Problem Based Learning Bioinformatics (PBL) (IN2343)

This course focuses on the application of machine learning to predict various aspects of protein function. Students will work in groups of 4-5 students on the same topic, but will focus on different aspects of the given problem. They will present their topic and biological background as well as their dataset together. They will work on the same prediction task, but will follow different approaches as discussed with their supervisor. In the end, each group will merge their result and will present the results and a final conclusion in a talk and a written scientific report.

During this course, independent of the assigned prediction task, students are going to: - perform literature research of a selected topic - get a general understanding of machine learning and how to apply machine learning to biological data - develop, evaluate, and compare a machine learning model to state-of-the-art methods (using Python 3) - present milestones and final results in various presentations to the other students and supervisors - summarize results in a paper-like scientific report at the end of the course

Times

The lecture will happen on Mondays 10 - 12 in MI 01.09.034 (Garching)

The room is booked from 8 - 10 for students to attend the Biology lecture