Professorship for Information Systems, in particular Machine Learning

Organisational unit: Professoship

Main research areas

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. ALEE: Adaptive Learning in Economic Education

    Brefeld, U. (Project manager, academic) & Neubauer, K. (Project staff)

    Joachim Herz Stiftung

    01.03.2130.04.25

    Project: Research

  2. DOCYET - EXIST Gründerstipendien

    Brefeld, U. (Project manager, academic)

    01.06.1731.05.18

    Project: Other

  3. EXIST-Gründerstipendium AILON

    Brefeld, U. (Project manager, academic)

    01.01.1831.12.19

    Project: Other

  4. Großgerät: Compute-Server

    Brefeld, U. (Project manager, academic)

    German Research Foundation

    28.03.1831.12.19

    Project: Research

  5. T&E: Information Technology and Education in Support of Digital Citizenship

    Quadros dos Reis, V. (Project manager, academic) & Brefeld, U. (Project manager, academic)

    01.10.2101.05.24

    Project: Research

  6. Memory Path

    Brefeld, U. (Project manager, academic)

    01.04.2131.07.21

    Project: Other

  7. Promotion Doctoral Scholaship

    Brefeld, U. (Project manager, academic)

    01.11.2031.10.23

    Project: Research

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