Courses offered spring term 2022
There are still classes that will be held online or in hybrid form. Please check the pages (mostly using the OPAL learning platform) linked to below for more detailed information.- Mathematical Methods of Uncertainty Quantification (Prof. Oliver Ernst)
- Stochastic processes (Prof. Uta Freiberg)
- Dirichlet forms, Markov processes and semigroups (Prof. Uta Freiberg)
- Complex Geometry (Dr. Franco Giovenzana)
- Quantitative Finance (Prof. Alois Pichler)
- Introduction to Gradient Flows (Prof. Jan-Frederik Pietschmann)
- Mathematical Foundations of Big Data Analytics (Dr. Max Pfeffer)
- Optimization in Machine Learning (Dr. Max Pfeffer)
- Fourier Analysis (Prof. Daniel Potts)
- Differential Geometry (Prof. Philipp Reiter)
- Introduction to D-modules (Prof. Christian Sevenheck)