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Module Manual

Bachelor of Science (B.Sc.)Electrical Engineering

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 M0642: Physics for EngineersModule M0743: Electrical Engineering I: Direct Current Networks and Electromagnetic FieldsModule M0829: Foundations of ManagementModule M0850: Mathematics IModule M0547: Electrical Engineering II: Alternating Current Networks and Basic DevicesModule M0748: Materials in Electrical EngineeringModule M0851: Mathematics IIModule M0553: Objectoriented Programming, Algorithms and Data StructuresModule M0708: Electrical Engineering III: Circuit Theory and TransientsModule M0783: Measurements: Methods and Data ProcessingModule M0730: Computer EngineeringModule M0853: Mathematics IIIModule M0567: Theoretical Electrical Engineering I: Time-Independent FieldsModule M0672: Signals and SystemsModule M0734: Electrical Engineering Project LaboratoryModule M0610: Electrical Machines and ActuatorsModule M0854: Mathematics IVModule M1340: Introduction to Waveguides, Antennas, and Electromagnetic CompatibilityModule M0568: Theoretical Electrical Engineering II: Time-Dependent FieldsModule M0675: Introduction to Communications and Random ProcessesModule M0662: Numerical Mathematics IModule M0834: Computernetworks and Internet SecurityModule M1235: Electrical Power Systems I: Introduction to Electrical Power SystemsModule M0760: Electronic DevicesModule M0569: Engineering Mechanics IModule M0833: Introduction to Control SystemsModule M1242: Quantum Mechanics for EngineersModule M0777: Semiconductor Circuit DesignModule M0570: Engineering Mechanics IIModule M0634: Introduction into Medical Technology and SystemsModule M0803: Embedded Systems

ThesisModule M-001: Bachelor Thesis

Program description

Content

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Module Manual B.Sc. "Electrical Engineering"

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[8]


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[9]


Credit points 6

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

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Module M0642: Physics for Engineers

CoursesTitle Typ Hrs/wk CPPhysics for Engineers (L0367) Lecture 2 3Physics for Engineers (Problem Solving Course) (L0368) Recitation Section

(small) 1 1Physics-Lab for ET (L0948) Practical Course 1 2

ModuleResponsible Prof. Manfred Eich


RecommendedPrevious

KnowledgeCalculus and linear algebra on high school levelPhysics on high school level



Knowledge

Students can explain fundamental topics and laws of physics such as in the areas ofmechanics, oscillations, waves, and optics.

Students can relate physics topics to technical problems.

Skills

Students can describe physical problems mathematically and solve such problemswithin the framework of their acquired mathematical expertise.

Students are able to write meaningful reports on experiments and to discuss theresults in a conclusive way.

PersonalCompetence

Social Competence

Students can jointly solve subject related problems in groups. They can presenttheir results effectively within the framework of the problem solving and lab courses.

Autonomy

Students are capable to extract relevant information from the provided referencesand to relate this information to the content of the lecture. They can reflect theiracquired level of expertise with the help of lecture accompanying measures such asexam typical exam questions. Students are able to connect their knowledge withthat acquired from other lectures.


Courseachievement

CompulsoryBonus Form Description

Yes None Subject theoretical andpractical work

4-seitige handschriftlicheVersuchsvorbereitung,Ausarbeitung unter Anleitungund Testat

Examination Written examExaminationduration and 120 Minutes

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scaleAssignment for

the FollowingCurricula

Digital Mechanical Engineering: Core qualification: CompulsoryElectrical Engineering: Core qualification: Compulsory

Course L0367: Physics for EngineersTyp Lecture

Hrs/wk 2CP 3

Workload in Hours Independent Study Time 62, Study Time in Lecture 28Lecturer Prof. Manfred Eich


Content

IntroductionKinematics and dynamicsWork, Energy, momentumRotatory Motion, moments of inertiaGravitationSpecial Theory of RelativityOscillationsWavesGeometrical opticsWave opticsMatter wavesFundamentals of quantum mechanics

Literature

Giancoli, Physics for Scientists & Engineers Vol. 1, 2, PearsonHalliday/Resnik/Walker, Fundamentals of physics, Wiley K. Cummings, P. Laws, E. Redish, and P. Cooney (“CLRC”), UnderstandingPhysics, WileyGerthsen/Vogel, Physik, Springer Verlag Hering/Martin/Stohrer, Physik für Ingenieure, VDI-Verlag

Course L0368: Physics for Engineers (Problem Solving Course)Typ Recitation Section (small)

Hrs/wk 1CP 1



Content see lecture Physics for Engineers

Literature see lecture Physics for Engineers

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Course L0948: Physics-Lab for ETTyp Practical Course

Hrs/wk 1CP 2

Workload in Hours Independent Study Time 46, Study Time in Lecture 14Lecturer Prof. Wolfgang Hansen

Language DE/ENCycle SoSe

Content

In the physics lab a number of key experiments on physical phenomena inmechanics, oscillatory and wave motion, thermodynamics, electricity, and opticswill be conducted by the students under assistance of a lecturing tutor. Theexperiments are part of the physics education program presented in the course"Physics for TUHH-ET Engineers".

Beyond teaching of fundamental physical background the objectives are basic skillsin preparation and performing physical measurements, usage of physicalequipment, analysis of the results and preparation of a report on the experimentaldata.

Literature

Zu den Versuchen gibt es individuelle Versuchsanleitungen, die vor derVersuchsdurchführung ausgegeben werden.

Zum Teil müssen die zur Versuchsdurchführung notwendigen physikalischenHintergründe selbstständig erarbeitet werden, wozu die zur Vorlesung "Physik fürTUHH-ET Ingenieure" angegebene Literatur gut geeignet ist.

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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

[14]


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

[15]


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


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

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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

Language DECycle WiSe/SoSe

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.

[18]


Course L0880: Introduction to ManagementTyp Lecture

Hrs/wk 3CP 3

Workload in Hours Independent Study Time 48, Study Time in Lecture 42

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

Language DECycle WiSe/SoSe

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.

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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

[20]


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

[21]


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

[22]


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



[23]


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



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 M0748: Materials in Electrical Engineering

CoursesTitle Typ Hrs/wk CPElectrotechnical Experiments (L0714) Lecture 1 1Materials in Electrical Engineering (L0685) Lecture 2 3Materials in Electrical Engineering (Problem Solving Course) (L0687) Recitation Section

(small) 2 2

ModuleResponsible Prof. Manfred Eich


RecommendedPrevious

KnowledgeHighschool level physics and mathematics



Knowledge

Students can explain the composition and the structural properties of materials usedin electrical engineering. Students can explicate the relevance of mechanical,electrical, thermal, dielectric, magnetic and chemical properties of materials in viewof their applications in electrical engineering.

Skills

Students can identify appropriate descriptive models and apply themmathematically. They can derive approximative solutions and judge factorsinfluential on the performance of materials in electrical engineering applications.

PersonalCompetence

Social Competence

Students can jointly solve subject related problems in groups. They can presenttheir results effectively within the framework of the problem solving course.

Autonomy

Students are capable to extract relevant information from the provided referencesand to relate this information to the content of the lecture. They can reflect theiracquired level of expertise with the help of lecture accompanying measures such asexam typical exam questions. Students are able to connect their knowledge withthat acquired from other lectures.




scale60 minutes


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

[28]


Curricula Computational Science and Engineering: Specialisation Engineering Sciences:Elective CompulsoryOrientierungsstudium: Core qualification: Elective Compulsory

Course L0714: Electrotechnical ExperimentsTyp Lecture

Hrs/wk 1CP 1

Workload in Hours Independent Study Time 16, Study Time in Lecture 14Lecturer Dr. Wieland Hingst


Content

Agenda:

- Natural sources of electricity

- Oscilloscope

- Characterizing signals

- 2 terminal circuit elements

- 2-ports

- Power

- Matching

- Inductive coupling

- Resonance

- Radio frequencies

- Transistor circuits

- Electrical measurement

- Materials for the EE

- Electrical fun

LiteratureTietze, Schenk: "Halbleiterschaltungstechnik", Springer

[29]


Course L0685: Materials in Electrical EngineeringTyp Lecture

Hrs/wk 2CP 3



Content

The Hamiltonian approach to classical mechanics. Analysis of a simple oscillator.Analysis of vibrations in a one-dimensional lattice. Phononic bandgapIntroduction to quantum mechanicsWave function, Schrödinger’s equation, observables and measurements.Quantum mechanical harmonic oscillator and spectral decomposition.Symmetries, conserved quantities, and the labeling of states.Angular momentumThe hydrogen atomWaves in periodic potentialsReciprocal lattice and reciprocal lattice vectorsBand gapBand diagramsThe free electron gas and the density of statesFermi-Dirac distributionDensity of charge carriers in semiconductorsConductivity in semiconductors. Engineering conductivity through doping.The P-N junction (diode)Light emitting diodesElectromagnetic waves interacting with materialsReflection and refractionPhotonic band gapsOrigins of magnetizationHysteresis in ferromagnetic materialsMagnetic domains

Literature

1.Anikeeva, Beach, Holten-Andersen, Fink, Electronic, Optical and MagneticProperties of Materials,Massachusetts Institute of Technology (MIT), 2013

2.Hagelstein et al., Introductory Applied Quantum and Statistical Mechanics, Wiley2004

3.Griffiths, Introduction to Quantum Mechanics, Prentice Hall, 1994

4.Shankar, Principles of Quantum Mechanics, 2nd ed., Plenum Press, 1994

5.Fick, Einführung in die Grundlagen der Quantentheorie, Akad. Verlagsges., 1979

6.Kittel, Introduction to Solid State Physics, 8th ed., Wiley, 2004

7.Ashcroft, Mermin, Solid State Physics, Harcourt, 1976

8.Pierret, Semiconductor Fundamentals Vol. 1, Addison Wesley, 1988

9.Sze, Physics of Semiconductor Devices, Wiley, 1981

10.Saleh, Teich, Fundamentals of Photonics, 2nd ed., 2007

11.Joannopoulos, Johnson, Winn Meade, Photonic Crystals, 2nd ed., PrincetonUniversty Press, 2008

12.Handley, Modern Magnetic Materials, Wiley, 2000

13.Wikipedia, Wikimedia

[30]


Course L0687: Materials in Electrical Engineering (Problem Solving Course)Typ Recitation Section (small)

Hrs/wk 2CP 2



Content

Atom structure and periodic systemAtom binding and crystal structureStructure and properties of alloys: diffusion, phase diagrams, phase separation and grain boundariesMaterial properties:Mechanical, thermal, electrical, dielectric propertiesMetalsSemiconductorsCeramics and glassesPolymersMagnetic materialsElectrochemistryOxidation numbers, electrolysis, batteries, fuel cells

Literature H. Schaumburg: Einführung in die Werkstoffe der Elektrotechnik, Teubner (1993)

[31]


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


[32]






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

[33]


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

[34]


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



[35]


Module M0553: Objectoriented Programming, Algorithms and DataStructures

CoursesTitle Typ Hrs/wk CPObjectoriented Programming, Algorithms and Data Structures(L0131) Lecture 4 4Objectoriented Programming, Algorithms and Data Structures(L0132)


ModuleResponsible Prof. Rolf-Rainer Grigat


RecommendedPrevious

Knowledge

This lecture requires proficiency in the German language. For further requirementsplease refer to the German description.



Knowledge

Students can explain the essentials of software design and the design of a classarchitecture with reference to existing class libraries and design patterns.

Students can describe fundamental data structures of discrete mathematics andassess the complexity of important algorithms for sorting and searching.

Skills


Design software using given design patterns and applying class hierarchiesand polymorphismCarry out software development and tests using version managementsystems and Google TestSort and search for data efficientlyAssess the complexity of algorithms.

PersonalCompetence

Social CompetenceStudents can work in teams and communicate in forums.

Autonomy

Students are able to solve programming tasks such as LZW data compression usingSVN Repository and Google Test independently and over a period of two to threeweeks.



Examination Written examExaminationduration and 60 Minutes, Content of Lecture, exercises and material in StudIP

[36]


scale


Curricula

General Engineering Science (German program, 7 semester): SpecialisationComputer Science: Elective CompulsoryElectrical Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationComputer Science: CompulsoryLogistics and Mobility: Specialisation Engineering Science: Elective CompulsoryOrientierungsstudium: Core qualification: Elective Compulsory

Course L0131: Objectoriented Programming, Algorithms and Data StructuresTyp Lecture

Hrs/wk 4CP 4

Workload in Hours Independent Study Time 64, Study Time in Lecture 56Lecturer Prof. Rolf-Rainer Grigat


Content

Object oriented analysis and design:

Objectoriented programming in C++ and Javageneric programmingUMLdesign patterns

Data structures and algorithmes:

complexity of algorithmssearching, sorting, hash tables,stack, queues, lists,trees (AVL, heap, 2-3-4, Trie, Huffman, Patricia, B),sets, priority queues,directed and undirected graphs (spanning trees, shortest and longest path)

Literature Skriptum

Course L0132: Objectoriented Programming, Algorithms and Data StructuresTyp Recitation Section (small)

Hrs/wk 1CP 2

Workload in Hours Independent Study Time 46, Study Time in Lecture 14Lecturer Prof. Rolf-Rainer Grigat



[37]


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

[38]



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)

[39]


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

[40]


Module M0783: Measurements: Methods and Data Processing

CoursesTitle Typ Hrs/wk CPEE Experimental Lab (L0781) Practical Course 2 2Measurements: Methods and Data Processing (L0779) Lecture 2 3Measurements: Methods and Data Processing (L0780) Recitation Section

(small) 1 1

ModuleResponsible Prof. Alexander Schlaefer


RecommendedPrevious

Knowledge

principles of mathematicsprinciples of electrical engineering



Knowledge

The students are able to explain the purpose of metrology and the acquisition andprocessing of measurements. They can detail aspects of probability theory anderrors, and explain the processing of stochastic signals. Students know methods todigitalize and describe measured signals.

Skills

The students are able to evaluate problems of metrology and to apply methods fordescribing and processing of measurements.

PersonalCompetence

Social Competence The students solve problems in small groups.

AutonomyThe students can reflect their knowledge and discuss and evaluate their results.


Courseachievement

CompulsoryBonus Form DescriptionYes 10 % Excercises


scale90 min


Curricula

General Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: Elective CompulsoryElectrical Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: Elective CompulsoryComputational Science and Engineering: Specialisation Computer Science: ElectiveCompulsoryComputational Science and Engineering: Specialisation Engineering Sciences:Elective Compulsory

[41]


Technomathematics: Specialisation III. Engineering Science: Elective Compulsory

Course L0781: EE Experimental LabTyp Practical Course

Hrs/wk 2CP 2

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

LecturerProf. Alexander Schlaefer, Prof. Christian Schuster, Prof. Thanh Trung Do, Prof. Rolf-Rainer Grigat, Prof. Arne Jacob, Prof. Herbert Werner, Dozenten des SD E, Prof.Heiko Falk, Prof. Thorsten Kern


Content lab experiments: digital circuits, semiconductors, micro controllers, analog circuits,AC power, electrical machines

Literature Wird in der Lehrveranstaltung festgelegt

Course L0779: Measurements: Methods and Data ProcessingTyp Lecture

Hrs/wk 2CP 3

Workload in Hours Independent Study Time 62, Study Time in Lecture 28Lecturer Prof. Alexander Schlaefer


Contentintroduction, systems and errors in metrology, probability theory, measuringstochastic signals, describing measurements, acquisition of analog signals, appliedmetrology

Literature

Puente León, Kiencke: Messtechnik, Springer 2012Lerch: Elektrische Messtechnik, Springer 2012

Weitere Literatur wird in der Veranstaltung bekanntgegeben.

Course L0780: Measurements: Methods and Data ProcessingTyp Recitation Section (small)

Hrs/wk 1CP 1




[42]


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.


[43]


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

[44]


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




[45]


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


[46]






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

[47]


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


[48]


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




[49]


Module M0567: Theoretical Electrical Engineering I: Time-IndependentFields

CoursesTitle Typ Hrs/wk CPTheoretical Electrical Engineering I: Time-Independent Fields(L0180) Lecture 3 5Theoretical Electrical Engineering I: Time-Independent Fields(L0181)


ModuleResponsible Prof. Christian Schuster


RecommendedPrevious

Knowledge

Basic principles of electrical engineering and advanced mathematics



Knowledge

Students can explain the fundamental formulas, relations, and methods of thetheory of time-independent electromagnetic fields. They can explicate the principalbehavior of electrostatic, magnetostatic, and current density fields with regard torespective sources. They can describe the properties of complex electromagneticfields by means of superposition of solutions for simple fields. The students areaware of applications for the theory of time-independent electromagnetic fields andare able to explicate these.

Skills

Students can apply Maxwell’s Equations in integral notation in order to solve highlysymmetrical, time-independent, electromagnetic field problems. Furthermore, theyare capable of applying a variety of methods that require solving Maxwell’sEquations for more general problems. The students can assess the principal effectsof given time-independent sources of fields and analyze these quantitatively. Theycan deduce meaningful quantities for the characterization of electrostatic,magnetostatic, and electrical flow fields (capacitances, inductances, resistances,etc.) from given fields and dimension them for practical applications.

PersonalCompetence

Social Competence

Students are able to work together on subject related tasks in small groups. Theyare able to present their results effectively (e.g. during exercise sessions).

Autonomy

Students are capable to gather necessary information from provided references andrelate this information to the lecture. They are able to continually reflect theirknowledge by means of activities that accompany the lecture, such as short oralquizzes during the lectures 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).

[50]





scale90-150 minutes


Curricula

General Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: CompulsoryElectrical Engineering: Core qualification: CompulsoryComputational Science and Engineering: Specialisation II. Mathematics &Engineering Science: Elective CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective Compulsory

Course L0180: Theoretical Electrical Engineering I: Time-Independent FieldsTyp Lecture

Hrs/wk 3CP 5

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


Content

- Maxwell’s Equations in integral and differential notation

- Boundary conditions

- Laws of conservation for energy and charge

- Classification of electromagnetic field properties

- Integral characteristics of time-independent fields (R, L, C)

- Generic approaches to solving Poisson’s Equation

- Electrostatic fields and specific methods of solving

- Magnetostatic fields and specific methods of solving

- Fields of electrical current density and specific methods of solving

- Action of force within time-independent fields

- Numerical methods for solving time-independent problems

The practical application of numerical methods will be trained within specificallyprepared lectures in an interactive manner using small MATLAB programs.

Literature

- G. Lehner, "Elektromagnetische Feldtheorie: Für Ingenieure und Physiker",Springer (2010)

- H. Henke, "Elektromagnetische Felder: Theorie und Anwendung", Springer (2011)

- W. Nolting, "Grundkurs Theoretische Physik 3: Elektrodynamik", Springer (2011)

- D. Griffiths, "Introduction to Electrodynamics", Pearson (2012)

- J. Edminister, " Schaum's Outline of Electromagnetics", Mcgraw-Hill (2013)

- Richard Feynman, "Feynman Lectures on Physics: Volume 2", Basic Books (2011)

[51]


Course L0181: Theoretical Electrical Engineering I: Time-Independent FieldsTyp Recitation Section (small)

Hrs/wk 2CP 1




[52]


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

[53]



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


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,

[54]


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.

[55]


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




[56]


Module M0734: Electrical Engineering Project Laboratory

CoursesTitle Typ Hrs/wk CPElectrical Engineering Project Laboratory (L0640) Project-/problem-

based Learning 8 6



RecommendedPrevious

Knowledge

Electrical Engineering I, Electrical Engineering II



Knowledge

Students are able to give a summary of the technical details of projects in the areaof electrical engineering and illustrate respective relationships. They are capable ofdescribing and communicating relevant problems and questions using appropriatetechnical language. They can explain the typical process of solving practicalproblems and present related results.

Skills

The students can transfer their fundamental knowledge on electrical engineering tothe process of solving practical problems. They identify and overcome typicalproblems during the realization of projects in the context of electrical engineering.Students are able to develop, compare, and choose conceptual solutions for non-standardized problems.

PersonalCompetence

Social Competence

Students are able to cooperate in small, mixed-subject groups in order toindependently derive solutions to given problems in the context of electricalengineering. They are able to effectively present and explain their results alone orin groups in front of a qualified audience. Students have the ability to developalternative approaches to an electrical engineering problem independently or ingroups and discuss advantages as well as drawbacks.

Autonomy

Students are capable of independently solving electrical engineering problems usingprovided literature. They are able to fill gaps in as well as extent their knowledgeusing the literature and other sources provided by the supervisor. Furthermore, theycan meaningfully extend given problems and pragmatically solve them by means ofcorresponding solutions and concepts.


CourseNone

[57]


achievementExamination Subject theoretical and practical workExaminationduration and

scalebased on task + presentation


Curricula

General Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: CompulsoryElectrical Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective Compulsory

Course L0640: Electrical Engineering Project LaboratoryTyp Project-/problem-based Learning

Hrs/wk 8CP 6

Workload in Hours Independent Study Time 68, Study Time in Lecture 112Lecturer Prof. Christian Becker, Dozenten des SD E


Content

Topics and projects cover the entire field of applications of electrical engineering.Typically, the students will prototype functional units and self-contained systems,such as radar devices, networks of sensors, amateur radio transceiver, powerelectronics based inverters, discrete computers, or atomic force microscopes.Different projects are devised on a yearly basis.

Literature

Alle zur Durchführung der Projekte sinnvollen Quellen (Skripte, Fachbücher,Manuals, Datenblätter, Internetseiten). / All sources that are useful for completion ofthe projects (lecture notes, textbooks, manuals, data sheets, internet pages).

[58]


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

[59]



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

Workload in Hours Independent Study Time 78, Study Time in Lecture 42Lecturer Prof. Thorsten Kern, Dennis Kähler


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"

[60]


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

Hrs/wk 2CP 2

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



[61]


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


[62]






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

[63]


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




[64]


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




[65]


M o d u l e M1340: Introduction to Waveguides, Antennas, andElectromagnetic Compatibility

CoursesTitle Typ Hrs/wk CPIntroduction to Waveguides, Antennas, and ElectromagneticCompatibility (L1669) Lecture 3 4Introduction to Waveguides, Antennas, and ElectromagneticCompatibility (L1877)




RecommendedPrevious

KnowledgeBasic principles of physics and electrical engineering



Knowledge

Students can explain the basic principles, relationships, and methods for the designof waveguides and antennas as well as of Electromagnetic Compatibility. Specifictopics are:

- Fundamental properties and phenomena of electrical circuits- Steady-state sinusoidal analysis of electrical circuits- Fundamental properties and phenomena of electromagnetic fields and waves- Steady-state sinusoidal description of electromagnetic fields and waves- Useful microwave network parameters- Transmission lines and basic results from transmission line theory- Plane wave propagation, superposition, reflection and refraction- General theory of waveguides- Most important types of waveguides and their properties- Radiation and basic antenna parameters- Most important types of antennas and their properties- Numerical techniques and CAD tools for waveguide and antenna design- Fundamentals of Electromagnetic Compatibility- Coupling mechanisms and countermeasures- Shielding, grounding, filtering- Standards and regulations- EMC measurement techniques

Skills

Students know how to apply various methods and models for characterization andchoice of waveguides and antennas. They are able to assess and qualify their basicelectromagnetic properties. They can apply results and strategies from the field ofElectromagnetic Compatibilty to the development of electrical components andsystems.

PersonalCompetence

Social CompetenceStudents are able to work together on subject related tasks in small groups. Theyare able to present their results effectively in English (e.g. during small groupexercises).

Autonomy

Students are capable to gather information from subject related, professionalpublications and relate that information to the context of the lecture. They are ableto make a connection between their knowledge obtained in this lecture with thecontent of other lectures (e.g. theory of electromagnetic fields, fundamentals ofelectrical engineering / physics). They can discuss technical problems and physicaleffects in English.

[66]




Examination Oral examExaminationduration and

scale45 min


Curricula

General Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: Elective CompulsoryElectrical Engineering: Core qualification: Elective CompulsoryAircraft Systems Engineering: Specialisation Air Transportation Systems: ElectiveCompulsoryAircraft Systems Engineering: Specialisation Cabin Systems: Elective CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: Elective CompulsoryMechatronics: Specialisation System Design: Elective Compulsory

[67]


Course L1669: Introduction to Waveguides, Antennas, and Electromagnetic CompatibilityTyp Lecture

Hrs/wk 3CP 4



Content

This course is intended as an introduction to the topics of wave propagation,guiding, sending, and receiving as well as Electromagnetic Compatibility (EMC). Itwill be useful for engineers that face the technical challenge of transmitting highfrequency / high bandwidth data in e.g. medical, automotive, or avionicapplications. Both circuit and field concepts of wave propagationand Electromagnetic Compatibility will be introduced and discussed.

Topics:

- Fundamental properties and phenomena of electrical circuits- Steady-state sinusoidal analysis of electrical circuits- Fundamental properties and phenomena of electromagnetic fields and waves- Steady-state sinusoidal description of electromagnetic fields and waves- Useful microwave network parameters- Transmission lines and basic results from transmission line theory- Plane wave propagation, superposition, reflection and refraction- General theory of waveguides- Most important types of waveguides and their properties- Radiation and basic antenna parameters- Most important types of antennas and their properties- Numerical techniques and CAD tools for waveguide and antenna design- Fundamentals of Electromagnetic Compatibility- Coupling mechanisms and countermeasures- Shielding, grounding, filtering- Standards and regulations- EMC measurement techniques

Literature

- Zinke, Brunswig, "Hochfrequenztechnik 1", Springer (1999)

- J. Detlefsen, U. Siart, "Grundlagen der Hochfrequenztechnik", Oldenbourg (2012)

- D. M. Pozar, "Microwave Engineering", Wiley (2011)

- Y. Huang, K. Boyle, "Antenna: From Theory to Practice", Wiley (2008)

- H. Ott, "Electromagnetic Compatibility Engineering", Wiley (2009)

- A. Schwab, W. Kürner, "Elektromagnetische Verträglichkeit", Springer (2007)

[68]


Course L1877: Introduction to Waveguides, Antennas, and Electromagnetic CompatibilityTyp Recitation Section (small)

Hrs/wk 2CP 2




[69]


Module M0568: Theoretical Electrical Engineering II: Time-DependentFields

CoursesTitle Typ Hrs/wk CPTheoretical Electrical Engineering II: Time-Dependent Fields (L0182) Lecture 3 5Theoretical Electrical Engineering II: Time-Dependent Fields (L0183) Recitation Section

(small) 2 1



RecommendedPrevious

Knowledge

Electrical Engineering I, Electrical Engineering II, Theoretical Electrical Engineering I

Mathematics I, Mathematics II, Mathematics III, Mathematics IV



Knowledge

Students are able to explain fundamental formulas, relations, and methods relatedto the theory of time-dependent electromagnetic fields. They can assess theprincipal behavior and characteristics of quasistationary and fully dynamic fieldswith regard to respective sources. They can describe the properties of complexelectromagnetic fields by means of superposition of solutions for simple fields. Thestudents are aware of applications for the theory of time-dependentelectromagnetic fields and are able to explicate these.

Skills

Students are able to apply a variety of procedures in order to solve the diffusion andthe wave equation for general time-dependent field problems. They can assess theprincipal effects of given time-dependent sources of fields and analyze thesequantitatively. They can deduce meaningful quantities for the characterization offully dynamic fields (wave impedance, skin depth, Poynting-vector, radiationresistance, etc.) from given fields and interpret them with regard to practicalapplications.

PersonalCompetence

Social Competence

Students are able to work together on subject related tasks in small groups. Theyare able to present their results effectively (e.g. during exercise sessions).

Autonomy

Students are capable to gather necessary information from provided references andrelate this information to the lecture. They are able to continually reflect theirknowledge by means of activities that accompany the lecture, such as short oralquizzes during the lectures 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 acquired knowledge andongoing research at the Hamburg University of Technology (TUHH), e.g. in the areaof high frequency engineering and optics.

Workload in Hours Independent Study Time 110, Study Time in Lecture 70[70]


Credit points 6Course

achievement None


scale90-150 minutes


Curricula

General Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: CompulsoryElectrical Engineering: Core qualification: CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective Compulsory

Course L0182: Theoretical Electrical Engineering II: Time-Dependent FieldsTyp Lecture

Hrs/wk 3CP 5



Content

- Theory and principal characteristics of quasistationary electromagnetic fields

- Electromagnetic induction and law of induction

- Skin effect and eddy currents

- Shielding of time variable magnetic fields

- Theory and principal characteristics of fully dynamic electromagnetic fields

- Wave equations and properties of planar waves

- Polarization and superposition of planar waves

- Reflection and refraction of planar waves at boundary surfaces

- Waveguide theory

- Rectangular waveguide, planar optical waveguide

- Elektrical and magnetical dipol radiation

- Simple arrays of antennas

The practical application of numerical methods will be trained within specificallyprepared lectures in an interactive manner using small MATLAB programs.

Literature

- G. Lehner, "Elektromagnetische Feldtheorie: Für Ingenieure und Physiker",Springer (2010)

- H. Henke, "Elektromagnetische Felder: Theorie und Anwendung", Springer (2011)

- W. Nolting, "Grundkurs Theoretische Physik 3: Elektrodynamik", Springer (2011)

- D. Griffiths, "Introduction to Electrodynamics", Pearson (2012)

- J. Edminister, "Schaum's Outline of Electromagnetics", Mcgraw-Hill (2013)

- Richard Feynman, "Feynman Lectures on Physics: Volume 2", Basic Books (2011)

[71]


Course L0183: Theoretical Electrical Engineering II: Time-Dependent FieldsTyp Recitation Section (small)

Hrs/wk 2CP 1




[72]


M o d u l e M0675: Introduction to Communications and RandomProcesses

CoursesTitle Typ Hrs/wk CPIntroduction to Communications and Random Processes (L0442) Lecture 3 4Introduction to Communications and Random Processes (L0443) Recitation Section

(large) 1 1

Introduction to Communications and Random Processes (L2354) Recitation Section(small) 1 1

ModuleResponsible Prof. Gerhard Bauch


RecommendedPrevious

KnowledgeMathematics 1-3Signals and Systems



Knowledge

The students know and understand the fundamental building blocks of acommunications system. They can describe and analyse the individual buildingblocks using knowledge of signal and system theory as well as the theory ofstochastic processes. The are aware of the essential resources and evaluationcriteria of information transmission and are able to design and evaluate a basiccommunications system.

Skills

The students are able to design and evaluate a basic communications system. Inparticular, they can estimate the required resources in terms of bandwidth andpower. They are able to assess essential evaluation parameters of a basiccommunications system such as bandwidth efficiency or bit error rate and to decidefor a suitable transmission method.

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


Curricula

General Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: CompulsoryComputer Science: Specialisation Computer and Software Engineering: ElectiveCompulsoryComputer Science: Specialisation Computational Mathematics: Elective CompulsoryData Science: Core qualification: Elective CompulsoryElectrical Engineering: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: Compulsory

[73]


Computational Science and Engineering: Core qualification: CompulsoryComputational Science and Engineering: Specialisation Engineering Sciences:Elective CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective Compulsory

Course L0442: Introduction to Communications and Random ProcessesTyp Lecture

Hrs/wk 3CP 4



Content

Fundamentals of random processes

Introduction to communications engineering

Quadrature amplitude modulation

Description of radio frequency transmission in the equivalent complexbaseband

Transmission channels, channel models

Analog digital conversion: Sampling, quantization, pulsecode modulation(PCM)

Fundamentals of information theory, source coding, channel coding

Digital baseband transmission: Pulse shaping, eye diagramm, 1. and 2.Nyquist condition, matched filter, detection, error probability

Fundamentals of digital modulation

Literature

K. Kammeyer: Nachrichtenübertragung, Teubner

P.A. Höher: Grundlagen der digitalen Informationsübertragung, Teubner.

M. Bossert: Einführung in die Nachrichtentechnik, Oldenbourg.

J.G. Proakis, M. Salehi: Grundlagen der Kommunikationstechnik. Pearson Studium.

J.G. Proakis, M. Salehi: Digital Communications. McGraw-Hill.

S. Haykin: Communication Systems. Wiley

J.G. Proakis, M. Salehi: Communication Systems Engineering. Prentice-Hall.

J.G. Proakis, M. Salehi, G. Bauch, Contemporary Communication Systems. CengageLearning.

[74]


Course L0443: Introduction to Communications and Random ProcessesTyp Recitation Section (large)

Hrs/wk 1CP 1




Course L2354: Introduction to Communications and Random ProcessesTyp Recitation Section (small)

Hrs/wk 1CP 1




[75]


Module M0662: Numerical Mathematics I

CoursesTitle Typ Hrs/wk CPNumerical Mathematics I (L0417) Lecture 2 3Numerical Mathematics I (L0418) Recitation Section

(small) 2 3

ModuleResponsible Prof. Sabine Le Borne


RecommendedPrevious

Knowledge

Mathematik I + II for Engineering Students (german or english) or Analysis &Linear Algebra I + II for Technomathematiciansbasic MATLAB knowledge



Knowledge


name numerical methods for interpolation, integration, least squaresproblems, eigenvalue problems, nonlinear root finding problems and toexplain their core ideas,repeat convergence statements for the numerical methods,explain aspects for the practical execution of numerical methods with respectto computational and storage complexitx.

Skills


implement, apply and compare numerical methods using MATLAB,justify the convergence behaviour of numerical methods with respect to theproblem and solution algorithm,select and execute a suitable solution approach for a given problem.

PersonalCompetence

Social Competence


work together in heterogeneously composed teams (i.e., teams fromdifferent study programs and background knowledge), explain theoreticalfoundations and support each other with practical aspects regarding theimplementation of algorithms.

Autonomy

Students are capable

to assess whether the supporting theoretical and practical excercises arebetter solved individually or in a team,to assess their individual progess and, if necessary, to ask questions andseek help.



Examination Written examExamination

[76]


duration andscale

90 minutes


Curricula

General Engineering Science (German program, 7 semester): SpecialisationComputer Science: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Materials in Engineering Sciences: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Biomechanics: CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: CompulsoryBioprocess Engineering: Specialisation A - General Bioprocess Engineering: ElectiveCompulsoryComputer Science: Specialisation Computational Mathematics: Elective CompulsoryComputer Science: Specialisation II. Mathematics and Engineering Science: ElectiveCompulsoryData Science: Core qualification: CompulsoryElectrical Engineering: Core qualification: Elective CompulsoryEngineering Science: Core qualification: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: ElectiveCompulsoryGeneral Engineering Science (English program, 7 semester): Core qualification: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 Materials in Engineering Sciences: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechanical Engineering, Focus Theoretical Mechanical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryComputational Science and Engineering: Core qualification: CompulsoryMechanical Engineering: Specialisation Theoretical Mechanical Engineering: ElectiveCompulsoryMechanical Engineering: Specialisation Theoretical Mechanical Engineering:CompulsoryMechanical Engineering: Specialisation Energy Systems: Elective CompulsoryTheoretical Mechanical Engineering: Technical Complementary Course Core Studies:Elective CompulsoryProcess Engineering: Specialisation Process Engineering: Elective Compulsory

[77]


Course L0417: Numerical Mathematics ITyp Lecture

Hrs/wk 2CP 3

Workload in Hours Independent Study Time 62, Study Time in Lecture 28Lecturer Prof. Sabine Le Borne

Language ENCycle WiSe

Content

1. Error analysis: Number representation, error types, conditioning and stability2. Interpolation: polynomial and spline interpolation3. Numerical integration and differentiation: order, Newton-Cotes formula, error

estimates, Gaussian quadrature, adaptive quadrature, difference formulas4. Linear systems: LU and Cholesky factorization, matrix norms, conditioning5. Linear least squares problems: normal equations, Gram.Schmidt and

Householder orthogonalization, singular value decomposition, regularization6. Eigenvalue problems: power iteration, inverse iteration, QR algorithm7. Nonlinear systems of equations: Fixed point iteration, root-finding algorithms

for real-valued functions, Newton and Quasi-Newton methods for systems

Literature

Stoer/Bulirsch: Numerische Mathematik 1, SpringerDahmen, Reusken: Numerik für Ingenieure und Naturwissenschaftler,Springer

Course L0418: Numerical Mathematics ITyp Recitation Section (small)

Hrs/wk 2CP 3

Workload in Hours Independent Study Time 62, Study Time in Lecture 28Lecturer Prof. Sabine Le Borne, Dr. Jens-Peter Zemke



[78]


Module M0834: Computernetworks and Internet Security

CoursesTitle Typ Hrs/wk CPComputer Networks and Internet Security (L1098) Lecture 3 5Computer Networks and Internet Security (L1099) Recitation Section

(small) 1 1

ModuleResponsible Prof. Andreas Timm-Giel


RecommendedPrevious

KnowledgeBasics of Computer Science



KnowledgeStudents are able to explain important and common Internet protocols in detail andclassify them, in order to be able to analyse and develop networked systems infurther studies and job.

SkillsStudents are able to analyse common Internet protocols and evaluate the use ofthem in different domains.

PersonalCompetence

Social Competence

AutonomyStudents can select relevant parts out of high amount of professional knowledgeand can independently learn and understand it.




scale120 min


Curricula

General Engineering Science (German program, 7 semester): SpecialisationComputer Science: Elective CompulsoryComputer Science: Core qualification: CompulsoryData Science: Core qualification: Elective CompulsoryElectrical Engineering: Core qualification: Elective CompulsoryEngineering Science: Specialisation Mechatronics: Elective CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationComputer Science: Elective CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechatronics: Elective CompulsoryComputational Science and Engineering: Core qualification: CompulsoryTechnomathematics: Specialisation II. Informatics: Elective Compulsory

[79]


Course L1098: Computer Networks and Internet SecurityTyp Lecture

Hrs/wk 3CP 5

Workload in Hours Independent Study Time 108, Study Time in Lecture 42Lecturer Prof. Andreas Timm-Giel, Prof. Dieter Gollmann


Content

In this class an introduction to computer networks with focus on the Internet and itssecurity is given. Basic functionality of complex protocols are introduced. Studentslearn to understand these and identify common principles. In the exercises thesebasic principles and an introduction to performance modelling are addressed usingcomputing tasks and (virtual) labs.

In the second part of the lecture an introduction to Internet security is given.

This class comprises:

Application layer protocols (HTTP, FTP, DNS)Transport layer protocols (TCP, UDP)Network Layer (Internet Protocol, routing in the Internet)Data link layer with media access at the example of EthernetMultimedia applications in the InternetNetwork managementInternet security: IPSecInternet security: Firewalls

Literature

Kurose, Ross, Computer Networking - A Top-Down Approach, 6th Edition,Addison-WesleyKurose, Ross, Computernetzwerke - Der Top-Down-Ansatz, Pearson Studium;Auflage: 6. AuflageW. Stallings: Cryptography and Network Security: Principles and Practice, 6thedition

Further literature is announced at the beginning of the lecture.

Course L1099: Computer Networks and Internet SecurityTyp Recitation Section (small)

Hrs/wk 1CP 1

Workload in Hours Independent Study Time 16, Study Time in Lecture 14Lecturer Prof. Andreas Timm-Giel, Prof. Dieter Gollmann



[80]


Module M1235: Electrical Power Systems I: Introduction to ElectricalPower Systems

CoursesTitle Typ Hrs/wk CPElectrical Power Systems I: Introduction to Electrical Power Systems(L1670) Lecture 3 4Electrical Power Systems I: Introduction to Electrical Power Systems(L1671)

Recitation Section(large) 2 2



RecommendedPrevious

KnowledgeFundamentals of Electrical Engineering



Knowledge

Students are able to give an overview of conventional and modern electric powersystems. They can explain in detail and critically evaluate technologies of electricpower generation, transmission, storage, and distribution as well as integration ofequipment into electric power systems.

SkillsWith completion of this module the students are able to apply the acquired skills inapplications of the design, integration, development of electric power systems andto assess the results.

PersonalCompetence

Social CompetenceThe students can participate in specialized and interdisciplinary discussions,advance ideas and represent their own work results in front of others.

Autonomy Students can independently tap knowledge of the emphasis of the lectures.




scale90 - 150 minutes


Curricula

General Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: Elective CompulsoryData Science: Core qualification: Elective CompulsoryElectrical Engineering: Core qualification: Elective CompulsoryEnergy and Environmental Engineering: Specialisation Energy Engineering: ElectiveCompulsoryEnergy Systems: Specialisation Energy Systems: Elective CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: Elective CompulsoryComputational Science and Engineering: Specialisation II. Mathematics &Engineering Science: Elective CompulsoryComputational Science and Engineering: Specialisation Engineering Sciences:Elective CompulsoryRenewable Energies: Core qualification: Compulsory

[81]


Theoretical Mechanical Engineering: Technical Complementary Course: ElectiveCompulsoryTheoretical Mechanical Engineering: Specialisation Energy Systems: ElectiveCompulsory

Course L1670: Electrical Power Systems I: Introduction to Electrical Power SystemsTyp Lecture

Hrs/wk 3CP 4



Content

fundamentals and current development trends in electric power engineering tasks and history of electric power systemssymmetric three-phase systemsfundamentals and modelling of eletric power systems

linestransformerssynchronous machinesinduction machinesloads and compensationgrid structures and substations

fundamentals of energy conversionelectro-mechanical energy conversionthermodynamicspower station technologyrenewable energy conversion systems

steady-state network calculationnetwork modellingload flow calculation(n-1)-criterion

symmetric failure calculations, short-circuit powercontrol in networks and power stationsgrid protectiongrid planningpower economy fundamentals

Literature

K. Heuck, K.-D. Dettmann, D. Schulz: "Elektrische Energieversorgung", Vieweg +Teubner, 9. Auflage, 2013

A. J. Schwab: "Elektroenergiesysteme", Springer, 5. Auflage, 2017

R. Flosdorff: "Elektrische Energieverteilung" Vieweg + Teubner, 9. Auflage, 2008

[82]


Course L1671: Electrical Power Systems I: Introduction to Electrical Power SystemsTyp Recitation Section (large)

Hrs/wk 2CP 2



Content

fundamentals and current development trends in electric power engineering tasks and history of electric power systemssymmetric three-phase systemsfundamentals and modelling of eletric power systems

linestransformerssynchronous machinesinduction machinesloads and compensationgrid structures and substations

fundamentals of energy conversionelectro-mechanical energy conversionthermodynamicspower station technologyrenewable energy conversion systems

steady-state network calculationnetwork modellingload flow calculation(n-1)-criterion

symmetric failure calculations, short-circuit powercontrol in networks and power stationsgrid protectiongrid planningpower economy fundamentals

Literature

K. Heuck, K.-D. Dettmann, D. Schulz: "Elektrische Energieversorgung", Vieweg +Teubner, 9. Auflage, 2013

A. J. Schwab: "Elektroenergiesysteme", Springer, 5. Auflage, 2017

R. Flosdorff: "Elektrische Energieverteilung" Vieweg + Teubner, 9. Auflage, 2008

[83]


Module M0760: Electronic Devices

CoursesTitle Typ Hrs/wk CPElectronic Devices (L0720) Lecture 3 4Electronic Devices (L0721) Project-/problem-

based Learning 2 2

ModuleResponsible Prof. Hoc Khiem Trieu


RecommendedPrevious

Knowledge

Atomic model and quantum theory, electrical currents in solid state materials,basics in solid-state physics

Successful participation of Physics for Engineers and Materials in ElectricalEngineering or courses with equivalent contents



Knowledge

Students are able

to represent the basics of semiconductor physics,

to explain the operating principle of important semiconductor devices,

to outline device characteristics and equivalent circuits as well as to explaintheir derivation and

to discuss the limitation of device models.

Skills

Students are capable

to apply devices in basic circuits,

to realize the physical context and to solve complex problems by oneself

PersonalCompetence

Social CompetenceStudents are able to prepare and perform their lab experiments in team work aswell as to present and discuss the results in front of audience.

Autonomy Students are capable to acquire knowledge based on literature in order to preparetheir experiments.


Courseachievement


Yes 10 % Subject theoretical and

Studierenden erarbeiten inKleingruppen Wissen zu einembestimmten Thema,demonstrieren dieses in Formeines Versuches mit

[84]


practical work Präsentation und Diskussion.Darüber hinaus betreut jedeGruppe eine Übungsaufgabe,die inhaltlich zu dem jeweiligenVersuch gehört.


scale120 min


Curricula

General Engineering Science (German program, 7 semester): SpecialisationElectrical Engineering: CompulsoryElectrical Engineering: Core qualification: CompulsoryEngineering Science: Specialisation Electrical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): Specialisation ElectricalEngineering: CompulsoryComputational Science and Engineering: Specialisation II. Mathematics &Engineering Science: Elective Compulsory

[85]


Course L0720: Electronic DevicesTyp Lecture

Hrs/wk 3CP 4

Workload in Hours Independent Study Time 78, Study Time in Lecture 42Lecturer Prof. Hoc Khiem Trieu


Content

Uniformly doped semiconductor (semiconductor, crystal structure, energyband diagram, effective mass, density of state, probability of occupancy,mass action law, generation and recombination processes, generation andrecombination lifetime, carrier transport mechanisms: drift current, diffusioncurrent; equilibriums in semiconductor, semiconductor equations)pn-junction (zero applied bias, energy band diagram in thermal equilibrium,current-voltage characteristics, derivation of diode equation, consideration ofspace charge recombination, transient behaviour, breakdown mechanisms,various types of diodes: Zener diode, tunnel diode, backward diode, photodiode, LED, laser diode)Bipolar transistor (principle of operation, current-voltage characteristics:calculation of base, collector and emitter current, operating modes; non-ideality: actual doping profile, Early effect, breakdown, generation andrecombination current and high injection; Ebers-Moll model: family ofcharacteristics, equivalent circuit; frequency response, switchingcharacteristics, heterojunction bipolar transistor)Unipolar devices (surface effects: surface states, work function, energy banddiagram; metal-semiconductor junctions: Schottky contact, current-voltagecharacteristics, ohmic contact; junction field effect transistor: operatingprinciple, current-voltage characteristics, small-signal model, breakdowncharacteristics; MESFET: operating principle, depletion mode andenhancement mode MESFET; MIS structure: accumulation, depletion,inversion, strong inversion, flatband voltage, oxide charges, thresholdvoltage, capacitance voltage characteristics; MOSFET: basic structure,principle of operation, current voltage characteristics, frequency response,subthreshold behaviour, threshold voltage, device scaling; CMOS)

Literature

S.M. Sze: Semiconductor devices, Physics and Technology, John Wiley & Sons(1985)F. Thuselt: Physik der Halbleiterbauelemente, Springer (2011)

T. Thille, D. Schmitt-Landsiedel: Mikroelektronik, Halbleiterbauelemente und derenAnwendung in elektronischen Schaltungen, Springer (2004)

B.L. Anderson, R.L. Anderson: Fundamentals of Semiconductor Devices, McGraw-Hill(2005)

D.A. Neamen: Semiconductor Physics and Devices, McGraw-Hill (2011)

M. Shur: Introduction to Electronic Devices, John Wiley & Sons (1996)

S.M. Sze: Physics of semiconductor devices, John Wiley & Sons (2007)

H. Schaumburg: Halbleiter, B.G. Teubner (1991)

A. Möschwitzer: Grundlagen der Halbleiter-&Mikroelektronik, Bd1 ElektronischeHalbleiterbauelemente, Carl Hanser (1992)

H.-G. Unger, W. Schultz, G. Weinhausen: Elektronische Bauelemente und NetzwerkeI, Physikalische Grundlagen der Halbleiterbauelemente, Vieweg (1985)

[86]


Course L0721: Electronic DevicesTyp Project-/problem-based Learning

Hrs/wk 2CP 2

Workload in Hours Independent Study Time 32, Study Time in Lecture 28Lecturer Prof. Hoc Khiem Trieu



[87]


Module M0569: Engineering Mechanics I

CoursesTitle Typ Hrs/wk CPEngineering Mechanics I (L0187) Lecture 3 3Engineering Mechanics I (L0190) Recitation Section

(small) 2 3

ModuleResponsible Prof. Uwe Weltin


RecommendedPrevious

KnowledgeElementary knowledge in mathematics and physics



KnowledgeStudents are able to describe fundamental connections, theories and methods tocalculate forces in statically determined mounted systems of rigid bodies andfundamentals in elastostatics.

Skills Students are able to apply theories and methods to calculate forces in staticallydetermined mounted systems of rigid bodies and fundamentals of elastostatics.

PersonalCompetence

Social CompetenceStudents are able to work goal-oriented in small mixed groups, learning andbroadening teamwork abilities.

Autonomy Students are able to solve individually exercises related to this lecture.




scale90 minutes


Curricula

Bioprocess Engineering: Core qualification: CompulsoryElectrical Engineering: Core qualification: Elective CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryComputational Science and Engineering: Specialisation II. Mathematics &Engineering Science: Elective CompulsoryOrientierungsstudium: Core qualification: Elective CompulsoryProcess Engineering: Core qualification: Compulsory

[88]


Course L0187: Engineering Mechanics ITyp Lecture

Hrs/wk 3CP 3

Workload in Hours Independent Study Time 48, Study Time in Lecture 42Lecturer Prof. Uwe Weltin


Content

Methods to calculate forces in statically determined systems of rigid bodies

Newton-Euler-MethodEnergy-Methods

Fundamentals of elasticity

Forces and deformations in elastic systems

Literature

Gross, D.; Hauger, W.; Schröder, J.; Wall, W.A.: Technische Mechanik 1: Statik,Springer Vieweg, 2013Gross, D.; Hauger, W.; Schröder, J.; Wall, W.A.: Technische Mechanik 2:Elastostatik, Springer Verlag, 2011Gross, D; Ehlers, W.; Wriggers, P.; Schröder, J.; Müller, R.: Formeln undAufgaben zur Technischen Mechanik 1: Statik, Springer Vieweg, 2013 Gross, D; Ehlers, W.; Wriggers, P.; Schröder, J.; Müller, R.: Formeln undAufgaben zur Technischen Mechanik 2: Elastostatik, Springer Verlag, 2011 Hibbeler, Russel C.: Technische Mechanik 1 Statik, Pearson Studium, 2012Hibbeler, Russel C.: Technische Mechanik 2 Festigkeitslehre, PearsonStudium, 2013 Hauger, W.; Mannl, V.; Wall, W.A.; Werner, E.: Aufgaben zu TechnischeMechanik 1-3: Statik, Elastostatik, Kinetik, Springer Verlag, 2011

Course L0190: Engineering Mechanics ITyp Recitation Section (small)

Hrs/wk 2CP 3




[89]


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.

[90]





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

[91]


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

[92]


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



[93]


Module M1242: Quantum Mechanics for Engineers

CoursesTitle Typ Hrs/wk CPQuantum Mechanics for Engineers (L1686) Lecture 2 3Quantum Mechanics for Engineers (L1688) Recitation Section

(small) 2 3

ModuleResponsible Prof. Wolfgang Hansen


RecommendedPrevious

Knowledge

Knowledge in physics, particularly in optics and wavephenomena;knowledge in mathematics, particularly linear algebra, vectorcalculus, complex numbers and Fourier expansion



KnowledgeThe students are able to describe and explain basic terms andprinciples of quantum mechanics. They can distinguish commonsand differences to classical physics and know, in which situationsquantum mechanical phenomena may be expected.

SkillsThe students get the ability to apply concepts and methods ofquantum mechanics to simple problems and systems. Vice versa,they are also able to comprehend requirements and principles ofquantum mechanical devices.

PersonalCompetence

Social CompetenceThe students discuss contents of the lectures and present solutionsto simple quantum mechanical problems in small groups during theexercises.

AutonomyThe students are able to independently find answers to simplequestions on quantum mechanical systems. The students are ableto independently comprehend literature to more complex subjectswith quantum mechanical background.


Courseachievement


No None Written elaborationoptionale Vorlage von selbstausgearbeiteten Lösungen zuden Übungen

Examination Oral examExaminationduration and

scale90 Minuten


Computer Science: Specialisation Computer and Software Engineering: ElectiveCompulsoryComputer Science: Specialisation Computational Mathematics: Elective CompulsoryComputer Science: Specialisation II. Mathematics and Engineering Science: ElectiveCompulsory

[94]


Curricula Electrical Engineering: Core qualification: Elective CompulsoryComputational Science and Engineering: Specialisation Computer Science: ElectiveCompulsory

Course L1686: Quantum Mechanics for EngineersTyp Lecture

Hrs/wk 2CP 3



Content

This lecture introduces into fundamental concepts, methods, and definitions inquantum mechanics, which are needed in modern material and device science.Applications will be discussed using examples in the field of electronic and opticaldevices.

Central topics are:

Schrödinger equation, wave function, operators, eigenstates, eigenvalues, quantumwells, harmonic oscillator, tunnel processes, resonant tunnel diode, band structure,density of states, quantum statistics, Zener-diode, stationary perturbationcalculation with the quantum-confined Stark effect as an example, Fermi’s goldenrule and transition matrix elements, heterostructure laser, quantum cascade laser,many-particle physics, molecules and exchange interaction, quantum bits andquantum cryptography.

Literature

David J. Griffiths: "Quantenmechanik, eine Einführung", Pearson (2012), ISBN978-3-8632-6514-4.David K. Ferry: "Quantum Mechanics", IOP Publishing (1995), ISBN 0-7503-0327-1 (hbk) bzw. 0-7503-0328-X (pbk).M. Jaros: " Physics and Applications of Semiconductor Microstructures ",Clarendon Press (1989), ISBN: 0-19-851994-X bzw. 0-19-853927-4 (Pbk).Randy Harris, "Modernes Physik Lehr- und Übungsbuch", 2. aktualisierteAuflage, Kapitel 3-10, Pearson (2013), ISBN 978-3-86894-115-9.Michael A Nielsen and Isaac L. Chuang: "Quantum Computation and QuantumInformatioin", 10. Auflage, Cambridge University Press (2011), ISBN:1107002176 9781107002173.H i r o y u k i Sagawa and Nobuaki Yoshida: "Fundamentals of QuantumInformation", World Scientific Publishing (2010), ISBN-13: 978-9814324236.

Course L1688: Quantum Mechanics for EngineersTyp Recitation Section (small)

Hrs/wk 2CP 3




[95]


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[96]


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

[97]


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

[98]


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

[99]


Module M0570: Engineering Mechanics II

CoursesTitle Typ Hrs/wk CPEngineering Mechanics II (L0191) Lecture 3 3Engineering Mechanics II (L0192) Recitation Section

(small) 2 3

ModuleResponsible Prof. Uwe Weltin


RecommendedPrevious

KnowledgeTechnical Mechnics I



Knowledge Students are able to describe connections, theories and methods to calculate forcesand motions of rigid bodies in 3D.

Skills Students are able to apply theories and method to calculate forces and motions ofrigid bodies in 3D.

PersonalCompetence

Social CompetenceStudents are able to work goal-oriented in small mixed groups, learning andbroadening teamwork abilities.

AutonomyStudents are able to solve individually exercises related to this lecture withinstructional direction.




scale90 minutes


Curricula

Bioprocess Engineering: Core qualification: CompulsoryElectrical Engineering: Core qualification: Elective CompulsoryEnergy and Environmental Engineering: Core qualification: CompulsoryOrientierungsstudium: Core qualification: Elective CompulsoryProcess Engineering: Core qualification: Compulsory

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Course L0191: Engineering Mechanics IITyp Lecture

Hrs/wk 3CP 3



Content

Method for calculation of forces and motion of rigid bodies in 3D

Newton-Euler-MethodEnergy methods

Literature

Gross, D.; Hauger, W.; Schröder, J.; Wall, W.A.: Technische Mechanik 2:Elastostatik, Springer Verlag, 2011Gross, D.; Hauger, W.; Schröder, J.; Wall, W.A.: Technische Mechanik 3:Kinetik, Springer Vieweg, 2012 Gross, D; Ehlers, W.; Wriggers, P.; Schröder, J.; Müller, R.: Formeln undAufgaben zur Technischen Mechanik 2: Elastostatik, Springer Verlag, 2011 Gross, D; Ehlers, W.; Wriggers, P.; Schröder, J.; Müller, R.: Formeln undAufgaben zur Technischen Mechanik 3: Kinetik, Springer Vieweg, 2012Hibbeler, Russel C.: Technische Mechanik 2 Festigkeitslehre, PearsonStudium, 2013Hibbeler, Russel C.: Technische Mechanik 3 Dynamik, Pearson Studium, 2012 Hauger, W.; Mannl, V.; Wall, W.A.; Werner, E.: Aufgaben zu TechnischeMechanik 1-3: Statik, Elastostatik, Kinetik, Springer Verlag, 2011

Course L0192: Engineering Mechanics IITyp Recitation Section (small)

Hrs/wk 2CP 3




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Module M0634: Introduction into Medical Technology and Systems

CoursesTitle Typ Hrs/wk CPIntroduction into Medical Technology and Systems (L0342) Lecture 2 3Introduction into Medical Technology and Systems (L0343) Project Seminar 2 2Introduction into Medical Technology and Systems (L1876) Recitation Section

(large) 1 1

ModuleResponsible Prof. Alexander Schlaefer


RecommendedPrevious

Knowledge

principles of math (algebra, analysis/calculus)principles of stochasticsprinciples of programming, R/Matlab



KnowledgeThe students can explain principles of medical technology, including imagingsystems, computer aided surgery, and medical information systems. They are ableto give an overview of regulatory affairs and standards in medical technology.

SkillsThe students are able to evaluate systems and medical devices in the context ofclinical applications.

PersonalCompetence

Social CompetenceThe students describe a problem in medical technology as a project, and definetasks that are solved in a joint effort.

AutonomyThe students can reflect their knowledge and document the results of their work.They can present the results in an appropriate manner.


Courseachievement

CompulsoryBonus Form DescriptionYes 10 % Written elaborationYes 10 % Presentation


scale90 minutes


General Engineering Science (German program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryComputer Science: Specialisation Computer and Software Engineering: ElectiveCompulsoryComputer Science: Specialisation II. Mathematics and Engineering Science: ElectiveCompulsoryData Science: Core qualification: Elective CompulsoryElectrical Engineering: Core qualification: Elective CompulsoryEngineering Science: Specialisation Biomedical Engineering: CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationBiomedical Engineering: CompulsoryComputational Science and Engineering: Specialisation II. Mathematics &Engineering Science: Elective Compulsory

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Curricula Computational Science and Engineering: Specialisation Computer Science: ElectiveCompulsoryComputational Science and Engineering: Specialisation Engineering Sciences:Elective CompulsoryBiomedical Engineering: Specialisation Artificial Organs and Regenerative Medicine:Elective CompulsoryBiomedical Engineering: Specialisation Implants and Endoprostheses: ElectiveCompulsoryBiomedical Engineering: Specialisation Medical Technology and Control Theory:Elective CompulsoryBiomedical Engineering: Specialisation Management and Business Administration:Elective CompulsoryTechnomathematics: Specialisation III. Engineering Science: Elective Compulsory

Course L0342: Introduction into Medical Technology and SystemsTyp Lecture

Hrs/wk 2CP 3



Content

- imaging systems- computer aided surgery- medical sensor systems- medical information systems- regulatory affairs- standard in medical technologyThe students will work in groups to apply the methods introduced during the lectureusing problem based learning.

Literature Wird in der Veranstaltung bekannt gegeben.

Course L0343: Introduction into Medical Technology and SystemsTyp Project Seminar

Hrs/wk 2CP 2




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Course L1876: Introduction into Medical Technology and SystemsTyp Recitation Section (large)

Hrs/wk 1CP 1



Content

- imaging systems- computer aided surgery- medical sensor systems- medical information systems- regulatory affairs- standard in medical technologyThe students will work in groups to apply the methods introduced during the lectureusing problem based learning.

Literature Wird in der Veranstaltung bekannt gegeben.

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Module M0803: Embedded Systems

CoursesTitle Typ Hrs/wk CPEmbedded Systems (L0805) Lecture 3 4Embedded Systems (L0806) Recitation Section

(small) 1 2

ModuleResponsible Prof. Heiko Falk


RecommendedPrevious

KnowledgeComputer Engineering



Knowledge

Embedded systems can be defined as information processing systems embeddedinto enclosing products. This course teaches the foundations of such systems. Inparticular, it deals with an introduction into these systems (notions, commoncharacteristics) and their specification languages (models of computation,hierarchical automata, specification of distributed systems, task graphs,specification of real-time applications, translations between different models).

Another part covers the hardware of embedded systems: Sonsors, A/D and D/Aconverters, real-time capable communication hardware, embedded processors,memories, energy dissipation, reconfigurable logic and actuators. The course alsofeatures an introduction into real-time operating systems, middleware and real-timescheduling. Finally, the implementation of embedded systems usinghardware/software co-design (hardware/software partitioning, high-leveltransformations of specifications, energy-efficient realizations, compilers forembedded processors) is covered.

Skills

After having attended the course, students shall be able to realize simple embeddedsystems. The students shall realize which relevant parts of technologicalcompetences to use in order to obtain a functional embedded systems. In particular,they shall be able to compare different models of computations and feasibletechniques for system-level design. They shall be able to judge in which areas ofembedded system design specific risks exist.

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.


Courseachievement


Yes 10 % Subject theoretical andpractical work


scale90 minutes, contents of course and labs

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Curricula

General Engineering Science (German program, 7 semester): SpecialisationComputer Science: Elective CompulsoryGeneral Engineering Science (German program, 7 semester): SpecialisationComputer Science: CompulsoryComputer Science: Specialisation Computer and Software Engineering: ElectiveCompulsoryComputer Science: Specialisation I. Computer and Software Engineering: ElectiveCompulsoryElectrical Engineering: Core qualification: Elective CompulsoryEngineering Science: Specialisation Mechatronics: Elective CompulsoryAircraft Systems Engineering: Specialisation Avionic Systems: Elective CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationComputer Science: Elective CompulsoryGeneral Engineering Science (English program, 7 semester): SpecialisationMechatronics: Elective CompulsoryComputational Science and Engineering: Core qualification: CompulsoryMechatronics: Specialisation System Design: Elective CompulsoryMechatronics: Specialisation Intelligent Systems and Robotics: Elective CompulsoryMicroelectronics and Microsystems: Specialisation Embedded Systems: ElectiveCompulsory

Course L0805: Embedded SystemsTyp Lecture

Hrs/wk 3CP 4


Language ENCycle SoSe

Content

IntroductionSpecifications and ModelingEmbedded/Cyber-Physical Systems HardwareSystem SoftwareEvaluation and ValidationMapping of Applications to Execution PlatformsOptimization

Literature Peter Marwedel. Embedded System Design - Embedded Systems Foundationsof Cyber-Physical Systems. 2nd Edition, Springer, 2012., Springer, 2012.

Course L0806: Embedded SystemsTyp Recitation Section (small)

Hrs/wk 1CP 2


Language ENCycle SoSe


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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.

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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

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