inf5454 - Current Topics of Machine Learning in (bio-)medicine (Course overview) - Campusmanagementsystem Stud.IP

inf5454 - Current Topics of Machine Learning in (bio-)medicine (Course overview)

Department of Computing Science

3 KP

Semester courses Summer semester 2025

Type of course: Seminar

2.01.5454 - Current Topics in Artificial Intelligence for Health
- Prof. Dr. Nils Strodthoff
Friday: 10:00 - 12:00, weekly (from 11/04/25)

Notes on the module

Prerequisites	Knowledge in the basics in the area of machine learning and / or deep learning Previous knowledge is desirable, knowledge in the analysis of (bio)medical data is also advantageous
Prüfungszeiten	at the end of the lecture period/ mid-term exams
Module examination	oral exam or portfolio or presentation
Skills to be acquired in this module	Professional competence The students gain an exemplary overview of application areas of machine learning in biomedicine and can contextualize the discussed topics within broader methodological and application contexts Methodological competence The students can independently explore topics using current research literature and critically reflect upon them. Social competence The students can present solution approaches for problems in this area to the plenary and defend them in discussions. Self-competence The students are able to assess their own subject-specific and methodological competence. They take responsibility for their competence development and learning progress and reflect on these independently. In addition, they independently work on learning content and can critically reflect on the content.