Lab: Machine Learning

The aim is to gain practical experience with methods and algorithms of artificial intelligence/machine learning as part of a trimester-long team project.

Students choose a project from the list of projects on offer. The projects can be divided into two categories:

  • Academic projects, which are usually based on published work. The aim is to reproduce the authors' results with some extensions and applications to new data sets.
  • Application-specific projects, which relate to the analysis of interesting data sets from different application areas.


At the end of the term, students should deliver good code (Python notebook) and a short report (max. 5 pages) and present their work - in a 20-minute presentation and a 10-minute Q&A slot during a block practical at the end of the term.