Current and previous courses at FUB, LUH, LMU.

Teaching

At the Bundeswehr University Munich (UniBw-M) , Germany

Winter trimester

• Lecture: Artificial Intelligence, WT23, WT24.
• Seminar: Selected topics on AI/ML.
  • WT23 focus: Multi-objective optimization in AI/ML.
  • WT24 focus: AI and games.
• Research seminar: Artificial Intelligence and Machine Learning Group.

Spring trimester

• Lecture: Machine Learning, FT23.
• Lab: Machine Learning.
• Research seminar: Artificial Intelligence and Machine Learning Group.

Autumn trimester

• Lecture: Responsible Artificial Intelligence, HT23.
• Seminar: Selected topics on Responsible Artificial Intelligence.
  • HT23 Focus: Responsible Generative AI.
• Research seminar: Artificial Intelligence and Machine Learning Group.

At the Freie Universität Berlin (FUB) , Germany

Summer semester SoSe 2022

• Lecture: Artificial Intelligence, SoSe22.
• Seminar: Selected topics on AI/ML, SoSe22.
• Lab/Software project: AIML Lab , SoSe22.
• Research seminar: Artificial Intelligence and Machine Learning , SoSe22.

Winter semester WiSe 2021/2022

• Lecture: Machine Learning for Data Science, WiSe21/22. See also ML4DS git page .
• Seminar lecture: Data Science in the Life Sciences, WiSe21/22.
• Research seminar: Artificial Intelligence and Machine Learning , WiSe21/22.

Summer semester SoSe 2021

• Lecture: Artificial Intelligence, SoSe21.
• Seminar lecture: Data Science in the Life Sciences (Seminar) , SoSe21.
• Research seminar: Artificial Intelligence and Machine Learning , SoSe21.

At the Leibniz University Hannover (LUH) , Germany

• Lecture: Artificial Intelligence I (SoSe2017, SoSe2018, SoSe2020).
• Lecture: Data Mining I (SoSe2016, SoSe2017, SoSe2018, SoSe2019).
• Lecture: Data Mining II (WiSe2016/17, WiSe2017/2018, WS2019/2020).
• Data Mining Lab (SoSe16, WS2019/2020, SoSe2020).
• Seminar: Topics in Data Mining (SoSe2016, SoSe2019).
• (Master) Seminar: Advanced Topics in Data Mining, WiSe2016/17, WiSe2017/2018.
• Proseminar on AI/ML/DM topics: SS2019, SoSe2018 (with Claudia Niederee ).
• Oberseminar: Data Mining (SoSe2019, WS2019/2020).

At the Ludwig Maximilians University Munich (LMU) , Germany

• Lecture: Knowledge Discovery in Databases I (KDD I), SoSe2012.
• Lecture: Knowledge Discovery in Databases II (KDD II), WiSe2015/2016.
• Seminar: Mining Volatile Data, WiSe2012/2013.