Teaching
I have taught various seminars & workshops in/on different countries, contexts and levels. Below a selection of scripts & slides & guidelines I created throughout the last years.
- Teaching websites & scripts (incomplete selection)
- Applied Machine Learning (with R) (2024, Gesis)
- Applied Data Visualization (2024, Gesis, University of Freiburg)
- Interactive Data Analysis with Shiny (2023, Gesis, w. Jonas Lieth)
- Seminar: Kausalanalyse (2024, University of Freiburg)
- Seminar: Digitalisierung, Künstliche Intelligenz und Demokratie (2024, University of Freiburg)
- Artificial intelligence and Machine Learning for Social Scientists (2023, University of Mannheim)
- Lecture: Research Design (2022, 2021, University of Mannheim) (access different sessions by changing lecture_*.html)
- Computational Social Science (2022, University of Mannheim)
- Programming and Applied Data Visualization with R (2022, University of Jena)
- Applied Causal Analysis (with R) (2020, University of Mannheim)
- Big data and Social Science (2018, University of Bern)
- Guidelines for students