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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.
Applied Informatics, Bachelor, ASPO 01.10.2022
Module code: PIB-ATEC
SAP-Submodule-No.:
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.
P200-0003
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 (2 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.
3
Semester: 4
Mandatory course: no
Language of instruction:
German
Assessment:


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

E1614 (P200-0003) Electrical Engineering, Bachelor, ASPO 01.10.2012 , semester 6, mandatory course
E2433 Electrical Engineering and Information Technology, Bachelor, ASPO 01.10.2018 , optional course, technical
KI620 (P200-0003) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2014 , semester 6, optional course, technical
KIB-ATEC (P222-0111) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2021 , semester 6, optional course, technical
KIB-ATEC (P222-0111) Computer Science and Communication Systems, Bachelor, ASPO 01.10.2022 , semester 6, optional course, technical
PIBWI33 (P200-0003) Applied Informatics, Bachelor, ASPO 01.10.2011 , semester 6, optional course, informatics specific
PIB-ATEC (P200-0003) Applied Informatics, Bachelor, ASPO 01.10.2022 , semester 4, optional course, 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).
30 class hours (= 22.5 clock hours) over a 15-week period.
The total student study time is 90 hours (equivalent to 3 ECTS credits).
There are therefore 67.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Horst Wieker
Lecturer: Prof. Dr. Horst Wieker

[updated 10.11.2016]
Learning outcomes:
After successfully completing this module, students will have developed an understanding of how information is generated and distributed within a vehicle.
Students will be able to name the advantages and disadvantages of bus systems, as well as the various fields of application
where bus systems are normally used.  
In addition, students will be able to list the data typically generated in modern vehicles and the connections between this data and assistance systems.  Students will be aware of the fundamental problems of automated driving and its connection with telematics systems.  
 
Students will be capable of demonstrating the basic motivation behind Cooperative Intelligent Transports Systems (C-ITS).  They will be able to
reconstruct the basic standardization use cases and explain how messages are structured using given scenarios.  Students will be capable of solving routing problems by calculating the best propagation path.  Lastly, they will be able to explain how information from vehicle bus systems is used in the context of automated driving.
 


[updated 26.02.2018]
Module content:
This course will give students an insight into automotive engineering and explain how data is generated and communicated in this field.
 
1. Overview of different bus systems, in particular CAN
2. Introduction to driver assistance systems
3. Introduction to automated driving
4. Introduction to V2X communication
5. V2X communication use cases
6. Protocols and algorithms in V2X communication
 


[updated 26.02.2018]
Teaching methods/Media:
Beamer, board

[updated 19.02.2018]
Recommended or required reading:


[still undocumented]
Module offered in:
SS 2022, SS 2021, SS 2020 
[Fri Dec 27 16:38:18 CET 2024, CKEY=eac, BKEY=pi2, CID=PIB-ATEC, LANGUAGE=en, DATE=27.12.2024]