Institute of Mechatronic Systems Studies Master Lectures
Data and AI-driven Methods in Engineering

Data and AI-driven Methods in Engineering

The scope of the lecture Data and AI-driven Methods in Engineering covers novel methods from the field of artificial intelligence in the context of relevant engineering application areas. Students learn to solve challenging real-world problems using appropriate algorithms, including machine learning tools.


Organisation

Lecturer:

  • Prof. Dr.-Ing. Thomas Seel

Term:

  • summer term

Lectures: 

  • Tuesday, 13:00 - 14:30 h in room 002, building 8132. A live stream is provided via Stud.IP (Big Blue Button).

Practical exercises:

  • Tuesday, 14:45 - 15:30 h in room 002, building 8132. A live stream is provided via Stud.IP (Big Blue Button).

 

Contact

M. Sc. Jan-Hendrik Ewering
Research Staff
Address
An der Universität 1
30823 Garbsen
Building
Room
M. Sc. Jan-Hendrik Ewering
Research Staff
Address
An der Universität 1
30823 Garbsen
Building
Room