Here you will find a overview of all courses offered in the current semester.
General information on our regularly offered lectures, practical courses and Methodical Sprints can be found on the linked subpages.
Lehrangebote im Wintersemester 2025/2026
VorlesungenNumerik partieller Differentialgleichungen [102385]
Scientific Computing [102338]
Nonlinear Partial Differential Equations [102372]
Inverse Problems [102371]
Modern Applied Mathematics in Bioelectromagnetism [102342]
Partial Differential Equations [102381]
Numerical Methods for Complex Systems [112692]
Theoretical Nonlinear Physics [112686]
Numerical Methods for Complex Systems [112692]
Introduction to Nonlinear Dynamics and Self-organization in Complex Systems [112709]
Seminare/ÜbungenEfficient Simulations [102337]
Scientific Computing [102339]
Topics in Mathematical Fluid Dynamics [102378]
Partial Differential Equations. Theory and Mathematical Modelling [102395]
Advanced Topics in the Calculus of Variation [102384]
Partielle Differentialgleichungen für Gase und Plasmen [102397]
Nonlocal Isoperimetric Problems [102340]
The Calderon Problem [102373]
Modell- und Daten-basierte Methoden in den Naturwissenschaften (MoDaNa) [112704]
Self-Study Course Data Science & Machine Learning [112319]
Theory of Complex Systems [112703]
Laboratory Course: Nonlinear Physics [112452]
Methodical Sprints: A Short Course on Causal Inference [112714]
Blockveranstaltung 19./20.02. 2026Methodical Sprints: A Short Course on Critical (?) Transitions [112715]
Blockveranstaltung 10./11.02.2026Methodical Sprints: From Fireflies to Coupled Neurons and Power Grids – Synchronization and the Kuramoto Model [112713]
Blockveranstaltung 26./27.02.2026
Courses offered in Summer Term 2025
- Numerical Optimization [100354]
Time: mondays 2 - 4 pm / thursdays 12 - 2 pm - Strukturen und Konzepte der Physik [110382]
Time: fridays 10 - 12 am c.t. - Pattern Recognition and Machine Learning [100116]
Time: wednesdays 2-4 pm / fridays 10 -12 am - Theoretical Nonlinear Physics [110608]
Time: tuesdays 2 - 4 pm - Theory of Complex Systems [110614]
Time: wednesdays 4-6 pm - Self-Study Course Data Sciene & Machine Learning
Time: on regular basis - Introduction to Machine Learning [110639]
Time: Blockveranstaltung 22.-26.09.2025 - Introduction to Bayesian statistics [110637]
Time: tuesdays 10 - 12 am
- Numerical Optimization [100354]