Courses offered in SS 2026
As Large Language Models (LLMs) become more capable, researchers and practitioners are exploring whether these systems can reflect on their own reasoning, identify their errors, and improve independently. This emerging area of AI self-reflection goes beyond self-correction. It focuses on a model’s capacity not only to revise its answers but also to reason about its […]
A blended learning bridge course for master’s students in Data Science, Computational Social Science, and related programs.
Large Language Models (LLMs), such as GPT, Claude and Llama, are powerful tools that have transformed the landscape of Natural Language Processing (NLP), enabling advanced applications in various fields. The “Building Large Language Model Applications,” course is a practical, hands-on course designed to provide students with in-depth knowledge and experience in developing applications utilizing LLMs. […]
Health data analytics is one of the main drivers for the future of medicine. Various sources of big data, including patient records, diagnostic images, genomic data, wearable sensors, are being generated in our everyday life by health care practitioners, researchers, and patients themselves. Data science aims to identify patterns, discovering the underlying cause of diseases […]
Die Vorlesung “Datenbanken und Informationssysteme” gibt einen einführenden Überblick über Datenbanken und ihre Verwendung in Informationssystemen.
Generative AI unlocks new potentials supporting tasks in many fields – including data management. It can significantly enhance data management by automating and improving tasks across the data lifecycle. In research data management, it supports metadata creation, documentation, and data curation. For database modeling, it enables schema generation from natural language, query formulation, and schema […]
Knowledge Graphs are large graphs used to capture information about the real world in such a way that is is useful for applications. In these data structures, there are all sorts of entities (for example, people, events, places, organizations, etc.). Knowledge Graphs are used by many organizations to represent the information they need for their […]
Knowledge Graphs are large graphs used to capture information about the real world in such a way that is is useful for applications. In these data structures, there are all sorts of entities (for example, people, events, places, organizations, etc.). Knowledge Graphs are used by many organizations to represent the information they need for their […]
Mixed Reality combines virtual, augmented, and extended reality into a continuum of spatial computing experiences on devices such as the Meta Quest 3, Microsoft HoloLens 2, HTC Vive Pro, and Android smartphones. In this practical Bachelor lab, students in teams of 3-4 design and implement their own mixed reality application using modern toolchains (e.g., Unity […]
