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Automotive Engineering

Module name (EN):
Name of module in study programme. It should be precise and clear.
Automotive Engineering
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Computer Science and Communication Systems, Master, ASPO 01.04.2016
Module code: KI851
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2V+2P (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 2
Mandatory course: no
Language of instruction:
German
Assessment:
Composition and written exam

[updated 26.02.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E1984 Electrical Engineering, Master, ASPO 01.10.2013 , optional course, technical
KI851 Computer Science and Communication Systems, Master, ASPO 01.04.2016 , semester 2, optional course, telecommunications-specific
KIM-ATEC (P200-0029, P200-0030) Computer Science and Communication Systems, Master, ASPO 01.10.2017 , semester 1, optional course, telecommunications-specific
PIM-WI74 Applied Informatics, Master, ASPO 01.10.2011 , semester 2, optional course, not informatics specific
PIM-ATEC (P200-0029) Applied Informatics, Master, ASPO 01.10.2017 , semester 1, optional course, not informatics specific
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
KI720 Protocols in Public and Private Networks


[updated 29.07.2015]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Horst Wieker
Lecturer:
Prof. Dr. Horst Wieker
Manuel Fünfrocken, M.Sc.
Sebastian Weber, M.Sc. (practical training)


[updated 29.07.2015]
Learning outcomes:
Students will be able to name the advantages and disadvantages of the most common bus systems, as well as their various fields of application. They will be able to encode/decode simple sensor and actuator information on the CAN bus and understand and adapt predefined addressing schemes. When problems occur, students will be able to systematically search for errors. In addition, students will be able to list the data typically generated in modern vehicles and the connections between this data and assistance systems.
 
They will be capable of demonstrating the basic motivation behind Cooperative Intelligent Transports Systems (car-2-car). Students will be able to reconstruct basic standard use cases and, based on given scenarios, independently determine how messages must to be composed in order to implement the applications. Students will be capable of solving routing problems by calculating the best propagation path.


[updated 26.02.2018]
Module content:
* Car-2-Car and GeoNetworking (theory)
 
* CAN Bus in detail (theory)
 
* CAN Bus in detail (practice)
 
* FlexRay Bus in detail (practice)
 
* Car-2-Car and GeoNetworking (practice)
   - Wrong-way driver warning
   - Traffic light assistant
   - Intersection assistant
   - Emergency vehicle warning system
 
* Communication-based assistance systems
   

[updated 26.02.2018]
Recommended or required reading:


[still undocumented]
Module offered in:
WS 2018/19, WS 2017/18, WS 2016/17, WS 2015/16, SS 2009
[Fri Jul 12 23:59:07 CEST 2024, CKEY=ka, BKEY=kim, CID=KI851, LANGUAGE=en, DATE=12.07.2024]