Teaching
Courses and tutorials I have taught at the University of Münster, as teaching assistant in the Autonomous Intelligent Systems group. Each page gives an overview of the material; the full content lives in the linked repositories.
Tutorials
- Autonomous Systems and Mobile Robots — Tutorial
Hands-on tutorial accompanying the ASMR lecture: ROS 2, robot modelling, sensing, kinematics and localisation, built around one evolving robot.
- Introduction to Neural Networks
Exercise track for the introductory neural networks lecture: regression and model selection, biological neural networks, gradient descent, mini-labs.
- Project seminars in legged robotics
Two project seminars: a bio-inspired hexapod in Simulink (2024) and quadruped simulation with deep RL (2025).
- Deep Reinforcement Learning — Exercises
Exercise course from bandits and value functions through Monte Carlo, off-policy learning and policy gradients to control in high-dimensional state spaces.