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M3L Courses and Seminars (Summer Semester 2026)
The M3L group explores how people interact with and learn from intelligent systems. Our summer semester 2026 courses span visual analytics, human-computer interaction, modern information retrieval and data science in sports & health.
Visual Analytics (Lecture & Exercise)
Course description will be added shortly. For up-to-date information on content, requirements, and enrollment, please consult the university course catalogue on ILIAS.
Data Science in Sports and Health (Seminar)
Data Science and Machine Learning are transforming the analysis of multimodal data in sports and training sciences. Applications range from machine learning–based computer vision techniques that extract semantic insights from images and videos, to large vision-language models (LVLMs) capable of interpreting data across multiple domains and modalities. These methods enable informed prediction, improved in-game decision-making, and comprehensive post-hoc performance analysis in sports and health contexts.
Human-AI Interaction in Modern IR (Seminar)
Topics in Human-Computer Interaction: User Research for Interactive Systems (Seminar)
Everyday life is full of interactive systems—apps on our phones, AI chatbots like ChatGPT, and complex software systems to name but a few. These systems rely on core areas of Computer Science such as graphics, databases, and machine learning. Yet, technical efficiency alone doesn't tell us whether people actually find these systems useful, usable, or enjoyable.
This seminar will give you hands-on experience in studying how people use technology. You will learn practical methods to design, run, and analyze user studies that reveal how effectively interactive systems support real users. Topics include experiment design, data collection, usability testing, and interpreting results.