inf5452 - Current Topics in Trustworthy Machine Learning - Campusmanagementsystem Stud.IP

inf5452 - Current Topics in Trustworthy Machine Learning

Department of Computing Science

3 KP

Semester courses Winter semester 2024/2025

Type of course: Seminar

2.01.5452 - Current Topics in Interpretable/Explainable AI (XAI)
- Prof. Dr. Nils Strodthoff
Monday: 08:00 - 10:00, weekly (from 14/10/24)

Notes on the module

Prerequisites	The seminar requires attending a foundational lecture in the field of Machine Learning and/or Deep Learning.
Prüfungszeiten	at the end of the lecture period/ intermediate exams
Module examination	oral exam / portfolio / presentation
Skills to be acquired in this module	Professional competence The students gain an exemplary overview of challenges and existing solution approaches in their respective problem domains and can contextualize these within the broader methodological context. 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.