Professorship for Information Systems, in particular Machine Learning

Organisational unit: Professoship

Topics

Research

We are interested in statistical machine learning with a focus on spatiotemporal problems, such as user navigation on the web, adaptive testing and adaptive learning environments, and the coordination of football players on the pitch. While we mainly focus on basic research, we also collaborate with selected partners in academia, sports and industry in different projects.

Teaching

Our teaching focuses on introductory/advanced machine learning and data mining as well as basic statistics. We regularly offer courses in the Management & Data Science Master and the Information Systems Bachelor programs. Exemplary courses comprise Deep Learning (Data Science), Statistics (Information Systems), and Machine Learning & Data Mining (Engineering).

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  1. Data Science: Lern- und Ausbildungsinhalte

    Ziawasch Abedjan, Ulf Brefeld, Joachim Bürkle, Jörg Desel, Stefan Edlich, Thomas Eppler, Michael Goedicke, Jens Heidrich, Stefan M. Kast, Daniel Krupka, Klaus Lang, Peter Liggesmeyer & Marina Tropmann-Frick

    31.12.19

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