Teaching

Summer Semester 2023

Research Semester

Mathematical Modeling for cancer research (Seminar)

Neural Ordinary Differential Equations (Seminar for Master students)

Advanced Software Practical (for Master students)

Functions of Matrices (Seminar for Bachelor students)

Advanced Topics in Image Analysis (Seminar for Master students)

Basic Software Practical (for Bachelor students)

Advanced Software Practical (for Master students)

Mathematical Image Processing (Seminar for Bachelor students)

Exponential Integrators (Seminar for Master students)

Image Stacking in Python (Software Practical for Master students)

This software practical ultimately lead to the implementation of the Scale-invariant feature transform (SIFT) algorithm in scikit-image by one of my students.

Advisor for a bachelor thesis

Mathematical Methods of Image and Pattern Analysis 2 (Lecture)

Organization and Tutoring. Lecturer: Christoph Schnörr.

Exponential Integrators in PyTorch (Software Practical for Master students)

Mathematical Methods of Image and Pattern Analysis (Lecture)

Organization and Tutoring. Lecturer: Christoph Schnörr.

Exponential Integrators in PyTorch (Software Practical for Master students)

Convex and Nonlinear Numerical Optimization (Lecture)

Organization and Tutoring. Lecturer: Christoph Schnörr.

Exponential Integrators in PyTorch (Software Practical for Master students)

Algorithms for Image Labeling (Seminar for Master students)

Advisor for a student internship

Numerical analysis (Lecture)

Tutoring. Lecturer: Peter Zaspel

Elementary Number Theory (Lecture)

Tutoring. Lecturer: Kay Wingberg

Linear Algebra 2 (Lecture)

Tutoring. Lecturer: Eva Viehmann

Linear Algebra 1 (Lecture)

Tutoring. Lecturer: Eva Viehmann

Analysis 1 (Lecture)

Tutoring. Lecturer: Daniel Matthes