After successful completion of the course, students are able to...
...if they choose an applied project.
...if they choose a theoretical project.
The students can choose between a theoretical or applied project (or a combination).
You can find some suggestions for projects on our homepage. We also look forward to hearing your own creative and concrete project ideas (check criteria on homepage).
The goal of the applied project is to understand, (re)implement, and apply machine learning algorithms. Selected algorithms should be evaluated with a variety of hyperparameters, data sets, and/or applications. Expected results could include:
The goal of the theoretical project is to work on specific theoretical research questions in the area of machine learning. Expected results could include:
The main part of this project consists of implementing existing learning algorithms or work on theoretical results. During the project, the students will continuously give progress presentations and receive formative feedback. Finally, the students will give a full presentation and submit a report summing up the outcome.
3ects -> 75h8h literature search and proposal writing12h preparing and attending presentations and project meetings42h work on the project13h writing the project report
All course meetings are hybrid (tentatively). The students can choose to come to our meeting room in person, or join the Zoom call.
The final grade is derived from the quality of