Teaching

Summer Semester 2022

Neural Ordinary Differential Equations (Seminar for Master students)
Advanced Software Practical (for Master students)

Winter Semester 2021/2022

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)

Summer Semester 2021

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

Winter Semester 2020/2021

Mathematical Methods of Image and Pattern Analysis 2 (Lecture)
Organization and Tutoring. Lecturer: Christoph Schnörr.
Exponential Integrators in PyTorch (Software Practical for Master students)

Summer Semester 2020

Mathematical Methods of Image and Pattern Analysis (Lecture)
Organization and Tutoring. Lecturer: Christoph Schnörr.
Exponential Integrators in PyTorch (Software Practical for Master students)

Winter Semester 2019/2020

Convex and Nonlinear Numerical Optimization (Lecture)
Organization and Tutoring. Lecturer: Christoph Schnörr.
Exponential Integrators in PyTorch (Software Practical for Master students)

Summer Semester 2019

Algorithms for Image Labeling (Seminar for Master students)
Advisor for a student internship

Summer Semester 2016

Numerical analysis (Lecture)
Tutoring. Lecturer: Peter Zaspel

Winter Semester 2015/2016

Elementary Number Theory (Lecture)
Tutoring. Lecturer: Kay Wingberg

Summer Semester 2013

Linear Algebra 2 (Lecture)
Tutoring. Lecturer: Eva Viehmann

Winter Semester 2012/2013

Linear Algebra 1 (Lecture)
Tutoring. Lecturer: Eva Viehmann

Winter Semester 2011/2012

Analysis 1 (Lecture)
Tutoring. Lecturer: Daniel Matthes