SS 2026 Lecture: Foundations of Artificial Intelligence
HISinOne number: 11LE13V-2040 Time: Tuesdays and Fridays 10:00 c.t. – 12:00 Location: Building 101, HS 00 036 Instructors: JProf. Dr. Maria Kalweit, jointly organized with Prof. Joschka Boedecker, Dr. Tim Welschehold, and Dr. Steven Adriaensen
SS 2026 Lecture: Machine Learning for Health
HISinOne number: 11LE13V-1407_PO 2020 Time: Tuesdays 14:00 c.t. – 16:00 Location: Building 101, SR 00-010/14 Instructors: JProf. Dr. Maria Kalweit
WS 2025/ 26 Master Seminar: Applicable AI for Health
Machine learning, with its advanced algorithms and predictive modeling capabilities, is transforming many domains, including healthcare. This seminar highlights opportunities, challenges and limitations of applying AI in clinical settings. Students will investigate state-of-the-art publications and engage in critical discussions on the unique challenges of medical data, such as limited sample sizes, noise, missing values, and potential biases.
Introduction Lecture: October 16, 2025 10:00 – 11:00
As machine learning models are increasingly deployed in high-stakes domains such as healthcare, questions of trust, transparency, and accountability become critical. This seminar explores methods and perspectives on making AI systems understandable and reliable. Students will examine state-of-the-art approaches to interpretability and explainability, discuss how trustworthiness affects decision-making, and critically analyze challenges.
Introduction Lecture: October 16, 2025 11:00 – 12:00