Teaching
Teaching
My teaching activities focus on scientific computing and machine learning, with an emphasis on both theoretical foundations and practical methods. In addition to tutorial instruction, I prepare exercise sheets and supplementary course materials for the following courses. Further, I supervise bachelor and master theses.
2026
Machine Learning and Uncertainty Quantification: Methods & Applications
Introduction to Scientific Computing
Bayesian Learning
Randomized Low-Rank Approximations as Preconditioners
2025
Mathematical Machine Learning
Bayesian Learning
2024
Introduction to Scientific Computing
Earlier Teaching Experience
Mathematics for Engineering I & II
Introduction to Numerics
Mathematics for Economists