Here is an overview of courses I have given tutorials for.
| Semester | Course Title | Level |
|---|---|---|
| Winter Term 2024/25 | Causal Machine Learning Deep Learning, An Introduction |
Master / Ph.D. Master |
| Summer Term 2025 | Statistical Programming in Python Causal Inference and Digital Causality Lab |
Master Bachelor |
| Winter Term 2024/25 | Statistical Programming in Python Deep Learning, An Introduction |
Master Master |
| Summer Term 2024 | Causal Inference and Digital Causality Lab Introduction to Statistics II for BA students |
Bachelor Bachelor |
| Winter Term 2023/24 | Statistical Programming in Python Introduction to Statistics I for BA students |
Master Bachelor |
| Summer Term 2023 | Causal Inference and Digital Causality Lab Introduction to Statistics II for BA students |
Bachelor Bachelor |
| Winter Term 2022/23 | Introduction to Deep Learning | Master |
| Summer Term 2022 | Causal Inference - an Introduction | Bachelor |
| Winter Term 2021/22 | Causal Machine Learning (Seminary) | Bachelor |
| Summer Term 2019 | Introduction to Statistics II for BA students | Bachelor |
| Winter Term 2018/19 | Introduction to Statistics II for BA students | Bachelor |