Past lectures
Quasi-Monte Carlo methods for PDE uncertainty quantificationHumboldt University of Berlin (Wintersemester 2023/24) Statistics for Data Science
Free University of Berlin (Wintersemester 2023/24) Inverse problems
Free University of Berlin Uncertainty quantification and quasi-Monte Carlo
Free University of Berlin (Wintersemester 2022/23) Special course on inverse problems
LUT University (spring 2021) Lecture notes on the construction of the tomography matrix and a computational inversion example using total variation regularization with the iterative Chambolle–Pock algorithm (spring 2021).
- Introduction to X-ray tomography (tomodemo.m)
- Total variation regularization for X-ray tomography (tvdemo.m, sinogram.mat)
LUT University (fall 2020) The introductory lecture notes I wrote about the stochastic Galerkin method as part of the Seminar on Computational Engineering at LUT University (fall 2020). Sparse grid methods
University of Mannheim (fall 2019) The introductory lecture notes I wrote for the Sparse grid methods block seminar at University of Mannheim (fall 2019). Applications of matrix computations
University of Helsinki (spring 2018) The lecture notes I wrote for the Applications of matrix computations course at University of Helsinki (spring 2018).