Machine Learning for Mechanical Engineers (136140-SoSe2026)

This course introduces machine learning methods with a focus on mechanical engineering applications. Topics include supervised/unsupervised learning, neural networks, dynamical systems modeling, NLP, and reinforcement learning. Exercises are hands-on with Python and PyTorch.

Prerequisites: Basic programming knowledge, linear algebra, calculus.

Format: Weekly lecture (90 min) + exercise session (90 min).