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 Modulhandbuch des Studiengangs “Commercial Vehicle Technology  Mandatory Modules S. 03 - 19  Elective Modules S. 20 – 78  Laboratory & Project S. 79 - 81  Supplementary Modules S. 81 - 94

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Modulhandbuch des Studiengangs

“Commercial Vehicle Technology“

−  Mandatory Modules S. 03 - 19

−  Elective Modules S. 20 – 78

−  Laboratory & Project S. 79 - 81

−  Supplementary Modules S. 81 - 94

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1. Mandatory Modules

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M 1 (Section Mechanical Engineering)

Module name: Principles of Commercial Vehicle Technology

Grundlagen der Nutzfahrzeugtechnik

Abbreviation: Module No. M1

Semester: 1st 

Module coordinator: Prof. Dr.-Ing. Christian Schindler 

Lecturer: Prof. Dr.-Ing. Christian Schindler (lecturer)

 Assistant (tutorial)

Language: English (or German if the students prefer)

Classification within thecurriculum:

For Master Degree “Commercial Vehicle Technology”

as mandatory subject.

Teaching format / classhours per week during the

semester:

14 double-hour lectures, one per week

6 double-hour tutorials

both during the winter term

Workload: Contact study workload: 40 hrs per term

Self-study workload: 80 hrs per term

Overall workload: 120 hrs per term

Credit points: 4

Recommendedprerequisites:

Mechanics and machine elements and engineering design or similar 

Targeted learningoutcomes:

Knowledge on the state-of-the-art and the general requirements onthe technology of modern commercial vehicles.

Students are able to cope with the most established methods of vehicle evaluation according to power demand, load and payloaddistribution and steering characteristics.

Students have an overview on the general design philosophies of commercial vehicles with special focus on chassis and car body.

Content: • Introduction, state of the art

• Classification of Commercial Vehicles

• Driving Resistance and Power Requirement

• Mechanics and Dynamics of Driving

• Concepts of Commercial Vehicles

• Running gears of Commercial Vehicles

• Structures and Carbodies

• Special Commercial Vehicles

Exam/ Studyachievements:

Written or oral examination at the end of each semester (dependingon the number of examinees)

Forms of media: Power Point Slides combined with sketches on the chalkboard. Slidesprovided via Internet.

Literature: Hoepke (Hrsg.) u.a.: Nutzfahrzeugtechnik, 3. Aufl. (2004), Vieweg-Verlag, Wiesbaden

MAN: Grundlagen der Nutzfahrzeugtechnik, Kirschbaum Verlag,Bonn (2004)

Jazar: Vehicle Dynamics: Theory & Application, 1. (2008), Springer,

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Science & Business Media, New York

Fitch, J.W.: Motor Truck Engineering Handbook, 4. Aufl. (1994),Society of Automotive Engineers, Warrendale, USA

Society of Automotive Engineers (Hrsg.): Truck Systems DesignHandbook, Volume 2, (2002), 4. Aufl. (1994), Society

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M 2a (Section Mechanical Engineering)

Module name: Powertrain Engineering of Commercial Vehicles I:Engines of Commercial Vehicles

Fahrzeugantriebe

Abbreviation: Module No. M 2a

Semester: 2nd

Module coordinator: Prof. Dr.-Ing. Rudolf Flierl

Lecturer: Prof. Dr.-Ing. Rudolf Flierl

Language: English

Classification within thecurriculum:

For Master Degree “Commercial Vehicle Technology”

as mandatory subject.

Teaching format / classhours per week during the

semester:

2 hrs lecture per week

Workload: Contact study workload: 26 hrs per term

Self-study workload: 64 hrs per term

Overall workload: 90 hrs per term

Credit points: 3

Recommendedprerequisites:

-

Targeted learningoutcomes:

Knowledge on the state-of-the-art in combustion engines engineering.

Knowledge on the common use in combustion engines design for commercial vehicles.

Content: • Diesel engines with Common Rail,

• Torque-, Power Output Emissions,

• Fuel Consumption,

• Emission Standards worldwide,

• Package Restrictions,

• Design of Engine Components

Exam/ Studyachievements:

Oral or written examination

Forms of media: Power point presentation, scriptum

Literature: Vieweg Handbuch Kraftfahrzeugtechnik, Hrsg.: Braess, Hans-Hermann / Seiffert, Ulrich, Reihe: ATZ-MTZ Fachbuch, Vieweg Verlag

Verbrennungsmotoren, Hrsg. Eduard Köhler, Rudolf Flierl, 4.Auflage,Vieweg Verlag

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M 2b (Section Mechanical Engineering)

Module name: Power train Engineering of Commercial Vehicles II:Drives and Gears

Fahrzeuggetriebe

Abbreviation: Module No. M2b

Semester: 2nd

Module coordinator: Prof. Dr.-Ing. Bernd Sauer 

Lecturer: Prof. Dr.-Ing. Bernd Sauer 

Prof. Dr.-Ing. Eckhard Kirchner 

Language: English (or German if the students prefer)

Classification within thecurriculum:

It is a mandatory module that supplies fundamentals of gears withfocus on commercial vehicles practical application.

Teaching format / class

hours per week during thesemester:

7 blocked lectures with 4 hours per lecture

Workload: Contact study workload: 26 hrs per term

Self-study workload: 64 hrs per term

Overall workload: 90 hrs per term

Credit points: 3

Recommendedprerequisites::

Machine elements or comparable

Targeted learningoutcomes:

Knowledge on the state-of-the-art in power train engineering of vehicles.

Knowledge on the common use power train design of vehicles with afocus on commercial vehicles.

Content: • Introduction, function of drive systems

• Classification of drive systems and gears

• Gear types

• Standard transmission

• Planetary gear 

• Hydrodynamic / hydrostatic gear 

• Design of transmission

Exams/ Studyachievements: Written or oral examination at the end of each semester (dependingon the number of examinees)

Forms of media: Power Point Slides combined with sketches on overhead projector.Slides provided.

Literature: Lechner, G. , Naunheimer, H.: Fahrzeuggetriebe , 2. Auflage,Springer Verlag 2007.

Klement, W.: Fahrzeuggetriebe, Hanser Verlag 2005.

Kirchner, E.: Leistungsübertragung in Fahrzeuggetrieben. Springer Verlag Herbst 2007

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M 3a (Section Mechanical Engineering)

Module name: Manufacturing Engineering of Commercial Vehicles

Technologie der Fertigung von NutzfahrzeugenAbbreviation: Module No. M3a

Semester: 2 nd

Module coordinator: Prof. Dr.-Ing. Jan C. Aurich

Lecturer: Dr.-Ing. Frank H. Lehmann

Language: English

Classification within thecurriculum:

For Master Degree “Commercial Vehicle Technology” as mandatorysubject.

Teaching format / classhours per week during thesemester:

Introducing Lecture: 3 hrs.

Two-day event: 5 blocked lectures and live presentationFull-day field trip: To DC’s Woerth truck plant

Half-day lean event: (JiT-Simulation)

Full-day event: Team work presentation and oral exam

Workload: Contact Study Workload: 30 hrs.

Self Study Workload: 10 hrs.

Team Work Workload: 20 hrs.

Overall Workload: 60 hrs.

Credit points: 2

Targeted learningoutcomes:

Knowledge on the state-of-the-art of commercial vehicle engineering,development and production.Knowledge on an overview on topical processes in global commercialvehicle production networks.Understanding of the requirements and basic conditions of globallyactive CV manufacturers.

Content: • Commercial Vehicle Markets and Customer Demands

• Commercial Vehicle Technology

• CV Development Process

• CV Prototypes and Production Oriented Design

• CV Production and Manufacturing Engineering• Lean Production and Production Systems

• Launch and Change Management

• Ramp-Up Management

• Supplier Management

• Networks in CV Production

Exam/ Studyachievements:

Team work presentation and oral examination at the end of the term.

Forms of media: • Powerpoint slides (provided as hardcopy)

• Additional sketches on the chalkboard, small movies etc

Literature: Hoepke et al.: Nutzfahrzeugtechnik, 3rd Ed., Wiesbaden, 2004

VDA (Ed.): Auto Jahresbericht 2006

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M 3b (Section Mechanical Engineering)

Module name: Production of Commercial Vehicles

Produktion von Nutzfahrzeugen

Abbreviation: Module No. M3b

Semester: 1st

Module coordinator: Prof. Dr.-Ing. Jan C. Aurich

Lecturer: Prof. Dr.-Ing. Jan C. Aurich

Language: English

Classification within thecurriculum:

For Master Degree “Commercial Vehicle Technology” as mandatorysubject.

Teaching format / classhours per week during thesemester:

14 2-hour lectures (weekly)14 1-hour tutorials (weekly)One-day field trip to John Deere Factory

Workload: Contact Study Workload: 42 hrs.Self Study Workload: 68 hrs.Field Trip: 10 hrsOverall Workload: 120 hrs.

Credit points: 4

Recommendedprerequisites:

Basic knowledge of manufacturing technologies

Targeted learningoutcomes:

Students gain knowledge on the state-of-the-art of commercial vehicleproduction and manufacturing technologies:

Content: Introduction to C.V. production

• Body-in-white

• Powertrain

• Vehicle Assembly

• Ramp-up and Change Management

• Benchmark to Passenger Car ProductionExam/ Studyachievements:

Written exam at the end of each semester 

Forms of media: • Slides, short movies, sketches at the chalkboard,

• WebCT internet learning platformLiterature:

 And Online Information in WebCT

Grob, R.; Haffner, H.: Planungsleitlinien zur Gestaltung von Arbeitssystemen. Siemens AG, Abteilung Verlag.

Pfohl, H.-Ch.: Logistiksysteme. Springer.

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M 4 (Section Computer Science)

Module name: Foundations of Software Engineering

Grundlagen des Software Engineering

Abbreviation: Module No. M4

Semester: 1st

Module coordinator: Prof. Dr. Peter Liggesmeyer 

Lecturer: Prof. Dr. Peter Liggesmeyer,

Prof. Dr. Dieter Rombach

Language: English

Classification within thecurriculum:

Teaching format / classhours per week during the

semester:

2 h Lecture + 1 h Exercise

Workload: Contact study workload: 42 hrs per term

Self-study workload: 78 hrs per term

Overall workload: 120 hrs per term

Credit points: 4

Recommendedprerequisites:

-

Targeted learningoutcomes:

Knowledge about principles, methods, and tools for the developmentof large software systems for the commercial vehicle domain.Knowledge about important software engineering topics focusing onautomotive systems.

 Ability to develop software under software quality assurance aspectsand with automated tools.

Content: • Software engineering principles

• Empirical laws

• Basic knowledge (specification, architecture, verification, testing,process modelling, measurement, experimentation)

• Component engineering (model-based development, languagesand tools, non-functional requirements)

• Development of large systems (system specification, designpatterns, frameworks, system test)

Application engineering (requirements engineering, perspective-based inspection)

• Projekt management

• Software evolution (legacy systems, maintenance)

• Hot topics (standards, …)Exam/ Studyachievements:

Oral or written exam

Forms of media: Slides

Literature: Sommerville: Software Engineering, Pearson Studium, 2001

H. Balzert: Lehrbuch der Software-Technik 1/2. Spektrum Akademischer Verlag, 2000

P. Jalote: An Integrated Approach to Software Engineering, SecondEdition, Springer-Verlag, 1997

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W. Zuser, T. Grechenig, M. Köhle: Software Engineering mit UML unddem Unified Process, Pearson Studium, 2004.

M. Jeckle, C. Rupp, J. Hahn, B. Zengler, S. Queins: UML 2 Glasklar;Carl Hanser Verlag; 2003.

Peter Liggesmeyer: Software-Qualität; Spektrum Akademischer Verlag, 2002

Jörg Schäuffele und Thomas Zurawka: Automotive SoftwareEngineering; Vieweg, 2006

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M 5 (Section Computer Science)

Module name: Safety and Reliability of Embedded Systems

Sicherheit und Zuverlässigkeit eingebetteter Systeme

Abbreviation: Module No. M5

Semester: 1st

Module coordinator: Prof. Peter Liggesmeyer 

Lecturer: Prof. Peter Liggesmeyer 

Language: German and English (alternating)

Classification within thecurriculum:

For Master Degree “Commercial Vehicle Technology” as mandatorysubject.

Teaching format / classhours per week during thesemester:

Lectures 2 h/week + exercise 1 h/week

Workload: Contact study workload: 42 hrs per termSelf-study workload: 78 hrs per term

Overall workload: 120 hrs per term

Credit points: 4

Recommendedprerequisites:

• Formal Foundations of Programming

• Foundations of Software Engineering

Targeted learningoutcomes:

Knowledge in handling special formal and stochastic techniques for the safety and reliability analysis of software and systems

Knowledge in using relevant methods for analysis

Content: Safety and reliability are particularly important quality criteria for software applications in the technical sector.

In many domains - e.g. rail-mounted vehicles, avionics, automotiveengineering, medical technology - a software failure can endanger human lives. Hence, for example, safety has to be proved before theinitial start-up of such systems. These proofs must be complete ingeneral or have to prove at least that a tolerable residual risk is notexceeded.

The lecture is divided into a basic part and a practical part. In thebasic part current techniques for the safety and reliability analysis arepresented (Symbolic Model Checking and stochastic reliabilityanalysis). In the practical part representatives of industrial companies,which develop security-critical software-intensive systems, report onthe situation in practical use.

Exam/ Studyachievements:

Oral or written exams

Forms of media: • Transparencies/beamer/etc.

• Transparencies for downloading (as PDF).

Literature: Lyu M.R., Handbook of Software Reliability Engineering, New York:McGraw-Hill, 1995

Liggesmeyer P., Qualitätssicherung softwareintensiver technischer Systeme, Heidelberg: Spektrum Akademischer Verlag, 2000

Kececioglu D., Reliability Engineering Handbook, Prentice-Hall 1991

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M 6 (Section Computer Science)

Module name: Automotive Software Engineering

Software Engineering im Fahrzeugbau

Abbreviation: Module No. M6

Semester: 2nd

Module coordinator: Dr. habil. Bernd Schürmann

Lecturer: Dr. Trapp

Language: English or German

Classification within thecurriculum:

Mandatory module for CVT that is rather practically oriented.

Teaching format / classhours per week during thesemester:

2 h Lectures + 1 h Exercise

Workload: Contact study workload: 42 hrs per termSelf-study workload: 78 hrs per term

Overall workload: 120 hrs per term

Credit points: 4

Recommendedprerequisites:

• Foundations of Embedded Systems

• Foundations of Software Engineering

Targeted learningoutcomes:

Knowledge about the model-based-development of automotivesoftware systems using state-of-the-art technologies.

Deep understanding of the specific problems of automotiveembedded systems and ability to use existing approaches solving

these problems.Content: The course describes all activities of the model-based development of 

automotive software systems from the requirements analysis to codegeneration.

Based on state-of-the-art technologies, current researchachievements but also industrial practice, it provides solutions to thespecific problems of the regarded domain. It thus enables the studentto apply the techniques for the model-based development of complexautomotive software systems.

During the exercises, all development steps will be practised basedon a continuous running example.

Exam/ Studyachievements: Oral examination

Forms of media: • Transparencies/beamer/etc.

• Transparencies for downloading (as PDF)

Literature: B. P. Douglass: Doing Hard Time: Developing Real-Time Systemswith UML, Objects, Frameworks, and Patterns, Addison-Wesley, 1999

Marc Born, Eckhardt Holz, Olaf Kath: Softwareentwicklung mit UML 2 Addison-Wesley, 2004

Peter Marwedel: Eingebette Systeme, Springer, 2007

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M 7 (Section Computer Science)

Module name: System Description Languages

Systembeschreibungssprachen

Abbreviation: Module No. M7a

Semester: 1st

Module coordinator: Prof. Klaus Schneider 

Lecturer: Prof. Klaus Schneider 

Language: German and English (alternating)

Classification within thecurriculum:

For Master Degree “Commercial Vehicle Technology” as mandatorysubject.

Teaching format / classhours per week during thesemester:

2 h Lectures + 1 h Exercise

Workload: Contact study workload: 42 hrs per termSelf-study workload: 78 hrs per term

Overall workload: 120 hrs per term

Credit points: 4

Recommendedprerequisites:

-

Targeted learningoutcomes:

 Ability in modelling and programming of parallel and hybrid systems

Skills in Compilation/Synthesis of System Descriptions

Content: • event-oriented languages: VHDL, SystemC and SystemVerilog

• cycle-based languages like synchronous languages

• hybrid languages like Modelica

Exam/ Studyachievements:

Oral examination

Forms of media: • Blackboard/flipchart/etc.

• Transparencies/beamer/etc.

• Transparencies for downloading (as PDF)

Literature: G. Berry, The Esterel Language Primer, 2000

G. Berry, The Constructive Semantics of Esterel, 1999

N. Halbwachs, Synchronous programming of reactive systems,

Kluwer, 1993Benveniste, P. Caspi, S. Edwards, N. Halbwachs, P. Le Guernic, andR. de Simone, The Synchronous Languages Twelve Years Later,Proceedings of the IEEE, 91(1):64-83, 2003

D. Harel and A. Naamad, The STATEMATE Semantics of Statecharts, ACM Transactions on Software Engenieering Methods,5(3):293-333, 1996

N. Halbwachs, P. Caspi, P. Raymond, and D. Pilaud, TheSynchronous Dataflow Programming Language LUSTRE, IEEEProceedings, 79(9):1305-1320, 1991

S. Palnitkar, Verilog HDL, Prentice Hall, 2003

G. Lehmann, B. Wunder, and M. Selz, Schaltungsdesign mit VHDL:Synthese, Simulation und Dokumentation digitaler Schaltungen,Franzis Verlag, 1994

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P.J. Ashenden, VHDL Cookbook, im Internet verfügbar, Stand 1990

Modelica: A Unified Object-Oriented Language for Physical SystemsModeling, Tutorial Version 1.4

Internet sources:

www.modelica.org 

www.systemverilog.org 

www.synalp.org 

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M 8 (Section Electrical Engineering)Alternatively to M8, E 18 (Lineare Regelungen) can be chosen as Mandatory

Module name: Electric Drive Technology I

Elektrische Antriebstechnik I (EAT I)

Abbreviation: Module No. M 8

Semester: 1 st

Module coordinator: Prof. Dr. G. Huth

Lecturer: Prof. Dr. G. Huth

Language: German / English

Classification within thecurriculum:

Basic lecture with theoretical adjustment and practically orientedauditorium exercises

Teaching format 3 h Lectures, 1 h Exercise

Workload: Contact study workload: 56 hrs per term

Self-study workload: 64 hrs per term

Overall workload: 120 hrs per term

Credit points: 4

Recommendedprerequisites:

-

Targeted learningoutcomes:

• Knowledge of the most important functional groups of electricdrive systems

• Ability to describe the temporal movement process of a drive

• Ability to project electric drives on the base of mode of operationor load Control of the power-electronic circuit technology with DCand AC drives

Control of the modelling of conventional drives with direct currentand three-phase current-asynchronous machines as well asdescription of the stationary behaviour 

• Control of the modelling of power converter driven drives withdirect current and three-phase current-asynchronous machinesas well as description of the stationary behaviour 

• Control of the circuit technology for DC and AC driveswith regardto start-up, speed position / speed regulation and braking

Content: • Development of the electric drive technology

• Current developing trends

• Functional groups of electric drive systems

• Stationary description of machines

• Modes of operation relating to German Institute for Standardization EN 60034-1

• Basics of the drive engineering

• Three-phase current transformers in drive systems

• Conventional DC drives.

• Drives with DC-Converter 

• Basic field behaviour of the three-phase current-asynchronousmachine with cage and slip ring rotor 

• Conventional AC drives with three-phase current-asynchronousmachines

• Drives with AC-Converter using three-phase current-

asynchronous machines.Exam/ Studyachievements:

Written or oral exam

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Forms of media: Slides and blackboard

Literature: Riefenstahl : Elektrische Antriebstechnik , Teubner 

Simon, Fransua u.a.: Elektrische Maschinen und Antriebssysteme ,Vieweg

W. Leonhard : Regelung elektrischer Antriebe , Springer 

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M 9 (Section Electrical Engineering)

Module name: Architecture of Embedded Systems

 Architektur digitaler Systeme II

Abbreviation: Module No. M9

Semester: 2nd

Module coordinator: Prof. Dr.-Ing. habil. Wolfgang Kunz

Lecturer: Priv. Doz. Dr.–Ing.habil. Dominik Stoffel

Language: English

Classification within thecurriculum:

The module is a mandatory subject for CVT.

Teaching format / classhours per week during thesemester:

2 hours lecture + 1 hour exercise (per week)

Workload: Contact-study workload: 39 h per semester 

Self-study workload: 81 h per semester 

Overall workload: 120 per semester 

Credit points: 4

Recommendedprerequisites:

Basic knowledge in assembler programming and processor architecture

Targeted learningoutcomes:

• understand the fundamental design principles, models andarchitectures of embedded computing systems

• be able to read advanced literature on the subject be able to getengaged in research and development projects in this area

Content: • system modeling with UML• instruction sets of embedded microprocessors

• microprocessors for embedded computing

• embedded computing platform (bus, memory, I/O)

• program design and analysis

• processes and operating systems

• distributed systemsExam/ Studyachievements:

Oral exam

Forms of media: Website, slides

Literature: W. Wolf: “Computers as Components”, Morgan Kaufman Publishers,ISBN 1-55860-693-9

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M 10 (Section Electrical Engineering)

Module name: Operating Systems

Betriebssysteme

Abbreviation: Module No. M10

Semester: 1st

Module coordinator: Prof. Dr. techn. Gerhard Fohler 

Lecturer: Prof. Dr. techn. Gerhard Fohler 

Language: English

Classification within thecurriculum:

M 12 is a basic mandatory Module that is practically oriented

Teaching format / classhours per week during thesemester:

2 h/week lectures; 1 h/week laboratory

Workload: Contact study workload: 42 hrs per termSelf-study workload: 78 hrs per term

Overall workload: 120 hrs per term

Credit points: 4

Recommendedprerequisites:

Basic knowledge of programming and algorithms

Targeted learningoutcomes:

Knowledge on and ability to use basic concepts and services of operating systems.

Understanding of topics like processes and threads, synchronizationand mutual exclusion, deadlock, input/output.

Content:  An operating system is software, which allows the operation of acomputer. It provides the use of hardware to application softwarewithout detailed interaction with hardware. It manages resources suchas memory, input/output, and the execution of programs.

The course is accompanied by a lab.

 Areas include:

• processes and threads

• mutual exclusion

• synchronization

• input/output

• memory management

• schedulingExam/ Studyachievements:

Written exam

Forms of media: Computer Presentations, Handouts, Webpages

Literature: Giorgio Buttazzo, "Hard Real-Time Computing Systems: PredictableScheduling Algorithms and Applications".

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M 11 (Section Electrical Engineering)

Module name: Electronics II

Elektronik II

Abbreviation: Module No. M11

Semester: 1st

Module coordinator: Prof. Dr.-Ing Andreas König

Lecturer: Prof. Dr.-Ing Andreas König

Language: English

Classification within thecurriculum:

Mandatory, basics of electronic circuits for industrial and automotivesystems; balanced theoretical and practical contents; offered only atTU Kaiserslautern

Teaching format / classhours per week during thesemester:

2 hours per week lectures, 1 hour per week exercise

Workload: Contact study workload: 42 hrs per term

Self-study workload: 78 hrs per term

Overall workload: 120 hrs per term

Credit points: 4

Recommendedprerequisites:

Basics of semiconductor devices and electronic circuits

Targeted learningoutcomes:

• Understanding of dc-coupled, multi stage circuits with transistor loads

• Mastery of extended analysis methods for multi transistor circuitsbased on basic models (Operating point and ac-analysis)including inherent parasitic capacitances

• Ability to assess and assert the stability of an amplifier circuit byappropriate measures

• Knowledge of relevant specifications and properties of real, i.e.,non-ideal, operational amplifiers

• Mastery of operational amplifier application in circuits withfrequency-dependent feedback-network and time-discrete signalprocessing

• Skills in applying the circuit simulator (PSPICE) for resultvalidation and refinement

Content: • Basics of circuits for and with operational amplifiers

• Extension of the basics of electronic circuits from Electronics I todc-coupled circuits and stages, frequency dependence, andapplication of transistor loads.

• Extended and comparative study of current sources, mirrors,differential amplifiers, inverter and cascode-amplifier stages,follower and push-pull output stages based on bipolar- and MOS-transistors

• Basic circuits for operational amplifiers (OPA) and their application in different OPA circuits

• Stability and compensation of OPA

• Properties and specifications of real OPA

• Time-continuous and time-discrete filters (SC-Filter), analog

switch realizations and sample-and-hold circuits• Digital-to-Analog- and Analog-to-Digital-converters

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• Oszillators and generators

Exam/ Studyachievements:

Oral or written exam

Forms of media: Course-specific webpage with slides, exercise sheets, examcollections, and PSPICE examples

Literature: R.C. Jager, T.N. Blalock: Microelectronic Circuit Design. McGrawHill,2003, ISBN

Ch. Tietze, U. Schenk: Halbleiter-Schaltungstechnik, Springer, 2003,ISBN 3-540-63443-6

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2. Elective Modules

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E 1 (Section Mechanical Engineering)

Module name: Dynamic Vehicle Behaviour 

Fahrzeugschwingunge

Abbreviation: Module No. E1

Semester: 2nd

Module coordinator: Prof. Dr.-Ing. Christian Schindler 

Lecturer: Prof. Dr.-Ing. Christian Schindler 

Language: German

Classification within thecurriculum:

For Diploma and Master Degree Programmes “Fahrzeugtechnik”(Automotive Engineering) as well as for Master Degree “CommercialVehicle Technology” as elective subject.

Teaching format / class

hours per week during thesemester:

13 double-hour lectures, one per week

Workload: Contact study workload: 26 hrs per term

Self-study workload: 64 hrs per termOverall workload: 90 hrs per term

Credit points: 3

Recommendedprerequisites:

Technical mechanics (kinetics) or machine dynamics

Targeted learningoutcomes:

Knowledge of the basics of main vehicle vibrations caused by roadirregularity exitations.

 Ability to create different simple vibration models representing thevehicle for different problems. Ability to describe road irregularities and to handle there influence invehicle dynamics.

Knowledge about the most important transfer functions.Judgement of the dynamic behaviour of a vehicle.

Content: • Introduction

• Single Mass Model

• Harmonic exitations

• Random exitations, spectral power density

• Road irragularities, single obstacles

• Characteristic measures to judge vehicle vibration behaviour • Simple multy body vibration systems

• Special problems, i.e. loading influence etc.Exam/ Studyachievements:

Written or oral examination at the end of each semester   (dependingon the number of examinees)

Forms of media: Power Point Slides combined with sketches on the chalkboard. Slidesprovided via Internet.

Literature: Mitschke; Wallentowitz: Dynamik der KraftfahrzeugeKnothe, Stichel: Schienenfahrzeugdynamikboth Springer Verlag, Berlin

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E 2 (Section Mechanical Engineering)

Module name: Mechatronik

Mechatronics

Abbreviation: Module No. E2

Semester: 2nd

Module coordinator: Prof. Dr.-Ing. Steffen Müller 

Lecturer: Prof. Dr.-Ing. Steffen Müller 

Language: German

Classification within thecurriculum:

For Diploma and Master Degree Programs “Fahrzeugtechnik”(Automotive Engineering) as well as for Master Degree “CommercialVehicle Technology” as elective subject.

Teaching format / classhours per week during thesemester:

26 double-hour lectures, two per week

Workload: Contact study workload: 52 hrs per term

Self-study workload: 128 hrs per termOverall workload: 180 hrs per term

Credit points: 5

Recommendedprerequisites:

Basic knowledge in control, dynamics of machines, electronics andvehicle dynamics

Targeted learningoutcomes:

Knowledge of typical components of a mechatronical system.

Basic understanding of data processing.

 Ability to derive model equations and linear state space controllers.

Knowledge of the basic principles of chassis control systems and their influence on the driving dynamics.

Content: • Actuators

• Sensors

• Signal and process data processing

• Modeling of Multibody Systems

• Trajectory planning

• Control theory

• Examples for mechatronical systems

•  Vertical, lateral and lateral chassis control systems Exam/ Study

achievements:

Written or oral examination at the end of each semester   (depending

on the number of examinees)Forms of media: Chalkboard combined with Power Point Slides. Slides provided via

Internet.

Literature: Heimann, B., Gerth, W. and K. Popp: Mechatronik, Hanser Verlag,2007

W. Bolton: Bausteine mechatronischer Systeme, Pearson Studium,2004.

Further literature and references will be given during the lecture.

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E 3 (Section Mechanical Engineering)

Module name: Schwingfestigkeit

Cyclic Deformation Behaviour 

Abbreviation: Module No. E3Semester: 3rd

Module coordinator: Prof. Dr.-Ing. habil. Dietmar Eifler 

Lecturer: Dr.-Ing. Frank Walther 

Language: Deutsch

Classification within thecurriculum:

Wahlfach im Masterstudiengang CVT

Teaching format 2 Vorlesungen pro Woche

Workload: Vorlesungen: 28 h pro Semester 

Vor- und Nachbereitung: 62 h pro Semester 

Insgesamt: 90 h pro Semester 

Credit points: 3

Recommendedprerequisites:

Grundvorlesungen in der Werkstoffkunde

Targeted learningoutcomes:

Verständnis der Zusammenhänge zwischen Mikrostruktur, mik-rostrukturellen Veränderungen und dem Wechselverformungs-verhalten metallischer Werkstoffe bei einstufiger und betriebsnaher Beanspruchung.

Content: • Schwingfestigkeit metallischer Werkstoffe

Mechanische Werkstoffprüfung,• Charakteristische Kenngrößen der Schwingbeanspruchung

• Einflussgrößen auf das Ermüdungsverhalten

• Moderne Prüf- und Messverfahren: Hysteresis-, Temperatur-,Widerstands- und GMR-Messungen

• Betriebsnahe Beanspruchung

• Beeinflussung der Mikrostruktur durch Materialermüdung,Rissbildung und Rissausbreitung

•  Lebensdauerberechnung bei ein- stufiger und betriebsnaher Beanspruchung 

Exam/ Studyachievements:

Mündliche Prüfung

Forms of media: Powerpoint Folien

Literature: H.-J. Christ: Wechselverformung von Metallen, Springer-Verlag,Berlin

D. Eifler: Schwingfestigkeit von Stählen. In: H.-J. Christ: Ermü-dungsverhalten metallischer Werkstoffe, MATINFO, Frankfurt/Main

M. Klesnil, P. Lukas: Fatigue of Metallic Materials, Elsevier 

 A. J. Mc Evily: Metal Failures: Mechanisms, Analysis, Prevention,John Wiley and Sons

D. Radaj: Ermüdungsfestigkeit, Grundlagen für Leichtbau,Maschinen- und Stahlbau, Springer 

S. Suresh: Fatigue of Materials, Cambridge University Press

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E 4 (Section Mechanical Engineering)

Module name: Virtual Product Engineering of Commercial Vehicles

Virtuelle Produktentwicklung 1

Abbreviation: Module No. E4Semester: 3rd

Module coordinator: Prof. Dr.-Ing. Martin Eigner 

Lecturer: Prof. Dr.-Ing. Martin Eigner 

Research Assistant

Language: German

Classification within thecurriculum:

For Master Degree “Commercial Vehicle Technology”

as elective module

Teaching format / classhours per week during thesemester:

14 double-hour lectures, one per week

Workload: Contact study workload 28 hrs per term

Self-study workload 62 hrs per term

Overall workload 90 hrs per term

Credit points: 3

Recommendedprerequisites:

-

Targeted learningoutcomes:

Knowledge of application of IT solutions in engineering processes.Knowledge about concepts, methods and IT-tools that are state-of-theart in the research field of Virtual Product Engineering (VPE). Abilityto cope with these essential tools that support the work of engineers.

Content: This lecture deals with the application of IT solutions in engineeringprocesses:

• Product Engineering Processes

• Virtual Product Engineering Processes

• Computer Aided Design (mechanical) - CAD

• Computer Aided Manufacturing – CAD/CAM

•  Visualisation and Digital Mockup - VR/AR, DMU Exam/ Studyachievements:

Written examination at the end of each semester.

Forms of media: Power Point Slides.Literature: Technical Literature and References will be announced during the

lecture.

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E 5 (Section Mechanical Engineering)

Module name: Ergonomie und Fahrzeugtechnik

Ergonomics and Vehicle Technology

Abbreviation: Module No. E5Semester: 3rd

Module coordinator: Jun.-Prof. Dr.-Ing. Kerstin Röse

Lecturer: Jun. Prof. Dr.-Ing. Kerstin Röse

 Assistant (tutorial)

Language: English (or German if students prefer)

Classification within thecurriculum: For Master Degree “Commercial Vehicle Technology”

as elective subject.

Teaching format / class

hours per week

14 double-hours lectures, one per week

including 3 times tutorials

Workload: Contact study workload: 34 hrs per term

Self-study workload: 26 hrs per term

Overall workload: 60 hrs per term

Credit points: 3

Recommendedprerequisites:

-

Targeted learningoutcomes:

Knowledge on the state-of-the-art and the general approach of ergonomics and user-centered design.

 Ability to cope with the most established methods of developing user-centic products and systems.Knowledge in an overview on the user-centric design for vehicletechnology, especially user-centric aspects of cockpit-design.

Content: • Introduction, state of the art

• Ergonomics basics

• Introduction into Cognitive Ergonomics

• Classification of user-centerde design approaches

• Introduction and exercise user-centric design methods

• Special requiremenst of cockpit design

• User-centric requiremens for car-cockpits

Exam/ Studyachievements:

Written or oral examination at the end of each semester  

Forms of media: Power Point Slides combined with e-support, offering an e-learning-plattform with additional information and exercises for examinationpreparation.

Literature:Heinsen/ Vogt (Hrsg.): Usability praktisch umsetzen. Hanser-Verlag,

München, 2003.

Jürgensohn, Th.; Timpe, K.-P.(Hrsg.): Kraftfahrzeugführung,

Springer-Verlag, Berlin Heidelberg, 2001.

Raskin, J.: The Human Interface, Addison-Wesley, 3rd Ed., 2001.

Landau, K.: Good Practice, Ergonomia Verlag, Stuttgart, 2003.

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E 6 (Section Mechanical Engineering)

Module name: Fügetechnik in der Fahrzeugtechnik

Abbreviation: Module No. E6

Semester: 2nd

Module coordinator: Juniorprofessor Dr.-Ing. Paul Ludwig Geiß

Lecturer: Juniorprofessor Dr.-Ing. Paul Ludwig Geiß

Language: German (or English)

Classification within thecurriculum:

Teaching format / classhours per week during thesemester:

Two hours lecture per week

Workload: Contact study workload 26 hrs per term

Self-study workload 64 hrs per termOverall workload 90 hrs per term

Credit points: 3

Recommendedprerequisites:

Basics in mechanical engineering

Targeted learningoutcomes:

 Ability to select and to use material-specific lightweight joiningtechnologies for different applications in vehicle construction.

Content: Requirements for joining technologies in vehicle construction,introduction into the systematic structure of joining technologies,mechanical joining, welding, adhesive bonding, hybrid joining, joining

of plastics and FRP-lightweight-materials, fatigue properties of different joining technologies, crash performance of different joiningtechnologies, durability of bonded joints, joining in repair anddisassembling for recycling

Exam/ Studyachievements:

Oral exam

Forms of media: Blackboard, transparencies and paper-handout

Literature: J. Epker: „Nutzfahrzeuge und Technik“, sv corporate media, München(2006)

Koewius, G. Gross, G. Angehm: „Aluminium-Konstruktionen desNutzfahrzeugbaus”, Aluminium-Verlag, Düsseldorf (1990)

G. Buchfink: „Faszination Blech“, Vogel, Würzburg

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E 7 (Section Mechanical Engineering)

Module name: Plastics in Vehicle Technology

Kunststoffe in der Fahrzeugtechnik

Abbreviation: Module No. E7Semester: 3rd

Module coordinator: Prof. Dr.-Ing. Alois Schlarb

Lecturer: Prof. Dr.-Ing. Alois Schlarb

Language: German (or English)

Classification within thecurriculum:

Elective subject for Master course “Commercial Vehicle Technology”with focus on theory of practical application.

Teaching format / classhours per week during thesemester:

13 double-hour lectures, one per week

Workload: Contact study workload 28 hrs per termSelf-study workload 62 hrs per term

Overall workload 90 hrs per term

Credit points: 3

Recommendedprerequisites:

Basic understanding of plastics and mechanical engineering

Targeted learningoutcomes:

Profound knowledge about the application of plastics in vehicletechnology

Content: • State-of-the-art

• Intentions

• Requirements and constraints of application

• Potentials and costs of light weight construction

• Application areas in vehiclesExam/ Studyachievements:

Written or oral examination at the end of the term

Forms of media: Power Point Slides combined with sketches on the chalkboard. Slidesprovided as printout

Literature: SAE: “Plastics for the Automotive Industry”, Hrsg.: SAE 2002, 183 S.

alte ISBN-10: 0768009502, neue ISBN-13: 978-0768009507

Stauber, R. und Vollrath, L.: Plastics in Automotive Engineering. 3Bände (Exterior Applications, Interior Applications, Motor  Applications), Carl Hanser Verlag, München 2007

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E8 (Section Mechanical Engineering)

Module name: Land- und Baumaschinen

 Agricultural and Construction Vehicles

Abbreviation: Module No. E8

Semester: 2nd

Module coordinator: Prof. Dr.-Ing. C. Schindler 

Lecturer: Mr. Meissner (Fa. Terex-Demag), Mr. Pickel (John Deere)

Language: German (English)

Classification within thecurriculum:

Elective für den Masterstudiengang CVT

Teaching format / classhours per week during thesemester:

2 field trips to Terex & Daimler 

14 2-hour lectures (weekly)

Workload: Contact Study Workload: 28 hrs.Self Study Workload: 46 hrs.Field Trip: 16 hrsOverall Workload: 90 hrs.

Credit points: 3

Recommendedprerequisites:

Content of Mandatory 1: “Principles of Commercial VehicleTechnology”

Targeted learningoutcomes:

Students are able to cope with the most established methods of vehicle evaluation according to power demand, load and payload

distribution and steering characteristics.Students have an overview on construction and laying of selected Agricultural and Construction Vehicles, e.g. Classifications, operatingprinciples, requirements on power train and combustion engines,Communication Architecture for process automation.

Content: Basic techniques of selected Agricultural & Construction Vehicles(Construction types of tractors, chassis and gear systems, After-treatment of exhaust gases, Communication architectures, telematics,remote diagnosis, ISO 11783, Precision Farming Systems 

Exam/ Studyachievements:

Written or oral examination at the end of the term

Forms of media: Power Point Slides combined with sketches on the chalkboard.

Literature: Mitschke, Manfred, Wallentowitz, Henning: Dynamik der Kraftfahrzeuge. Reihe: VDI-Buch .4. neu bearb. Aufl., 2004,.,Springer-Verlag, Berlin, Heidelberg, New York, Tokyo, 1997

Eichhorn, H.: Landtechnik. Landwirtschaftliches Lehrbuch. 7. Aufl.,Verlag Eugen Ulmer, Stuttgart, 1999.

Schön, H., u.a.: Die Landwirtschaft: Lehrbuch für Landwirtschafts-schulen. Bd. 3. Landtechnik, Bauwesen: Verfahrenstechnik - Arbeit -Gebäude - Umwelt. 9. Aufl., BLV Verlagsges., München, Wien,Zürich, 1998.

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E9 (Section Mechanical Engineering)

Module name: Durability laod data analysis

Abbreviation: Module No. E 9Semester: 3

Module coordinator: Dr. Klaus Dressler 

Lecturer: Dr. Klaus Dressler 

Language: English (or German if the students prefer)

Classification within thecurriculum:

For Master Degree “Commercial Vehicle Technology”

as elective subject.

Teaching format / classhours per week/ semester 

14 double-hour lectures, one per week

Workload: Contact study workload: 28 hrs per termSelf-study workload: 52 hrs per term

Overall workload: 80 hrs per term

Credit points: 3

Recommendedprerequisites:

Mechanics and machine elements and engineering design or similar 

Targeted learningoutcomes:

Understanding of the process and basic methodology for systemlevel durability engineering, i.p.:

• How to handle usage variability and product variability?

• How to derive appropriate design loading targets for commercial

vehicles?• How to derive loading targets for subsystems and components?

• Concepts of durability testing and durability simulation.

• Load data reduction and analysis methodsContent: § Load data analysis for mechanical systems

§ Load data and durabilityo Stress-strain paths, hystereses, local strain approach

and multiaxiality§ Loading statistics and design targets

o Durability = loading + strengtho Modelling usage variability

§ Amplitude based data reduction methodso Sampling rates, drift / offset / spikeso Rainflow and related counting methods

§ Frequency based data reduction§ Derivation of design load targets§ Load data analysis and system simulation

o Load cascading: MBS system simulationo Invariant loading: how to simulate a new design

when only measurements (inner forces) from the`old´ design are known?

§ From component loads to local stress-strain paths§ FE- based fatigue analysis

Exam/ Studyachievements:

Written or oral examination at the end of each semester (dependingon the number of examinees)

Forms of media: Power Point Slides combined with sketches on the chalkboard.Slides provided via Internet.

Literature: Will be announced in the lecture

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E10 (Section Mechanical Engineering)

Module name: Fahrzeugdynamik - Regelung

Abbreviation: Module No. E 10

Semester: 2

Module coordinator: Prof. Dr.-Ing. S. Müller 

Lecturer: Prof. Dr.-Ing. S. Müller 

Language: Deutsch

Classification within thecurriculum:

For Master Degree “Commercial Vehicle Technology”

as elective subject.

Teaching format / classhours per week/ semester 

14 double-hour lectures, one per week

Workload: Contact study workload: 52 hrs per term

Self-study workload: 128 hrs per term

Overall workload: 180 hrs per term

Credit points: 5

Recommendedprerequisites:

Targeted learningoutcomes:

Content: • Beschreibung des Fahrverhaltens

• fahrdynamische Gütekriterien

• Einflüsse auf das Fahrverhalten

• Längsdynamikregelung

• Querdynamikregelung

• VertikaldynamikregelungExam/ Studyachievements:

Written or oral examination at the end of each semester (dependingon the number of examinees)

Forms of media: Power Point Slides combined with sketches on the chalkboard.Slides provided via Internet.

Literature: Zomotor: Fahrwerktechnik: Fahrverhalten

Mitschke, Wallentowitz: Dynamik der KraftfahrzeugeIsermann, R.: Fahrdynamik Regelung.Kortüm, W., Lugner, P.: Systemdynamik und Regelung von Fzgen.

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E11 (Section Mechanical Engineering)

Module name: Alternative AntriebskonzepteAlternative Drive Concepts

Abbreviation: Module No. E 11Semester: 4Module coordinator: Dr.-Ing. Peter KosackLecturer: Dr.-Ing. Peter KosackLanguage: GermanClassification within thecurriculum:

For Master Degree “Commercial Vehicle Technology”as elective subject.

Teaching format / classhours per week during thesemester:

14 double-hour lectures, mostly one per week, some hoursadditionally as exercise block

Workload: Contact study workload: 28 hrs per termSelf-study workload: 52 hrs per termOverall workload: 80 hrs per term

Credit points: 3

Recommendedprerequisites:

Basics in Powertrain Engineering

Targeted learningoutcomes:

Understanding of the structure of energy generating systems andefficient use of energy in suitable powertrains, i.p.:

• Knowledge of energy supply structures and their qualitycriteria

• How to design a net model of energy converter systems for powertrains

• How to design a control loop model for vehicles• How to handle requirement profiles• How to judge different drives

Content: • Sources of energy and forms of energy• Energy supply structures• Sustainability and ecological footprint• Energetic product life cicle• Net model of energy converter systems• Energy efficiency and energy management in vehicles• Energy storage• Control loop model and functionality of Commercial Vehicles• Requirement profiles for drives• Examples for alternative drives

Exam/ Studyachievements: Written or oral examination at the end of each semester (dependingon the number of examinees)Forms of media: Power Point Slides combined with sketches on the chalkboard. Slides

provided via Internet.Literature: Given in the lecture

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E 12 (Section Computer Science)

Module name: System Description Languages: Synthesis

Systembeschreibungssprachen: Synthese

Abbreviation: Module No. E12Semester: 1st

Module coordinator: Prof. Klaus Schneider 

Lecturer: Prof. Klaus Schneider 

Language: German and English (alternating)

Classification within thecurriculum:

For Master Degree “Commercial Vehicle Technology” as electivesubject.

Teaching format / classhours per week during thesemester:

2 h Lectures + 1 h Exercise

Workload: Contact study workload: 42 hrs per termSelf-study workload: 78 hrs per term

Overall workload: 120 hrs per term

Credit points: 4

Recommendedprerequisites:

-

Targeted learningoutcomes:

 Ability in modelling and programming of parallel and hybrid systems

Skills in Compilation/Synthesis of System Descriptions

Content: • HW/SW-Synthesis of conditional actions

• causality analysis• interfaces and codesign

• operation scheduling

• resource allocation

• resource binding

• design space exploration

Exam/ Studyachievements:

Oral examination

Forms of media: • Blackboard/flipchart/etc.

• Transparencies/beamer/etc.

• Transparencies for downloading (as PDF)

Literature: G. Berry, The Esterel Language Primer, 2000

G. Berry, The Constructive Semantics of Esterel, 1999

N. Halbwachs, Synchronous programming of reactive systems,Kluwer, 1993

Benveniste, P. Caspi, S. Edwards, N. Halbwachs, P. Le Guernic, andR. de Simone, The Synchronous Languages Twelve Years Later,Proceedings of the IEEE, 91(1):64-83, 2003

D. Harel and A. Naamad, The STATEMATE Semantics of Statecharts, ACM Transactions on Software Engenieering Methods,

5(3):293-333, 1996N. Halbwachs, P. Caspi, P. Raymond, and D. Pilaud, TheSynchronous Dataflow Programming Language LUSTRE, IEEE

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Proceedings, 79(9):1305-1320, 1991

S. Palnitkar, Verilog HDL, Prentice Hall, 2003

G. Lehmann, B. Wunder, and M. Selz, Schaltungsdesign mit VHDL:Synthese, Simulation und Dokumentation digitaler Schaltungen,Franzis Verlag, 1994

P.J. Ashenden, VHDL Cookbook, im Internet verfügbar, Stand 1990Modelica: A Unified Object-Oriented Language for Physical SystemsModeling, Tutorial Version 1.4

Internet sources:

www.modelica.org 

www.systemverilog.org 

www.synalp.org 

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E 13 (Section Computer Science)

Module name: System on Chip Design

System on Chip Entwurf 

Abbreviation: Module No. E 13Semester: 3rd

Module coordinator: Prof. Dr.-Ing. Norbert Wehn

Lecturer: Prof. Dr.-Ing. Norbert Wehn

Language: German and English (alternating)

Teaching format / classhours per week during thesemester:

2 h Lecture + 1 h Exercise

Workload: Contact study workload 42 hrs per term

Self-study workload 78 hrs per term

Overall workload 120 hrs per term

Credit points: 4

Recommendedprerequisites:

Basics in electronics, microelectronics and digital systems

Targeted learningoutcomes:

Knowledge in design methods, architectures, verification and systemlevel integration on silicon.

 Ability to Design a system on chip on system level with hardwaredescription language

Content: • Introduction

• System Modeling

• Hardware-Software Codesign

• SoC Verification

• Configurable System on Chip

• Chip Multiprocessors (CMP)

• Network on ChipExam/ Studyachievements:

Oral exam

Forms of media: Transparencies, beamer etc.

Literature: Will be provided in the class

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E 14 (Section Computer Science)

Module name: Autonome Mobile Roboter I & II(AMRI & II)

 Autonome Mobile Roboter I & II(AMRI & II)

Abbreviation: Module No. E 14Semester: 2nd

Module coordinator: Prof. Dr. rer. nat. Karsten Berns

Lecturer: Prof. Dr. rer. nat. Karsten Berns

Language: German

Classification within thecurriculum:

Elective subject for Master course “Commercial Vehicle Technology”

Teaching format / classhours per week during thesemester:

4 h Lecture + 2 h Exercise

Workload: Contact study workload 84 hrs per termSelf-study workload 156 hrs per term

Overall workload 240 hrs per term

Credit points: 8

Recommendedprerequisites:

Basics in Computer Systems and Robotics

Targeted learningoutcomes:

Basic knowledge in the field of autonomous mobile robots.

The following aims should be achieved:

• Kinematics of autonomous mobile robots

Lokalisation and mapping• Concepts fort he development of complex control systems

• Dynamics of autonomous mobile robots

• Lokalisation and mapping

• Advanced sensor systems

• Application of visonContent: • Kinematics of wheel-driven robots

• System components

• Navigation

• Collision avoidance

• Lokalisation and mapping

• Dynamics of wheeled-driven robots• SLAM (Simultaneous Localisation and Mapping)

• Algorithms for the estimation of positions

• Vison in mobile roboticsExam/ Studyachievements:

Oral or written exam

Forms of media: • Transparencies/beamer/etc.

• Transparencies for downloading (as PDF)Literature: R- Siegwart and I.R. Nourbakhsh (2004). Introduction to Autonomous

Mobile Robots. The MIT Press

S. Iyengar and A. Elfes (1991). Autonomous Mobile Robots -Perception, Mapping and Navigation, volume 1. Institute of Electricaland Electronic Engineers

Jones, J. L. (1993). Mobile Robots-From Inspiration to

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Implementation. Addison Wesley.

Concrete literature will be announced in the lecture.

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E 15 (Section Computer Science)

Module name: Verification of Reactive Systems

Verifikation reaktiver Systeme

Abbreviation: Module No. E 15Semester: 3rd

Module coordinator: Prof. Dr. rer. nat. Klaus Schneider 

Lecturer: Prof. Dr. rer. nat. Klaus Schneider 

Language: German and English (alternating)

Classification within thecurriculum:

Elective Module for CVT

Teaching format / classhours per week during thesemester:

4 h Lecture + 2 h Exercise

Workload: Contact study workload 84 hrs per termSelf-study workload 156 hrs per term

Overall workload 240 hrs per term

Credit points: 8

Recommendedprerequisites:

-

Targeted learningoutcomes:

Knowledge about model checking of temporal properties

Understanding of and ability to use verification tools in basicapplications

Content: Model checking procedures and translations for different specificationlogics like:

• temporal logics

•  ω-automata

• µ-calculus

• Accellera's property specification language (PSL; IEEE standard)Moreover, property preserving reductions like symmetry reduction,partial order reductions, and bisimulation reductions are considered.

Exam/ Studyachievements:

Oral exam

Forms of media: • blackboard/flipchart/etc.

• transparencies/beamer/etc.• transparencies for downloading (as PDF)

Literature: E.M. Clarke, O. Grumberg und D. Peled, Model Checking, MITPress, 2000

B. Berard, M. Bidoit, A. Finkel, F. Laroussinie, A. Petit, L. Petrucci, P.Schnoebelen, B. Berard, M. Bidoit, A. Finkel and F. Laroussinie, A.Petit, L. Petrucci und P. Schnoebelen, Systems and SoftwareVerification. Model-Checking Techniques and Tools, Springer, 2001

Schneider K., Verification of Reactive Systems — Formal Methodsand Algorithms, Springer Verlag, 2003

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E 16 (Section Computer Science)

Module name: Bussystems

Bussysteme

Abbreviation: Module No. E 16Semester: 2nd

Module coordinator: Dr.-Ing. habil. Bernd Schürmann

Lecturer: Dr.-Ing. habil. Bernd Schürmann

Language: German

Classification within thecurriculum:

Elective Module for CVT that is practically oriented.

It is an advanced module in the area of Embedded Systems andRobotics.

Teaching format / classhours per week during the

semester:

2 h Lecture + 1 h Exercise

Workload: Contact study workload 39 hrs per term

Self-study workload 81 hrs per term

Overall workload 120 hrs per term

Credit points: 4

Recommendedprerequisites:

Basic knowledge of computers and computer systems

Targeted learningoutcomes:

• Knowledge of data communication via buses and networks.

• Skills to evaluate the performance of bus systems.Content: • Physical basics (signals, sampling, modulation, bus drivers)

• Basics of data communication (communication forms,synchronization, data protection)

• Network topologies

• Communication protocols

• Basics of interfaces and buses (parallel and serial buses,arbitration)

• System buses (requirements, cache coherence, historicaldevelopment)

• Interfaces and peripheral buses

• Computer networks (communication models and devices,examples of LANs and WANs)

• Buses in embedded systems, buses in automotive environmentExam/ Studyachievements:

Oral exam

Forms of media: • transparencies/beamer/etc.

• transparencies for downloading (as PDF)Literature: B. Schürmann, Grundlagen der Rechnerkommunikation, Vieweg-

Verlag, 2004

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E 17 (Section Computer Science)

Module name: Process Modeling

Prozessmodellierung

Abbreviation: Module No. E 17Semester: 2 nd

Module coordinator: Prof. Dr. Dieter Rombach

Lecturer: Prof. Dr. Dieter Rombach, Dr. Münch

Language: German and English (on request)

Classification within thecurriculum:

Teaching format / classhours per week during thesemester:

2h Lecture + 1 h Exercise

Workload: Contact study workload 45 hrs per termSelf-study workload 81 hrs per term

Overall workload 120 hrs per term

Credit points: 4

Recommendedprerequisites:

Foundations of Software Engineering

Targeted learningoutcomes:

Gaining knowledge and capabilities for designing, creating, analyzing, andapplying software development processes

• Becoming acquainted with industrial software development processes

• Independent modeling of software development processes

• Advantages and disadvantages of process modeling techniques

• Applying process models effectively for different purposesContent: • Process Modeling is a specialization field that is practically oriented.The

development and maintenance of commercial vehicles requiresintegrated processes for different disciplines (e.g., mechanics, software).This class focuses on software development processes anddemonstrates their integration with processes of different type in theoverall system development and maintenance process.

• Topics:

• Introduction and classification (objectives, research and applicationareas)

Terminology (process model, role, 4-domain-principle)• Prescriptive process modeling (life cycle models, standards, examples,

assessment criteria, process gates)

• Descriptive process modeling (possible usages, procedure, processelicitation)

• Process modeling notations (Appl/A, Funsoft Nets, Marvel, Statemate,MVP-L, IDEF0, ETVX)

• Process modeling tools (ECMA/NIST reference model, modeling tools,PSSEs, examples)

• Software project planning (effort estimation, schedule planning,personnel planning, sequence planning)

• Project monitoring and management (data collection, visualization of 

metrics)• Other usages (SPI, QIP, ISO 15504, ISO 9000, CMMI, process

simulation)

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• Future developments (agile process documentation, process machines,process patterns)

Exam/ Studyachievements:

Oral or written exam

Forms of media: • transparencies/beamer/etc.

transparencies for downloading (as PDF)Literature: Jean-Claude Derniame, Badara Ali Kaba, David Wastell (Eds.): Software

Process: Principles, Methodology, and Technology. Lecture Notes inComputer Science 1500, Springer, 1999.

Finkelstein, A., Kramer, J., Nuseibeh, B. (eds): Software Process Modellingand Technology. Taunton: Research Studies Press, 1994.

Christian Bunse und Antje von Knethen. Vorgehensmodelle kompakt.Spektrum Akademischer Verlag, Heidelberg, 2002.

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E 18 (Section Computer Science)

Module name: Product Line Engineering

Product Line Engineering

Abbreviation: Module No. E18Semester: 3rd

Module coordinator: Prof. Dr. Dieter Rombach

Lecturer: Prof. Dr. Dieter Rombach, Dr. Muthig

Language: German and English (alternating)

Classification within thecurriculum:

Elective Module for CVT-Masterstudies

Teaching format / classhours per week during thesemester:

2 h Lecture + 1 h Exercise

Workload: Contact study workload 42 hrs per termSelf-study workload 78 hrs per term

Overall workload 120 hrs per term

Credit points: 4

Recommendedprerequisites:

Foundations of Software Engineering

Targeted learningoutcomes:

Transfer of knowledge and education in activities required for asystematic planning and realization of product lines (PL), or respectively software reuse in general.

• Organizational issues (reuse life cycle, migration)

• Definition, development and assessment of product linearchitectures

• Modelling and implementation of generic components

• Analysis of product variants

• Support of software development by reverse engineeringContent: • Basic concepts of product lines (commonality, variability,

decisions)

• Role and concepts of architectures (styles, patterns, andscenarios)

• Implementation technologies (MDA, Preprocessors, aspect-orientend development)

• Technology transfer (Adaptation and adoption of technologies,migration strategies)

• Reverse-Engineering (basic and detailed analyses, reconstructionof architectural views and structures)

• Domain analysis (product map, management of varyingrequirements and system characteristics)

Exam/ Studyachievements:

Oral or written exam

Forms of media: • transparencies/beamer/etc.

• transparencies for downloading (as PDF)

Literature:  Atkinson et. al., Component-based Product Line Engineering with

UML. Addison-Wesley 2001Weiss, Lai: Software Product-Line Engineering. A Family-BasedSoftware Development Process Addison-Wesley, 1999

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Clements: Software Product Lines. Practices and Patterns. Northrop,2002

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E 19 (Section Computer Science)

Module name: Networked Systems

Vernetzte Systeme

Abbreviation: Module No. E19Semester: 3rd

Module coordinator: Prof. Dr.-Ing. Reinhard Gotzhein 

Lecturer: Prof. Dr.-Ing. Reinhard Gotzhein

Language: German

Classification within thecurriculum:

Elective Module for CVT- Master studies

Teaching format / classhours per week during thesemester:

2 Lectures, 1 Exercise

Workload: Contac-study workload: 72 h pro Semester Self-study workload: 78 h pro Semester 

Overall workload: 120 h pro Semester 

Credit points: 4

Recommendedprerequisites:

Basics of Communication Systems

Learning Outcomes Detailed understanding of functions, structure and methods of 

working of networked systems:• distributed applications

• method of working of selected communication technologies

• ad-hoc networks

• systematics of quality of service functionalities

• systematics of routing approaches

• specialized Internet protocols

• security in computer networks

Content • distributed applications (ambient intelligence, multimedia,production automation)

• communication technologies (e.g., ATM, CAN, WLAN)

• quality of service (QoS specification, QoS provision, QoS control,QoS management, QoS mechanisms)

• routing (topology-/position-based, proactive/reactive,adaptive/non-adaptive, unicast/multicast, best effort/QoS,flat/hierarchical, source based/distributed)

• Internet technologies (IPv6, RTP)

• security (firewall, packet filter, application level gateway)Exam/ Studyachievements:

Oral or written exam

Forms of media • transparencies/beamer/etc.

• transparencies for downloading (as PDF)Literature: K. Etschberger: CAN — Grundlagen, Protokolle, Bausteine,

 Anwendungen; Hanser Verlag, 1994

E. Nett, M. Mock, M. Gergeleit: Das drahtlose Ethernet — Der IEEE802.11 Standard: Grundlagen und Anwendung, Addison-Wesley,

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2001

 A. Campbell, C. Aurrecoechea, L. Hauw: A Review of QoS Architectures, ACM Multimedia Systems Journal, Special Issue onQoS Architecture, 1998

C. E. Perkins, P. Bhagwat: Highly Dynamic Destination-Sequenced

Distance-Vector Routing (DSDV) for Mobile Computers, ACMSIGCOMM'94, 1994, pp. 234-244

C. E. Perkins, E. M. Belding-Royer, S. R. Das: Ad hoc On-DemandDistance Vector (AODV) Routing, draft-ietf-manet-aodv-13, Mobile Ad Hoc Networking Working Group, IETF, 2003

S. Chen, K. Nahrstedt: Distributed Quality-of-Service Routing in Ad-Hoc Networks, IEEE Journal on Selected Areas in Communications,Vol. 17, No. 8, 1999, pp. 1-18

S. Deering, R. Hinden: Internet Protocol, Version 6 (IPv6)Specification, IETF RFC 2460, 1998

R. Oppliger: Internet and Intranet Security (2nd Edition), ArtechHouse, 2001

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E 20 (Section Computer Science)

Module name: Sicherheit in verteilten Systemen

Security in distributed systems

Abbreviation: Module No. E 20Semester: 3rd

Module coordinator: Prof. Dr.-Ing. Jens Schmitt

Lecturer: Prof. Dr.-Ing. Jens Schmitt

Language: German and English (alternating)

Classification within thecurriculum:

Elective Module for CVT-Masterstudies

Teaching format / classhours per week during thesemester:

2 Lectures, 1 Exercise

Workload Contact-study workload: 42 h pro Semester Self-study workload: 78 h pro Semester 

Overall workload: 120 h pro Semester 

Credit points: 4

Recommendedprerequisites:

Communications Systems

Targeted learningoutcomes:

Knowledge of theoretical as well as practical aspects of security indistributed systems.

Knowledge of cryptographic fundamentals

 Ability to use cryptographic methods in fixed as well as in wirelessand mobile systems.

Content The goal of this course is to present theoretical as well as practicalaspects of security in distributed systems. Cryptographicfundamentals are explained as much as they are necessary tounderstand their use both in fixed as well as in wireless and mobilesystems. Practical examples are given throughout the course.

Topics:

• History of secure communications

• Symmetric cryptography: DES, 3DES, AES

• Asymmetric cryptography: RSA, Diffie-Hellman, El Gamal

• Cryptographic protocols: Needham-Schroeder, Kerberos, X.509

• Security protocols in the link layer: PPP, EAP, PPTP, L2TP

• Security protocols in the network layer: IPSec

• Security protocols in the transport layer: SSL/TLS, SSH

• Security in mobile systems

• Security in WLAN

• Security in wireless sensor networks

Exam/ Studyachievements:

Oral or written exam

Forms of media: • Transparencies

• Transparencies for Downloading (as PDF)

Literature: G. Schäfer: Netzsicherheit, dpunkt Verlag, 2003.B. Schneier: Applied Cryptography, John Wiley & Sons, 2nd Edition,1996.

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J. Buchmann: Einführung in die Kryptographie, Springer-Verlag,1999.

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E 21 (Section Electrical Engineering)

Module name: Elektrische Antriebstechnik II ( EAT II )

Electrical Drives II

Abbreviation: Module No. E 21Semester: 2nd

Module coordinator: Prof. Dr. G. Huth

Lecturer: Prof. Dr. G. Huth

Language: Deutsch (oder Englisch)

Classification within thecurriculum:

Elective Module for CVT-Masterstudies

Teaching format / classhours per week during thesemester:

2 h Lectures, 1 h Exercise

Workload: Contact study workload: 39 hrs per termSelf-study workload: 81 hrs per term

Overall workload: 120 hrs per term

Credit points: 4

Recommendedprerequisites:

Electrical drive engineering I (M 10)

Targeted learningoutcomes:

• Knowledge of the most important parameters in projectengineering of electrical drive systems

• Ability to project electrical drive systems

• Knowledge of the construction as well as the winding of 

synchronous machines• Mastery in modelling of conventional synchronous machines as a

Vollpolmaschine and as a Schenkelpolmaschine as well asdescription of the stationary behaviour mode

• Mastery in modelling of converter-driven synchronous machinedrives as well as description of the stationary behaviour mode

• Judgement of the start-up and synchronizing of synchronousdrives

• Judgement of the pendulum processes possible withsynchronous machine drives

Content: • Parameters in project engineering of electrical drive systems

Iterative project engineering process• Construction, modelling and stationary behaviour mode of the

Vollpol-synchronous machine

• Construction, modelling and stationary behaviour mode of theSchenkelpol-synchronous machine

• Speed-changeable drives with synchronous machines

• Frequency-controlled synchronous machine

• Stromrichtermotor 

• Field driven synchronous machine

• Drehzahlveränderbare Mehrmotorenantriebe mitpermanentmagneterregten Synchronmotoren sowieReluktanzmotoren

• Start-up and synchronizing process

• Pendulum processes possible with synchronous machine drives

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Exam/ Studyachievements:

Oral exam

Forms of media: Slides and blackboard

Literature: Riefenstahl : Elektrische Antriebstechnik , Teubner 

Simon, Fransua u.a. : Elektrische Maschinen und Antriebssysteme,

ViewegW. Leonhard : Regelung elektrischer Antriebe , Springer 

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E 22 (Section Electrical Engineering)

Alternatively to E18, M8 (Electric Drive Technology) can be chosen as an Elective

Module name: Linear Control

Lineare Regelungen

Abbreviation: Module E 22

Semester: 1 st or   3rd 

Module coordinator: Prof. Dr. S. Liu

Lecturer: Prof. Dr. S. Liu

Language: German and English

Classification within thecurriculum:

Basic lecture with theoretical orientation

Teaching format / classhours per week during thesemester:

3 h Lectures, 1 h Exercise

Workload: Contact study workload: 56 hrs per term

Self-study workload: 94 hrs per term

Overall workload: 150 hrs per term

Credit points: 5

Recommendedprerequisites:

-

Targeted learningoutcomes:

• Understanding and applying the structure and procedure of thefeedback control

• Ability in the analysis of time-continuous and time-discretelydynamic systems in time and frequency domain

• Ability in the systems analysis in the state space

• Mastery in control design methods with the help of the transfer function

• Mastery in control design methods using the state space

• Mastery in model based observer designContent: • Control loop analysis using transfer function

• Control loop analysis using the state space

• Desingning root locus and frequency response characteristics

• Desing of state regulator and state observer  All methods are treated in the time-continuous as well as in the time-discrete case

Exam/ Studyachievements:

Written exam

Forms of media: • Specific website

• Slides (Powerpoint, PDF)

Literature: Lunze: Regelungstechnik 1, Springer Verlag

Shinners: Modern Control System Theory and Design, Wiley, 1998

Franklin/Powell/Emami-Naeini: Feedback Control of DynamicSystems, Prentice Hall International, 2005

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E 23 (Section Electrical Engineering)

Module name: Nichtlineare und Adaptive Regelungen

Nonlinear and adaptive control

Abbreviation: Module No. E23Semester: 2nd 

Module coordinator: Prof. Dr. S. Liu

Lecturer: Prof. Dr. S. Liu

Language: Deutsch/Englisch

Classification within thecurriculum:

Specialization in mechatronics, theoretical orientation

Teaching format / classhours per week during thesemester:

3 h Lectures, 1 h Exercise

Workload: Contact study workload: 52 hrs per termSelf-study workload: 98 hrs per term

Overall workload: 150 hrs per term

Credit points: 5

Recommendedprerequisites:

Linear Control (time continuous and time discrete)

Targeted learningoutcomes:

• Ability to analyse simple nonlinear dynamic systems

• Kenntnisse der klassischen Stabilitätskonzepte für nichtlineareSysteme

• Knowledge and use of the most important synthesis methods for 

the design of nonlinear control units• Knowledge of differential geometric and differential algebraic

methods and there use in designing nonlinear systems

• Knowledge of the most important applications of nonlinear controlsystems

Content: • System analysis using the describing function

• Stabilitätsbetrachtung nach Ljapunow, Popow und HyperstabilitätStability analysis according to Ljapunow, Popow andhyperstability

• Concepts of state liearization and Nulldynamik, nonlinear stateobserving

Flachheitsbasierte steering and controling• Concept of nonlinear model predictive control

Exam/ Studyachievements:

Written or oral exam

Forms of media: Specific websiteSlides (Powerpoint, PDF)

Literature: J.J. E. Slotine/W. Li: Applied nonlinear control, Prentice Hall, 1991,ISBN: 0-13-040890-5

O. Föllinger: Nichtlineare Regelungen, Oldenbourg Verlag, 1993,ISBN: 3-486-22497-2

T. Wey, nichtlineare Regelungssysteme, Teubner Verlag, 2002,

ISBN: 3-519-00395-3

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E 24 (Section Electrical Engineering)

Module name: CAE in control engineering

CAE in der Regelungstechnik

Abbreviation: Module No. E24Semester: 3rd

Module coordinator: Dr.-Ing. C. Tuttas

Lecturer: Prof. Dr.-Ing. S. Liu und Dr.-Ing. C. Tuttas

Language: German or English

Classification within thecurriculum:

Elective Module for CVT-Masterstudies

Teaching format / classhours per week during thesemester:

2 h Lectures, 1 h Exercise

Workload: Contact study workload: 42 hrs per termSelf-study workload: 78 hrs per term

Overall workload: 120 hrs per term

Credit points: 4

Recommendedprerequisites:

Basics in automation

Targeted learningoutcomes:

• Ability to describe dynamic time continuous and time discretesystems simulation ready

• Knowledge about attributs of numerical integration methods

• Ability to use simulation program MATLAB/SIMULINK

• Evaluation of simulation results• Mastery in computer aided control design

• Mastery in computer aided control analysisContent: • Modelling of dynamic systems

• Attributs of numerical integration methods

• Use of simulation program MATLAB/SIMULINK

• Computer aided control analysis using MATLAB/SIMULINK

• Computer aided design in wellknown methods (Bode diagram,root locus) in state design

Exam/ Studyachievements:

Oral or written exam

Forms of media: Overhead beamer or powerpoint slides

Literature: Weinmann: Computerunterstützung für Regelungsaufgaben, Springer Verlag, 1999

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E 25 (Section Electrical Engineering)

Module name: Real-Time Systems and Applications I (RT I)

Echtzeitsysteme und Anwendung I

Abbreviation: Module No. E 25Semester: 2nd

Module coordinator: Prof. Dr. techn. Gerhard Fohler 

Lecturer: Prof. Dr. techn. Gerhard Fohler 

& international experts/ guest lecturers

Language: English

Classification within thecurriculum:

Elective Module for CVT-Masterstudies

Teaching format / classhours per week during the

semester:

2 h/week lectures; 1 h/week laboratory

Workload: Contact-study workload: 39 h per term

Self-study workload: 81 h per term

Overall workload: 120 h per term

Credit points: 4

Recommendedprerequisites:

Programming, algorithms, operating systems, networks, computer architecure

Targeted learningoutcomes:

Understanding of nature of real-time systems; why and how theydiffer from standard computing systems.

Knowledge of the major types of resource allocation schemes andaddresses issues in QoS management.

Content: The course will provide understanding in the nature of real-timesystems and why and how they differ from standard computingsystems. It gives an overview of the major types of resourceallocation schemes, including offline and online, and addressesissues in QoS management.

It is accompanied by a lab.

• Real-time, real-time systems and models, applications

• Types and properties of real-time systems

• Scheduling of single and multiprocessor systems

• Online scheduling of periodic and non periodic activities

• QoS Management, mediaprocessingExam/ Studyachievements:

Written exam

Forms of media: Computer presentation, handouts, webpage

Literature: Paper handouts during lecture.

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E 26 (Section Electrical Engineering)

Module name: Real-Time Systems and Applications II (RT II)

Echtzeitsysteme und Anwendung II

Abbreviation: Module No. E 26Semester: 3rd

Module coordinator: Prof. Dr. techn. Gerhard Fohler 

Lecturer: Prof. Dr. techn. Gerhard Fohler 

& international experts/ guest lecturers

Language: English

Classification within thecurriculum:

Elective Module for CVT-Masterstudies

Teaching format / classhours per week during the

semester:

2 h/week lectures; 1 h/week laboratory

Workload: Contact-study workload: 42 h per term

Self-study workload: 78 h per term

Overall workload: 120 h per term

Credit points: 4

Recommendedprerequisites:

Targeted learningoutcomes:

Deeper understanding of real-time systems issues, especially inapplications ranging from safety critical systems, such as airplanesand cars.

Content: This course will deepen the understanding of real-time systemsissues of the course Real-time Systems I. It will cover additionaltopics, provide relations and deeper understanding between basicissues. It is accompanied by a lab.

 Areas include:

• Off-line scheduling

• Scheduling of multiprocessor systems

• Real-time Networks

• QoS Management

• Real-time mediastreaming

• The international research community, conferences, in addition tothe scientific contents

Brief information about related projects going on at the department.

Exam/ Studyachievements:

Written exam

Forms of media: Computer presentation, handouts, webpage

Literature: Giorgio Buttazzo, "Hard Real-Time Computing Systems: PredictableScheduling Algorithms and Applications".

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E 27 (Section Electrical Engineering)

Module name: Bussysteme in der Automatisierungstechnik (BAT)

Networked Automation Systems

Abbreviation: Module No. E 27Semester: 2nd

Module coordinator: Prof. Dr.-Ing. Jörg Wollert

Lecturer:

Language: Englisch (oder Deutsch)

Classification within thecurriculum:

Beside general knowledge to networks and bus systems in theautomation technology it is also entered especially on systems whichare used in vehicles (CAN, LIN, FlexRay).

The module is application specific.

Teaching format / class

hours per week during thesemester:

2 h Lectures

Workload: Contact study workload: 26 hrs per term

Self-study workload: 64 hrs per term

Overall workload: 90 hrs per term

Credit points: 3

Recommendedprerequisites:

Basics in automation

Targeted learningoutcomes:

• Ability to deal with cross-linked automation problems

• Knowledge in basic structures of AT-network systems

• Knowledge in common bus and network architectures

• Mastery in methods for designing and analysis of distributed AT-systems

• Knowledge in problems of delay, information loss, ressource-sharing and synchronisation

• Knowledge in problems of system reliabilityContent: • Structures of AT-network systems (NAS)

• ISO/OSI-Model and TCP/IP-Model

• Overview in industrial used bus systems and networks

• Ethernet with extensions for industrial systems

• Automotive Networks (CAN, LIN, FlexRay)

• Problems of delay, information loss, ressource-sharing andsynchronisation

• Reliability of AT-systems

• Influences of networking on reliabilityExam/ Studyachievements:

Oral exam

Forms of media: Website, slides

Literature: Selected papers on actual solutions and overview papers onstandard methods are presented on the website

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E 28 (Section Electrical Engineering)

Module name: Fundamentals of Digital Systems

Abbreviation: Module No. E 28

Semester: 1st

 Module coordinator: Prof. Dr. W. Kunz

Lecturer: Dr. M. Wedler 

Language: English

Classification within thecurriculum:

Elective Module within the CVT-Curriculum

Teaching format / classhours per week during thesemester:

Seminar, 2 hours per week, 1 hour excercise

Workload: Contact-study workload: 45 h per term

Self-study study workload: 75 per termOverall workload: 120 per term

Credit points: 4

Requirements under theexamination regulations:

Recommendedprerequisites:

Targeted learningoutcomes:

• Kenntnis der wichtigsten Bauelemente digitaler Schaltungen

• Kenntnis grundlegender Entwurfsprinzipien für digitale Systeme

• Befähigung digitale Systeme durch abstrakte Verhaltensmodelle

(z.B. Automaten) zu modellieren• Verstehen des grundsätzlichen Aufbaus moderner Prozessoren

• Befähigung, Vor- und Nachteile verschiedener Architekturenabzuwägen

Content: • Entwurf und Optimierung von Schaltkreisen und Schaltwerken

• Bauelemente und Funktionseinheiten digitaler Entwürfe

• Von Neumann-Rechner 

• Zahlendarstellung und Arithmetik

• MIPS Befehlssatz

• MIPS Datenpfad und Steuerwerk

• Parallelität auf Befehlsebene

• Speicherhierarchie

Exam/ Studyachievements:

Oral Examination

Forms of media: Website, slides

Literature: Katz, R.: Contemporary Logic Design. Benjamin / Cummings, 2004,

ISBN 8120328140

Patterson; Hennessy: Computer Organization and Design - The

Hardware/Software-Interface. Morgan Kaufmann, 2008

Hennessy; Patterson: Computer Architecture – A Quantitative

 Approach. Morgan Kaufmann, 2006

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E 29 (Section Electrical Engineering)

Module name: Model-based diagnosis in CVT

Modellbasierte Diagnose bei Nutzfahrzeugen

Abbreviation: Module No. E 29Semester: 3rd

Module coordinator: Prof. Dr.-Ing. Steven Liu

Lecturer: Prof. Dr.-Ing. Steven Liu

Language: English/German

Classification within thecurriculum:

Elective Module within the CVT-Curriculum

Teaching format / classhours per week during thesemester:

Seminar, 2 hours per week, winter semester only

Workload: Contact-study workload: 28 h per termSelf-study study workload: 62 per term

Overall workload: 90 per term

Credit points: 3

Requirements under theexamination regulations:

Recommendedprerequisites:

Linear control systems

Targeted learningoutcomes:

The module is especially designed for Commercial vehicles and offerspractical and theoretical knowledge.

First Step to independent research works in the field of model baseddiagnosis in commercial vehicles

Content:

Exam/ Studyachievements:

Seminar work, oral presentation

Forms of media: Website, slides

Literature: Will be announced at the beginning

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E 30a (Section Electrical Engineering)

Module name: Sensorelektronik: Technologie und Entwurf integrierter gemischtanalog-digitaler Schaltungen & Systeme (TESYS)

Sensor Electronics

Abbreviation: Module No. E30a

Semester: 2nd

Module coordinator: Prof. Dr. A. König

Lecturer: Prof. Dr. A. König

Language: German or English

Classification within thecurriculum:

Elective; advanced topic of sensor circuit design for industrial andautomotive systems; balanced theoretical and practical contents;offered only at TU Kaiserslautern

Teaching format / class

hours per week during thesemester:

2 hours lecture and 2 hours computer based exercises per week

Workload: Contact-study workload: 52 h pro Semester 

Self-study workload: 98 h pro Semester 

Overall workload: 150 h pro Semester 

Credit points: 5

Recommendedprerequisites:

Basics of semiconductor devices and electronic circuits, Electronics II

Targeted learningoutcomes:

• Knowledge of the required processes, methods, descriptionapproaches and tools for the computer-aided modelling,

simulation and manufacturing of integrated analog and mixed-signal circuits

• Mastery of the Cadence DFW II IC design system and a commonmanufacturing technology (CMOS, BiCMOS) and design-kit(mixed-mode, mixed-signal)

• Overview of common analog and mixed-signal-circuits andbuilding blocks, their properties, and their integration (layoutdesign)

• Ability of independent realisation of a design project or asubproject in the context of a larger group design (MPC)

Content: • Manufacturing technologies and -methods for integrated circuits(CMOS (bulk, SOI), BiCMOS)

• Device spectrum, process variations, yield, tolerances and soft-faults

• Principles of layout-design for analog and mixed-signal circuits(matched-layout)

• Design methodology and tools of computer-aided design for integrated mixed-signal electronics (Hierarchical design, mixed-mode, mixed-signal, AHDLs)

• Advanced device models (e.g., BSIM-models)

• Enhancement of circuits & building blocks (References etc.)

• Design techniques for applications-specific cells and blocks:selection, sizing, simulation, layout,extraction, post-layout

simulation for application-specific operational amplifiers(OpAmp/OTA), Filters, AD/DA-converters, VCO etc.

• Modelling, design and layout realisation of digital circuits ascomponents in integrated mixed-signal electronics

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• Advanced issues : Noise, analog synthesis, testing,rekonfiguration, eigen- or self calibration, self-monitoring/-repair,adaptation

• Exam/ Studyachievements:

Oral examination based on semester project.

Forms of media: Course-specific web page with slides (ppt/pdf)

Literature: Phillip E. Allen, Douglas R. Holberg, CMOS Analog Circuit Design,Oxford University Press, 2nd ed., 2002R.C. Jaeger, T.N. Blalock: Microelectronic Circuit Design.McGrawHill, 2003, ISBN 007-232099-0Kenneth R. Laker, Willy M.C. Sansen, Design of Analog IntegratedCircuits and Systems, MacGrawHill, 1994.R. Jacob Baker, Harry W. Li, David E. Boyce, CMOS Circuit Design,Layout, and Simulation, IEEE Press, 1998.

Hastings, The Art of Analog Layout, Prentice Hall, 2001Jaeger, Introduction to Microelectronic Fabrication, Prentice Hall 2002

Geiger/Allen/Strader, VLSI Design Techniques for Analog and DigitalCircuitsGrey/Meyer, Analysis and Design of Analog Integrated Circuits

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E 30b (Section Electrical Engineering)

Module name: Sensorelektronik: Herstellungsverfahren und Entwurf integrierter Sensorsysteme (HEIS)

Sensor Electronics

Abbreviation: Module No. E30 b

Semester: 3nd

Module coordinator: Prof. Dr. A. König

Lecturer: Prof. Dr. A. König

Language: German or English

Classification within thecurriculum:

Elective; advanced topic of sensor circuit design for industrial andautomotive systems; balanced theoretical and practical contents;offered only at TU Kaiserslautern

Teaching format / class

hours per week during thesemester:

2 hours lecture and 2 hours computer based exercises per week

Workload: Contact-study workload: 52 h pro Semester 

Self-study workload: 118 h pro Semester 

Overall workload: 170 h pro Semester 

Credit points: 6

Recommendedprerequisites:

Basics of semiconductor devices and electronic circuits, Electronics II

Targeted learningoutcomes:

• Understanding of the required microtechnological processes,methods, descriptions and tools for computer-aided modelling,

simulation and manufacturing of integrated sensor systems• Overview of typical integrated sensor concepts and building

blocks, their corresponding properties and their integration withelectronics

• Conceptual understanding and mastery of a design system(SoftMEMS/Cadence DFW II in conjunction with commonmanufacturing technologies (EUROPRACTICE))

• Ability of the independent realization of an individual designproject or a subproject in the context of a larger group project(MPC/MUMPS)

Content: • Structure and design principles of standard CMOS-compatiblesensors (2D/3D-image sensors, color- and NIR-sensors etc.)

• Sensor architectures and compensation of deviations and cross-sensitivities

• Extension of standard technologies by additional processingsteps, e.g., to achieve pressure- or fingerprint sensors

• Manufacturing technologies and -procedures of silicon-micromaching (Surface- and bulk-micromachining)

• Overview of further common procedures of MEMS/electronics for manufacturing, packaging and system integration

• Scaling - and process issues (yield/tolerances)

• Overview of common integrated sensor cells

• Inspiration from Bionics

• Design methodology and tools of computer-aided design for microsensors/MEMS

• Modelling and simulation techniques (e.g., different energy

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domains, FEM-concept)

• Design concepts for application-specific sensor cells and their integration with elektronics: Selection, sizing, simulation, layout,extraction, post-layout

• Feedback architectures for sensor systems

• Overview of mikroactuators in the context of microsensors

• Energy consumption & supply/self-sufficientMEMS

• (Eigen- or self-)calibration, rekonfiguration, self-monitoring/-repair in integrated sensor system, adaptation,

Exam/ Studyachievements:

Oral examination based on semester project.

Forms of media: Course-specific web page with slides (ppt/pdf)

Literature: Marc J. Madou, Fundamentals of Microfabrication – The Science of Miniaturization, 2nd ed., CRC Press, 2002.

Mohammed Gad-el-Hak, The MEMS-Handbook, CRC Press, 2002.Barth, Humphrey, Secomb (eds.), Sensors and Sensing in Biologyand Engineering, Springer, 2003.M. Kasper, Mikrosystementwurf – Entwurf und Simulation vonMikrosystemen, Springer 2000.T. Elbel, Mikrosensorik - Eine Einführung in Technologie undphysikalische Wirkungsprinzipien von Mikrosensoren, Vieweg, 1996.W. Nachtigall, Kurt G. Blüchel, Bionik – Neue Technologien nach demVorbild der Natur, DVA, 2000.

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E 31 (Section Electrical Engineering)

Module name: Sensor Information Processing

Sensorsignalverarbeitung (SENSIG)

Abbreviation: Module No. E31Semester: 3rd

Module coordinator: Prof. Dr. A. König

Lecturer: Prof. Dr. A. König

Language: German or English

Classification within thecurriculum:

Elective; advanced topic of sensor information processing for industrial and automotive systems, e.g., assistance systems;balanced theoretical and practical contents; offered only at TUKaiserslautern

Teaching format / class

hours per week during thesemester:

2 hours lecture and 2 hours computer based exercises per week

Workload: Contact-study workload: 56 hrs per term

Self-study workload: 94 hrs per term

Overall workload: 150 hrs per term

Credit points: 5

Recommendedprerequisites:

Basics of information and signal processing, measurement andinstrumentation.

Targeted learningoutcomes:

• Understanding of relevant principals and methods from the fieldof Computational Intelligence, in particular for the field of sensor technology

• Mastery of application of selected relevant methods and their configuration in a common design environment (Matlab)

• Ability to design, validate, and optimize complete application-specific system system

• Develop ability to adapt and extend the achievedimplementation to changing needs

• Understanding of interdependence of system solution withavailable, potentially restricted implementation platforms(Sensors/Hardware)

Content: • Basic methods of signal analysis and the computation of 

characteristic and invariant descriptors (features)• Processing of signals from single sensors und homogeneous or 

heterogeneous Sensor-Arrays

• Dimensionality reduction of high-dimensional sensor data bylinear and non-linear methods, e.g. by explicit selection of features

• Methods of cluster analysis

• Methods for multi-dimensional sensor data analysis: projectionand visualisation, fusion

• Methods for classification of sensor data: statistical patternrecognition, artificial neural networks, Methods of rule-based andfuzzy classification Advanced optimization methods for 

parameter- or structure optimization of sensor systems• Relations, dependencies, and optimization potential between

sensor realization, electronics, and algorithmics.

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• New aspects of reliable sensor systems (self-x properties)Exam/ Studyachievements:

Oral examination based on semester project

Forms of media: Course-specific webpage with slides (ppt/pdf) and examples

(Matlab/QuickCog)

Literature: R. Hoffmann, Signalanalyse und Erkennung, Springer 1998, ISBN 3-540-63443-6

S. Haykin, Neural Networks – A Comprehensive Foundation,Prentice Hall, 1998, ISBN 0132733501

K. Fukunaga, Introduction to Statistical Pattern Recognition, Academic Press, 1990, ISBN 0122698517

R. Duda, P. Hart, D. Stork, Pattern Classification, Wiley, 2000, ISBN0471056693

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E 32 (Section Social Sciences)

Module name: Einführung in die Soziologie 

Introduction in Sociology

Abbreviation: Module No. E32Semester: 3 rd

Module coordinator: Prof. Dr. Hajo Weber 

Lecturer: Prof. Dr. Hajo Weber/Rascher 

Language: Deutsch oder Englisch

Classification within thecurriculum:

The module is an Elective Module in CVT. Note: 12 Credits Pointsmust be gained from block “soft skills and social sciences”

Teaching format / classhours per week during thesemester:

2 h Vorlesung+ 1 Übung

Workload: 2. Credits:

Contact-study workload: 42 hrs per term

Self-study workload: 18 hrs per term

Overall workload: 60 hrs per term

3 Credits:

Contact-study workload: 42 hrs per term

Self-study workload: 48 hrs per term

Overall workload: 90 hrs per term

Credit points: 2 (Teilnahme) – 3 (Teilnahme und Hausarbeit)

Recommendedprerequisites:

-

Targeted learningoutcomes:

Fähigkeit, Gesellschaften zu analysieren und soziologische Texte zuverstehen

Content: Die Veranstaltung vermittelt einen Überblick über zentrale Themender systemtheoretischen Soziologie. Die Theorie sozialer Systemestellt gegenwärtig eine der umfassendsten und am weitestenentwickelten Ansätze der Soziologie dar. Behandelt werden:• Entwicklung der Soziologie

• Grundlagen der Theorie sozialer Systeme

• Systemtypen: Gesellschaft, Organisation, Interaktion

• Evolution von Gesellschaften• Gesellschaftliche Funktionssysteme: Politik, Wirtschaft, Erziehung

Cooperation (internationalor industry):

Exam/ Studyachievements:

-

Forms of media: PP-Folien

Literature: Luhmann, N. (1998): Die Gesellschaft der Gesellschaft, 2 Bände,Frankfurt

Luhmann, N. (1987): Soziologische Aufklärung, 4 Bände, Opladen

Luhmann, N. (1997): Die Gesellschaft der Gesellschaft, Frankfurt:Suhrkamp

Luhmann, N. Organisation und Entscheidung, Opladen, 2000

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Schimank, U./Schöneck, M. Hg. (2008) Gesellschaft begreifen.Einladung zur Soziologie, Frankfurt new York

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E 33 (Section Social Sciences)

Module name: Industrielle Beziehungen und Arbeitspolitik 

Industrial Relations and Work Policies

Abbreviation: Module No. E33

Semester: 3rd 

Module coordinator: Prof. Dr. Hajo Weber 

Lecturer: Prof. Dr. Hajo Weber 

Language: Deutsch/ Englisch

Classification within thecurriculum:

The module is an Elective Module in CVT. Note: 12 Credits Pointsmust be gained from block “soft skills and social sciences”

Teaching format / classhours per week during thesemester:

V (2 h)

Workload: 2 Credits:Contact-study workload: 28 hrs per term

Self-study workload: 32 hrs per term

Overall workload: 60 hrs per term

3 Credits:

Contact-study workload: 28 hrs per term

Self-study workload: 62 hrs per term

Overall workload: 90 hrs per term

6 Credits:

Contact-study workload: 28 hrs per termSelf-study workload: 152 hrs per term

Overall workload: 180 hrs per term

Credit points: 2 (Anwesenheit), 3 (Teilnahme & Hausarbeit) 6 (Teilnahme, Referat, Ausarbeitung)

Recommendedprerequisites:

-

Targeted learningoutcomes:

Wissen über die Soziologie industrieller Systeme und die zentralenDimensionen industrieller Systeme.

Content: Die Arbeitsmärkte werden von den Arbeitsmarktparteien(Arbeitgeberverbände, Gewerkschaften) reguliert, Eigenschaftendeutscher und anderer Systeme industrieller Beziehungen werdenebenso thematisiert wie entsprechende Theorien.

Cooperation (internationalor industry):

Exam/ Studyachievements:

-

Forms of media: PP-Folien

Literature: Müller-Jentsch, W.: Einführung in die Soziologie industrieller Beziehungen. Frankfurt/New York, 1983;

Weber, H.: Unternehmerverbände. Intermediäre Organisationen

zwischen Staat, Wirtschaft und Gewerkschaften, Frankfurt/New York,1986.

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E 34 (Section Social Sciences)

Module name: Industriegesellschaften im Vergleich

Industrial Societies: A comparative approach (US, Japan,Germany)

Abbreviation: Module No. E34

Semester: 2nd 

Module coordinator: Prof. Dr. Hajo Weber 

Lecturer: Prof. Dr. Hajo Weber 

Language: English/ German

Classification within thecurriculum:

The module is an Elective Module in CVT. Note: 12 Credits Pointsmust be gained from block “soft skills and social sciences”

Teaching format / classhours per week during the

semester:

V (2 h)

Workload: 2 Credits:

Contact-study workload: 28 hrs per term

Self-study workload: 32 hrs per term

Overall workload: 60 hrs per term

3 Credits:

Contact-study workload: 28 hrs per term

Self-study workload: 62 hrs per term

Overall workload: 90 hrs per term

6 Credits:Contact-study workload: 28 hrs per term

Self-study workload: 152 hrs per term

Overall workload: 180 hrs per term

Credit points: 2 (Anwesenheit), 3 (Teilnahme & Hausarbeit) 6 (Teilnahme, Referat, Ausarbeitung)

Recommendedprerequisites:

-

Targeted learningoutcomes:

Fähigkeit, Gesellschaften vergleichend zu analysieren undUnterschiede und Gemeinsamkeiten in bestimmten sozialenDimensionen zu erkennen.

Content Nach dem Ende des kalten Krieges sehen amerikanische Autorenden Beginn des kalten Friedens heraufziehen: Die USA, Japan undDeutschland ringen um die ökonomische, technische und sozialeVorherrschaft. Die Veranstaltung versucht diesem thematischenKontext aufzuarbeiten. Es wird dabei davon ausgegangen, daß der Wohlstand der Nationen nicht mehr ausschließlich als Folge der Wettbewerbsfähigkeit einzelner Firmen und Industrien verstandenwerden kann. Nationen entwickeln aufgrund ihrer sozialen Struktur unterschiedliche Kapazitäten diesen Wettbewerb zu steuern. Auf der Basis der wirtschaftlichen Strukturen Japans, der USA undDeutschlands werden gesellschaftliche Bedingungen der Erzeugungund Steuerung nationaler Wettbewerbsfähigkeit und aktuelle

Entwicklungen thematisiert.Zu den wirtschaftlichen Strukturen zählen auch die unterschiedlichenorganisatorischen Eigenschaften von Unternehmen. Anhand der aktuellen "lean production"-Diskussion werden unterschiedliche

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Organisationsprinzipien in unterschiedlichen gesellschaftlichen undorganisatorischen Kontexten thematisiert. Damit verbunden ist ein Aufzeigen des intermediären Umfeldes, der Strukturen des Arbeitsmarktes, des Beschäftigungs- und Bildungssystems. Den Abschluß bilden Überlegungen zum Thema Industrie- undTechnologiepolitik.

Exam/ Studyachievements:

-

Forms of media: PP-Folien

Literature:

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E 35 (Section Social Sciences)

Module name: Soziale Dimensionen von Produktionssystemen 

Social Dimensions of Production Systems

Abbreviation: Module No. E35Semester: 3 rd

Module coordinator: Prof. Dr. Hajo Weber 

Lecturer: Dr. Martina Wegge

Language: English (German)

Classification within thecurriculum:

The module is an Elective Module in CVT. Note: 12 Credits Pointsmust be gained from block “soft skills and social sciences”

Teaching format / classhours per week during thesemester:

V (2h)

Workload: 2 Credits:Contact-study workload: 28 hrs per term

Self-study workload: 32 hrs per term

Overall workload: 60 hrs per term

3 Credits:

Contact-study workload: 28 hrs per term

Self-study workload: 62 hrs per term

Overall workload: 90 hrs per term

6 Credits:

Contact-study workload: 28 hrs per termSelf-study workload: 152 hrs per term

Overall workload: 180 hrs per term

Credit points: 2 (Anwesenheit), 3 (Teilnahme & Hausarbeit) 6 (Teilnahme, Referat, Ausarbeitung)

Recommendedprerequisites:

-

Targeted learningoutcomes:

Identifikation der Eigenschaften zentraler gesellschaftlicher Produktionssysteme

Content Die gegenwärtige Reorganisation in einer Vielzahl von

Wirtschaftsbetrieben orientiert sich an Konzepten der Produktion,etwa dem Toyota Produktionssystem. Die Veranstaltung führt in diezentralen Fragestellungen ein.

Exam/ Studyachievements:

Forms of media: PP-Folien

Literature: Liker, K. (2007) der Toyota Weg. 14 Managementprinzipien desweltweit erfolgreichsten Automobilkonzerns, München 2. AuflageWomack, J.P./ Jones, D.T./Roos, D. (1992) Die zweite Revolution inder Autoindustrie. Konsequenzen aus der weltweiten Studie aus demMassachusetts Institute of Technology (5. Aufl.); Frankfurt/New York:Campus

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E 36 (Section Social Sciences)

Module name: Paradigms of Production – Craft – Mass – Lean Production

Produktionsparadigmen im Vergleich: Craft-Mass-Lean Production

Abbreviation: Module No. E 36Semester: 2nd/ 4nd (summer term)

Module coordinator: Prof. Dr. Hajo Weber 

Lecturer: Prof. Dr. Hajo Weber 

Language: English (German)

Classification within thecurriculum:

The module is an Elective Module in CVT.

Note: 12 Credits Points must be gained from block “soft skills andsocial sciences”

Teaching format / classhours per week during the

semester:

14 double hour courses, one per week

Workload: Contact-study workload: 26 h per term

Self-study workload: 64 hrs per term

Overall workload: 90 hrs per term

Credit points: 3

Recommendedprerequisites:

-

Targeted learningoutcomes:

The comparison of production systems is the aim. Students getknowledge about the different dimensions of production paradigms.

Competences: Management of dimensions of production paradigms

Content:

Exam/ Studyachievements:

oral exam

Forms of media: Slides

Literature: • wird in der Vorlesung bekannt gegeben

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E 37 (Section Social Sciences)

Module name: Organisationssoziologie 

Organizational Sociology

Abbreviation: Module No. 37Semester: 2nd

Module coordinator: Prof. Dr. Hajo Weber 

Lecturer: Prof. Dr. Hajo Weber 

Language: Deutsch/ Englisch

Classification within thecurriculum:

The module is an Elective Module in CVT. Note: 12 Credits Pointsmust be gained from block “soft skills and social sciences”

Teaching format / classhours per week during thesemester:

V (2h)

Workload: 2 Credits:Contact-study workload: 28 hrs per term

Self-study workload: 32 hrs per term

Overall workload: 60 hrs per term

3 Credits:

Contact-study workload: 28 hrs per term

Self-study workload: 62 hrs per term

Overall workload: 90 hrs per term

6 Credits:

Contact-study workload: 28 hrs per termSelf-study workload: 152 hrs per term

Overall workload: 180 hrs per term

Credit points: 2 (Anwesenheit), 3 (Teilnahme & Hausarbeit) 6 (Teilnahme, Referat, Ausarbeitung)

Recommendedprerequisites:

-

Targeted learningoutcomes:

Fähigkeit, Organisationstheorien anzuwenden

Content: In der Wirtschaft und Erziehung - aber auch in anderen

gesellschaftlichen Bereichen - erfüllen Organisationen bedeutendeFunktionen. Die Veranstaltung führt in zentrale Themen der Soziologie der Organisationen ein. Schulen Betriebe als spezifischeOrganisationen werden besonders thematisiert.

Cooperation (internationalor industry):

Exam/ Studyachievements:

Forms of media: PP-Folien

Literature: Wird in der Vorlesung bekanntgegeben

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E 38a/b (Section Social Sciences)

Module name: Innovation Management: Idea – Invention – Innovation:

A: Innovation Management

B: Patent Laws & TrademarksAbbreviation: Module No. E 38 a/b

Semester: 3 rd

Module coordinator: Prof. Dr. Wolfgang Neuser 

Lecturer: Dr. Cornelia Blau

Language: English

Classification within thecurriculum:

The module is an Elective Module in CVT. Note: 12 Credits Pointsmust be gained from block “social sciences”

Teaching format 1 hour lecture/seminar per week

Workload: Contact study workload: 13 hrs per semester 

Self-study workload: 22 hrs per semester Overall workload: 45 hrs per semester 

Credit points: 2 (per course)

Recommendedprerequisites:

none

Targeted learningoutcomes:

• Introduction of the importance of innovation

• View of national and international innovation activity andimportant definitions of innovation management.

• Comprehension of the rich compound and of run innovationprocesses

• Knowledge of innovation processes in enterprises

Knowledge of the importance of patents and trademarks withinthe process of innovation incl. their investigation in databases

• Knowledge of innovation strategies

• Learning how to stimulate and evaluate ideas

Content: • Introduction in the management of innovation: basics anddefinitions

• Managerial Function in Innovation Processes: Enable Innovation

• Creativity techniques on selected examples

• National and international intellectual property (IP-) rights (likepatents, utility models, trade marks and industrial designs)

Exam/ Studyachievements: oral or written examination

Teaching methods:  Activity (Aktionsform): descriptive, developing, exploratory learning,impulse-settings and inquiring-developments (e.g. lectures, talks (bythe students), demonstration, question- and media-impulse,discussion)

Social (Sozialform): lecture-style teaching, individual work, pair work,team work

Forms of media: Teaching aids: handouts, checklists, lesson sheets, work sheets,lecture notes

Media: speech, PowerPoint-presentation, transparencies, internet,copies, video, black board, flip chart, workshop material

Literature: Literature and information according the lectures via internet.Harvard Business manager 

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E 39 (Section Social Sciences)

Module name: Leadership and Human Resource Management

Führungsverhalten und Personalmanagement

Abbreviation: Module No. E39Semester: 2nd

Module coordinator: Prof. Dr. Hajo Weber 

Lecturer: Ingolf Rascher 

Language: English or German

Classification within thecurriculum:

For all degree programs in which the module is taught (includingthose being discontinued), indicate the degree program, area of specialization (where applicable), compulsory/optional, semester 

Teaching format / classhours per week during the

semester:

14 double hour courses

Workload: Contact study workload: 26 hrs per term

Self-study workload: 64 hrs per term

Overall workload: 90 hrs per term

Credit points: 3

Recommendedprerequisites:

-

Targeted learningoutcomes:

Besides normal organizations students gain knowledge on theorganization of projects and events. Secondly the get knowledge of the human resource management and leadership.

Competences: Management of Projects, Events and HumanResources

Content

Exam/ Studyachievements:

oral exam

Forms of media: Slides

Literature: To be announced in lecture

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E 40 (Section Social Sciences)

Module name: Wissensmanagement  

Knowledge Management: Theories and Applications

Abbreviation: Module No. 40Semester: 3 rd (winter term)

Module coordinator: Prof. Dr. Hajo Weber 

Lecturer: Ingolf Rascher 

Language: Englisch/ Deutsch

Classification within thecurriculum:

The module is an Elective Module in CVT. Note: 12 Credits Pointsmust be gained from block “soft skills and social sciences”

Teaching format / classhours per week during thesemester:

V (2 h)

Workload: 2 Credits:Contact-study workload: 28 hrs per term

Self-study workload: 32 hrs per term

Overall workload: 60 hrs per term

3 Credits:

Contact-study workload: 28 hrs per term

Self-study workload: 62 hrs per term

Overall workload: 90 hrs per term

6 Credits:

Contact-study workload: 28 hrs per termSelf-study workload: 152 hrs per term

Overall workload: 180 hrs per term

Credit points: 2 (Anwesenheit), 3 (Teilnahme & Hausarbeit) 6 (Teilnahme, Referat, Ausarbeitung)

Recommendedprerequisites:

-

Targeted learningoutcomes:

Fähigkeit, die verschiedenen Aspekte des Wissensmanagements zuverstehen und anzuwenden

Content: Verteilung, Organisation und Aufbereitung von Wissen in

Organisation und GesellschaftExam/ Studyachievements:

-

Forms of media: PP-Folien

Literature: Nonaka, Ikujiro/Takeuchi, Hirotaka (1997): Die Organisation desWissens, Frankfurt am Mein.

North, Klaus/Romhardt, Kai/Probst, Gilbert (2000):Wissensgemeinschaften - Keimzellen lebendigenWissensmanagements. In: io-management 7/8.

Schreyögg, Georg (Hrsg.): Wissen in Unternehmen, Berlin.Wilkesmann, Uwe/Rascher, Ingolf (2002): Lässt sich wissen durch

Datenbanken managen? In: Edeling, Thomas/Jann, Werner/Wagner,Dieter (Hrsg.): Wissenssteuerung und Wissensmanagement in Politik,Wirtschaft und Verwaltung, Opladen.

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Willke, H. (2001): Systemisches Wissensmanagement. Stuttgart.

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E 41 (Section Social Sciences)

Module name: Geschichte des abendländischen Denkens

Abbreviation: Module No. E41

Semester: 3rd

Module coordinator: Prof. Dr. Wolfgang Neuser 

Lecturer: Prof. Dr. Wolfgang Neuser 

Language: German

Classification within thecurriculum:

The module is an Elective Module in CVT. Note: 12 Credits Pointsmust be gained from block “soft skills and social sciences”

Teaching format / classhours per week during thesemester:

Modifizierte Vorlesung/Seminar 2 SWS

Workload: Vorlesungen und Übungen: 28 h pro Semester 

Vor- und Nachbereitung: 62 h pro Semester Insgesamt: 90 h pro Semester 

Credit points: 3

Recommendedprerequisites:

-

Targeted learningoutcomes:

Fähigkeit, Kulturdifferenzen/Denkkonzeptentwicklung in historischenund unter gesellschaftlichen Kontexten zu beurteilen.

Content: In Geschichte des abendländischen Denkens (oder der Philosophie),versuche ich in vier Semestern eine Modellierung desabendländischen Denkens von der Antike bis zur Gegenwart. JedesSemester bezieht sich auf eine bestimmte historische Epoche und istso konzipiert, dass Zuhörer auch dann erfolgreich teilnehmen können,wenn sie nur ein Semester oder zwei in diese Veranstaltunginvestieren wollen. Ziel ist es, hier am historischen Beispiel zu sehen,unter welchen (systematischen) Bedingungen welche Gedankenmöglich sind und welche nicht. Ziel ist es ein Instrumentarium zuerarbeiten, um auf die Grenzen der Denkmöglichkeiten unseresKulturkreises reflektieren zu können, und damit zum einen einkritisches Kontrollinstrument für das eigene Denken zu haben, alsauch beurteilen zu können, wie innovatives Denken in unserer Zeitmöglich ist.

Exam/ Studyachievements:

oral exam

Forms of media: Slides

Literature: Eigene Skripte/Philosophiegeschichten

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E 42 (Section Social Sciences)

Module name: Technik und Gesellschaft

Abbreviation: Module No. E42

Semester: 3 rd

Module coordinator: Prof. Dr. Wolfgang Neuser 

Lecturer: Prof. Dr. Wolfgang Neuser 

Language: German

Classification within thecurriculum:

The module is an Elective Module in CVT. Note: 12 Credits Pointsmust be gained from block “soft skills and social sciences”

Teaching format / classhours per week during thesemester:

Modifizierte Vorlesung/Seminar 2 SWS

Workload: Vorlesungen und Übungen: 28 h pro Semester 

Vor- und Nachbereitung: 62 h pro Semester Insgesamt: 90 h pro Semester 

Credit points: 3

Recommendedprerequisites:

-

Targeted learningoutcomes:

Gesellschaftliche und kulturelle Standortbestimmung der Technikwissenschaften

Content: In dieser Veranstaltung werden unter dem Gesichtspunkttheoretischer und praktischer Philosophie sowohl die wissenschafts-theoretischen als auch wissenschaftshistorischen Aspekte einer Reflexion auf die kulturellen Voraussetzungen und Konsequenzen der 

Informatik bedacht und eine Einführung in ethische Überlegungen,sowie sie das Berufsbild des Technikwissensschaftlers betreffen,dargelegt.

Die Veranstaltung bezieht sich auf den Gegenstand der Technik-Wissenschaften, so dass Technikfolgeabschätzungen behandeltwerden, die den Studierenden eine gesellschaftliche und kulturelleStandortbestimmung ihres Berufs ermöglichen..

Exam/ Studyachievements:

oral exam

Forms of media: Slides

Literature: Eigene Skripte/Philosophiegeschichten

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E 43 (Section Social Sciences)

Module name: Business ethics and ethical entrepreneurialism

Wirtschaftsethik

Abbreviation: Modul No. E43

Semester: 2 nd 

Module coordinator: Prof. Dr. Wolfgang Neuser 

Lecturer: Dr. Becker 

Language: English or German

Classification within thecurriculum:

The module is an Elective Module in CVT. Note: 12 Credits Pointsmust be gained from block “soft skills and social sciences”

Teaching format / classhours per week during thesemester:

Modifizierte Vorlesung, 2 SWS

Workload: Vorlesungen und Übungen: 26 h pro Semester Vor- und Nachbereitung: 64 h pro Semester 

Insgesamt: 90 h pro Semester 

Credit points: 3

Recommendedprerequisites:

Targeted learningoutcomes:

Begründetes und kunstgerechtes ethisches Handelnkönnen

Content: Die Veranstaltung befasst sich mit Entwürfen der Wirtschafts- undUnternehmensethik. Aktuelle Ansätze werden vor dem Hintergrundder Geschichte des ökonomischen Denkens und der Tradition der philosophischen Ethik kritisch diskutiert.

Neben Begriffsdifferenzierungen werden die Aufgaben einer wissenschaftlich orientierten Ethik und die rational kontrollierbaren Argumentationsstrategien gelehrt.

Gegenstand sind unter anderem Texte von Aristoteles, Smith undRobbins sowie die Wirtschafts- bzw. Unternehmensethik vonHomann, Steinmann/ Löhr und Wieland.

Exam/ Studyachievements:

oral exam

Forms of media: Slides

Literature: wird in der Vorlesung bekannt gegeben

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3. Laboratories and Project Work

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L 1

Module name: Project „Commercial Vehicle Technology“

(University or Industry Internship)

Abbreviation: L1

Semester: 3rd 

Module coordinator: Student must find a professor among the three faculties willing tosupervise the project work

Lecturer: -

Language: -

Classification within thecurriculum:

The project work is mandatory for all master students. For studentsfrom Germany, Austria, Switzerland or Luxemburg it is recommendedto combine this work with an internship or a study term in a foreigncountry.

Teaching format / classhours per week during thesemester:

Self studies or project work.

Workload: 4 Months á 75 hrs, overall workload 300 hrs

Credit points: 10

Recommendedprerequisites:

Can be started at any time if at least 50 CP are gained

Targeted learningoutcomes:

Student shows his/her ability to work under direction of a professor or assistant on an engineering task and is able to solve it.

Content: Small Engineering project of manageable size.

Cooperation (internationalor industry): Working on an industry project under supervision of a professor (Company should be part of CVT industry)

Project at one of the Partner Universities

Exam/ Studyachievements:

Technical written documentation on project planning, work andoutput.

Forms of media: -

Literature: -

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L 2

Module name: Master Thesis

Abbreviation: L2

Semester: 4th earliestModule coordinator: Student must find a professor among the three engineering faculties

willing to supervise the master thesis

Lecturer: -

Language: -

Classification within thecurriculum:

The master thesis is mandatory for all master students.

Teaching format / classhours per week during thesemester:

Self studies or project work.

Workload: 6 Months á 150 hrs, overall workload 900 hrsCredit points: 30

Recommendedprerequisites:

Can be started at any time if at least 83 CP are gained

Targeted learningoutcomes:

Student shows his/her ability to work autonomously to a large extentunder direction of a professor or assistant on an engineering task andis able to solve it.

Content: Engineering project of manageable size.

Cooperation (internationalor industry):

Working on an industry project under supervision of a professor ispossible. Company should be part of CVT industry.

Exam/ Studyachievements: Technical written documentation on project planning, work andoutput.

Oral presentation of the project

Forms of media: -

Literature: -

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4. Supplementary Modules

(Fächer zur Ergänzung fehlender Grundlagen)

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P 1

Module name: German Language Course (DSI-Course)

Abbreviation: Module P 1

Semester: 1st & 2nd

Module coordinator: Dr.-Ing. P. Memar (International School for Graduate Studies)

Lecturer: Inka Claussen

Language: German

Classification within thecurriculum:

Mandatory module in the first two semesters

Teaching format / classhours per week during thesemester:

Intensive Language and Orientation Course (incl. Lectures, Exercisesand Laboratories).

Intensive course (6-8 weeks) in summer or spring previous to the startof the lectures.

The course is continued during the lecture period (1st and 2ndsemester).

Workload:  Approx. 300 hrs

Credit points:

Recommendedprerequisites:

None. The courses are offered in different levels.

Targeted learningoutcomes:

Students should acquire a basic knowledge of the German language

Content: • Intensive German Language course (especially designed for international Graduates)

• Cultural and social activities

• Support in administrative issues

Cooperation (internationalor industry):

Exam/ Studyachievements:

DSI – exam (Deutsche Sprachprüfung für Studierende ininternationalen Studiengängen) after the 2nd semester.

The accomplishment of the DSI-exam is a precondition for continuingthe study course.

Forms of media:

Literature: Will be handed out in the course

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P 2

Module name: Elektrotechnik für Maschinenbauer I

Abbreviation: Module No. P 2

Semester:

Module coordinator: Prof. Dr.-Ing. Paul Weiß

Lecturer: Prof. Dr.-Ing. Paul Weiß

Language:

Classification within thecurriculum:

Supplementary Module

Teaching format / classhours per week during thesemester:

2 Vorlesungen + 1 Übung

Workload: Vorlesungen & Übungen: 42 h pro Semester 

Vor- und Nachbereitung: 78 h pro Semester 

Insgesamt: 120 h pro Semester 

Credit points: 4 (if exchanged with a mandatory subject in coordination with thementor)

Recommendedprerequisites:

Targeted learningoutcomes:

Content:

Cooperation (international

or industry):

Exam/ Studyachievements:

Forms of media:

Literature:

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P 3

Module name: Elemente der technischen Mechanik I

Abbreviation: Module No. P 3

Semester: 1st (winter)Module coordinator: Dr.-Ing. Franz-Josef Barth

Lecturer: Dr.-Ing. Franz-Josef Barth

Language: German

Classification within thecurriculum:

Prep Course for students without a degree in mechanical engineeringor similar 

Teaching format / classhours per week during thesemester:

3 Vorlesungen + 1 Übung

Workload: Vorlesungen & Übungen: 56 h pro Semester 

Vor- und Nachbereitung: 94 h pro Semester 

Insgesamt: 150 h pro Semester 

Credit points: 5 (if exchanged with a mandatory subject in coordination with thementor)

Recommendedprerequisites:

Basics in mechanical enineering

Targeted learningoutcomes:

Sicheres Beherrschen der Stereostatik

Content: Stereostatik:

• Kräfte und Momente

• Zentrale und nichtzentrale Kräftesysteme

• Mittelpunkte

• Kinematische und statische Bestimmtheit

• Schnittgrößen

• Haftung und Reibung

• Prinzip der virtuellen Verschiebungen.

Cooperation (internationalor industry):

-

Exam/ Study

achievements:

Klausur 

Forms of media: Slides, PDF

Literature: P. Hagedorn: Technische Mechanik, Bd. 1, Statik, Verlag Harry

Deutsch

D. Gross, W. Hauger, W. Schnell: Technische

Mechanik, Bd. 1, Statik, Springer Verlag

O. Bruhns, Th. Lehmann: Elemente der Mechanik I, Vieweg Verlag;Wriggers,

Nackenhorst u.a.: Technische Mechanik kompakt, Teubner 

Verlag

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P 4

Module name: Elemente der Technischen Mechanik II

Abbreviation: Module No. P 4

Semester: 2nd Module coordinator: Dr.-Ing. Franz-Josef Barth

Lecturer: 2 Vorlesungen + 2 Übungen

Language: Deutsch

Classification within thecurriculum:

Prep Course for students without a degree in mechanical engineeringor similar 

Teaching format / classhours per week during thesemester:

Vorlesungen & Übungen

Workload: Vorlesungen & Übungen: 52 h pro Semester 

Vor- und Nachbereitung: 98 h pro Semester 

Insgesamt: 150 h pro Semester 

Credit points: 5 (if exchanged with a mandatory subject in coordination with thementor)

Recommendedprerequisites:

Grundvorlesung Technische Mechanik I. (P 3)

Targeted learningoutcomes:

Sicheres Beherrschen der Elastostatik

Content: Elastostatik:

• Spannungen

• Verzerrungen

• Hookesches Gesetz

• Flächenträgheitsmomente

• Gerade und Schiefe Balkenbiegung

• Querkraftschub

• Torsion

• Energiemethoden

Cooperation (internationalor industry):

-

Exam/ Studyachievements:

Klausur 

Forms of media: Slides, PDF

Literature: Schnell, Gross, Hauger: Technische Mechanik, Bd. 2

Elastostatik, Springer Verlag

P. Hagedorn: Festigkeitslehre, Harri Deutsch Verlag

O. Bruhns, Th. Lehmann: Elemente der Mechanik II, Vieweg Verlag

Wriggers, Nackenhorst u.a.: Technische Mechanik kompakt, Teubner Verlag

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P 5

Module name: Projective Geometry and Technical Drawing 

Darstellende Geometrie und technisches Zeichnen für Hörer anderer 

FachrichtungenAbbreviation: Module No. P 5

Semester: 1st 

Module coordinator: Prof. Dr.-Ing. Christian Schindler 

Lecturer: Prof. Dr.-Ing. Christian Schindler 

Language: German

Classification within thecurriculum:

Prep Course for students without a degree in mechanical engineeringor similar 

Teaching format / classhours per week during the

semester:

8 double hrs lessons + 8 double hrs exercise

Workload: Contact-study workload: 32 h pro Semester 

Self-study workload: 88 h pro Semester 

Overall workload: 120 h pro Semester 

Credit points: 4

Recommendedprerequisites:

-

Targeted learningoutcomes:

 Ability to create and read technical drawings.

Content: • projective geometry (projections, cuts, blanks, penetration)

• technical drawing (types of drawings, contents –and creation withrespect to the actual norms)

Cooperation (internationalor industry):

-

Exam/ Studyachievements:

certificate

Forms of media: Power point slides, chalk board

Literature: Fucke, Kirch, Nickel: Darstellende Geometrie, 16. Aufl. (2004)Fachbuchverlag Leipzig

Hesser, Hoischen: Technisches Zeichnen, 30. Aufl., (2005) CornelsenVerlag

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P 6

Module name: Maschinenelemente für Hörer anderer Fachrichtungen

Abbreviation: Module No. P 6

Semester: 2ndModule coordinator: N.N. (Neuer Kollege Messtechnik)

Lecturer: N.N.

Language: German

Classification within thecurriculum:

Prep Course for students without a degree in mechanical engineeringor similar 

Teaching format / classhours per week during thesemester:

2 Vorlesungen + 2 Übungen

Workload: Vorlesungen & Übungen: 52 h pro Semester 

Vor- und Nachbereitung: 98 h pro Semester 

Insgesamt: 150 h pro Semester 

Credit points: 5

Recommendedprerequisites:

Darstellende Geometrie und technisches Zeichnen für Hörer anderer Fachrichtungen

Targeted learningoutcomes:

Kenntnis und Anwendung typischer Maschinenelemente

Content: • Normen

• Verbindungen (Form-, Kraft-, Stoff-, Schraub-)

Federn (Energiespeicher, Kraft- und Wegerzeuger, Klemm- undMessfedern)

• Reibung und Schmierung

• Lager (Wälz-, Hydro-, Reib- und Sonderlager)

• Getriebe

• Kupplungen.

Cooperation (internationalor industry):

-

Exam/ Studyachievements:

certificate

Forms of media: Tafel, Folien; Beamer Literature: Niemann: Maschinenelemente 1 und 2, Springer Verlag; Köhler,

Rögnitz: Maschinenteile 1 und 2, Teubner.

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P 7

Module name: Programmentwicklung II für Hörer anderer Fachrichtungen

Abbreviation: Module No. P 7

Semester: 2nd

 Module coordinator: Dr. Bauer

Lecturer: Dr. Bauer

Language: German

Classification within thecurriculum:

Prep Course for students without a degree in computer science or similar 

Teaching format 2 Vorlesungen + 2 Übungen

Workload: Vorlesungen & Übungen: 56 h pro Semester 

Vor- und Nachbereitung: 94 h pro Semester 

Insgesamt: 150 h pro Semester 

Credit points: 5

Recommendedprerequisites:

Grundkenntnisse im Programmieren

Targeted learningoutcomes:

Die Studenten erhalten einen Überblick über Datenstrukturen und denEntwurf sowie die Analyse von effizienten Algorithmen und sieerwerben die Fähigkeit, diese Algorithmen zu implementieren.

Content: Die Vorlesung behandelt

• Datenstrukturen ( Listen, Stapel, Bäume, Graphen ,..)

• Entwurfsverfahren für effiziente Algorithmen ( Teilen & Herrschen,dyn. Programmieren, Greedy Method, Sortierverfahren)

Analyse von AlgorithmenDie Darstellung erfolgt unabhängig von einer konkretenProgrammiersprache; die Beispiele sind in Java.

Cooperation (internationalor industry):

-

Exam/ Studyachievements:

- Lösung von Übungsaufgaben (Zulassungsvoraussetzung)

- schriftliche Abschlussprüfung

Forms of media: Tafel, Folien; Beamer; Folien im pdf-Format zum Download

Literature:  Aho, A.; Hopcroft, J.; Ullman,J.; The Design And Analysis Of Computer Algorithms; Addison-Wesley Publishing Company; 1975

Brassard,G.; Bratley, P.; Fundamentals of Algorithms; Prentice-Hall

1996Ottmann, T; Widmayer,P.; Algorithmen und Datenstrukturen;Spektrum Akademischer Verlag 1996

Schöning, Uwe; Algorithmen — kurz gefasst; Spektrum Akademischer Verlag 1997

Schöning, Uwe; Algorithmik; Spektrum Akademischer Verlag 2001

Sedgewick, Robert; Algorithmen; Addison-Wesley PublishingCompany; 1991

N. Wirth; Algorithmen und Datenstrukturen; Teubner Studienbücher;1975

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P 8

Module name: Einführung in die Informatik für Hörer anderer Fachrichtungen

Abbreviation: Module No. P 8

Semester: 2nd

 Module coordinator: Dr. Kirchner

Lecturer: Dr. Kirchner

Language: German

Classification within thecurriculum:

Prep Course for students without a degree in computer science or similar 

Teaching format / classhours per week during thesemester:

2 Vorlesungen + 1 Übungen

Workload: Vorlesungen & Übungen: 42 h pro Semester 

Vor- und Nachbereitung: 78 h pro Semester Insgesamt: 120 h pro Semester 

Credit points: 4

Recommendedprerequisites:

-

Targeted learningoutcomes:

Grundverständnis für die Funktionsweise eines Rechners und der systemnahen Software

Content: • Grundstrukturen datenverarbeitender Systeme (Algorithmen,Schichtenmodell)

• Technische Darstellung von Information, Codierung

• Logik-Schaltungen (Boole'sche Algebra, Schaltnetze undSchaltwerke, Automaten, elementare Bausteine)

• Prozessorarchitektur (v.Neumann-Rechner, Befehlsarten, Adressierungsarten, Ereignis-Behandlung)

• Verarbeitung von Befehlen in einem einfachen Prozessor (Operationswerk, Steuerwerk)

• Speicherhierarchie (Cache, virtueller Speicher)

• Verbindungsstrukturen und Peripheriegeräte

• Programmerstellung und -Ablauf (Höhere Programmiersprachen,Laufzeit-Datenstrukturen, Optimierung, Compiler, Binder, Lader)

• Grundbegriffe und —Funktionen von Betriebssystemen

Cooperation (internationalor industry): -

Exam/ Studyachievements:

mündliche oder schriftliche Abschlussprüfung

Forms of media: Tafel, Folien; Beamer; Folien im pdf-Format zum Download

Literature: D.A.Patterson, J.L.Hennessy Rechnerorganisation und —entwurf, dieHardware/Software-Schniffstelle, Elsevier 2005

E. Glatz, Betriebssysteme, Grundlagen, Konzepte,Systemprogrammierung, dpunkt.verlag 2006

Weitere Literatur wird in der Vorlesung bekanntgegeben

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P 9

Module name: Logik

Abbreviation: Module No. P 9

Semester: 2nd

 Module coordinator: Prof. K. Madlener

Lecturer: Prof. K. Madlener, Prof. O. Mayer, Prof. R. Wiehagen

Language: German

Classification within thecurriculum:

Prep Course for students without a degree in computer science or similar 

Teaching format 2 Vorlesungen + 1 Übungen

Workload: Vorlesungen & Übungen: 42 h pro Semester 

Vor- und Nachbereitung: 78 h pro Semester 

Insgesamt: 120 h pro Semester 

Credit points: 4

Recommendedprerequisites:

Mathematik

Grundkenntnisse im Programmieren

Targeted learningoutcomes:

Kenntnis und Anwendung von Syntax und Semantik der Aussagen-und Prädikatenlogik,

Fähigkeit zur Formalisierung von Eigenschaften in der Sprache der Logik,

Fähigkeit zum Umgang mit Kalkülen, Deduktion und Beweisen

Content: • Aussagenlogik: Syntax und Semantik, Kalküle, deduktiver Aufbauder Aussagenlogik, natürliche Kalküle, algorithmischer Aufbau:Tableau-Methode, Davis-Putman-Algorithmen,Resolutionsverfahren.

• Prädikatenlogik: Syntax, Beziehungen zwischen Eigenschaftenvon Elementen, Semantik: Interpretationen, Belegungen,Bewertungen, Erfüllbarkeit, Transformationen von Termen undFormeln, Unentscheidbarkeit der Allgemeingültigkeit, deduktiver  Aufbau der Prädikatenlogik, Hauptsätze von PL1, Theorien erster Stufe, Modelle, Aufzählungsverfahren für PL1, Tableau- undResolutionsverfahren, Logisches Programmieren und Prolog.

Cooperation (internationalor industry):

-

Exam/ Studyachievements:

- Lösung von Übungsaufgaben (Zulassungsvoraussetzung)

- Semestralklausuren (Zulassungsvoraussetzung)- schriftliche Abschlussprüfung

Forms of media: Tafel, Folien; Beamer; Folien im pdf-Format zum Download

Literature: Sperschneider, Antoniou: Logic - A Foundation for Computer Science, Addison Wesley

Nissanke: Introductory Logic and Sets for Computer Scientists, Addison Wesley

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P 10

Module name: Grundlagen der Robotik

Abbreviation: Module No. P 10

Semester: 2nd

 Module coordinator: Prof. K. Berns

Lecturer: Prof. K. Berns

Language: German

Classification within thecurriculum:

Prep Course for students without a degree in computer science or similar 

Teaching format / classhours per week during thesemester:

2 Vorlesungen + 1 Übungen

Workload: Vorlesungen & Übungen: 42 h pro Semester 

Vor- und Nachbereitung: 78 h pro Semester Insgesamt: 120 h pro Semester 

Credit points: 4

Recommendedprerequisites:

Grundkenntnisse im Rechnertechnik

Targeted learningoutcomes:

Grundlegende Kenntnisse im Bereich der Robotik. FolgendeLernziele werden verfolgt:

• Fähigkeit zur formalen Beschreibung von Robotersystemen

• Anwendung von Methoden zur Bahnsteuerung und Bahnplanung

• Konzept zum Aufbau komplexer Steuerungsarchitekturen

Content:•

Modellierung von Robotersystemen (Kinematik und Dynamik)• Bahnplanung

• Steuerungsarchitekturen für Robotersysteme

• Planung

• Grundlagen der Roboterprogrammierung

Cooperation (internationalor industry):

-

Exam/ Studyachievements:

Lösung von Übungsaufgaben

Forms of media: Tafel, Folien; Beamer; Folien im pdf-Format zum Download

Literature: Wolfgang Weber (2002). Industrieroboter. Fachbuchverlag Leipzig im

Carl-Hanser-Verlag.Siegert, H.-J. and Bocionek, S. (1996). Robotik: Programmierungintelligenter Roboter. Springer Verlag.

Husty, M., Karger, A., Sachs, H., and Steinhilper, W. (1997).Kinematik and Robotik. Springer Verlag.

John J. Craig (2005). Introduction to Robotics — Mechanics andControl, Pearson Education International

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P 10

Module name: Grundlagen der Robotik

Abbreviation: Module No. P 10

Semester: 2nd

 Module coordinator: Prof. K. Berns

Lecturer: Prof. K. Berns

Language: German

Classification within thecurriculum:

Prep Course for students without a degree in computer science or similar 

Teaching format / classhours per week during thesemester:

2 Vorlesungen + 1 Übungen

Workload: Vorlesungen & Übungen: 42 h pro Semester 

Vor- und Nachbereitung: 78 h pro Semester Insgesamt: 120 h pro Semester 

Credit points: 4

Recommendedprerequisites:

Grundkenntnisse im Rechnertechnik

Targeted learningoutcomes:

Grundlegende Kenntnisse im Bereich der Robotik. FolgendeLernziele werden verfolgt:

• Fähigkeit zur formalen Beschreibung von Robotersystemen

• Anwendung von Methoden zur Bahnsteuerung und Bahnplanung

• Konzept zum Aufbau komplexer Steuerungsarchitekturen

Content: Modellierung von Robotersystemen (Kinematik und Dynamik)Bahnplanung

Steuerungsarchitekturen für Robotersysteme

Planung

Grundlagen der Roboterprogrammierung

Cooperation (internationalor industry):

-

Exam/ Studyachievements:

Lösung von Übungsaufgaben

− mündliche oder schriftliche Abschlussprüfung

Forms of media: Tafel, Folien; Beamer; Folien im pdf-Format zum Download

Literature: Wolfgang Weber (2002). Industrieroboter. Fachbuchverlag Leipzig im

Carl-Hanser-Verlag.Siegert, H.-J. and Bocionek, S. (1996). Robotik: Programmierungintelligenter Roboter. Springer Verlag.

Husty, M., Karger, A., Sachs, H., and Steinhilper, W. (1997).Kinematik and Robotik. Springer Verlag.

John J. Craig (2005). Introduction to Robotics — Mechanics andControl, Pearson Education International

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P 11

Module name: Kommunikationssysteme

Abbreviation: Module No. P 11

Semester: 2nd

 Module coordinator: Prof. J ens Schmitt

Lecturer: Prof. J ens Schmitt

Language: German

Classification within thecurriculum:

Prep Course for students without a degree in computer science or similar 

Teaching format / classhours per week during thesemester:

2 Vorlesungen + 1 Übungen

Workload: Vorlesungen & Übungen: 42 h pro Semester 

Vor- und Nachbereitung: 78 h pro Semester Insgesamt: 120 h pro Semester 

Credit points: 4

Recommendedprerequisites:

-

Targeted learningoutcomes:

Detailliertes Verständnis der Aufgaben, des Aufbaus und der  Arbeitsweise moderner Kommunikationssysteme:

• Begriffsbildung

• Bildung von Medienabstraktionen

• Kommunikationsarchitekturen

Kommunikationsfunktionalitäten• Beispiele: MAC-Protokolle (Ethernet, CAN, WLAN), Internet-

Protokolle (IP, ICMP, ARP, RIP, OSPF, TCP, UDP, FTP, SMTP)

Content: • Architekturmodelle (Dienst-, Protokoll-, Schichtenarchitektur;Internet-Architektur, LAN-Architektur)

• physikalische Grundlagen (Signal, Bandbreite, physikalischeMedien)

• Bitübertragung (Kodierung, Modulation, Multiplexing)

• Sicherungsprotokolle (Bitfehler, Fehlerkodierung,Fehlerbehandlung, Flusskontrolle)

• Protokolle in lokalen Netzen (Medien mit Mehrfachzugriff,

Kollision, Arbitrierungsverfahren, CSMA, CSMA/CD, TokenPassing)

• Vermittlungsprotokolle (Adressierung, Routing-Verfahren,Überlastungssteuerung, Internetworking)

• Transportprotokolle (Adressierung, Problem der verzögertenDuplikate, Verbindungsmanagement, Flusskontrolle,Überlastkontrolle)

• Anwendungsprotokolle (Übertragung strukturierter Daten, ASN.1,Komprimierung von Daten, Adressierung,anwendungsspezifische Kommunikationsdienste)

Cooperation (internationalor industry):

-

Exam/ Studyachievements:

− Lösung von Übungsaufgaben

− mündliche oder schriftliche Abschlussprüfung

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Forms of media: Tafel, Folien; Beamer; Folien im pdf-Format zum Download

Literature: J. Kurose and K. Ross. Computer Networking - A Top Down Approach Featuring the Internet. Pearson, 2nd Edition, 2003.

S. Tanenbaum. Computer Networks. Prentice Hall, 4th edition, 2003.

L.L. Peterson and B. Davie. Computer Networks — A Systems

 Approach. Morgan Kaufmann, 2003.