modulhandbuch des studiengangs - - tu kaiserslautern · modulhandbuch des studiengangs...
Post on 02-May-2018
217 Views
Preview:
TRANSCRIPT
Modulhandbuch des Studiengangs
“Commercial Vehicle Technology“
Mandatory Modules S. 03 - 14
Elective Modules S. 15 - 72
Master Thesis & Project Work S. 73 - 75
Supplementary Modules S. 76 - 78
3
ME-M1 (Section Mechanical Engineering)
Module name: Principles of Commercial Vehicle Technology
Grundlagen der Nutzfahrzeugtechnik
Abbreviation: Module No. ME-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 the curriculum:
For Master Degree “Commercial Vehicle Technology”
as mandatory subject.
Teaching format / class hours 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
Recommended prerequisites:
Mechanics and machine elements and engineering design or similar
Targeted learning outcomes:
Knowledge on the state-of-the-art and the general requirements on the technology of modern commercial vehicles.
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 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/ Study achievements:
Written examination at the end of each semester
Forms of media: Power Point Slides combined with sketches on the chalkboard. Slides provided 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, Science & Business Media, New York
Fitch, J.W.: Motor Truck Engineering Handbook, 4. Aufl. (1994),
4
Society of Automotive Engineers, Warrendale, USA
Society of Automotive Engineers (Hrsg.): Truck Systems Design Handbook, Volume 2, (2002), 4. Aufl. (1994), Society
5
ME-M2 (Section Mechanical Engineering)
Module name: Dynamical Behaviour of Vehicles
Fahrzeugschwingungen
Abbreviation: Module No. ME-M2
Semester: 2nd
Module coordinator: Prof. Dr.-Ing. Christian Schindler
Lecturer: Prof. Dr.-Ing. Christian Schindler
Language: German
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as mandatory subject.
Teaching format / class hours per week during the semester:
13 double-hour lectures, one 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
Recommended prerequisites:
Technical mechanics (kinetics) or machine dynamics
Targeted learning outcomes:
Knowledge of the basics of main vehicle vibrations caused by road irregularity exitations.
Ability to create different simple vibration models representing the vehicle for different problems.
Ability to describe road irregularities and to handle there influence in vehicle 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/ Study achievements:
Written examination at the end of each semester (depending on the number of examinees)
Forms of media: Power Point Slides combined with sketches on the chalkboard. Slides provided via Internet.
Literature: Mitschke; Wallentowitz: Dynamik der Kraftfahrzeuge
Knothe, Stichel: Schienenfahrzeugdynamik
both Springer Verlag, Berlin
6
ME-M3 (Section Mechanical Engineering)
Module name: Drives and Gears
Fahrzeuggetriebe
Abbreviation: Module No. ME-M3
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 the curriculum:
It is a mandatory module that supplies fundamentals of gears with focus on commercial vehicles practical application.
Teaching format / class hours per week during the semester:
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
Recommended prerequisites::
Machine elements or comparable
Targeted learning outcomes:
Knowledge on the state-of-the-art in power train engineering of vehicles.
Knowledge on the common use power train design of vehicles with a focus 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/ Study achievements:
Written examination at the end of each semester
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
7
ME-M4a (Section Mechanical Engineering)
Module name: Manufacturing Engineering of Commercial Vehicles
Technologie der Fertigung von Nutzfahrzeugen
Abbreviation: Module No. ME-M4a
Semester: 2 nd
Module coordinator: Prof. Dr.-Ing. Jan C. Aurich
Lecturer: Dr.-Ing. Frank H. Lehmann
Language: English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology” as mandatory subject.
Teaching format / class hours per week during the semester:
Introducing Lecture: 3 hrs.
Two-day event: 5 blocked lectures and live presentation
Full-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 learning outcomes:
Knowledge on the state-of-the-art of commercial vehicle engineering, development and production. Knowledge on an overview on topical processes in global commercial vehicle production networks. Understanding of the requirements and basic conditions of globally active 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/ Study achievements:
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
8
ME-M4b (Section Mechanical Engineering)
Module name: Automotive Production
Automobilproduktion
Abbreviation: Module No. ME-M4b
Semester: 1st
Module coordinator: Prof. Dr.-Ing. Jan C. Aurich
Lecturer: Prof. Dr.-Ing. Jan C. Aurich
Language: English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as mandatory subject.
Teaching format / class hours per week during the semester:
2 hrs lecture per week
Workload: Contact study workload: 55 hrs per term
Self-study workload: 65 hrs per term
Overall workload: 120 hrs per term
Credit points: 4
Recommended prerequisites:
Fertigungstechnik, machine elements
Targeted learning outcomes:
Verständnis des spezifischen Ablaufs der Automobilproduktion und ihrer Besonderheiten
Kenntnisse der verwendeten Technologien
Kenntnisse über die organisatorischen und logistischen Aspekte der Automobilproduktion
Content: Introduction to Automotive Production
Body-in-White
Powertrain
Vehicle Assembly
Commercial Vehical Production
Supplier Industry
Ramp-up Management
E-Mobility
Exam/ Study achievements:
Written examination
Forms of media: PowerPoint-Präsentation, Tafel, Filme, Lernplattform OLAT zum Download Skript und zusätzliche Informationen
Literature: Scriptum
9
CS-M1 (Section Computer Science)
Module name: Foundations of Software Engineering
Grundlagen des Software Engineering
Abbreviation: Module No. CS-M1
Semester: 1st
Module coordinator: Prof. Dr. Peter Liggesmeyer
Lecturer: Prof. Dr. Peter Liggesmeyer,
Prof. Dr. Dieter Rombach
Language: English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as mandatory subject.
Teaching format / class hours 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: 8
Recommended prerequisites:
-
Targeted learning outcomes:
Knowledge about principles, methods, and tools for the development of large software systems for the commercial vehicle domain. Knowledge about important software engineering topics focusing on automotive systems.
Ability to develop software under software quality assurance aspects and with automated tools.
Content: Software engineering principles
Empirical laws
Basic knowledge (specification, architecture, verification, testing, process modelling, measurement, experimentation)
Component engineering (model-based development, languages and tools, non-functional requirements)
Development of large systems (system specification, design patterns, frameworks, system test)
Application engineering (requirements engineering, perspective-based inspection)
Projekt management
Software evolution (legacy systems, maintenance)
Hot topics (standards, …)
Exam/ Study achievements:
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, Second Edition, Springer-Verlag, 1997
10
W. Zuser, T. Grechenig, M. Köhle: Software Engineering mit UML und dem 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 Software Engineering; Vieweg, 2006
11
CS-M2 (Section Computer Science)
Module name: Safety and Reliability of Embedded Systems
Sicherheit und Zuverlässigkeit eingebetteter Systeme
Abbreviation: Module No. CS-M2
Semester: 1st
Module coordinator: Prof. Peter Liggesmeyer
Lecturer: Prof. Peter Liggesmeyer
Language: German and English (alternating)
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology” as mandatory subject.
Teaching format / class hours per week during the semester:
Lectures 2 h/week + exercise 1 h/week
Workload: Contact study workload: 42 hrs per term
Self-study workload: 78 hrs per term
Overall workload: 120 hrs per term
Credit points: 4
Recommended prerequisites:
Formal Foundations of Programming
Foundations of Software Engineering
Targeted learning outcomes:
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, automotive engineering, medical technology - a software failure can endanger human lives. Hence, for example, safety has to be proved before the initial start-up of such systems. These proofs must be complete in general or have to prove at least that a tolerable residual risk is not exceeded.
The lecture is divided into a basic part and a practical part. In the basic part current techniques for the safety and reliability analysis are presented (Symbolic Model Checking and stochastic reliability analysis). In the practical part representatives of industrial companies, which develop security-critical software-intensive systems, report on the situation in practical use.
Exam/ Study achievements:
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
CS-M3 (Section Computer Science)
12
Module name: Software Development for Commercial Vehicles
Abbreviation: Module No. CS-M3
Semester: 2st
Module coordinator: Prof. Peter Liggesmeyer
Lecturer: Dr.-Ing. Mario Trapp
Language:
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology” as mandatory subject.
Teaching format / class hours per week during the semester:
Lectures 2 h/week + exercise 1 h/week
Workload: Contact study workload: ? hrs per term
Self-study workload: ? hrs per term
Overall workload: ? hrs per term
Credit points: 4
Recommended prerequisites:
Targeted learning outcomes:
Content:
Exam/ Study achievements:
Oral or written exams
Forms of media:
Literature:
13
CS-M4 (Section Computer Science)
Module name: CVT-Programming-Project
CVT-Programmier-Projekt
Abbreviation: Module No. CS-M4
Semester: 1st
Module coordinator: Juniorprof. Dr. Achim Ebert
Lecturer: Roger Daneker
Language: English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology” as mandatory subject.
Teaching format / class hours per week during the semester:
4 hours per semester week
Workload:
Credit points: 4
Recommended prerequisites:
-
Targeted learning outcomes:
Content:
Exam/ Study achievements:
Forms of media:
Literature:
14
EE-M1 (Section Electrical Engineering)
Module name: Principles of Electrical and Computer Engineering in CVT
Grundlagen der Elektrotechnik und Informationstechnik in Nutzfahrzeugen
Abbreviation: Module No. EE-M1
Semester: 1st
Module coordinator: Prof. Dr.-Ing Steven Liu, Prof. Dr.-Ing. Hans D. Schotten, Prof. Dr.-Ing Norbert Wehn, Jun. Prof. Dr.-Ing. Daniel Görges
Lecturer: Prof. Dr.-Ing Steven Liu, Prof. Dr.-Ing. Hans D. Schotten, Prof. Dr.-Ing Norbert Wehn, Jun. Prof. Dr.-Ing. Daniel Görges
Language: English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology” as mandatory subject.
Teaching format / class hours per week during the semester:
4 hours per week
Workload:
Credit points: 5
Recommended prerequisites:
Targeted learning outcomes:
Content: Introduction & Motivation of Vehicular Communications; Taxonomy of Vehicular Applications & Technologies; Communication Techniques; Communication Challenges; Intelligent Transportation Systems (ITS) & Commercial Vehicle Operations (CVO)
Introduction to processors and computing systems; Real world processor example: Aurix; Virtual prototyping with SystemC TLM;
Exam/ Study achievements:
written examination
Forms of media:
Literature:
16
ME-E1 (Section Mechanical Engineering)
Module name: Schwingfestigkeit
Cyclic Deformation Behaviour
Abbreviation: Module No. ME-E1
Semester: 3rd
Module coordinator: Prof. Dr.-Ing. habil. Dietmar Eifler
Lecturer: Dr.-Ing. Marek Smaga, Prof. Dr. Tillmann Beck
Language: English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
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
Recommended prerequisites:
Grundvorlesungen in der Werkstoffkunde
Targeted learning outcomes:
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/ Study achievements:
Written or oral examination at the end of each semester (depending on the number of examinees)
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
17
ME-E2 (Section Mechanical Engineering)
Module name: Powertrain Engineering of Commercial Vehicles I: Engines of Commercial Vehicles
Fahrzeugantriebe
Abbreviation: Module No. ME-E2
Semester: 2nd
Module coordinator: Prof. Dr.-Ing. Rudolf Flierl
Lecturer: Prof. Dr.-Ing. Rudolf Flierl
Language: English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours 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
Recommended prerequisites:
-
Targeted learning outcomes:
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/ Study achievements:
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
18
ME-E3 (Section Mechanical Engineering)
Module name: Virtual Product Engineering of Commercial Vehicles
Virtuelle Produktentwicklung 1
Abbreviation: Module No. ME-E3
Semester: 3rd
Module coordinator: Prof. Dr.-Ing. Martin Eigner
Lecturer: Prof. Dr.-Ing. Martin Eigner
Research Assistant
Language: German
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
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
Recommended prerequisites:
-
Targeted learning outcomes:
Knowledge of application of IT solutions in engineering processes. Knowledge about concepts, methods and IT-tools that are state-of-the art in the research field of Virtual Product Engineering (VPE). Ability to cope with these essential tools that support the work of engineers.
Content: This lecture deals with the application of IT solutions in engineering processes:
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/ Study achievements:
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.
19
ME-E4 (Section Mechanical Engineering)
Module name: Virtual Product Engineering II
Virtuelle Produktentwicklung 2
Abbreviation: Module No. ME-E4
Semester: 2nd
Module coordinator: Prof. Dr.-Ing. Martin Eigner
Lecturer: Prof. Dr.-Ing. Martin Eigner
Research Assistant
Language: English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
14 double-hour lectures, one per week
Workload: Contact study workload 30 hrs per term
Self-study workload 60 hrs per term
Overall workload 90 hrs per term
Credit points: 3
Recommended prerequisites:
Virtuelle Produktentwicklung 1, Labor 3D CAD
Targeted learning outcomes:
Die Vorlesung schafft die Voraussetzungen, IT-Lösungen für die Virtuelle Produktentwicklung als wesentliches Hilfsmittel für Ingenieure anwenden zu können. Die Studenten erwerben Wissen über Methoden, IT-Werkzeuge und Prozessabläufe, die zum Stand der Technik im Themenbereich rechnergestützte Entwicklung technischer Produkte gehören. Dadurch werden sie in die Lage versetzt, diese als wesentliche Hilfsmittel des Ingenieurs zur Arbeitsunterstützung zu begreifen. Sie lernen, je nach Problemstellung die geeigneten IT-Werkzeuge eigenständig auszuwählen und anzuwenden. Ein Ausblick auf den Stand der Forschung wird fernerhin gegeben.
Content: Eine Einführung in die mechatronische Produktentwicklung sowie ein Überblick über die Rechnerunterstützung bei der Mechanik-Konstruktion werden zu Beginn gegeben. Im Mittelpunkt der Veranstaltung stehen dann die weiteren Ingenieurs-Disziplinen, die bei der mechatronischen Produktentwicklung zusammenwirken. Im Einzelnen werden die folgenden Themengebiete behandelt:
Computer Aided Design in der Elektrokonstruktion (E-CAD)
Computer Aided Software Engineering (CASE)
Computer Aided Engineering (CAE)
Product Data Management (PDM) und Product Lifecycle Management (PLM)
PLM und CAD im Anlagenbau
Datenaustausch
Datenmodellierung
Exam/ Study achievements:
Written examination at the end of each semester.
Forms of media: Power Point Slides.
Literature: Die notwendigen Materialien werden zum Download bereit gestellt. Weiterführende Literatur und Referenzen sind angegeben. Dazu
20
gehören:
Eigner, M., Stelzer, R., Produktdatenmanagement Systeme, Springer, Berlin: September 2008
Arnold, V., u.a., Product Lifecycle Management beherrschen, Springer, Berlin: 2005
Kohlhoff, S., Produktentwicklung mit SAP in der Automobilindustrie, Galileo Press, Bonn: 2005
Anderl, R., Trippner, D., STEP – Standard for the Exchange of Product Model Data, B. G. Teubner, Stuttgart: 2000
21
ME-E5 (Section Mechanical Engineering)
Module name: Fügetechnik in der Fahrzeugtechnik
Joining Technologies in Vehicle Technology
Abbreviation: Module No. ME-E5
Semester: 3rd
Module coordinator: Prof. Dr.-Ing. Paul Ludwig Geiß
Lecturer: Prof. Dr.-Ing. Paul Ludwig Geiß
Language: German (or English)
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
Two hours 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
Recommended prerequisites:
Basics in mechanical engineering
Targeted learning outcomes:
Ability to select and to use material-specific lightweight joining technologies 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, ich joining, joining of plastics and FRP-lightweight-materials, fatique properties of different joining technologies, crash performance of different joining technologies, durability of bonded joints, joining in repair and disassembling for recycling.
Exam/ Study achievements:
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 des Nutzfahrzeugbaus”, Aluminium-Verlag, Düsseldorf (1990)
G. Buchfink: „Faszination Blech“, Vogel, Würzburg
22
ME-E6 (Section Mechanical Engineering)
Module name: Polymers in Vehicle Technology
Kunststoffe in der Fahrzeugtechnik
Abbreviation: Module No. ME-E6
Semester: 3rd
Module coordinator: Prof. Dr.-Ing. Alois K. Scharb
Lecturer: Prof. Dr.-Ing. Alois K. Scharb
Language: German/English as required
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
2
Workload:
Credit points: 3
Recommended prerequisites:
Einführung in die Kunststofftechnik, Einführung in die Verbundwerkstoffe
Targeted learning outcomes:
Content: Hintergründe, Definitionen und Trends
Kunststoffe im Fahrzeug
Anwendungen (Kunststoffe, Konstruktionen und Fertigung):
Kunststoffe im Innenraum (Interieur)
Außenanwendungen (Exterieur)
Unter der Haube (Under the Hood)
Elektronik und Licht
Strukturanwendungen
Exam/ Study achievements:
Written or oral exam at the end of each semester
Forms of media: Slides, short movies, sketches at the chalkboard,
OLAT internet learning platform
Literature: Stauber, R.; Vollrath, L. (Eds): Plastics in Automotive Engineering, 2007
23
ME-E7 (Section Mechanical Engineering)
Module name: Land- und Baumaschinen
Agricultural and Construction Vehicles
Abbreviation: Module No. ME-E7
Semester: 2nd
Module coordinator: Prof. Dr.-Ing. C. Schindler
Lecturer: Mr. Meissner (Fa. Terex-Demag), Mr. Pickel (John Deere)
Language: German / English as required
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
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 hrs
Overall Workload: 90 hrs.
Credit points: 3
Recommended prerequisites:
Content of Mandatory 1: “Principles of Commercial Vehicle Technology”
Targeted learning outcomes:
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, operating principles, 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/ Study achievements:
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.
24
ME-E8 (Section Mechanical Engineering)
Module name: Durability load data analysis
Lastdaten Analyse, Bemessung und Simulation
Abbreviation: Module No. ME-E8
Semester: 2nd
Module coordinator: Dr. Klaus Dressler
Lecturer: Dr. Klaus Dressler
Language: English (or German if the students prefer)
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective subject.
Teaching format / class hours per week/ semester
14 double-hour lectures, one per week
Workload: Contact study workload: 28 hrs per term
Self-study workload: 52 hrs per term
Overall workload: 80 hrs per term
Credit points: 3
Recommended prerequisites:
Mechanics and machine elements and engineering design or similar
Targeted learning outcomes:
Understanding of the process and basic methodology for system level 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 methods
Content: Load data analysis for mechanical systems Load data and durability
o Stress-strain paths, hystereses, local strain approach and multiaxiality
Loading statistics and design targets o Durability = loading + strength o Modelling usage variability
Amplitude based data reduction methods o Sampling rates, drift / offset / spikes o 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 simulation o 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/ Study achievements:
Written or oral examination at the end of each semester (depending on the number of examinees)
Forms of media: Power Point Slides combined with sketches on the chalkboard. Slides provided via Internet.
Literature Guide to Load Analysis for Durability in Vehicle Engineering (Automotive Series) von P. Johannesson und M. Speckert ISBN 978-1-118-64831-5
25
ME-E9 (Section Mechanical Engineering)
Module name: Alternative Antriebskonzepte Alternative Drive Concepts
Abbreviation: Module No. ME-E9
Semester: 3rd
Module coordinator: Dr.-Ing. Peter Kosack
Lecturer: Dr.-Ing. Peter Kosack
Language: German
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology” as elective subject.
Teaching format / class hours per week during the semester:
14 double-hour lectures, mostly one per week, some hours additionally as exercise block
Workload: Contact study workload: 28 hrs per term Self-study workload: 52 hrs per term Overall workload: 80 hrs per term
Credit points: 3
Recommended prerequisites:
Basics in Powertrain Engineering
Targeted learning outcomes:
Understanding of the structure of energy generating systems and
efficient use of energy in suitable powertrains, i.p.:
Knowledge of energy supply structures and their quality
criteria
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/ Study achievements:
Written or oral examination at the end of each semester (depending on 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
26
ME-E10 (Section Mechanical Engineering)
Module name: Product Lifecycle Management
Abbreviation: Module No. ME-E10
Semester: 2nd + 4th
Module coordinator: Prof. Dr.-Ing. Martin Eigner
Lecturer: Dipl.-Kfm.-techn.Patrick D. Schäfer
Language: English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology” as elective subject.
Teaching format / class hours per week during the semester:
2 + 1 exercise
Workload:
Credit points: 4
Recommended prerequisites:
Targeted learning outcomes:
Content: We offer the course Product Lifecycle Management (PLM) at the example of PTC Windchill as a lecture with practical exercises . This course is being conducted together with several partner companies from the industry. PLM is the management of product data and technical processes throughout the product lifecycle. In the lecture we introduce the general structure and application functions of PLM solutions. Special topics are economic benefits of PLM, process management and introduction to PLM in an company environment. In the practical exercises the participants will apply the theoretical knowledge using a PLM solution. The participants will use PTC Windchill, PTC Creo and ARAS Innovator.
Exam/ Study achievements:
Written or oral examination at the end of each semester (depending on the number of examinees)
Forms of media: Power Point Slides combined with sketches on the chalkboard. Slides provided via Internet.
Literature: Eigner, M., Stelzer, R.: "Product Lifecycle Management: Ein Leitfaden für Product Development und Lifecycle Management", 2. Aufl., Springer Verlag, Berlin, Heidelberg, 2009
27
CS-E1 (Section Computer Science)
Module name: Autonome Mobile Roboter I & II(AMRI & II)
Autonome Mobile Roboter I & II(AMRI & II)
Abbreviation: Module No. CS-E1
Semester: 2nd
Module coordinator: Prof. Dr. rer. nat. Karsten Berns
Lecturer: Prof. Dr. rer. nat. Karsten Berns
Language: German/English as required
Classification within the curriculum:
Elective subject for Master course “Commercial Vehicle Technology”
Teaching format / class hours per week during the semester:
4 h Lecture + 2 h Exercise
Workload: Contact study workload 84 hrs per term
Self-study workload 156 hrs per term
Overall workload 240 hrs per term
Credit points: 8
Recommended prerequisites:
Basics in Computer Systems and Robotics
Targeted learning outcomes:
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 vison
Content: 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 robotics
Exam/ Study achievements:
Oral 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 Electrical and Electronic Engineers
Jones, J. L. (1993). Mobile Robots-From Inspiration to
29
CS-E2 (Section Computer Science)
Module name: Hardware-Software-Systems
Hardware-Software-Systeme: Synthese
Abbreviation: Module No. CS-E2
Semester: 3st
Module coordinator: Prof. Klaus Schneider
Lecturer: Prof. Klaus Schneider
Language: German and English (alternating)
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology” as elective subject.
Teaching format / class hours per week during the semester:
2 h Lectures + 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: 8
Recommended prerequisites:
-
Targeted learning outcomes:
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/ Study achievements:
Written or 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, and R. 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, The Synchronous Dataflow Programming Language LUSTRE, IEEE Proceedings, 79(9):1305-1320, 1991
S. Palnitkar, Verilog HDL, Prentice Hall, 2003
30
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 1990
Modelica: A Unified Object-Oriented Language for Physical Systems Modeling, Tutorial Version 1.4
Internet sources:
www.modelica.org
www.systemverilog.org
www.synalp.org
31
CS-E3 (Section Computer Science)
Module name: Process Modeling
Prozessmodellierung
Abbreviation: Module No. CS-E3
Semester: 2 nd
Module coordinator: Prof. Dr. Dieter Rombach
Lecturer: Dr. Jens Heidrich
Language: German and English (on request)
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
2h Lecture + 1 h Exercise
Workload: Contact study workload 45 hrs per term
Self-study workload 81 hrs per term
Overall workload 120 hrs per term
Credit points: 4
Recommended prerequisites:
Foundations of Software Engineering
Targeted learning outcomes:
Gaining knowledge and capabilities for designing, creating, analyzing, and applying 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 purposes
Content: Process Modeling is a specialization field that is practically oriented.The development and maintenance of commercial vehicles requires integrated processes for different disciplines (e.g., mechanics, software). This class focuses on software development processes and demonstrates their integration with processes of different type in the overall system development and maintenance process.
Topics:
Introduction and classification (objectives, research and application areas)
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, process elicitation)
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)
Future developments (agile process documentation, process machines,
32
process patterns)
Exam/ Study achievements:
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 in Computer Science 1500, Springer, 1999.
Finkelstein, A., Kramer, J., Nuseibeh, B. (eds): Software Process Modelling and Technology. Taunton: Research Studies Press, 1994.
Christian Bunse und Antje von Knethen. Vorgehensmodelle kompakt. Spektrum Akademischer Verlag, Heidelberg, 2002.
33
CS-E4 (Section Computer Science)
Module name: Product Line Engineering
Product Line Engineering
Abbreviation: Module No. CS-E4
Semester: 3rd
Module coordinator: Prof. Dr. Dieter Rombach
Lecturer: Dr.-Ing. Martin Becker
Language: German and English (alternating)
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours 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
Recommended prerequisites:
Foundations of Software Engineering
Targeted learning outcomes:
Transfer of knowledge and education in activities required for a systematic 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 line architectures
Modelling and implementation of generic components
Analysis of product variants
Support of software development by reverse engineering
Content: Basic concepts of product lines (commonality, variability, decisions)
Role and concepts of architectures (styles, patterns, and scenarios)
Implementation technologies (MDA, Preprocessors, aspect-orientend development)
Technology transfer (Adaptation and adoption of technologies, migration strategies)
Reverse-Engineering (basic and detailed analyses, reconstruction of architectural views and structures)
Domain analysis (product map, management of varying requirements and system characteristics)
Exam/ Study achievements:
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 2001
Weiss, Lai: Software Product-Line Engineering. A Family-Based Software Development Process Addison-Wesley, 1999
35
CS-E5 (Section Computer Science)
Module name: Requirements Engineering
Anforderungstechnik
Abbreviation: Module No. CS-E5
Semester: 3rd
Module coordinator: Prof. Dr. h.c. Dieter Rombach
Lecturer: Prof. Dr. h.c. Dieter Rombach
Language: German/English as required
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
2 Lectures, 1 Exercise
Workload
Credit points: 4
Recommended prerequisites:
Targeted learning outcomes:
Erwerb von Kenntnissen und Fähigkeiten zur ingenieurmäßigen Durchführung des Anforderungsprozesses
Methoden zur Erfassung von Anforderungen
Techniken und Vorgehensweise zur Modellierung /Spezifikation von Anforderungen
Techniken zum Anforderungsmanagement
Besonderheiten der Anforderungsspezifikation im Kontext der Produktlinienentwicklung
Content Techniken zur Erhebung von Benutzeranforderungen
Ansätze zur Modellierung von Benutzeranforderungen (Beschreibungstechniken, Prozesse)
Transformation zu Entwickleranforderungen (funktionale, nichtfunktionale Anforderungen)
Anforderungsverhandlung (Negotiation, Priorisierung)
Anforderungen für Produktlinien
Validierung von Anforderungen
Exam/ Study achievements:
mündliche oder schriftliche Abschlussprüfung
Forms of media: Folien/Beamer/etc.
Folien zum Download (als PDF)
Literature: Cockburn. Writing Effective Use Cases, Addison-Wesley, 2001.
S. Robertson, J. Robertson, Mastering the Requirements Process, Addison-Wesley, 2002.
S. Lauesen: Software Requirements, Addison-Wesley, 2002
36
CS-E6 (Section Computer Science)
Module name: Prozessorarchitektur
Abbreviation: Module No. CS-E6
Semester: 1st + 3rd
Module coordinator: Prof. Dr. rer. nat. Klaus Schneider
Lecturer: Dr. Jörg Dörr
Language: German
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
2 Lectures, 1 Exercise
Workload
Credit points: 4
Recommended prerequisites:
Targeted learning outcomes:
Content processors with dynamic scheduling (most superscalar processors)
prozessors with static scheduling (most VLIW/DSP processors)
vector processors and multi-media instructions multi-processor computers and multi-core architectures
Exam/ Study achievements:
exam written
Forms of media:
Literature:
37
CS-E7 (Section Computer Science)
Module name: Bussystems
Abbreviation: Module No. CS-E7
Semester: 1st +3rd
Module coordinator: Prof. Dr.-Ing. Reinhard Gotzheim
Lecturer: Prof. Dr.-Ing. Reinhard Gotzheim
Dr. Thomas Kuhn
Language: German
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
Workload:
Credit points: 4
Recommended prerequisites:
Rechnersysteme 1
Targeted learning outcomes:
Content: Foundations of safety relevant communication systems
(Real-Time Properties, Faults, Failures, Hazards)
Network topologies, ISO/OSI Layered Architecture
Physical foundations of communication systems
(Signals, Sampling, Modulation)
Bus systems for automotive applications
(e.g. CAN, CanOpen, FlexRay, LIN, MOST, Real-Time Ethernet, Worst Case Analysis, Automotive Communication and Scheduling, Holistic Analysis of Communication Times and Delay)
Bus Systems for Commercial Vehicle Networks
(e.g. ISOBUS)
Wireless Networking for Commercial Vehicles and Automotive Systems
(Open Systems, Foundations of Wireless Communication, Challenges in Automotive and Commercial Vehicle Domains, Standard extensions, Scalability, Reliability, Security)
Avionic Networks
(Real-Time Ethernet Extensions, AFDX)
Exam/ Study achievements:
Oral examination
Forms of media:
Literature:
38
CS-E8 (Section Computer Science)
Module name: Power-Aware Embedded Systems
Abbreviation: Module No. CS-E8
Semester: 1st + 3rd
Module coordinator: Prof. Dr. Christoph Grimm
Lecturer: Prof. Dr. Christoph Grimm
Language: German / English as required
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format 2 h Lectures, 1 h Exercise
Workload:
Credit points: 4
Recommended prerequisites:
Rechnersysteme 1+2, Kenntnisse in C/C++
Targeted learning outcomes:
Content: Energy- and power aware systems, self-sufficient and autonomous systems
Technological reasons and limits for power consumption
Low power data path design
Architectural clock- and power gating
Power management: RTFS, DFS, DVFS, AVS, etc.
Power/energy awareness in OS and applications, power aware compilers
Virtual prototyping, estimation, power profiling, development of low-power software
Power supply, battery and harvester models
Power converters, Low-Power Standby
Low-Power Processors, RT/TX (WUR, ZigBee, W6LoPan, Bluethooth, etc.) Embedded Systems for Energy Management
Exam/ Study achievements:
Written examination
Forms of media:
Literature:
39
CS-E9 (Section Computer Science)
Module name: Virtual Prototyping und HW/SW Co-‘Design
Abbreviation: Module No. CS-E9
Semester: 2nd + 4th
Module coordinator: Prof. Christoph Grimm
Lecturer: Prof. Christoph Grimm
Language: German / English as required
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format
Workload: 2 hours lecture / 3 hours exercise
Credit points: 6
Recommended prerequisites:
Rechnersysteme 1+2
Kenntnisse in C/C++
Targeted learning outcomes:
Content: Entwurfsmethodik
Ausführbare Spezifikation, Architekturevaluation, Systemintegration, Verifikation
Models of Computation: Kahn-Prozess Netzwerke, Synchroner Datenfluss, Zeitbehafteter Datenfluss, StateCharts
Simulation
Transaction Level Modelling von Multi-Prozessor-Systemen
Synthese von HW/SW Systemen
SystemC (AMS, TLM)
Exam/ Study achievements:
Written examination
Forms of media: Tafel/Flipchart/etc.
Folien/Beamer/etc.
Literature: Vorlesungsfolien
D. Gajski, Design of Embedded Systems
40
CS-E10 (Section Computer Science)
Module name: Seminar: Visualisierung und HCI
Abbreviation: Module No. CS-E10
Semester: 2nd +4th
Module coordinator: apl. Prof. Achim Ebert
Lecturer: apl. Prof. Achim Ebert
Language: German/English as required
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format 2 h per week
Workload:
Credit points: 8
Recommended prerequisites:
Scientific Visualization
Targeted learning outcomes:
Kompetenz zur Einarbeitung in ein spezielles Thema aus dem Bereich der Visualisierung
Kompetenz zur verständlichen Präsentation eines abgegrenzten Fachthemas unter Einsatz elektronischer Medien
Kompetenz zur fachlichen Diskussion
Content: Ausgewählte Themen aus dem Visualisierung, z. B.: VR/AR
Information Visualization
Scientific Visualization
Adaptive/mobile Visualization
Visualization of medical and biological data
Exam/ Study achievements:
Präsentation und schriftliche Ausarbeitung
Forms of media: Folien, Beamer, etc.
Literature: themenabhängige Literatur
41
CS-E11 (Section Computer Science)
Module name: 3D Computer Vision
Abbreviation: Module No. CS-E11
Semester: 2nd + 4th
Module coordinator: Prof. Dr. Didier Stricker
Lecturer: Prof. Dr. Didier Stricker
Language: English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format 2 h Lectures
Workload:
Credit points: 4
Recommended prerequisites:
Targeted learning outcomes:
Fähigkeit zur Einarbeitung in ein spezielles Thema aus dem Bereich 3D Computer Vision & Augmented Reality
Fähigkeit zur verständlichen Präsentation eines abgegrenzten Fachthemas unter Einsatz elektronischer Medien
Fähigkeit zur fachlichen Diskussion
Content: Ausgewählte Themen aus dem Bereich 3D Computer Vision & Augmented Reality, z.B.:
Algorithmen/Verfahren zur Kameraverfolgung, Poseschätzung, Objekterkennung, 3D Rekonstruktion, etc.
Augmented Reality Applikationen und aktuelle Trends
Computer Vision und Augmented Reality auf Consumer-Endgeräten
Realistisches Rendering
Exam/ Study achievements:
Präsentation und schriftliche Ausarbeitung
Forms of media: Folien/Beamer/etc.
Literature: Abhängig vom Seminarthema.
42
CS-E12 (Section Computer Science)
Module name: Applications of Artificial Intelligence
Anwendungen der künstlichen Intelligenz
Abbreviation: Module No. CS-E12
Semester: 2nd + 4th
Module coordinator: Prof. Andreas Dengel
Lecturer: Dr. Marcus Liwicki
Language: English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
2 h Lectures + 1 h Exercise
Workload:
Credit points: 4
Recommended prerequisites:
Kenntnisse in der künstlichen Intelligenz.
Targeted learning outcomes:
Die Studierenden besitzen
Kenntnis von erfolgreichen Anwendungen der Künstlichen Intelligenz in der realen Welt.
Erfahrungen mit der Anwendung von KI-Verfahren und -Modellen in praxisorientierten realweltlichen Umgebungen.
Content: Grundlagen: Anfänge der KI, erste Anwendugnen in der Praxis, anwendungsbezogene Entwicklung der KI
Allgemeiner Überblick über erfolgreiche Praxisanwendungen
Vorstellung und Erläuterung zum Einsatz und der Anwendung von KI-Verfahren und -Modellen bei realen Problemstellungen, unter anderem: Robocup, Handschrifterkennung, Spracherkennung, KI in Computerspielen, Unterstützung von Wissensarbeitern im Büro , KI im Argrarbereich
Zukunft der KI
Exam/ Study achievements:
mündliche Abschlussprüfung
Forms of media: Tafel/Flipchart/etc.
Folien/Beamer/etc.
Folien zum Download (als PDF)
Literature: Nilsson, N.: Artificial Intelligence: A New Synthesis, Morgan Kaufmann Publ., 1998
Stuart Russell, Peter Norvig, Artificial Intelligence: A Modern Approach, 3rd Edition, 2010
Innovative Applications of AI (jährliche Konferenz), http://www.aaai.org/Conferences/IAAI/iaai.php
43
CS-E13 (Section Computer Science)
Module name: Embedded Intelligence
Eingebettete Intelligenz
Abbreviation: Module No. CS-E13
Semester: 2nd + 4th
Module coordinator: Prof. Dr. Paul Lukowicz
Lecturer: Prof. Dr. Paul Lukowicz +Dr. Jingyuan Cheng
Language: English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
2 h Lectures + 1 h Exercise
Workload:
Credit points: 4
Recommended prerequisites:
Kenntnisse in Signalverarbeitung und Machine Learning, mindestens eine Programmiersprache (C/C++, Java, MATLAB/Python).
Targeted learning outcomes:
Die Studierenden verstehen die Basiskonzepte Eingebetteter-Intelligenz. Sie besitzen die Fähigkeit, eine einfache konkrete Aktivitätserkennungsaufgabe zu lösen (z. B. Aktivitätserkennung mit Beschleunigungssensor, Indoor-Lokalisation durch WiFi-Signal).
Content: Die Vorlesung beschäftigt sich mit den grundlegenden Techniken mit den eingebettete Systeme die Umwelt und menschliche Aktivitäten erfassen und modellieren können und den darauf aufbauenden Anwendungen.
Klassen und Beispiele der Problemstellung an Hand konkreter Anwendungen
Eigenschaften und Nutzungsmöglichkeiten verschiedener Sensoren im Hinblick auf unterschiedliche Problemstellungen
Eignung verschiedener Methoden der Signalverarbeitung und des Machine Learning für verschiedene Erkennungsaufgaben
Beispiele für vollständige Erkennungsarchitekturen aus konkreten Anwendungen
Berücksichtigung der Ressourcenanforderungen in den Erkennungsarchitekturen
Umgang mit dynamischen Sensorkonfigurationen
Leistungsbewertung
Exam/ Study achievements:
mündliche Abschlussprüfung
Forms of media: Folien/Beamer/etc.
Folien zum Download (als PDF)
Literature: Wird in der Vorlesung bekannt gegeben.
44
EE-E1 (Section Electrical Engineering)
Module name: Synthesis and Optimization of Microelectronic Systems
Synthese und Optimierung mikroelektronischer Systeme
Abbreviation: Module No. EE-E1
Semester: 1st
Module coordinator: Prof. Dr.-Ing. Norbert Wehn
Lecturer: Prof. Dr.-Ing. Norbert Wehn
Language: English/German
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
2 hours lecture, 1 hour exercise
Workload:
Credit points: 4
Requirements under the examination regulations:
Recommended prerequisites:
Targeted learning outcomes:
Content: Hardware/Software-Codesign, Verfahren der High-Level Synthese (Scheduling, Allocation, Binding), Verfahren zur Register-Transfersynthese.
Exam/ Study achievements:
Oral exam
Forms of media:
Literature: G. DeMicheli: Synthesis and Optimization of Digital Circuits, Qaddison Wesley; D. Gajski, Introduction to High-Level Synthesis, Kluwer Academic Publisher
45
EE-E2 (Section Electrical Engineering)
Module name: Mikroelektronik für Nichtvertiefer
Abbreviation: Module No. EE-E2
Semester: 2rd
Module coordinator: Prof. Dr.-Ing. Norbert Wehn
Lecturer: Prof. Dr.-Ing. Norbert Wehn
Language: English/German
Classification within the curriculum:
Elective Module within the CVT-Curriculum
Teaching format / class hours per week during the semester:
2 hours lecture,
Workload:
Credit points: 4
Requirements under the examination regulations:
Recommended prerequisites:
Targeted learning outcomes:
Content: Einführung in den Entwurfszyklus integrierter Schaltungen, Technologische Grundlagen, Implementierungsstile, schaltungstechnische Grundlagen, Entwurfsmethodiken.
Exam/ Study achievements:
Oral exam
Forms of media:
Literature: M. J. S. Smith: Application-Specific Integrated Circuits, Addison Wesley; J. M. Rabaey: Digital Integrated Circuits - A Design Perspective, Prentice Hall.
46
EE-E3 (Section Electrical Engineering)
Module name: Architecture of Digitial Systems I
Architektur digitaler Systeme I
Abbreviation: Module No. EE-E3
Semester: 1st + 3rd
Module coordinator: Prof. Dr.-Ing. habil. Wolfgang Kunz
Lecturer: Priv. Doz. Dr.–Ing.habil. Dominik Stoffel
Language: English
Classification within the curriculum:
Elective Module within the CVT-Curriculum
Teaching format / class hours per week during the semester:
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
Recommended prerequisites:
Basic knowledge in Logic Design
Targeted learning outcomes:
Content: This course addresses the fundamentals of computer architecture while focus on RISC processors. We will discuss
Data representation
Signed and unsigned fixed point numbers
Floating point numbers, IEEE 754 standard
Computer arithmetic
Algorithms
Sequential and parallel hardware implementations
Instruction set and machine language
Instruction set categories
Addressing modes
Assembler programming
Datapath and control
Hardware implementation of a processor
Control unit design, microprogramming
Exceptions
Instruction set parallelism
Pipelining
Superscalar and VLIW processors
Dynamic scheduling
Memory hierarchy
Caches
Virtual memory, page tables, TLB
Exam/ Study achievements:
Oral exam
Forms of media: Website, slides
Literature: Patterson/Hennessy: Computer Organization and Design - The Hardware/Software-Interface, Morgan Kaufmann, 2008, EIT
47
860/103
Hennessy/Patterson: Computer Architecture - A Quantitative Approach, Morgan Kaufmann, 2006, EIT 860/104
48
EE-E4 (Section Electrical Engineering)
Module name: Architecture of Digitial Systems II
Architektur digitaler Systeme II
Abbreviation: Module No. EE-E4
Semester: 1st
Module coordinator: Prof. Dr.-Ing. habil. Wolfgang Kunz
Lecturer: Priv. Doz. Dr.–Ing.habil. Dominik Stoffel
Language: English
Classification within the curriculum:
Elective Module within the CVT-Curriculum
Teaching format / class hours per week during the semester:
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
Recommended prerequisites:
Basic knowledge in assembler programming and processor architecture
Targeted learning outcomes:
understand the fundamental design principles, models and architectures of embedded computing systems
be able to read advanced literature on the subject be able to get engaged in research and development projects in this area
Content: This lecture discusses basic architectures of microprocessor-based digital systems as they are employed in embedded systems and systems-on-chip today. The chapters and their topics:
Introduction. Challenges of Embedded System design, the design flow and design methodology.
Microprocessor Instruction sets. Comparison of a general-purpose CPU with a digital signal processing CPU.
Microprocessor Interfaces. Mechanisms and infrastructures for communication within embedded systems. Interrupts, bus systems, bus hierarchies.
Processes and Operating Systems. Fundamentals of multi-tasking in embedded systems.
Multiprocessors. Basic multi-processing architectures and communication schemes. Cache coherence.
Networks and Distributed Systems. Mechanisms and infrastructures for communication between embedded systems. Examples of network protocols.
Exam/ Study achievements:
Oral exam
Forms of media: Website, slides
Literature: W. Wolf: “Computers as Components”, Morgan Kaufman Publishers, ISBN 1-55860-693-9
49
EE-E5 (Section Electrical Engineering)
Module name: Operating Systems
Betriebssysteme
Abbreviation: Module No. EE-E5
Semester: 1st +4th
Module coordinator: Prof. Dr. techn. Gerhard Fohler
Lecturer: Prof. Dr. techn. Gerhard Fohler
Language: English
Classification within the curriculum:
Elective Module within the CVT-Curriculum
Teaching format / class hours per week during the semester:
2 h/week lectures; 1 h/week laboratory
Workload: Contact study workload: 42 hrs per term
Self-study workload: 78 hrs per term
Overall workload: 120 hrs per term
Credit points: 4
Recommended prerequisites:
Basic knowledge of programming and algorithms
Targeted learning outcomes:
Knowledge on and ability to use basic concepts and services of operating systems.
Understanding of topics like processes and threads, synchronization and mutual exclusion, deadlock, input/output.
Content: An operating system is software, which allows the operation of a computer. It provides the use of hardware to application software without detailed interaction with hardware. It manages resources such as 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
scheduling
Exam/ Study achievements:
Written exam
Forms of media: Computer Presentations, Handouts, Webpages
Literature: W. Stallings, Operating Systems: Internals and Design Principles
(German issue: Betriebssyteme. Funktion und Design)
50
EE-E6 (Section Electrical Engineering)
Module name: Fundamentals of Power Systems
Grundlagen von Energiesystemen
Abbreviation: Module No. EE-E6
Semester: 2nd
Module coordinator: Priv. Doz. Dr.-Ing. habil. Christian Tuttas
Lecturer: Priv. Doz. Dr.-Ing. habil. Christian Tuttas
Language: English
Classification within the curriculum:
Elective Module within the CVT-Curriculum
Teaching format / class hours per week during the semester:
3 h Lectures, 1 h Exercise
Workload:
Credit points: 5
Recommended prerequisites:
Targeted learning outcomes:
Content: Energy conversion, electrical machines, power electronics
Three-phase systems Single-phase a.c. circuits, balanced three-phase a.c. circuits
Magnetic circuits Linear magnetic circuits, real magnetic circuits (saturation, hysteresis, eddy currents)
Transformers Ideal transformer, technical transformer, transformer tests, per-unit system, three-phase transformers, autotransformer
D.C. Machine Structure, machine model
Three-phase windings Characteristics, air-gap field, space vectors
Induction machine Description and modelling, operating characteristics, number of poles
Synchronous machine Design, operation at constant voltage and frequency, operation at variable voltage and frequency
Introduction to power electronics Electrical power conversion, semiconductor switching devices, power electronic circuits (three-phase diode bridge rectifier, three-phase thyristor bridge converter, voltage source inverter, application examples)
Exam/ Study achievements:
exam written
Forms of media:
Literature:
51
EE-E7 (Section Electrical Engineering)
Module name: Assemblerprogramming
Assemblerprogrammierung
Abbreviation: Module No. EE-E7
Semester: 2nd
Module coordinator: Prof. Dr.-Ing. Gerhard Fohler
Lecturer: Prof. Dr.-Ing. Gerhard Fohler
Dr.-Ing. Peter Kosack
Language: German
Classification within the curriculum:
Elective Module within the CVT-Curriculum
Teaching format / class hours per week during the semester:
2 h Lectures, 1 h Exercise
Workload:
Credit points: 4
Recommended prerequisites:
Targeted learning outcomes:
Content: Grundkonzepte von Rechnern
von-Neumann-Architektur
Komponenten von Rechnern
Komponenten von Prozessoren am Beispiel
Befehlssatz
Assemblerprogrammierung
Entwicklungssystem
Unterprogrammtechnik
Interrupt
Echtzeitaspekte
Aspekte moderner Architekturen
Exam/ Study achievements:
exam written
Forms of media:
Literature:
52
EE-E8 (Section Electrical Engineering)
Module name: Fundamentals of Electric Power Engineering
Abbreviation: Module No. EE-E8
Semester: 1 st / 4 th
Module coordinator: Prof. Dr. G. Huth
Lecturer: Prof. Dr. G. Huth
Prof. Dr.-Ing. Wolfram Wellßow
Language: German
Classification within the curriculum:
Elective Module within the CVT-Curriculum
Teaching format 2 h Lectures, 2 h Exercise
Workload:
Credit points: 4
Recommended prerequisites:
-
Targeted learning outcomes:
Content: Grundlagen der Elektrotechnik aus energietechnischer Sicht, Grundlagen der Energieerzeugung und Übertragung, Grundlagen der Elektromagnetischen Energiewandlung und Antriebstechnik.
Exam/ Study achievements:
exam written
Forms of media:
Literature: D. Nelles; C. Tuttas: Elektrische Energietechnik, Teubner Verlag (ELT 215/064); H. O. Seinsch: Grundlagen elektr. Maschinen und Antriebe, Teubner Studienskript; H. Eckhardt: Grundzüge der Elektr. Maschinen, Teubner Studienbuch; Späth: Elektrische Maschinen und Stromrichter, G. Braun, Karlsruhe; Simon, Fransua u. a.: Elektrische Maschinen und Antriebssysteme, Vieweg
53
EE-E9 (Section Electrical Engineering)
Module name: Elektrische Antriebstechnik I
Electrical Drive Technology I
Abbreviation: Module No. EE-E9
Semester: 1st + 3rd
Module coordinator: Prof. Dr. G. Huth
Lecturer: Prof. Dr. G. Huth
Language: Deutsch (oder Englisch)
Classification within the curriculum:
Elective Module for CVT-Masterstudies
Teaching format / class hours per week during the semester:
3 h Lectures, 1 h Exercise
Workload:
Credit points: 5
Recommended prerequisites:
Targeted learning outcomes:
Content: Grundbegriffe der Antriebstechnik, Komponenten elektrischer Antriebssysteme, Transformatoren, konventionelle - und Stromrichterantriebe mit Gleichstrommaschinen, konventionelle und - Stromrichterantriebe mit Drehstrom-Asynchronmaschinen.
Exam/ Study achievements:
Oral exam
Forms of media:
Literature: H. O. Seinsch: Grundlagen elektr. Maschinen und Antriebe, Teubner Studienskript; Schröder: Elektrische Antriebe - Grundlagen, Springer; Riefenstahl: Elektrische Antriebstechnik, Teubner
54
EE-E10 (Section Electrical Engineering)
Module name: Linear Control Systems (Control Engineering I)
Lineare Regelungen (Regelungstechnik I)
Abbreviation: Module EE-E10
Semester: 1 st / 3rd
Module coordinator: Prof. Dr. S. Liu
Lecturer: Prof. Dr. S. Liu
Language: German / English as required
Classification within the curriculum:
Elective Module for CVT-Masterstudies
Teaching format / class hours per week during the semester:
3 h Lectures, 1 h Exercise
Workload:
Credit points: 5
Recommended prerequisites:
Targeted learning outcomes:
Content: Principle and structure of linear control systems, modelling, properties of linear time-invariant systems, transfer function, time and frequency response, state transformation, block diagram, open-loop and closed-loop systems, stability, dynamic compensation, Bode diagram design, root locus design, application examples
Exam/ Study achievements:
Exam written
Forms of media:
Literature: R. Dorf/R. Bishop: Moderne Regelungstechnik, Pearson Studium, 2005; O. Föllinger: Regelungstechnik, Hüthing Verlag, 1992 (L elt 264); J. Lunze: Regelungstechnik 1 und 2, Springer Verlag, 1997. L. Litz: Grundlagen der Automatisierungstechnik Oldenbourg Verlag, 2004
55
EE-E11 (Section Electrical Engineering)
Module name: Electronics II
Elektronik II
Abbreviation: Module EE-E11
Semester: 1 st / 3rd
Module coordinator: Prof. Dr.-Ing. Andreas König
Lecturer: Prof. Dr.-Ing. Andreas König
Language: German
Classification within the curriculum:
Elective Module for CVT-Masterstudies
Teaching format / class hours per week during the semester:
2 h Lectures, 1 h Exercise
Workload:
Credit points: 4
Recommended prerequisites:
Elektronik I, Messtechnik I.
Targeted learning outcomes:
Kenntnis von gleichspannungsgekoppelten, mehrstufigen Schaltungen mit Transistorlasten
Beherrschung der erweiterten Analyse von Mehrtransistorschaltungen anhand einfacher Modelle der Bauelemente (Arbeitspunktbestimmung, Kleinsignalanalyse) mit inhärenten Kapazitäten
Fähigkeit die Stabilität einer vorliegenden Verstärkeranordnung zu prüfen bzw. sicherzustellen
Kenntnis der relevanten Kenngrößen und Eigenschaften realer Operationsverstärker
Beherrschung des Einsatzes von Operationsverstärkern in Schaltungen mit frequenzabhängiger Beschaltung und zeitdiskreter Signalverarbeitung
Kenntnis des Schaltungssimulators (PSPICE) zur Ergebnisprüfung und korrektur
Content: Grundlagen von Schaltungen für und mit Operationsverstärkern
Erweiterung der Schaltungsgrundlagen aus Elektronik I auf gleichspannungsgekoppelte Schaltungen, frequenzabhängige Betrachtung, Transistorlasten
Erweiterte und vergleichende Betrachtung von Stromquellen und spiegeln, Differenzverstärkern, Inverterstufen, Kaskodestufen, Folger- und Gegentakt-ausgangsstufen mit Bipolar- und MOS-Transistoren
Grundbausteine von Operationsverstärkern und deren Zusammenschaltung
Stabilität und Kompensation von OPVs
Eigenschaften und Kenngrößen realer OPVs
Kontinuierliche und zeitdiskrete Filter (SC-Filter) Analogschalter und Abtasthalteglieder
Digital-Analog- und Analog-Digital-Umsetzer
Oszillatoren und Generatoren.
Exam/ Study achievements:
Exam written
56
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
EE-E12 (Section Electrical Engineering)
Module name: CAE in control engineering
CAE in der Regelungstechnik
Abbreviation: Module No. EE-E12
Semester: 3rd + 4th
Module coordinator: Dr.-Ing. C. Tuttas
Lecturer: Prof. Dr.-Ing. S. Liu und Dr.-Ing. C. Tuttas
Language: German or English
Classification within the curriculum:
Elective Module for CVT-Masterstudies
Teaching format / class hours per week during the semester:
2 h Lectures, 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
Recommended prerequisites:
Basics in automation
Targeted learning outcomes:
Ability to describe dynamic time continuous and time discrete systems 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 analysis
Content: 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/ Study achievements:
Oral or written exam
Forms of media: Overhead beamer or powerpoint slides
Literature: Weinmann: Computerunterstützung für Regelungsaufgaben, Springer Verlag, 1999
57
EE-E13 (Section Electrical Engineering)
Module name: Real-Time Systems and Applications I (RT I)
Echtzeitsysteme und Anwendung I
Abbreviation: Module No. EE-E13
Semester: 2nd
Module coordinator: Prof. Dr. techn. Gerhard Fohler
Lecturer: Prof. Dr. techn. Gerhard Fohler
& international experts/ guest lecturers
Language: English
Classification within the curriculum:
Elective Module for CVT-Masterstudies
Teaching format / class hours 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
Recommended prerequisites:
Programming, algorithms, operating systems, networks, computer architecure
Targeted learning outcomes:
Understanding of nature of real-time systems; why and how they differ from standard computing systems.
Knowledge of the major types of resource allocation schemes and addresses issues in QoS management.
Content: The course will provide understanding in the nature of real-time systems and why and how they differ from standard computing systems. It gives an overview of the major types of resource allocation schemes, including offline and online, and addresses issues 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, mediaprocessing
Exam/ Study achievements:
Oral exam
Forms of media: Computer presentation, handouts, webpage
Literature: Paper handouts during lecture.
58
EE-E14 (Section Electrical Engineering)
Module name: Real-Time Systems and Applications II (RT II)
Echtzeitsysteme und Anwendung II
Abbreviation: Module No. EE-E14
Semester: 3rd
Module coordinator: Prof. Dr. techn. Gerhard Fohler
Lecturer: Prof. Dr. techn. Gerhard Fohler
& international experts/ guest lecturers
Language: English
Classification within the curriculum:
Elective Module for CVT-Masterstudies
Teaching format / class hours 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
Recommended prerequisites:
Targeted learning outcomes:
Deeper understanding of real-time systems issues, especially in applications ranging from safety critical systems, such as airplanes and cars.
Content: This course will deepen the understanding of real-time systems issues of the course Real-time Systems I. It will cover additional topics, provide relations and deeper understanding between basic issues. 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 to the scientific contents
Brief information about related projects going on at the department.
Forms of media: Computer presentation, handouts, webpage
Literature: Giorgio Buttazzo, "Hard Real-Time Computing Systems: Predictable Scheduling Algorithms and Applications".
Content: 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 and synchronisation
Reliability of AT-systems
Influences of networking on reliability
59
Exam/ Study achievements:
Oral exam
Forms of media: Website, slides
Literature: Selected papers on actual solutions and overview papers on standard methods are presented on the website
EE-E15 (Section Electrical Engineering)
Module name: Model-based diagnosis in CVT
Modellbasierte Diagnose bei Nutzfahrzeugen
Abbreviation: Module No. EE-E15
Semester: 3rd
Module coordinator: Prof. Dr.-Ing. Steven Liu
Lecturer: Prof. Dr.-Ing. Steven Liu
Language: English
Classification within the curriculum:
Elective Module within the CVT-Curriculum
Teaching format / class hours per week during the semester:
Seminar, 2 hours per week, winter semester only
Workload: Contact-study workload: 28 h per term
Self-study study workload: 62 per term
Overall workload: 90 per term
Credit points: 3
Requirements under the examination regulations:
Recommended prerequisites:
Linear control systems
Targeted learning outcomes:
The module is especially designed for Commercial vehicles and offers practical and theoretical knowledge.
First Step to independent research works in the field of model based diagnosis in commercial vehicles
Content:
Exam/ Study achievements:
Seminar work, oral presentation
Forms of media: Website, slides
Literature: Will be announced at the beginning
61
EE-E16a (Section Electrical Engineering)
Module name: Sensorelektronik: Technologie und Entwurf integrierter gemischt analog-digitaler Schaltungen & Systeme (TESYS)
Technology and Concept of Integrated and Mixed Analog – digital Circuitry and Systems (TESYS)
Abbreviation: Module No. EE-E16a
Semester: 2nd + 4th
Module coordinator: Prof. Dr. A. König
Lecturer: Prof. Dr. A. König
Language: German or English
Classification within the curriculum:
Elective; advanced topic of sensor circuit design for industrial and automotive systems; balanced theoretical and practical contents; offered only at TU Kaiserslautern
Teaching format / class hours per week during the semester:
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
Recommended prerequisites:
Basics of semiconductor devices and electronic circuits, Electronics II
Targeted learning outcomes:
Knowledge of the required processes, methods, description approaches 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 common manufacturing technology (CMOS, BiCMOS) and design-kit (mixed-mode, mixed-signal)
Overview of common analog and mixed-signal-circuits and building blocks, their properties, and their integration (layout design)
Ability of independent realisation of a design project or a subproject 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.
62
Modelling, design and layout realisation of digital circuits as components in integrated mixed-signal electronics
Advanced issues : Noise, analog synthesis, testing, rekonfiguration, eigen- or self calibration, self-monitoring/-repair, adaptation
Exam/ Study achievements:
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., 2002
R.C. Jaeger, T.N. Blalock: Microelectronic Circuit Design. McGrawHill, 2003, ISBN 007-232099-0
Kenneth R. Laker, Willy M.C. Sansen, Design of Analog Integrated Circuits 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, 2001
Jaeger, Introduction to Microelectronic Fabrication, Prentice Hall 2002
Geiger/Allen/Strader, VLSI Design Techniques for Analog and Digital Circuits
Grey/Meyer, Analysis and Design of Analog Integrated Circuits
63
EE-E16b (Section Electrical Engineering)
Module name: Sensorelektronik: Herstellungsverfahren und Entwurf integrierter Sensorsysteme (HEIS)
Production Process and Concept of Integrated Sensor Systems (HEIS)
Abbreviation: Module No. EE-E16b
Semester: 3nd
Module coordinator: Prof. Dr. A. König
Lecturer: Prof. Dr. A. König
Language: German or English
Classification within the curriculum:
Elective; advanced topic of sensor circuit design for industrial and automotive systems; balanced theoretical and practical contents; offered only at TU Kaiserslautern
Teaching format / class hours per week during the semester:
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: 5
Recommended prerequisites:
Basics of semiconductor devices and electronic circuits, Electronics II
Targeted learning outcomes:
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 with electronics
Conceptual understanding and mastery of a design system (SoftMEMS/Cadence DFW II in conjunction with common manufacturing technologies (EUROPRACTICE))
Ability of the independent realization of an individual design project or a subproject in the context of a larger group project (MPC/MUMPS)
Content: Structure and design principles of standard CMOS-compatible sensors (2D/3D-image sensors, color- and NIR-sensors etc.)
Sensor architectures and compensation of deviations and cross-sensitivities
Extension of standard technologies by additional processing steps, 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
64
Modelling and simulation techniques (e.g., different energy 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/ Study achievements:
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 Biology and Engineering, Springer, 2003.
M. Kasper, Mikrosystementwurf – Entwurf und Simulation von Mikrosystemen, Springer 2000.
T. Elbel, Mikrosensorik - Eine Einführung in Technologie und physikalische Wirkungsprinzipien von Mikrosensoren, Vieweg, 1996.
W. Nachtigall, Kurt G. Blüchel, Bionik – Neue Technologien nach dem Vorbild der Natur, DVA, 2000.
65
EE-E17 (Section Electrical Engineering)
Module name: Sensor Signals Processing
Sensorsignalverarbeitung (SENSIG)
Abbreviation: Module No. EE-E17
Semester: 3rd
Module coordinator: Prof. Dr. A. König
Lecturer: Prof. Dr. A. König
Language: German or English
Classification within the curriculum:
Elective; advanced topic of sensor information processing for industrial and automotive systems, e.g., assistance systems; balanced theoretical and practical contents; offered only at TU Kaiserslautern
Teaching format / class hours per week during the semester:
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
Recommended prerequisites:
Basics of information and signal processing, measurement and instrumentation.
Targeted learning outcomes:
Understanding of relevant principals and methods from the field of 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 achieved implementation to changing needs
Understanding of interdependence of system solution with available, 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 by linear and non-linear methods, e.g. by explicit selection of features
Methods of cluster analysis
Methods for multi-dimensional sensor data analysis: projection and visualisation, fusion
Methods for classification of sensor data: statistical pattern recognition, artificial neural networks, Methods of rule-based and fuzzy classification Advanced optimization methods for parameter- or structure optimization of sensor systems
Relations, dependencies, and optimization potential between
66
sensor realization, electronics, and algorithmics.
New aspects of reliable sensor systems (self-x properties)
Exam/ Study achievements:
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, ISBN 0471056693
67
EE-E18 (Section Electrical Engineering)
Module name: Seminar Electromobility
Abbreviation: Module No. EE-E18
Semester: 1st + 2rd
Module coordinator: Jun. Prof. Dr.-Ing. Daniel Görges
Lecturer: Jun. Prof. Dr.-Ing. Daniel Görges
Language: German or English
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
2 hours per week
Workload:
Credit points: 3
Recommended prerequisites:
Targeted learning outcomes:
Content: Im Seminar sollen Methoden zur Ausarbeitung und Präsentation einer wissenschaftlichen Themenstellung erlernt werden. Hierzu gehören die Literatur- und Internetrecherche sowie das Lesen und Aufbereiten meist englischsprachiger Fachartikel. Hinzu kommen gegebenenfalls kleinere simulative und praktische Untersuchungen. Neben der wissenschaftlichen Arbeit werden insbesondere auch die Teamarbeit und Präsentationstechniken als wichtige Soft Skills trainiert.
Exam/ Study achievements:
Oral examination based on semester project
Forms of media:
Literature:
68
EE-E19 (Section Electrical Engineering)
Module name: Electric and Hybrid Vehicles
Elektro- und Hybridfahrzeuge
Abbreviation: Module No. EE-E19
Semester: 2rd
Module coordinator: Jun. Prof. Dr.-Ing. Daniel Görges
Lecturer: Jun. Prof. Dr.-Ing. Daniel Görges
Language: German / English as required
Classification within the curriculum:
For Master Degree “Commercial Vehicle Technology”
as elective module
Teaching format / class hours per week during the semester:
2 hours per week
Workload:
Credit points: 3
Recommended prerequisites:
Lineare Regelungen, Optimal Control, CAE in der Regelungstechnik und Model Predictive Control
Targeted learning outcomes:
Content: Elektro- und Hybridfahrzeuge sind eine Schlüsseltechnologie für eine ressourcen- und klimaschonende Mobilität. Die Forschung und Entwicklung auf diesem Gebiet wird daher seit einigen Jahren sowohl im industriellen als auch im akademischen Bereich stark vorangetrieben. Entsprechend hoch ist der Bedarf an spezialisierten Ingenieuren. In dieser Vorlesung werden die Grundlagen von Elektro- und Hybridfahrzeugen, insbesondere die Architekturen, die Modellierung und das Energiemanagement, vermittelt und anhand zahlreicher Fallstudien auf Basis realisierter Fahrzeugkonzepte vertieft. Während der gesamten Vorlesung werden die Modellierungs- und Energiemanagementmethoden unter MATLAB/Simulink mit spezialisierten Toolboxen veranschaulicht. Zur praktischen Anwendung der erworbenen Kenntnisse ist ergänzend ein Energiemanagementwettbewerb geplant.
Exam/ Study achievements:
Oral examination
Forms of media:
Literature:
69
SoSc-E1 (Section Social Sciences)
Module name: Einführung in die Soziologie
Introduction in Sociology
Abbreviation: Module No. SoSc-E1
Semester: 3 rd
Module coordinator: Weber
Lecturer: Prof. Dr. Henning Best
Language: Deutsch
Classification within the curriculum:
The module is an Elective Module in CVT. Note: 10 Credits Points must be gained from block “soft skills and social sciences”
Teaching format / class hours per week during the semester:
2 h Vorlesung
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)
Recommended prerequisites:
Targeted learning outcomes:
Fähigkeit, Gesellschaften zu analysieren und soziologische Texte zu verstehen
Content: Die Veranstaltung vermittelt einen Überblick über zentrale Themen der systemtheoretischen Soziologie. Die Theorie sozialer Systeme stellt gegenwärtig eine der umfassendsten und am weitesten entwickelten 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 (international or industry):
Exam/ Study achievements:
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
70
Luhmann, N. Organisation und Entscheidung, Opladen, 2000
Schimank, U./Schöneck, M. Hg. (2008) Gesellschaft begreifen. Einladung zur Soziologie, Frankfurt new York
71
SoSc-E2 (Section Social Sciences)
Module name: Sociology of industrial relations : Theory, Mehtod, Empiricism (Political Sociology)
Abbreviation: Module No. SoSc-E2
Semester: 3rd
Module coordinator: Dr. Karina Becker
Lecturer: Dr. Karina Becker
Language: Deutsch
Classification within the curriculum:
The module is an Elective Module in CVT. Note: 10 Credits Points must be gained from block “soft skills and social sciences”
Teaching format / class hours per week during the semester:
2 hours per week
Workload:
Credit points: 3-9
Recommended prerequisites:
Targeted learning outcomes:
Content:
Cooperation (international or industry):
Exam/ Study achievements:
Forms of media:
Literature:
74
L 1
Module name: Project „Commercial Vehicle Technology“
(University or working student in industry)
Abbreviation: L1
Semester: 3rd
Module coordinator: Student must find a professor among the three faculties willing to supervise the project work
Lecturer: -
Language: -
Classification within the curriculum:
The project work is mandatory for all master students. For students from Germany, Austria, Switzerland or Luxemburg it is recommended to combine this work with an internship or a study term in a foreign country.
Teaching format / class hours per week during the semester:
Self studies or project work.
Workload: 4 Months á 75 hrs, overall workload 300 hrs equates an employment from 4 to 6 month in an industrial concern.
Working student contracts may be 4 to 6 months
Credit points: 10
Recommended prerequisites:
Can be started at any time if at least 50 CP are gained
Targeted learning outcomes:
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 (international or 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/ Study achievements:
Technical written documentation on project planning, work and output.
Forms of media: -
Literature: -
75
L 2
Module name: Master Thesis
Abbreviation: L2
Semester: 4th earliest
Module coordinator: Student must find a professor among the three engineering faculties willing to supervise the master thesis
Lecturer: -
Language: -
Classification within the curriculum:
The master thesis is mandatory for all master students.
Teaching format / class hours per week during the semester:
Self studies or project work.
Workload: 6 Months á 150 hrs, overall workload 900 hrs
Credit points: 30
Recommended prerequisites:
Can be started at any time if at least 83 CP are gained
Targeted learning outcomes:
Student shows his/her ability to work autonomously to a large extent under direction of a professor or assistant on an engineering task and is able to solve it.
Content: Engineering project of manageable size.
Cooperation (international or industry):
Working on an industry project under supervision of a professor is possible. Company should be part of CVT industry.
Exam/ Study achievements:
Technical written documentation on project planning, work and output.
Oral presentation of the project
Forms of media: -
Literature: -
SM-P1
Module name: German Language Course (DSI-Course)
Abbreviation: Module SM-P1
Semester: 1st & 2nd
Module coordinator: Dr.-Ing. P. Memar (International School for Graduate Studies)
Lecturer: Inka Claussen
Language: German
Classification within the curriculum:
Mandatory module in the first two semesters
Teaching format / class hours per week during the semester:
Intensive Language and Orientation Course (incl. Lectures, Exercises and Laboratories).
Intensive course (6-8 weeks) in summer or spring previous to the start of the lectures.
The course is continued during the lecture period (1st and 2nd semester).
Workload: Approx. 300 hrs
Credit points:
Recommended prerequisites:
None. The courses are offered in different levels.
Targeted learning outcomes:
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 (international or industry):
Exam/ Study achievements:
DSI – exam (Deutsche Sprachprüfung für Studierende in internationalen Studiengängen) after the 2nd semester.
The accomplishment of the DSI-exam is a precondition for continuing the study course.
Forms of media:
Literature: Will be handed out in the course
78
SM-P2
Module name: CVT - Introduction to Programming with CC++
CVT - Einführung in die Programmierung in C++
Abbreviation: Module SM-P1
Semester:
Module coordinator: apl. Prof. Dr. Achim Ebert
Lecturer: apl Prof. Dr. Achim Ebert
Roger Daneker
Language: English
Classification within the curriculum:
Teaching format / class hours per week during the semester:
Workload:
Credit points:
Recommended prerequisites:
Targeted learning outcomes:
Content:
Cooperation (international or industry):
Exam/ Study achievements:
Passing this course is mandatory for CS-M4 CVT-Programming-Project
Forms of media:
Literature: Tony Gaddis et al.: "Starting Out with C++. Early Objects"; Prentice Hall; 7th revised edition; 2010; ISBN 978-0131377141;
Link: http://www.pearson-studium.de/main/main.asp?page=bookdetails&ProductID=181397
top related