Modules

Prerequisites

Contents

Students learn about specific state-of-the-art problems and methodological approaches used in bioinformatics. The application areas will range from fundamental bioinformatics problems in basic science to applications in medical diagnostics, understanding cellular processes relevant to diagnosis and disease, as well as mechanisms for treating diseases. Methods will include both algorithmic and machine learning approaches.

Learning outcomes

After successfully completing the module, students will have acquired the skills needed to use computer science literature in order to familiarize themselves with a new, complex topic. They will be able to present the results, in oral as well as in written form.

Assessment

• Seminar presentation, 30-45 minutes (40 %) • Written report of the seminar presentation, 10-15 pages (40 %) • Active participation in courses (20 %)

Remarks

• Study programme Artificial Intelligence M.Sc.: Compulsory elective module in complex „Seminars or Laboratories“ • Study programme Informatik M.Sc.: Compulsory elective module in complex „Seminare oder Praktika“ (level 400)