Machine Learning for Electrical Engineering Applications

1. Introduction to data analytics

2. Regression

3. Classification

4. Feature engineering, selection

5. Neural Networks

6. Develop an ML workflow

7. Geometric Deep Learning

8. Tree-based methods

9. Reinforcement learning

10. Hardware in ML

Written exam (70%), project (20%), homework (10%). In case of insufficient results for the homework or project, a repair option may exist in accordance with Article 2, Examination requirements, Clause 4, of the Implementation Regulations 2023-2024. The repair option is to resubmit the individual project or homework within 10 days after announcing the homework or project grade.

In case of an insufficient final result, repair options may exist in accordance with Article 17A, Times and number of examinations, sub 1, of the Teaching and Examination Regulations.

Disclaimer: information may change depending on unforeseen circumstances or measures (see: TER Art 2, sub 5).