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Automotive Engineering

Module name (EN): Automotive Engineering
Degree programme: Computer Science and Communication Systems, Master, ASPO 01.04.2016
Module code: KI851
Hours per semester week / Teaching method: 2V+2P (4 hours per week)
ECTS credits: 5
Semester: 2
Mandatory course: no
Language of instruction:
Composition and written exam
Curricular relevance:
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 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 Applied Informatics, Master, ASPO 01.10.2017, semester 1, optional course, not informatics specific
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
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
[Thu Jul  9 04:05:39 CEST 2020, CKEY=ka, BKEY=kim, CID=KI851, LANGUAGE=en, DATE=09.07.2020]