We are involved in several teaching activities at different universities, whereas the main teaching is performed at the Darmstadt University of Applied Sciences. Our teaching activities follow the paradigms of research-based learning and problem-based learning. Research-based learning leads to cutting-edge knowledge about current research activities and empowers our students to understand and apply the newest research activities in the areas of information visualization, Visual Analytics, data analytics, machine learning, artificial intelligence, and Human-Computer Interaction.

Problem-based learning enables our students to develop and apply technologies to solve either given problems or problems that arise from our research activities. The main goal here is to enable students to solve real-world problems by applying different techniques, methods, and approaches and learn by solving the problems. Both approaches are commonly mixed to apply research outcomes from constructivism learning theory.

We teach at the following universities:

We provide different teaching opportunities. The lectures consist of a combination of presentations and exercises on a specific topic. In seminars you will get briefed into a topic the students have to elaborate on a specific topic under supervision. Similar to seminars, but with a strong focus on praxis are the practical courses or rather projects, where the students have to work out a (technical/development) solution to a given problem. At the end of a bachelor’s or master’s study, students have to work out a thesis on behalf of a given research question.