelle Auflage.Sowie weitere Bücher zu speziellen Themen

[29]


Course L0259: Fundamentals of Mechanical Engineering DesignTyp Recitation Section (large)

Hrs/wk 2CP 3


Lecturer Prof. Dieter Krause, Prof. Josef Schlattmann, Prof. Otto von Estorff, Prof. SörenEhlers



[30]


Module M0696: Mechanics II: Mechanics of Materials

CoursesTitle Typ Hrs/wk CPMechanics II (L0493) Lecture 2 2Mechanics II (L0494) Recitation Section

(small) 2 2

Mechanics II (L1691) Recitation Section(large) 2 2

ModuleResponsible Prof. Christian Cyron


RecommendedPrevious

KnowledgeMechanics I



Knowledge The students name the fundamental concepts and laws of statics such as stresses,strains, Hooke's linear law.

Skills

The students apply the mathematical/mechanical analysis and modeling.

The students apply the fundamental methods of elasto statics to simply engineeringproblems.

The students estimate the validity and limitations of the introduced methods.

PersonalCompetence

Social Competence -Autonomy -




scale90 min


Curricula

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryCivil- and Environmental Engineering: Core qualification: CompulsoryData Science: Specialisation Mechanics: CompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryLogistics and Mobility: Core qualification: CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryOrientierungsstudium: Core qualification: Elective CompulsoryNaval Architecture: Core qualification: Compulsory

[31]


Course L0493: Mechanics IITyp Lecture

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Christian Cyron


Content

stresses and strainsHooke's lawtension and compressiontorsionbendingstabilitybucklingenergy methods

Literature

Gross, D., Hauger, W., Schröder, J., Wall, W.A.: Technische Mechanik 1,SpringerGross, D., Hauger, W., Schröder, J., Wall, W.A.: Technische Mechanik 2Elastostatik, Springer

Course L0494: Mechanics IITyp Recitation Section (small)

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Christian Cyron



Course L1691: Mechanics IITyp Recitation Section (large)

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Christian Cyron, Dr. Konrad Schneider



[32]


Module M0851: Mathematics II

CoursesTitle Typ Hrs/wk CPAnalysis II (L1025) Lecture 2 2Analysis II (L1026) Recitation Section

(large) 1 1

Analysis II (L1027) Recitation Section(small) 1 1

Linear Algebra II (L0915) Lecture 2 2Linear Algebra II (L0916) Recitation Section

(small) 1 1

Linear Algebra II (L0917) Recitation Section(large) 1 1



RecommendedPrevious

KnowledgeMathematics I



Knowledge

Students can name further concepts in analysis and linear algebra. They areable to explain them using appropriate examples.Students can discuss logical connections between these concepts. They arecapable of illustrating these connections with the help of examples.They know proof strategies and can reproduce them.

Skills

Students can model problems in analysis and linear algebra with the help ofthe concepts studied in this course. Moreover, they are capable of solvingthem by applying established methods.Students are able to discover and verify further logical connections betweenthe concepts studied in the course.For a given problem, the students can develop and execute a suitableapproach, and are able to critically evaluate the results.

PersonalCompetence

Social Competence


Autonomy


[33]






scale60 min (Analysis II) + 60 min (Linear Algebra II)


Curricula

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryCivil- and Environmental Engineering: Core qualification: CompulsoryBioprocess Engineering: Core qualification: CompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryElectrical Engineering: Core qualification: CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryComputational Science and Engineering: Core qualification: CompulsoryLogistics and Mobility: Core qualification: CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryOrientierungsstudium: Core qualification: Elective CompulsoryNaval Architecture: Core qualification: CompulsoryProcess Engineering: Core qualification: Compulsory

Course L1025: Analysis IITyp Lecture

Hrs/wk 2CP 2



Content

power series and elementary functionsinterpolationintegration (proper integrals, fundamental theorem, integration rules,improper integrals, parameter dependent integralsapplications of integration (volume and surface of bodies of revolution, linesand arc length, line integralsnumerical quadratureperiodic functions

Literature

http://www.math.uni-hamburg.de/teaching/export/tuhh/index.html

[34]


Course L1026: Analysis IITyp Recitation Section (large)

Hrs/wk 1CP 1




Course L1027: Analysis IITyp Recitation Section (small)

Hrs/wk 1CP 1




Course L0915: Linear Algebra IITyp Lecture

Hrs/wk 2CP 2



Content

general vector spaces: subspaces, Euclidean vector spaceslinear mappings: basis transformation, orthogonal projection, orthogonalmatrices, householder matriceslinear regression: normal equations, linear discrete approximationeigenvalues: diagonalising matrices, normal matrices, symmetric andHermite matricessystem of linear differential equations matrix factorizations: LR-decomposition, QR-decomposition, Schurdecomposition, Jordan normal form, singular value decomposition

Literature

T. Arens u.a. : Mathematik, Spektrum Akademischer Verlag, Heidelberg 2009W. Mackens, H. Voß: Mathematik I für Studierende derIngenieurwissenschaften, HECO-Verlag, Alsdorf 1994W. Mackens, H. Voß: Aufgaben und Lösungen zur Mathematik I fürStudierende der Ingenieurwissenschaften, HECO-Verlag, Alsdorf 1994G. Strang: Lineare Algebra, Springer-Verlag, 2003 G. und S. Teschl: Mathematik für Informatiker, Band 1, Springer-Verlag, 2013

[35]


Course L0916: Linear Algebra IITyp Recitation Section (small)

Hrs/wk 1CP 1



Content

linear mappings: basis transformation, orthogonal projection, orthogonalmatrices, householder matriceslinear regression: QR-decomposition, normal equations, linear discreteapproximationeigenvalues: diagonalising matrices, normal matrices, symmetric andHermite matrices, Jordan normal form, singular value decompositionsystem of linear differential equations

LiteratureW. Mackens, H. Voß: Mathematik I für Studierende derIngenieurwissenschaften, HECO-Verlag, Alsdorf 1994W. Mackens, H. Voß: Aufgaben und Lösungen zur Mathematik I fürStudierende der Ingenieurwissenschaften, HECO-Verlag, Alsdorf 1994

Course L0917: Linear Algebra IITyp Recitation Section (large)

Hrs/wk 1CP 1

Workload in Hours Independent Study Time 16, Study Time in Lecture 14Lecturer Prof. Anusch Taraz, Prof. Marko Lindner, Dr. Christian Seifert



[36]


Module M0598: Mechanical Engineering: Design

CoursesTitle Typ Hrs/wk CPEmbodiment Design and 3D-CAD (L0268) Lecture 2 1Mechanical Design Project I (L0695) Project-/problem-

based Learning 3 2

Mechanical Design Project II (L0592) Project-/problem-based Learning 3 2

Team Project Design Methodology (L0267) Project-/problem-based Learning 2 1

ModuleResponsible Prof. Dieter Krause


RecommendedPrevious

Knowledge

Fundamentals of Mechanical Engineering DesignMechanicsFundamentals of Materials ScienceProduction Engineering



Knowledge


explain design guidelines for machinery parts e.g. considering load situation,materials and manufacturing requirements,describe basics of 3D CAD,explain basics methods of engineering designing.

Skills


independently create sketches, technical drawings and documentations e.g.using 3D CAD,design components based on design guidelines autonomously,dimension (calculate) used components,use methods to design and solve engineering design tasks systamtically andsolution-oriented,apply creativity techniques in teams.

PersonalCompetence

Social Competence


develop and evaluate solutions in groups including making and documentingdecisions,moderate the use of scientific methods,present and discuss solutions and technical drawings within groups,reflect the own results in the work groups of the course.

Autonomy

Students are able

to estimate their level of knowledge using activating methods within thelectures (e.g. with clickers),To solve engineering design tasks systematically.


[37]


Courseachievement

CompulsoryBonus Form Description

Yes None Written elaboration TeamprojektKonstruktionsmethodik

Yes None Written elaboration Konstruktionsprojekt 1Yes None Written elaboration Konstruktionsprojekt 2Yes None Written elaboration 3D-CAD-Praktikum


scale180


Curricula

General Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): Specialisation Energyand Enviromental Engineering: CompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation Energyand Enviromental Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryNaval Architecture: Core qualification: Compulsory

[38]


Course L0268: Embodiment Design and 3D-CADTyp Lecture

Hrs/wk 2CP 1

Workload in Hours Independent Study Time 2, Study Time in Lecture 28Lecturer Prof. Dieter Krause


Content

Basics of 3D CAD technologyPractical course to apply a 3D CAD system

Introduction to the systemSketching and creation of componentsCreation of assembliesDeriving technical drawings

Literature

CAx für Ingenieure eine praxisbezogene Einführung; Vajna, S., Weber, C.,Bley, H., Zeman, K.; Springer-Verlag, aktuelle Auflage.Handbuch Konstruktion; Rieg, F., Steinhilper, R.; Hanser; aktuelle Auflage.Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.Technisches Zeichnen: Grundlagen, Normen, Beispiele, DarstellendeGeometrie, Hoischen, H; Hesser, W; Cornelsen, aktuelle Auflage.Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelleAuflage.Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., SpringerVerlag, aktuelle Auflage.Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage.Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage.Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H.,Bodenstein, F., Springer-Verlag, aktuelle Auflage.Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek,J., Springer Vieweg, aktuelle Auflage.

[39]


Course L0695: Mechanical Design Project ITyp Project-/problem-based Learning

Hrs/wk 3CP 2

Workload in Hours Independent Study Time 18, Study Time in Lecture 42Lecturer Prof. Thorsten Schüppstuhl


Content

Create a technical documentation of an existing mechanical modelConsolidation of the following aspects of technical drawings:

Presentation of technical objects and standardized parts(bearings, seals, shaft-hub joints, detachable connections, springs,axes and shafts)Sectional viewsDimensioningTolerances and surface specificationsCreating a tally sheet

Literature

1. Hoischen, H.; Hesser, W.: Technisches Zeichnen. Grundlagen, Normen,Beispiele, darstellende Geometrie, 33. Auflage. Berlin 2011.

2. Labisch, S.; Weber, C.: Technisches Zeichnen. Selbstständig lernen undeffektiv üben, 4. Auflage. Wiesbaden 2008.

3. Fischer, U.: Tabellenbuch Metall, 43. Auflage. Haan-Gruiten 2005.

Course L0592: Mechanical Design Project IITyp Project-/problem-based Learning

Hrs/wk 3CP 2

Workload in Hours Independent Study Time 18, Study Time in Lecture 42Lecturer Prof. Wolfgang Hintze


Content

Generation of sketches for functions and sub-functionsApproximately calculation of shaftsDimension of bearings, screw connections and weldGeneration of engineering drawings (assembly drawings, manufacturingdrawing)

Literature

Dubbel, Taschenbuch für Maschinenbau, Beitz, W., Küttner, K.-H, Springer-Verlag.

Maschinenelemente, Band I - III, Niemann, G., Springer-Verlag.

Maschinen- und Konstruktionselemente, Steinhilper, W., Röper, R., Springer-Verlag.

Einführung in die DIN-Normen, Klein, M., Teubner-Verlag.

Konstruktionslehre, Pahl, G., Beitz, W., Springer-Verlag.

[40]


Course L0267: Team Project Design MethodologyTyp Project-/problem-based Learning

Hrs/wk 2CP 1

Workload in Hours Independent Study Time 2, Study Time in Lecture 28Lecturer Prof. Dieter Krause


Content

Introduction to engineering designing methodologyTeam Project Design Methodology

Creating requirement listsProblem formulationCreating functional structuresFinding solutionsEvaluation of the found conceptsDocumentation of the taken methodological steps and the conceptsusing presentation slides

Literature

Dubbel, Taschenbuch für den Maschinenbau; Grote, K.-H., Feldhusen, J.(Hrsg.); Springer-Verlag, aktuelle Auflage.Maschinenelemente, Band I-III; Niemann, G., Springer-Verlag, aktuelleAuflage. Maschinen- und Konstruktionselemente; Steinhilper, W., Röper, R., SpringerVerlag, aktuelle Auflage. Einführung in die DIN-Normen; Klein, M., Teubner-Verlag. Konstruktionslehre, Pahl, G.; Beitz, W., Springer-Verlag, aktuelle Auflage. Maschinenelemente 1-2; Schlecht, B., Pearson Verlag, aktuelle Auflage. Maschinenelemente - Gestaltung, Berechnung, Anwendung; Haberhauer, H.,Bodenstein, F., Springer-Verlag, aktuelle Auflage.Roloff/Matek Maschinenelemente; Wittel, H., Muhs, D., Jannasch, D., Voßiek,J., Springer Vieweg, aktuelle Auflage.Sowie weitere Bücher zu speziellen Themen

[41]


Module M0725: Production Engineering

CoursesTitle Typ Hrs/wk CPProduction Engineering I (L0608) Lecture 2 2Production Engineering I (L0612) Recitation Section

(large) 1 1Production Engineering II (L0610) Lecture 2 2Production Engineering II (L0611) Recitation Section

(large) 1 1

ModuleResponsible Prof. Wolfgang Hintze


RecommendedPrevious

Knowledge

no course assessments required

internship recommended



Knowledge

Students are able to ...

name basic criteria for the selection of manufacturing processes.name the main groups of Manufacturing Technology.name the application areas of different manufacturing processes.name boundaries, advantages and disadvantages of the differentmanufacturing process.describe elements, geometric properties and kinematic variables andrequirements for tools, workpiece and process.explain the essential models of manufacturing technology.

Skills

Students are able to...

select manufacturing processes in accordance with the requirements.design manufacturing processes for simple tasks to meet the requiredtolerances of the component to be produced.assess components in terms of their production-oriented construction.

PersonalCompetence

Social Competence

Students are able to ...

develop solutions in a production environment with qualified personnel attechnical level and represent decisions.

Autonomy

Students are able to ..

interpret independently the manufacturing process.assess own strengths and weaknesses in general.assess their learning progress and define gaps to be improved.assess possible consequences of their actions.

[42]





scale120 min


Curricula

General Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Product Development and Production: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: ElectiveCompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryEngineering Science: Specialisation Mechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Product Development and Production: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: ElectiveCompulsoryLogistics and Mobility: Specialisation Engineering Science: Elective CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: Compulsory

[43]


Course L0608: Production Engineering ITyp Lecture

Hrs/wk 2CP 2



Content

Manufacturing AccuracyManufacturing MetrologyMeasurement Errors and UncertaintiesIntroduction to FormingMassiv forming and Sheet Metal FormingIntroduction to Machining TechnologyGeometrically defined machining (Turning, milling, drilling, broaching,planning)

Literature

Dubbel, Heinrich (Grote, Karl-Heinrich.; Feldhusen, Jörg.; Dietz, Peter,; Ziegmann,Gerhard,;) Taschenbuch für den Maschinenbau : mit Tabellen. Berlin [u.a.] :Springer, 2007

Fritz, Alfred Herbert: Fertigungstechnik : mit 62 Tabellen. Berlin [u.a.] : Springer,2004

Keferstein, Claus P (Dutschke, Wolfgang,;): Fertigungsmesstechnik :praxisorientierte Grundlagen, moderne Messverfahren. Wiesbaden : Teubner, 2008

Mohr, Richard: Statistik für Ingenieure und Naturwissenschaftler : Grundlagen undAnwendung statistischer Verfahren. Renningen : expert-Verl, 2008

Klocke, F., König, W.: Fertigungsverfahren Bd. 1 Drehen, Fäsen, Bohren. 8. Aufl.,Springer (2008)

Klocke, Fritz (König, Wilfried,;): Umformen. Berlin [u.a.] : Springer, 2006

Paucksch, E.: Zerspantechnik, Vieweg-Verlag, 1996

Tönshoff, H.K.; Denkena, B., Spanen. Grundlagen, Springer-Verlag (2004)

Course L0612: Production Engineering ITyp Recitation Section (large)

Hrs/wk 1CP 1




[44]


Course L0610: Production Engineering IITyp Lecture

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Wolfgang Hintze, Prof. Claus Emmelmann


Content

Geometrically undefined machining (grinding, lapping, honing)Introduction into erosion technologyIntroduction into blastig processesIntroduction to the manufacturing process forming (Casting, PowderMetallurgy, Composites)Fundamentals of Laser TechnologyProcess versions and Fundamentals of Laser Joining Technology

Literature

Klocke, F., König, W.: Fertigungsverfahren Bd. 2 Schleifen, Honen, Läppen, 4. Aufl.,Springer (2005)

Klocke, F., König, W.: Fertigungsverfahren Bd. 3 Abtragen, Generieren undLasermaterialbearbeitung. 4. Aufl., Springer (2007)

Spur, Günter (Stöferle, Theodor.;): Urformen. München [u.a.] : Hanser, 1981

Schatt, Werner (Wieters, Klaus-Peter,; Kieback, Bernd,;): Pulvermetallurgie :Technologien und Werkstoffe. Berlin [u.a.] : Springer, 2007

Course L0611: Production Engineering IITyp Recitation Section (large)

Hrs/wk 1CP 1

Workload in Hours Independent Study Time 16, Study Time in Lecture 14Lecturer Prof. Wolfgang Hintze, Prof. Claus Emmelmann



[45]


Modu le M0708: Electrical Engineering III: Circuit Theory andTransients

CoursesTitle Typ Hrs/wk CPCircuit Theory (L0566) Lecture 3 4Circuit Theory (L0567) Recitation Section

(small) 2 2

ModuleResponsible Prof. Arne Jacob


RecommendedPrevious

Knowledge

Electrical Engineering I and II, Mathematics I and II



Knowledge

Students are able to explain the basic methods for calculating electrical circuits.They know the Fourier series analysis of linear networks driven by periodic signals.They know the methods for transient analysis of linear networks in time and infrequency domain, and they are able to explain the frequency behaviour and thesynthesis of passive two-terminal-circuits.

Skills

The students are able to calculate currents and voltages in linear networks bymeans of basic methods, also when driven by periodic signals. They are able tocalculate transients in electrical circuits in time and frequency domain and are ableto explain the respective transient behaviour. They are able to analyse and tosynthesize the frequency behaviour of passive two-terminal-circuits.

PersonalCompetence

Social Competence

Students work on exercise tasks in small guided groups. They are encouraged topresent and discuss their results within the group.

Autonomy

The students are able to find out the required methods for solving the given practiceproblems. Possibilities are given to test their knowledge during the lecturescontinuously by means of short-time tests. This allows them to controlindependently their educational objectives. They can link their gained knowledge toother courses like Electrical Engineering I and Mathematics I.




scale150 min

[46]



Curricula

General Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: CompulsoryElectrical Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryComputational Science and Engineering: Specialisation II. Mathematics &Engineering Science: Elective CompulsoryComputational Science and Engineering: Specialisation Engineering Sciences:Elective CompulsoryMechatronics: Core qualification: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective Compulsory

Course L0566: Circuit TheoryTyp Lecture

Hrs/wk 3CP 4

Workload in Hours Independent Study Time 78, Study Time in Lecture 42Lecturer Prof. Arne Jacob


Content

- Circuit theorems

- N-port circuits

- Periodic excitation of linear circuits

- Transient analysis in time domain

- Transient analysis in frequency domain; Laplace Transform

- Frequency behaviour of passive one-ports

Literature

- M. Albach, "Grundlagen der Elektrotechnik 1", Pearson Studium (2011)

- M. Albach, "Grundlagen der Elektrotechnik 2", Pearson Studium (2011)

- L. P. Schmidt, G. Schaller, S. Martius, "Grundlagen der Elektrotechnik 3", PearsonStudium (2011)


- A. Hambley, "Electrical Engineering: Principles and Applications", Pearson (2008)- R. C. Dorf, J. A. Svoboda, "Introduction to electrical circuits", Wiley (2006)

- L. Moura, I. Darwazeh, "Introduction to Linear Circuit Analysis and Modeling",Amsterdam Newnes (2005)

[47]


Course L0567: Circuit TheoryTyp Recitation Section (small)

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Arne Jacob


Content see interlocking course

Literaturesiehe korrespondierende Lehrveranstaltung

see interlocking course

[48]


Module M0959: Mechanics III (Dynamics)

CoursesTitle Typ Hrs/wk CPMechanics III (Dynamics) (L1134) Lecture 3 3Mechanics III (Dynamics) (L1135) Recitation Section

(small) 2 2

Mechanics III (Dynamics) (L1136) Recitation Section(large) 1 1



RecommendedPrevious

KnowledgeMathematics I, II, Mechanics I (Statics)



Knowledge

The students can

describe the axiomatic procedure used in mechanical contexts;explain important steps in model design;present technical knowledge in stereostatics.

Skills

The students can

explain the important elements of mathematical / mechanical analysis andmodel formation, and apply it to the context of their own problems;apply basic hydrostatical, kinematic and kinetic methods to engineeringproblems;estimate the reach and boundaries of statical methods and extend them tobe applicable to wider problem sets.

PersonalCompetence






scale120 min


Curricula

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryData Science: Core qualification: Elective CompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryNaval Architecture: Core qualification: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective Compulsory

[49]


Course L1134: Mechanics III (Dynamics)Typ Lecture

Hrs/wk 3CP 3



Content

Kinematics

Kinematics of points and relative motionPlanar and spatial motion of point systems and rigid bodies

Dynamics

TermsFundamental equationsMotion of the rigid body in 3D-spaceDynamics of gyroscopes, rotorsRealtive kineticsSystems with non-constant mass

Vibrations

LiteratureK. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage,Teubner (2009). D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 3 und 4. 11.Auflage, Springer (2011).

Course L1135: Mechanics III (Dynamics)Typ Recitation Section (small)

Hrs/wk 2CP 2




Course L1136: Mechanics III (Dynamics)Typ Recitation Section (large)

Hrs/wk 1CP 1




[50]


Module M0730: Computer Engineering

CoursesTitle Typ Hrs/wk CPComputer Engineering (L0321) Lecture 3 4Computer Engineering (L0324) Recitation Section

(small) 1 2

ModuleResponsible Prof. Heiko Falk


RecommendedPrevious

KnowledgeBasic knowledge in electrical engineering



Knowledge

This module deals with the foundations of the functionality of computing systems. Itcovers the layers from the assembly-level programming down to gates. The moduleincludes the following topics:

IntroductionCombinational logic: Gates, Boolean algebra, Boolean functions, hardwaresynthesis, combinational networksSequential logic: Flip-flops, automata, systematic hardware designTechnological foundationsComputer arithmetic: Integer addition, subtraction, multiplication anddivisionBasics of computer architecture: Programming models, MIPS single-cyclearchitecture, pipeliningMemories: Memory hierarchies, SRAM, DRAM, cachesInput/output: I/O from the perspective of the CPU, principles of passing data,point-to-point connections, busses

Skills

The students perceive computer systems from the architect's perspective, i.e., theyidentify the internal structure and the physical composition of computer systems.The students can analyze, how highly specific and individual computers can be builtbased on a collection of few and simple components. They are able to distinguishbetween and to explain the different abstraction layers of today's computingsystems - from gates and circuits up to complete processors.

After successful completion of the module, the students are able to judge theinterdependencies between a physical computer system and the software executedon it. In particular, they shall understand the consequences that the execution ofsoftware has on the hardware-centric abstraction layers from the assemblylanguage down to gates. This way, they will be enabled to evaluate the impact thatthese low abstraction levels have on an entire system's performance and topropose feasible options.

PersonalCompetence

Social CompetenceStudents are able to solve similar problems alone or in a group and to present theresults accordingly.

AutonomyStudents are able to acquire new knowledge from specific literature and toassociate this knowledge with other classes.


[51]


Courseachievement

CompulsoryBonus Form DescriptionYes 10 % Excercises


scale90 minutes, contents of course and labs


Curricula

General Engineering Science (German program, 7 semester): SpecialisationComputer Science: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationBioprocess Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): Specialisation NavalArchitecture: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): Specialisation Energyand Enviromental Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): Specialisation ProcessEngineering: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Biomechanics: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Aircraft Systems Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Materials in Engineering Sciences: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Product Development and Production: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Energy Systems: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Energy Systems: CompulsoryGeneral Engineering Science (German program, 7 semester): Specialisation CivilEngineering: CompulsoryComputer Science: Core qualification: CompulsoryData Science: Core qualification: Elective CompulsoryElectrical Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation CivilEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBioprocess Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation Energyand Enviromental Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationComputer Science: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Biomechanics: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Energy Systems: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Aircraft Systems Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Materials in Engineering Sciences: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Product Development and Production: Compulsory

[52]


General Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation NavalArchitecture: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ProcessEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryComputational Science and Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryTechnomathematics: Specialisation II. Informatics: Elective Compulsory

Course L0321: Computer EngineeringTyp Lecture

Hrs/wk 3CP 4

Workload in Hours Independent Study Time 78, Study Time in Lecture 42Lecturer Prof. Heiko Falk

Language DE/ENCycle WiSe

Content

IntroductionCombinational LogicSequential LogicTechnological FoundationsRepresentations of Numbers, Computer ArithmeticsFoundations of Computer ArchitectureMemoriesInput/Output

LiteratureA. Clements. The Principles of Computer Hardware. 3. Auflage, OxfordUniversity Press, 2000.A. Tanenbaum, J. Goodman. Computerarchitektur. Pearson, 2001.D. Patterson, J. Hennessy. Rechnerorganisation und -entwurf. Elsevier, 2005.

Course L0324: Computer EngineeringTyp Recitation Section (small)

Hrs/wk 1CP 2

Workload in Hours Independent Study Time 46, Study Time in Lecture 14Lecturer Prof. Heiko Falk

Language DE/ENCycle WiSe


[53]


Module M0853: Mathematics III

CoursesTitle Typ Hrs/wk CPAnalysis III (L1028) Lecture 2 2Analysis III (L1029) Recitation Section

(small) 1 1

Analysis III (L1030) Recitation Section(large) 1 1

Differential Equations 1 (Ordinary Differential Equations) (L1031) Lecture 2 2Differential Equations 1 (Ordinary Differential Equations) (L1032) Recitation Section

(small) 1 1

Differential Equations 1 (Ordinary Differential Equations) (L1033) Recitation Section(large) 1 1



RecommendedPrevious

KnowledgeMathematics I + II



Knowledge

Students can name the basic concepts in the area of analysis and differentialequations. They are able to explain them using appropriate examples.Students can discuss logical connections between these concepts. They arecapable of illustrating these connections with the help of examples.They know proof strategies and can reproduce them.

Skills

Students can model problems in the area of analysis and differentialequations with the help of the concepts studied in this course. Moreover,they are capable of solving them by applying established methods.Students are able to discover and verify further logical connections betweenthe concepts studied in the course.For a given problem, the students can develop and execute a suitableapproach, and are able to critically evaluate the results.

PersonalCompetence

Social Competence


Autonomy


[54]






scale60 min (Analysis III) + 60 min (Differential Equations 1)


Curricula

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryCivil- and Environmental Engineering: Core qualification: CompulsoryBioprocess Engineering: Core qualification: CompulsoryComputer Science: Core qualification: CompulsoryData Science: Core qualification: CompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryElectrical Engineering: Core qualification: CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryEngineering Science: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): Core qualification:CompulsoryComputational Science and Engineering: Core qualification: CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryNaval Architecture: Core qualification: CompulsoryProcess Engineering: Core qualification: Compulsory

Course L1028: Analysis IIITyp Lecture

Hrs/wk 2CP 2



Content

Main features of differential and integrational calculus of several variables

Differential calculus for several variablesMean value theorems and Taylor's theoremMaximum and minimum valuesImplicit functionsMinimization under equality constraintsNewton's method for multiple variablesDouble integrals over general regionsLine and surface integralsTheorems of Gauß and Stokes

Literaturehttp://www.math.uni-hamburg.de/teaching/export/tuhh/index.html

[55]


Course L1029: Analysis IIITyp Recitation Section (small)

Hrs/wk 1CP 1




Course L1030: Analysis IIITyp Recitation Section (large)

Hrs/wk 1CP 1




Course L1031: Differential Equations 1 (Ordinary Differential Equations)Typ Lecture

Hrs/wk 2CP 2



Content

Main features of the theory and numerical treatment of ordinary differentialequations

Introduction and elementary methodsExsitence and uniqueness of initial value problemsLinear differential equationsStability and qualitative behaviour of the solutionBoundary value problems and basic concepts of calculus of variationsEigenvalue problemsNumerical methods for the integration of initial and boundary value problemsClassification of partial differential equations


[56]


Course L1032: Differential Equations 1 (Ordinary Differential Equations)Typ Recitation Section (small)

Hrs/wk 1CP 1




Course L1033: Differential Equations 1 (Ordinary Differential Equations)Typ Recitation Section (large)

Hrs/wk 1CP 1




[57]


Module M0671: Technical Thermodynamics I

CoursesTitle Typ Hrs/wk CPTechnical Thermodynamics I (L0437) Lecture 2 4Technical Thermodynamics I (L0439) Recitation Section

(large) 1 1

Technical Thermodynamics I (L0441) Recitation Section(small) 1 1

ModuleResponsible Prof. Gerhard Schmitz


RecommendedPrevious

KnowledgeElementary knowledge in Mathematics and Mechanics



Knowledge

Students are familiar with the laws of Thermodynamics. They know the relation ofthe kinds of energy according to 1st law of Thermodynamics and are aware aboutthe limits of energy conversions according to 2nd law of Thermodynamics. They areable to distinguish between state variables and process variables and know themeaning of different state variables like temperature, enthalpy, entropy and alsothe meaning of exergy and anergy. They are able to draw the Carnot cycle in aThermodynamics related diagram. They know the physical difference between anideal and a real gas and are able to use the related equations of state. They knowthe meaning of a fundamental state of equation and know the basics of two phaseThermodynamics.

Skills

Students are able to calculate the internal energy, the enthalpy, the kinetic and thepotential energy as well as work and heat for simple change of states and to usethis calculations for the Carnot cycle. They are able to calculate state variables foran ideal and for a real gas from measured thermal state variables.

PersonalCompetence

Social Competence The students are able to discuss in small groups and develop an approach.

AutonomyStudents are able to define independently tasks, to get new knowledge fromexisting knowledge as well as to find ways to use the knowledge in practice.




scale90 min

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryBioprocess Engineering: Core qualification: CompulsoryDigital Mechanical Engineering: Core qualification: Compulsory

[58]



Curricula

Energy and Environmental Engineering: Core qualification: CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryOrientierungsstudium: Core qualification: Elective CompulsoryNaval Architecture: Core qualification: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective CompulsoryProcess Engineering: Core qualification: Compulsory

Course L0437: Technical Thermodynamics ITyp Lecture

Hrs/wk 2CP 4

Workload in Hours Independent Study Time 92, Study Time in Lecture 28Lecturer Prof. Gerhard Schmitz


Content

1. Introduction2. Fundamental terms3. Thermal Equilibrium and temperature

3.1 Thermal equation of state4. First law

4.1 Heat and work4.2 First law for closed systems4.3 First law for open systems4.4 Examples

5. Equations of state and changes of state5.1 Changes of state5.2 Cycle processes

6. Second law6.1 Carnot process6.2 Entropy6.3 Examples6.4 Exergy

7. Thermodynamic properties of pure fluids7.1 Fundamental equations of Thermodynamics7.2 Thermodynamic potentials7.3 Calorific state variables for arbritary fluids7.4 state equations (van der Waals u.a.)

Literature

Schmitz, G.: Technische Thermodynamik, TuTech Verlag, Hamburg, 2009

Baehr, H.D.; Kabelac, S.: Thermodynamik, 15. Auflage, Springer Verlag, Berlin2012

Potter, M.; Somerton, C.: Thermodynamics for Engineers, Mc GrawHill, 1993

[59]


Course L0439: Technical Thermodynamics ITyp Recitation Section (large)

Hrs/wk 1CP 1




Course L0441: Technical Thermodynamics ITyp Recitation Section (small)

Hrs/wk 1CP 1




[60]


Module M0672: Signals and Systems

CoursesTitle Typ Hrs/wk CPSignals and Systems (L0432) Lecture 3 4Signals and Systems (L0433) Recitation Section

(small) 2 2

ModuleResponsible Prof. Gerhard Bauch


RecommendedPrevious

Knowledge

Mathematics 1-3

The modul is an introduction to the theory of signals and systems. Good knowledgein maths as covered by the moduls Mathematik 1-3 is expected. Further experiencewith spectral transformations (Fourier series, Fourier transform, Laplace transform)is useful but not required.



Knowledge

The students are able to classify and describe signals and linear time-invariant (LTI)systems using methods of signal and system theory. They are able to apply thefundamental transformations of continuous-time and discrete-time signals andsystems. They can describe and analyse deterministic signals and systemsmathematically in both time and image domain. In particular, they understand theeffects in time domain and image domain which are caused by the transition ofa continuous-time signal to a discrete-time signal.

Skills

The students are able to describe and analyse deterministic signals and linear time-invariant systems using methods of signal and system theory. They can analyse anddesign basic systems regarding important properties such as magnitude and phaseresponse, stability, linearity etc.. They can assess the impact of LTI systems on thesignal properties in time and frequency domain.

PersonalCompetence

Social Competence The students can jointly solve specific problems.

AutonomyThe students are able to acquire relevant information from appropriate literaturesources. They can control their level of knowledge during the lecture period bysolving tutorial problems, software tools, clicker system.




scale90 min

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryComputer Science: Core qualification: CompulsoryData Science: Core qualification: CompulsoryElectrical Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBioprocess Engineering: Compulsory

[61]



Curricula

General Engineering Science (English program, 7 semester): SpecialisationComputer Science: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Biomechanics: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Energy Systems: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Aircraft Systems Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Materials in Engineering Sciences: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ProcessEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryComputational Science and Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective Compulsory

Course L0432: Signals and SystemsTyp Lecture

Hrs/wk 3CP 4

Workload in Hours Independent Study Time 78, Study Time in Lecture 42Lecturer Prof. Gerhard Bauch

Language DE/ENCycle SoSe

Introduction to signal and system theory

SignalsClassification of signals

Continuous-time and discrete-time signalsAnalog and digital signalsDeterministic and random signals

Description of LTI systems by differential equations or differenceequations, respectivelyBasic properties of signals and operations on signalsElementary signalsDistributions (Generalized Functions)Power and energy of signalsCorrelation functions of deterministic signals

Autocorrelation functionCrosscorrelation functionOrthogonal signalsApplications of correlation

Linear time-invariant (LTI) systemsLinearityTime-invarianceDescription of LTI systems by impulse response and frequencyresponseConvolutionConvolution and correlationProperties of LTI-systemsCausal systemsStable systemsMemoryless systems

Fourier Series and Fourier TransformFourier transform of continuous-time signals, discrete-time signals,

[62]


Content

periodic signals, non-periodic signalsProperties of the Fourier transformFourier transform of some basic signalsParseval’s theorem

Analysis of LTI-systems and signals in the frequency domainFrequency response, magnitude response and phase responseTransmission factor, attenuation, gainFrequency-flat and frequency-selective LTI-systemsBandwidth definitionsBasic types of systems (filters), lowpass, highpass, bandpass,bandstop systemsPhase delay and group delayLinear-phase systemsDistortion-free systemsSpectrum analysis with limited observation window: Leakage effect

Laplace TransformRelation of Fourier transform and Laplace transformProperties of the Laplace transformLaplace transform of some basic signals

Analysis of LTI-systems in the s-domainTransfer function of LTI-systemsRelation of Laplace transform, magnitude response and phaseresponseAnalysis of LTI-systems using pole-zero plotsAllpass filtersMinimum-phase, maximum-phase and mixed phase filtersStable systems

SamplingSampling theoremReconstruction of continuous-time signals in frequency domain andtime domainOversamplingAliasingSampling with pulses of finite duration, sample and holdDecimation and interpolation

Discrete-Time Fourier Transform (DTFT)Relation of Fourier transform and DTFTProperties of the DTFT

Discrete Fourier Transform (DFT)Relation of DTFT and DFTCyclic properties of the DFTDFT matrixZero paddingCyclic convolutionFast Fourier Transform (FFT)Application of the DFT: Orthogonal Frequency Division Multiplex(OFDM)

Z-TransformRelation of Laplace transform, DTFT, and z-transformProperties of the z-transformZ-transform of some basic discrete-time signals

Discrete-time systems, digital filtersFIR and IIR filtersZ-transform of digital filtersAnalysis of discrete-time systems using pole-zero plots in the z-domainStabilityAllpass filtersMinimum-phase, maximum-phase and mixed-phase filtersLinear phase filters

T. Frey , M. Bossert , Signal- und Systemtheorie, B.G. Teubner Verlag 2004

K. Kammeyer, K. Kroschel, Digitale Signalverarbeitung, Teubner Verlag.

[63]


Literature

B. Girod ,R. Rabensteiner , A. Stenger , Einführung in die Systemtheorie, B.G.Teubner, Stuttgart, 1997

J.R. Ohm, H.D. Lüke , Signalübertragung, Springer-Verlag 8. Auflage, 2002

S. Haykin, B. van Veen: Signals and systems. Wiley.

Oppenheim, A.S. Willsky: Signals and Systems. Pearson.

Oppenheim, R. W. Schafer: Discrete-time signal processing.Pearson.

Course L0433: Signals and SystemsTyp Recitation Section (small)

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Gerhard Bauch

Language DE/ENCycle SoSe


[64]


Module M0960: Mechanics IV (Oscillations, Analytical Mechanics,Multibody Systems, Numerical Mechanics)

CoursesTitle Typ Hrs/wk CPMechanics IV (Oscillations, Analytical Mechanics, NumericalMechanics) (L1137) Lecture 3 3Mechanics IV (Oscillations, Analytical Mechanics, NumericalMechanics) (L1138)


Mechanics IV (Oscillations, Analytical Mechanics, NumericalMechanics) (L1139)

Recitation Section(large) 1 1



RecommendedPrevious

KnowledgeMathematics I-III and Mechanics I-III



Knowledge

The students can

describe the axiomatic procedure used in mechanical contexts;explain important steps in model design;present technical knowledge.

Skills

The students can

explain the important elements of mathematical / mechanical analysis andmodel formation, and apply it to the context of their own problems;apply basic methods to engineering problems;estimate the reach and boundaries of the methods and extend them to beapplicable to wider problem sets.

PersonalCompetence






scale120 min

General Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): Specialisation Naval

[65]



Curricula

Architecture: CompulsoryEnergy Systems: Technical Complementary Course Core Studies: ElectiveCompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation NavalArchitecture: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryNaval Architecture: Core qualification: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective CompulsoryTheoretical Mechanical Engineering: Technical Complementary Course Core Studies:Elective Compulsory

Course L1137: Mechanics IV (Oscillations, Analytical Mechanics, Numerical Mechanics)Typ Lecture

Hrs/wk 3CP 3



Content

Elements of vibration theoryVibration of Multi-degree of freedom systemsAnalytical MechanicsMultibody SystemsNumerical methods for time integrationIntroduction to Matlab

Literature

K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage,Teubner (2009). D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1-4. 11. Auflage,Springer (2011).

W. Schiehlen, P. Eberhard: Technische Dynamik, Springer (2012).

Course L1138: Mechanics IV (Oscillations, Analytical Mechanics, Numerical Mechanics)Typ Recitation Section (small)

Hrs/wk 2CP 2




[66]


Course L1139: Mechanics IV (Oscillations, Analytical Mechanics, Numerical Mechanics)Typ Recitation Section (large)

Hrs/wk 1CP 1




[67]


Module M0854: Mathematics IV

CoursesTitle Typ Hrs/wk CPDifferential Equations 2 (Partial Differential Equations) (L1043) Lecture 2 1Differential Equations 2 (Partial Differential Equations) (L1044) Recitation Section

(small) 1 1

Differential Equations 2 (Partial Differential Equations) (L1045) Recitation Section(large) 1 1

Complex Functions (L1038) Lecture 2 1Complex Functions (L1041) Recitation Section

(small) 1 1

Complex Functions (L1042) Recitation Section(large) 1 1



RecommendedPrevious

KnowledgeMathematics 1 - III



Knowledge

Students can name the basic concepts in Mathematics IV. They are able toexplain them using appropriate examples.Students can discuss logical connections between these concepts. They arecapable of illustrating these connections with the help of examples.They know proof strategies and can reproduce them.

Skills

Students can model problems in Mathematics IV with the help of the conceptsstudied in this course. Moreover, they are capable of solving them byapplying established methods.Students are able to discover and verify further logical connections betweenthe concepts studied in the course.For a given problem, the students can develop and execute a suitableapproach, and are able to critically evaluate the results.

PersonalCompetence

Social Competence


Autonomy


[68]






scale60 min (Complex Functions) + 60 min (Differential Equations 2)


Curricula

General Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryGeneral Engineering Science (German program, 7 semester): Specialisation NavalArchitecture: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: ElectiveCompulsoryComputer Science: Specialisation Computational Mathematics: Elective CompulsoryComputer Science: Specialisation II. Mathematics and Engineering Science: ElectiveCompulsoryElectrical Engineering: Core qualification: CompulsoryEngineering Science: Specialisation Electrical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation NavalArchitecture: CompulsoryComputational Science and Engineering: Specialisation II. Mathematics &Engineering Science: Elective CompulsoryMechanical Engineering: Specialisation Mechatronics: CompulsoryMechanical Engineering: Specialisation Theoretical Mechanical Engineering: ElectiveCompulsoryMechanical Engineering: Specialisation Theoretical Mechanical Engineering:CompulsoryMechatronics: Core qualification: CompulsoryNaval Architecture: Core qualification: CompulsoryTheoretical Mechanical Engineering: Technical Complementary Course Core Studies:Elective Compulsory

[69]


Course L1043: Differential Equations 2 (Partial Differential Equations)Typ Lecture

Hrs/wk 2CP 1



Content

Main features of the theory and numerical treatment of partial differentialequations

Examples of partial differential equationsFirst order quasilinear differential equationsNormal forms of second order differential equationsHarmonic functions and maximum principleMaximum principle for the heat equationWave equationLiouville's formulaSpecial functionsDifference methodsFinite elements


Course L1044: Differential Equations 2 (Partial Differential Equations)Typ Recitation Section (small)

Hrs/wk 1CP 1




Course L1045: Differential Equations 2 (Partial Differential Equations)Typ Recitation Section (large)

Hrs/wk 1CP 1




[70]


Course L1038: Complex FunctionsTyp Lecture

Hrs/wk 2CP 1



Content

Main features of complex analysis

Functions of one complex variableComplex differentiationConformal mappingsComplex integrationCauchy's integral theoremCauchy's integral formulaTaylor and Laurent series expansionSingularities and residualsIntegral transformations: Fourier and Laplace transformation


Course L1041: Complex FunctionsTyp Recitation Section (small)

Hrs/wk 1CP 1




Course L1042: Complex FunctionsTyp Recitation Section (large)

Hrs/wk 1CP 1




[71]


Module M0688: Technical Thermodynamics II

CoursesTitle Typ Hrs/wk CPTechnical Thermodynamics II (L0449) Lecture 2 4Technical Thermodynamics II (L0450) Recitation Section

(large) 1 1

Technical Thermodynamics II (L0451) Recitation Section(small) 1 1

ModuleResponsible Prof. Gerhard Schmitz


RecommendedPrevious

KnowledgeElementary knowledge in Mathematics, Mechanics and Technical Thermodynamics I



Knowledge

Students are familiar with different cycle processes like Joule, Otto, Diesel, Stirling,Seiliger and Clausius-Rankine. They are able to derive energetic and exergeticefficiencies and know the influence different factors. They know the differencebetween anti clockwise and clockwise cycles (heat-power cycle, cooling cycle). Theyhave increased knowledge of steam cycles and are able to draw the different cyclesin Thermodynamics related diagrams. They know the laws of gas mixtures,especially of humid air processes and are able to perform simple combustioncalculations. They are provided with basic knowledge in gas dynamics and know thedefinition of the speed of sound and know about a Laval nozzle.

Skills

Students are able to use thermodynamic laws for the design of technical processes.Especially they are able to formulate energy, exergy- and entropy balances and bythis to optimise technical processes. They are able to perform simple safetycalculations in regard to an outflowing gas from a tank. They are able to transform averbal formulated message into an abstract formal procedure.

PersonalCompetence

Social Competence The students are able to discuss in small groups and develop an approach.

Autonomy

Students are able to define independently tasks, to get new knowledge fromexisting knowledge as well as to find ways to use the knowledge in practice.



Examination Written examExamination

[72]


duration andscale

90 min


Curricula

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryBioprocess Engineering: Core qualification: CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryEnergy Systems: Technical Complementary Course Core Studies: ElectiveCompulsoryEngineering Science: Core qualification: CompulsoryEngineering Science: Specialisation Mechanical Engineering: Elective CompulsoryGeneral Engineering Science (English program, 7 semester): Core qualification:CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering: Elective CompulsoryComputational Science and Engineering: Specialisation Engineering Sciences:Elective CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective CompulsoryProcess Engineering: Core qualification: Compulsory

Course L0449: Technical Thermodynamics IITyp Lecture

Hrs/wk 2CP 4



Content

8. Cycle processes

7. Gas - vapor - mixtures

10. Open sytems with constant flow rates

11. Combustion processes

12. Special fields of Thermodynamics

Literature

Schmitz, G.: Technische Thermodynamik, TuTech Verlag, Hamburg, 2009

Baehr, H.D.; Kabelac, S.: Thermodynamik, 15. Auflage, Springer Verlag, Berlin2012

Potter, M.; Somerton, C.: Thermodynamics for Engineers, Mc GrawHill, 1993

Course L0450: Technical Thermodynamics IITyp Recitation Section (large)

Hrs/wk 1CP 1




[73]


Course L0451: Technical Thermodynamics IITyp Recitation Section (small)

Hrs/wk 1CP 1




[74]


Module M0956: Measurement Technology for Mechanical Engineers

CoursesTitle Typ Hrs/wk CPPractical Course: Measurement and Control Systems (L1119) Practical Course 2 2Measurement Technology for Mechanical Engineering (L1116) Lecture 2 3Measurement Technology for Mechanical Engineering (L1118) Recitation Section

(large) 1 1

ModuleResponsible Prof. Thorsten Kern


RecommendedPrevious

KnowledgeBasic knowledge of physics, chemistry and electrical engineering



Knowledge

Students are able to name the most important fundmentals of the MeasurementTechnology (Quantities and Units, Uncertainty, Calibration, Static and DynamicProperties of Sensors and Systems).

They can outline the most important measuring methods for different kinds ofquantities to be maesured (Electrical Quantities, Temperature, mechanicalquantities, Flow, Time, Frequency).

They can describe important methods of chemical Analysis (Gas Sensors,Spectroscopy, Gas Chromatography)

Skills

Students can select suitable measuring methods to given problems and can userefering measurement devices in practice.

The students are able to orally explain issues in the subject area of measurementtechnology and solution approaches as well as place the issues into the rightcontext and application area.

PersonalCompetence

Social Competence

Students can arrive at work results in groups and document them in a commonreport.

Autonomy Students are able to familiarize themselves with new measurement technologies.


Courseachievement

CompulsoryBonus Form Description

Yes None Subject theoretical andpractical work


scale105 minutes

General Engineering Science (German program, 7 semester): Specialisation

[75]



Curricula

Mechanical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): Specialisation Energyand Enviromental Engineering: CompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryEngineering Science: Specialisation Mechatronics: CompulsoryEngineering Science: Specialisation Mechanical Engineering: CompulsoryEngineering Science: Specialisation Biomedical Engineering: Elective CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation Energyand Enviromental Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechatronics: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBiomedical Engineering: Elective CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryProcess Engineering: Core qualification: Compulsory

[76]


Course L1119: Practical Course: Measurement and Control SystemsTyp Practical Course

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Thorsten Kern

Language DECycle WiSe/SoSe

Content

Experiment 1: Emission and immission measurement of gaseous pollutants:different technologies to determine different gaseous pollutants in automotiveexhaust are used.

Experiment 2: Simulation and measurement of asynchrone engine and rotary pump:the dynamic behaviour of e pump engine will be investigated. The starting will besimulated on a PC and compared with measurement.

Experiment 3: Michelson interferometer and fiber optic: fundamental opticalphenonema will be understood and applications with Michelson interferometer andoptical fibers demonstrated.

Experiment 4:Identification of the parameters of a control system and optimalcontrol parameters

Literature

Versuch 1:

Leith, W.: Die Analyse der Luft und ihrer Verunreinigung in der freienAtmosphäre und am Arbeitsplatz. 2. Aufl., WissenschaftlicheVerlagsgesellschaft, Stuttgart, 1974Birkle, M.: Meßtechnik für den Immissionsschutz, Messen der gas- undpartikelförmigen Luftverunreinigungen. R. Oldenburg Verlag, München-Wien,1979Luftbericht 83/84, Freie und Hansestadt Hamburg, Behörde fürBezirksangelegenheiten, Naturschutz und UmweltgestaltungGebrauchs- und BedienungsanweisungenVDI-Handbuch Reinhaltung der Luft, Band 5: VDI-Richtlinien 2450 Bl.1, 2451Bl.4, 2453 Bl.5, 2455 Bl.1

Versuch 2:

Grundlagen über elektrische Maschinen, speziell: AsynchronmotorenSimulationsmethoden, speziell: Verwendung von BlockschaltbildernBetriebsverhalten von Kreispumpen, speziell: Kennlinien, Ähnlichkeitsgesetze

Versuch 3:

Unger, H.-G.: Optische Nachrichtentechnik, Teil 1: Optische Wellenleiter.Hüthing Verlag, Heidelberg, 1984Dakin, J., Cushaw, B.: Optical Fibre Sensors: Principles and Components.Artech House Boston, 1988Culshaw, B., Dakin, J.: Optical Fibre Sensors: Systems and Application. ArtechHouse Boston, 1989

Versuch 4:

Leonhard: Einführung in die Regelungstechnik. Vieweg Verlag, Braunschweig-WiesbadenJan Lunze: Systemtheoretische Grundlagen, Analyse und Entwurfeinschleifiger Regelungen

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Course L1116: Measurement Technology for Mechanical EngineeringTyp Lecture

Hrs/wk 2CP 3

Workload in Hours Independent Study Time 62, Study Time in Lecture 28Lecturer Prof. Thorsten Kern, Dennis Kähler

Language ENCycle WiSe

Content

1 Fundamentals

1.1 Quantities and Units

1.2 Uncertainty

1.3 Calibration

1.4 Static and Dynamic Properties of Sensors and Systems

2 Measurement of Electrical Quantities

2.1 Current and Voltage

2.2 Impedance

2.3 Amplification

2.4 Oscilloscope

2.5 Analog-to-Digital Conversion

2.6 Data Transmission

3 Measurement of Nonelectric Quantities

3.1 Temperature

3.2 Length, Displacement, Angle

3.3 Strain, Force, Pressure

3.4 Flow

3.5 Time, Frequency

Literature

Lerch, R.: „Elektrische Messtechnik; Analoge, digitale und computergestützteVerfahren“, Springer, 2006, ISBN: 978-3-540-34055-3.

Profos, P. Pfeifer, T.: „Handbuch der industriellen Messtechnik“, Oldenbourg, 2002,ISBN: 978-3486217940.

Course L1118: Measurement Technology for Mechanical EngineeringTyp Recitation Section (large)

Hrs/wk 1CP 1

Workload in Hours Independent Study Time 16, Study Time in Lecture 14Lecturer Prof. Thorsten Kern

Language ENCycle WiSe


[78]


Module M1320: Simulation and Design of Mechatronic Systems

CoursesTitle Typ Hrs/wk CPSimulation and Design of Mechatronic Systems (L1822) Lecture 2 2Simulation and Design of Mechatronic Systems (L1823) Recitation Section

(large) 1 2Simulation and Design of Mechatronic Systems (L1824) Practical Course 1 2

ModuleResponsible Prof. Uwe Weltin


RecommendedPrevious

KnowledgeFundatmentals of mechanics, control theory and electrical engineering



KnowledgeStudents are able to describe methods and calculations for design, modeling,simulation and optimization of mechatronic systems.

SkillsStudents are able to apply modern algorithms for modeling of mechatronic systems.They can identify, simulate and design simple systems and implement those inlaboratory conditions.

PersonalCompetence

Social CompetenceStudents are able to work goal-oriented in small mixed groups and present resultsto target groups.

AutonomyStudents are able to recognize and improve knowledge deficits independently.

With instructor assistance, students are able to evaluate their own knowledge leveland define a further course of study.




scale90 min


Curricula

General Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Aircraft Systems Engineering: CompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Aircraft Systems Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: ElectiveCompulsoryMechanical Engineering: Specialisation Aircraft Systems Engineering: CompulsoryMechanical Engineering: Specialisation Mechatronics: CompulsoryMechanical Engineering: Specialisation Theoretical Mechanical Engineering:

[79]


CompulsoryMechanical Engineering: Specialisation Theoretical Mechanical Engineering: ElectiveCompulsoryMechatronics: Core qualification: Compulsory

Course L1822: Simulation and Design of Mechatronic SystemsTyp Lecture

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Uwe Weltin


Content

Mechatronic Design

Modeling

Model Identifikation

Numerical Methods in simulation

Applications and examples in Matlab® and Simulink®

LiteratureSkript zur Veranstaltung

Weitere Literatur in der Veranstaltung

Course L1823: Simulation and Design of Mechatronic SystemsTyp Recitation Section (large)

Hrs/wk 1CP 2




Course L1824: Simulation and Design of Mechatronic SystemsTyp Practical Course

Hrs/wk 1CP 2




[80]


Module M0829: Foundations of Management

CoursesTitle Typ Hrs/wk CPManagement Tutorial (L0882) Recitation Section

(small) 2 3Introduction to Management (L0880) Lecture 3 3

ModuleResponsible Prof. Christoph Ihl


RecommendedPrevious

KnowledgeBasic Knowledge of Mathematics and Business



Knowledge

After taking this module, students know the important basics of many differentareas in Business and Management, from Planning and Organisation to Marketingand Innovation, and also to Investment and Controlling. In particular they are ableto

explain the differences between Economics and Management and the sub-disciplines in Management and to name important definitions from the fieldof Managementexplain the most important aspects of and goals in Management and namethe most important aspects of entreprneurial projects describe and explain basic business functions as production, procurementand sourcing, supply chain management, organization and human ressourcemanagement, information management, innovation management andmarketing explain the relevance of planning and decision making in Business, esp. insituations under multiple objectives and uncertainty, and explain some basicmethods from mathematical Finance state basics from accounting and costing and selected controlling methods.

Skills

Students are able to analyse business units with respect to different criteria(organization, objectives, strategies etc.) and to carry out an Entrepreneurshipproject in a team. In particular, they are able to

analyse Management goals and structure them appropriatelyanalyse organisational and staff structures of companiesapply methods for decision making under multiple objectives, underuncertainty and under riskanalyse production and procurement systems and Business informationsystemsanalyse and apply basic methods of marketingselect and apply basic methods from mathematical finance to predefinedproblemsapply basic methods from accounting, costing and controlling to predefinedproblems

PersonalCompetence

Students are able to

work successfully in a team of studentsto apply their knowledge from the lecture to an entrepreneurship project and

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Social Competence write a coherent report on the projectto communicate appropriately andto cooperate respectfully with their fellow students.

Autonomy

Students are able to

work in a team and to organize the team themselvesto write a report on their project.



Examination Subject theoretical and practical workExaminationduration and

scaleseveral written exams during the semester


Curricula

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryCivil- and Environmental Engineering: Core qualification: CompulsoryCivil- and Environmental Engineering: Specialisation Civil Engineering: ElectiveCompulsoryCivil- and Environmental Engineering: Specialisation Water and Environment:Elective CompulsoryCivil- and Environmental Engineering: Specialisation Traffic and Mobility: ElectiveCompulsoryBioprocess Engineering: Core qualification: CompulsoryComputer Science: Core qualification: CompulsoryData Science: Core qualification: CompulsoryElectrical Engineering: Core qualification: CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation CivilEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBioprocess Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation Energyand Enviromental Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationComputer Science: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Biomechanics: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Energy Systems: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Aircraft Systems Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Materials in Engineering Sciences: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Product Development and Production: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation NavalArchitecture: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ProcessEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryComputational Science and Engineering: Core qualification: CompulsoryLogistics and Mobility: Core qualification: CompulsoryMechanical Engineering: Core qualification: Compulsory

[82]


Mechatronics: Core qualification: CompulsoryOrientierungsstudium: Core qualification: Elective CompulsoryNaval Architecture: Core qualification: CompulsoryTechnomathematics: Core qualification: CompulsoryProcess Engineering: Core qualification: Compulsory

Course L0882: Management TutorialTyp Recitation Section (small)

Hrs/wk 2CP 3

Workload in Hours Independent Study Time 62, Study Time in Lecture 28Lecturer Prof. Christoph Ihl, Katharina Roedelius, Tobias Vlcek


Content

In the management tutorial, the contents of the lecture will be deepened bypractical examples and the application of the discussed tools.

If there is adequate demand, a problem-oriented tutorial will be offered in parallel,which students can choose alternatively. Here, students work in groups on self-selected projects that focus on the elaboration of an innovative business idea fromthe point of view of an established company or a startup. Again, the businessknowledge from the lecture should come to practical use. The group projects areguided by a mentor.

Literature Relevante Literatur aus der korrespondierenden Vorlesung.

[83]


Course L0880: Introduction to ManagementTyp Lecture

Hrs/wk 3CP 3


LecturerProf. Christoph Ihl, Prof. Thorsten Blecker, Prof. Christian Lüthje, Prof. ChristianRingle, Prof. Kathrin Fischer, Prof. Cornelius Herstatt, Prof. Wolfgang Kersten, Prof.Matthias Meyer, Prof. Thomas Wrona


Content

Introduction to Business and Management, Business versus Economics,relevant areas in Business and ManagementImportant definitions from Management, Developing Objectives for Business, and their relation to important BusinessfunctionsBusiness Functions: Functions of the Value Chain, e.g. Production andProcurement, Supply Chain Management, Innovation Management, Marketingand SalesCross-sectional Functions, e.g. Organisation, Human Ressource Management,Supply Chain Management, Information ManagementDefinitions as information, information systems, aspects of data security andstrategic information systemsDefinition and Relevance of innovations, e.g. innovation opporunities, risksetc.Relevance of marketing, B2B vs. B2C-Marketingdifferent techniques from the field of marketing (e.g. scenario technique),pricing strategiesimportant organizational structuresbasics of human ressource managementIntroduction to Business Planning and the steps of a planning processDecision Analysis: Elements of decision problems and methods for solvingdecision problemsSelected Planning Tasks, e.g. Investment and Financial DecisionsIntroduction to Accounting: Accounting, Balance-Sheets, CostingRelevance of Controlling and selected Controlling methodsImportant aspects of Entrepreneurship projects

Literature

Bamberg, G., Coenenberg, A.: Betriebswirtschaftliche Entscheidungslehre, 14. Aufl.,München 2008

Eisenführ, F., Weber, M.: Rationales Entscheiden, 4. Aufl., Berlin et al. 2003

Heinhold, M.: Buchführung in Fallbeispielen, 10. Aufl., Stuttgart 2006.

Kruschwitz, L.: Finanzmathematik. 3. Auflage, München 2001.

Pellens, B., Fülbier, R. U., Gassen, J., Sellhorn, T.: Internationale Rechnungslegung,7. Aufl., Stuttgart 2008.

Schweitzer, M.: Planung und Steuerung, in: Bea/Friedl/Schweitzer: AllgemeineBetriebswirtschaftslehre, Bd. 2: Führung, 9. Aufl., Stuttgart 2005.

Weber, J., Schäffer, U. : Einführung in das Controlling, 12. Auflage, Stuttgart 2008.

Weber, J./Weißenberger, B.: Einführung in das Rechnungswesen, 7. Auflage,Stuttgart 2006.

[84]


Module M0833: Introduction to Control Systems

CoursesTitle Typ Hrs/wk CPIntroduction to Control Systems (L0654) Lecture 2 4Introduction to Control Systems (L0655) Recitation Section

(small) 2 2

ModuleResponsible Prof. Herbert Werner


RecommendedPrevious

Knowledge

Representation of signals and systems in time and frequency domain, Laplacetransform



Knowledge

Students can represent dynamic system behavior in time and frequencydomain, and can in particular explain properties of first and second ordersystemsThey can explain the dynamics of simple control loops and interpret dynamicproperties in terms of frequency response and root locusThey can explain the Nyquist stability criterion and the stability marginsderived from it.They can explain the role of the phase margin in analysis and synthesis ofcontrol loopsThey can explain the way a PID controller affects a control loop in terms of itsfrequency responseThey can explain issues arising when controllers designed in continuous timedomain are implemented digitally

Skills

Students can transform models of linear dynamic systems from time tofrequency domain and vice versaThey can simulate and assess the behavior of systems and control loopsThey can design PID controllers with the help of heuristic (Ziegler-Nichols)tuning rulesThey can analyze and synthesize simple control loops with the help of rootlocus and frequency response techniquesThey can calculate discrete-time approximations of controllers designed incontinuous-time and use it for digital implementationThey can use standard software tools (Matlab Control Toolbox, Simulink) forcarrying out these tasks

PersonalCompetence

Social Competence Students can work in small groups to jointly solve technical problems, andexperimentally validate their controller designs

Autonomy

Students can obtain information from provided sources (lecture notes, softwaredocumentation, experiment guides) and use it when solving given problems.

They can assess their knowledge in weekly on-line tests and thereby control theirlearning progress.

[85]





scale120 min


Curricula

General Engineering Science (German program, 7 semester): Core qualification:CompulsoryBioprocess Engineering: Core qualification: CompulsoryComputer Science: Specialisation Computational Mathematics: Elective CompulsoryData Science: Core qualification: Elective CompulsoryElectrical Engineering: Core qualification: CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation CivilEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBioprocess Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation Energyand Enviromental Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationComputer Science: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Biomechanics: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Energy Systems: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Aircraft Systems Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Materials in Engineering Sciences: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Product Development and Production: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation NavalArchitecture: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ProcessEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryComputational Science and Engineering: Core qualification: CompulsoryLogistics and Mobility: Specialisation Engineering Science: Elective CompulsoryMechanical Engineering: Core qualification: CompulsoryMechatronics: Core qualification: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective CompulsoryTheoretical Mechanical Engineering: Technical Complementary Course Core Studies:Elective CompulsoryProcess Engineering: Core qualification: Compulsory

[86]


Course L0654: Introduction to Control SystemsTyp Lecture

Hrs/wk 2CP 4

Workload in Hours Independent Study Time 92, Study Time in Lecture 28Lecturer Prof. Herbert Werner


Content

Signals and systems

Linear systems, differential equations and transfer functionsFirst and second order systems, poles and zeros, impulse and step responseStability

Feedback systems

Principle of feedback, open-loop versus closed-loop controlReference tracking and disturbance rejectionTypes of feedback, PID controlSystem type and steady-state error, error constantsInternal model principle

Root locus techniques

Root locus plotsRoot locus design of PID controllers

Frequency response techniques

Bode diagramMinimum and non-minimum phase systemsNyquist plot, Nyquist stability criterion, phase and gain marginLoop shaping, lead lag compensationFrequency response interpretation of PID control

Time delay systems

Root locus and frequency response of time delay systemsSmith predictor

Digital control

Sampled-data systems, difference equationsTustin approximation, digital implementation of PID controllers

Software tools

Introduction to Matlab, Simulink, Control toolboxComputer-based exercises throughout the course

Literature

Werner, H., Lecture Notes „Introduction to Control Systems“G.F. Franklin, J.D. Powell and A. Emami-Naeini "Feedback Control of DynamicSystems", Addison Wesley, Reading, MA, 2009K. Ogata "Modern Control Engineering", Fourth Edition, Prentice Hall, UpperSaddle River, NJ, 2010R.C. Dorf and R.H. Bishop, "Modern Control Systems", Addison Wesley,Reading, MA 2010

[87]


Course L0655: Introduction to Control SystemsTyp Recitation Section (small)

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Herbert Werner



[88]


Module M0610: Electrical Machines and Actuators

CoursesTitle Typ Hrs/wk CPElectrical Machines and Actuators (L0293) Lecture 3 4Electrical Machines and Actuators (L0294) Recitation Section

(large) 2 2

ModuleResponsible Prof. Thorsten Kern


RecommendedPrevious

Knowledge

Basics of mathematics, in particular complexe numbers, integrals, differentials

Basics of electrical engineering and mechanical engineering



Knowledge

Students can to draw and explain the basic principles of electric and magneticfields.

They can describe the function of the standard types of electric machines andpresent the corresponding equations and characteristic curves. For typically useddrives they can explain the major parameters of the energy efficiency of the wholesystem from the power grid to the driven engine.

Skills

Students arw able to calculate two-dimensional electric and magnetic fields inparticular ferromagnetic circuits with air gap. For this they apply the usual methodsof the design auf electric machines.

They can calulate the operational performance of electric machines from their givencharacteristic data and selected quantities and characteristic curves. They apply theusual equivalent circuits and graphical methods.

PersonalCompetence

Social Competence none

Autonomy

Students are able independently to calculate electric and magnatic fields forapplications. They are able to analyse independently the operational performance ofelectric machines from the charactersitic data and theycan calculate thereofselected quantities and characteristic curves.



Examination Subject theoretical and practical workExaminationduration and

scaleDesign of four machines and actuators, review of design files

General Engineering Science (German program, 7 semester): Specialisation Energyand Enviromental Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: Elective Compulsory

[89]



Curricula

General Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering: Elective CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Energy Systems: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: ElectiveCompulsoryDigital Mechanical Engineering: Core qualification: CompulsoryElectrical Engineering: Core qualification: Elective CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: Elective CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation Energyand Enviromental Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering: Elective CompulsoryComputational Science and Engineering: Specialisation Engineering Sciences:Elective CompulsoryLogistics and Mobility: Specialisation Engineering Science: Elective CompulsoryMechanical Engineering: Core qualification: Elective CompulsoryMechatronics: Core qualification: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective Compulsory

Course L0293: Electrical Machines and ActuatorsTyp Lecture

Hrs/wk 3CP 4



Content

Electric field: Coulomb´s law, flux (field) line, work, potential, capacitor, energy,force, capacitive actuators

Magnetic field: force, flux line, Ampere´s law, field at bounderies, flux, magneticcircuit, hysteresis, induction, self-induction, mutual inductance, transformer,electromagnetic actuators

Synchronous machines, construction and layout, equivalent single line diagrams,no-load and short-cuircuit characteristics, vector diagrams, motor and generatoroperation, stepper motors

DC-Machines: Construction and layout, torque generation mechanismen, torque vsspeed characteristics, commutation,

Asynchronous Machines. Magnetic field, construction and layout, equivalent singleline diagram, complex stator current diagram (Heylands´diagram), torque vs. speedcharacteristics, rotor layout (squirrel-cage vs. sliprings),

Drives with variable speed, inverter fed operation, special drives

Literature

Hermann Linse, Roland Fischer: "Elektrotechnik für Maschinenbauer", Vieweg-Verlag; Signatur der Bibliothek der TUHH: ETB 313

Ralf Kories, Heinz Schmitt-Walter: "Taschenbuch der Elektrotechnik"; Verlag HarriDeutsch; Signatur der Bibliothek der TUHH: ETB 122

"Grundlagen der Elektrotechnik" - anderer Autoren

Fachbücher "Elektrische Maschinen"

[90]


Course L0294: Electrical Machines and ActuatorsTyp Recitation Section (large)

Hrs/wk 2CP 2




[91]


Module M0777: Semiconductor Circuit Design

CoursesTitle Typ Hrs/wk CPSemiconductor Circuit Design (L0763) Lecture 3 4Semiconductor Circuit Design (L0864) Recitation Section

(small) 1 2

ModuleResponsible Prof. Matthias Kuhl


RecommendedPrevious

Knowledge

Fundamentals of electrical engineering

Basics of physics, especially semiconductor physics



Knowledge

Students are able to explain the functionality of different MOS devices inelectronic circuits.Students are able to explain how analog circuits functions and where they areapplied.Students are able to explain the functionality of fundamental operationalamplifiers and their specifications.Students know the fundamental digital logic circuits and can discuss theiradvantages and disadvantages.Students have knowledge about memory circuits and can explain theirfunctionality and specifications.Students know the appropriate fields for the use of bipolar transistors.

Skills

Students can calculate the specifications of different MOS devices and candefine the parameters of electronic circuits.Students are able to develop different logic circuits and can design differenttypes of logic circuits.Students can use MOS devices, operational amplifiers and bipolar transistorsfor specific applications.

PersonalCompetence

Social Competence

Students are able work efficiently in heterogeneous teams.Students working together in small groups can solve problems and answerprofessional questions.

AutonomyStudents are able to assess their level of knowledge.


Course None[92]


achievementExamination Written examExaminationduration and

scale120 min


Curricula

General Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryData Science: Core qualification: Elective CompulsoryElectrical Engineering: Core qualification: CompulsoryEngineering Science: Specialisation Electrical Engineering: CompulsoryEngineering Science: Specialisation Mechatronics: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Mechatronics: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechatronics: CompulsoryComputational Science and Engineering: Specialisation II. Mathematics &Engineering Science: Elective CompulsoryMechanical Engineering: Specialisation Mechatronics: CompulsoryMechatronics: Core qualification: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective Compulsory

[93]


Course L0763: Semiconductor Circuit DesignTyp Lecture

Hrs/wk 3CP 4



Content

Repetition Semiconductorphysics and DiodesFunctionality and characteristic curve of bipolar transistorsBasic circuits with bipolar transistorsFunctionality and characteristic curve of MOS transistorsBasic circuits with MOS transistors for amplifiersOperational amplifiers and their applicationsTypical applications for analog and digital circuitsRealization of logical functions Basic circuits with MOS transistors for combinational logicMemory circuitsBasic circuits with MOS transistors for sequential logicBasic concepts of analog-to-digital and digital-to-analog-converters

Literature

U. Tietze und Ch. Schenk, E. Gamm, Halbleiterschaltungstechnik, Springer Verlag,14. Auflage, 2012, ISBN 3540428496

R. J. Baker, CMOS - Circuit Design, Layout and Simulation, J. Wiley & Sons Inc., 3.Auflage, 2011, ISBN: 047170055S

H. Göbel, Einführung in die Halbleiter-Schaltungstechnik, Berlin, HeidelbergSpringer-Verlag Berlin Heidelberg, 2011, ISBN: 9783642208874 ISBN:9783642208867

URL: http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10499499

URL: http://dx.doi.org/10.1007/978-3-642-20887-4

URL: http://ebooks.ciando.com/book/index.cfm/bok_id/319955

URL: http://www.ciando.com/img/bo

[94]


Course L0864: Semiconductor Circuit DesignTyp Recitation Section (small)

Hrs/wk 1CP 2

Workload in Hours Independent Study Time 46, Study Time in Lecture 14Lecturer Prof. Matthias Kuhl, Weitere Mitarbeiter


Content

Basic circuits and characteristic curves of bipolar transistors Basic circuits and characteristic curves of MOS transistors for amplifiersRealization and dimensioning of operational amplifiersRealization of logic functionsBasic circuits with MOS transistors for combinational and sequential logicMemory circuitsCircuits for analog-to-digital and digital-to-analog convertersDesign of exemplary circuits

Literature

U. Tietze und Ch. Schenk, E. Gamm, Halbleiterschaltungstechnik, Springer Verlag,14. Auflage, 2012, ISBN 3540428496

R. J. Baker, CMOS - Circuit Design, Layout and Simulation, J. Wiley & Sons Inc., 3.Auflage, 2011, ISBN: 047170055S

H. Göbel, Einführung in die Halbleiter-Schaltungstechnik, Berlin, HeidelbergSpringer-Verlag Berlin Heidelberg, 2011, ISBN: 9783642208874 ISBN:9783642208867

URL: http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10499499

URL: http://dx.doi.org/10.1007/978-3-642-20887-4

URL: http://ebooks.ciando.com/book/index.cfm/bok_id/319955

URL: http://www.ciando.com/img/bo

[95]


Thesis

Module M-001: Bachelor Thesis

CoursesTitle Typ Hrs/wk CP

ModuleResponsible Professoren der TUHH

AdmissionRequirements

According to General Regulations §21 (1):

At least 126 ECTS credit points have to be achieved in study programme. Theexaminations board decides on exceptions.

RecommendedPrevious

KnowledgeEducationalObjectives After taking part successfully, students have reached the following learning results


Knowledge

The students can select, outline and, if need be, critically discuss the mostimportant scientific fundamentals of their course of study (facts, theories, andmethods).On the basis of their fundamental knowledge of their subject the students arecapable in relation to a specific issue of opening up and establishing linkswith extended specialized expertise.The students are able to outline the state of research on a selected issue intheir subject area.

Skills

The students can make targeted use of the basic knowledge of their subjectthat they have acquired in their studies to solve subject-related problems.With the aid of the methods they have learnt during their studies the studentscan analyze problems, make decisions on technical issues, and developsolutions.The students can take up a critical position on the findings of their ownresearch work from a specialized perspective.

PersonalCompetence

Social Competence

Both in writing and orally the students can outline a scientific issue for anexpert audience accurately, understandably and in a structured way.The students can deal with issues in an expert discussion and answer them ina manner that is appropriate to the addressees. In doing so they can upholdtheir own assessments and viewpoints convincingly.

Autonomy

The students are capable of structuring an extensive work process in termsof time and of dealing with an issue within a specified time frame.The students are able to identify, open up, and connect knowledge andmaterial necessary for working on a scientific problem.The students can apply the essential techniques of scientific work to researchof their own.

[96]




Examination ThesisExaminationduration and

scaleAccording to General Regulations


Curricula

General Engineering Science (German program, 7 semester): Thesis: CompulsoryCivil- and Environmental Engineering: Thesis: CompulsoryBioprocess Engineering: Thesis: CompulsoryComputer Science: Thesis: CompulsoryData Science: Thesis: CompulsoryDigital Mechanical Engineering: Thesis: CompulsoryElectrical Engineering: Thesis: CompulsoryEnergy and Environmental Engineering: Thesis: CompulsoryEngineering Science: Thesis: CompulsoryGeneral Engineering Science (English program, 7 semester): Thesis: CompulsoryComputational Science and Engineering: Thesis: CompulsoryLogistics and Mobility: Thesis: CompulsoryMechanical Engineering: Thesis: CompulsoryMechatronics: Thesis: CompulsoryNaval Architecture: Thesis: CompulsoryTechnomathematics: Thesis: CompulsoryTeilstudiengang Lehramt Elektrotechnik-Informationstechnik: Thesis: CompulsoryTeilstudiengang Lehramt Metalltechnik: Thesis: CompulsoryProcess Engineering: Thesis: Compulsory

[97]


mechatronics - studienplaene.tuhh.de€¦ · they are able to express in detail basic approaches in...

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