Artificial Intelligence in Automotive Engineering
Course 0000001661 in SS 2024
General Data
Course Type | lecture |
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Semester Weekly Hours | 2 SWS |
Organisational Unit | Chair of Automotive Technology (Prof. Lienkamp) |
Lecturers |
Markus Lienkamp Responsible/Coordination: Frank Diermeyer |
Dates |
Thu, 17:00–18:00, virtuell |
Assignment to Modules
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MW2378: Künstliche Intelligenz in der Fahrzeugtechnik / Artificial Intelligence in Automotive Engineering
This module is included in the following catalogs:- Catalogue of non-physics elective courses
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
additional remarks | The lecture covers all relevant aspects in the field of "Artificial Intelligence" with a special focus on "Machine Learning" and "Deep Learning" techniques. In addition, all theoretical aspects will be related to automotive technology topics.1. Introduction2. Supervised Learning - Regression3. Supervised Learning - Classification4. Unsupervised Learning - Clustering5. Introduction to Neuronal Networks6. Deep Neuronal Networks7. Convolutional Neuronal Networks8. Knowledge Graphs and Graph Neural Networks9. Recurrent Neuronal Networks10. Transformer11. Reinforcement Learning12. AI-Development |
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Links |
E-Learning course (e. g. Moodle) TUMonline entry |