Courses
Courses offered in WS 2026/27
Bridge Course Databases
A blended learning bridge course for master’s students in Data Science, Computational Social Science, and related programs.Data Ecosystems Lab
Modern web applications centralize data, creating isolated silos, whereas decentralized data ecosystems enable users to store and manage their own data, granting true data sovereignty. In this lab, small teams will tackle distinct challenges, such as ingesting wearable sensor streams, processing fitness metrics, or sharing activity logs with friends, to build components of a fully […]Empathic Computing Lab
Empathic computing investigates how technology can support collaboration, shared understanding and human-centered interaction. In this lab, student teams design and develop their own projects using immersive and pervasive media—ranging from XR headsets and smartphones to tablets, laptops, and wearable devices. Projects may leverage open standards like WebXR, or use engines such as Unity, depending on […]Intelligent Data Management with Generative AI
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 Graph Lab
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
Knowledge Graphs represent knowledge as a network of entities and their relationships and form the basis of many modern data-driven applications. As part of the W3C Semantic Web initiative, standards and technologies have been developed for machine-readable exchange of data, information and knowledge on the Web, which to this day provide the technical foundation of […]Mixed Reality Lab
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 […]Research Focus Class: Industrial Applications for LLM-driven Agentic Systems
In this Research Focus Class (RFC), we would like to provide an environment for students to work on developing their own research ideas. With a guidance from research assistants, we will ask you to design and implement these ideas independently. Results of such classes may lead to identifying a Master’s thesis topic or publications in […]
Courses planned for the upcoming semester (SS 2027)
Working Groups
Data Stream Management and Analysis
Data Stream Management and AnalysisAdvanced Community Information Systems
We are using state-of-the-art techniques of software engineering for the specifications of requirements, design, and for implementation. We practice teamwork techniques and use high-end hardware and software. For our group communication, we use the BSCW system and Moodle (prior TikiWiki).
Specialization Areas
Themenbereiche für eine Prüfung im Vertiefungsgebiet Informatik:
- Einführung in Datenbanken
- Implementierung von Datenbanken
- Informationssysteme
- Wissensbasierte Systeme
- Spezialvorlesungen aus den Bereichen Dokumentenmanagement, Electronic Commerce, CSCW & Groupware, deduktive Datenbanken, objektorientierte Datenbanken, Wissensrepräsentation, natürlichsprachliche Schnittstellen, Logikprogrammierung, sowie Informationssystem-Anwendungen in Büro, Ingenieurwissenschaften und Medizin