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AV Artificial Intelligence

MW2378Elective Modules5 ECTSEnglishwinter semesterDepartment Mobility Systems Engineering
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will obtain a comprehensive overview of methods of artificial intelligence and machine learning with practical relevance to vehicle technology. In the end you will be able to select appropriate ML methods for various questions in vehicle technology and implement them in code (e.g., for autonomous driving tasks).

What you will be able to do

  • Overview of AI- and ML-methods
  • Selection of suitable ML methods for given problems
  • Implementation of ML methods in code (Python)
  • Application of the methods to vehicle technology problems (e.g., lane and vehicle detection)
  • Understanding the fundamental mathematics behind ML methods

What the module consists of

  • VorlesungDelivery of theoretical fundamentals, practical examples and code examples; regular homework for application and exam preparation

Teaching method

  • Vortrag/PräsentationIntroduction and explanation of the theoretical fundamentals
  • Tablet-PC-DemonstrationenDerivation and illustration of complex concepts
  • Interaktive Fragen/ DiskussionPromotion of transferability and deeper understanding
  • Codebeispiele/ProgrammierübungenPractical implementation of ML methods, application to vehicle technology
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Official page in TUMonline · Details are not binding.