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Automotive Technology and Vehicle Telematics Systems

Module name (EN):
Name of module in study programme. It should be precise and clear.
Automotive Technology and Vehicle Telematics Systems
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: KI738
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
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.
4V (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.
Semester: 1
Mandatory course: no
Language of instruction:
Written examination

[updated 12.03.2010]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E918 Electrical Engineering, Master, ASPO 01.10.2005 , semester 9, mandatory course
KI738 (P222-0110) Computer Science and Communication Systems, Master, ASPO 01.04.2016 , semester 1, optional course, telecommunications-specific
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):
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Horst Wieker
Lecturer: Prof. Dr. Horst Wieker

[updated 09.01.2010]
Learning outcomes:
This lecture course covers more than just data acquisition and processing in automotive systems and goes beyond functions such as ESP and blind spot monitoring. Current research work will be examined to show how cars can exchange data and how so-called ‘data fusion’ can provide new interpretations of vehicle data, such as hazard detection. One of the areas is linking sensor data to generate information about the state of the road surface or visibility conditions.
Students will learn about the currently established information transfer channels (C2C: car-to-car; C2I: car-to-infrastructure). After completing this course of lectures, students will be able to view an automobile as an application and to develop new car-centred services for the automotive sector.

[updated 12.03.2010]
Module content:
1.Sensors in vehicle systems
2.Advanced vehicle dynamics
3.Control processes in ABS and ESP systems and their extensions
4.Data generation and distribution models (C2C, C2I)
5.Relevance checking of information
6.Data transmission systems and their effects on message distribution
  ad-hoc networks, wireless LAN 802.11x, 802.16, 802.20, GPRS, UMTS, DRSC

[updated 12.03.2010]
Teaching methods/Media:
Video projector, blackboard, lecture notes

[updated 12.03.2010]
Recommended or required reading:
Accompanying lecture notes

[updated 12.03.2010]
Module offered in:
SS 2016, WS 2014/15, WS 2013/14
[Sat Jul 13 00:11:15 CEST 2024, CKEY=eauts, BKEY=kim, CID=KI738, LANGUAGE=en, DATE=13.07.2024]