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7/14/2019 CVT Modules
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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.