Artificial Intelligence in Automotive Engineering
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
MW2378 is a semester module in German or English language at Master’s level which is offered in winter semester.
This Module is included in the following catalogues within the study programs in physics.
- Catalogue of non-physics elective courses
|Total workload||Contact hours||Credits (ECTS)|
|150 h||45 h||5 CP|
Content, Learning Outcome and Preconditions
• Basic knowledge in Python
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||2||Artificial Intelligence in Automotive Engineering||Lienkamp, M.||
Thu, 16:15–17:45, Interims II 004
Thu, 16:15–17:45, Interims I 101
|UE||1||Artificial Intelligence in Automotive Engineering - Exercise||Lienkamp, M.||
Thu, 17:45–18:30, Interims II 004
Thu, 17:45–18:30, Interims I 101
Learning and Teaching Methods
After each lecture unit, corresponding learning and programming tasks are handed over to the students in the form of a homework assignment, which deal with the subject matter of the learning unit and serve as preparation for the examination. For example, this is the detection of lanes in Chapter 2 Computer Vision or the detection of vehicles in Chapter 4 by Support Vector Machines. These programming tasks teach the students how machine learning methods can be converted into appropriate code and at the same time how to apply this to problems in vehicle technology.
Tom M. Mitchell, Machine Learning, 1997
Christopher M. Bishop, Pattern Recognition and Machine Learning, 2007
David Barber, Bayesian Reasoning and Machine Learning, 2012
Michael Nielsen Neural Networks and Deep Learning, 2014
Pendelten et. al, Perception, Planning, Control, and Coordination for Autonomous Vehicles, Machines 2017, 5(1), 6; https://doi.org/10.3390/machines5010006
Description of exams and course work
By completing the homework after the lecture and submitting 50.00 % correct results (calculated from the average of the percentage points achieved over all individual homework assignments), a grade bonus for the exam can be achieved.
There is a possibility to take the exam in the following semester.
Current exam dates
Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.
|Artificial Intelligence in Automotive Engineering|
|Tue, 2020-03-10, 13:30 till 15:00||MW: 1801
Interims II: 003
Interims II: 004
|Import||till 2020-01-15 (cancelation of registration till 2020-02-25)|