Courses offered spring term 2021
Due to the corona pandemic, most of these classes will be held online: as inverted classrooms, via video conferences etc. You will shortly find below the links to the corresponding pages, mostly using the OPAL system. In some cases, you have to register to these lectures within OPAL (beware that some pages may be displayed in German despite the fact that the teaching material will be in English). If you are admitted as international student in spring 2021, and in case you encounter difficulties to obtain a visa for Germany or to move here, you will have the possibility to follow these electronic lectures from your home country.- Optimization in Machine Learning (Dr. Sara Grundel)
- Distributions and their applications in analysis (Prof. Thomas Kalmes)
- Algorithms for Convex Optimization (Prof. Christoph Helmberg)
- Approximation Algorithms (Prof. Christoph Helmberg)
- Algebraic Topology (Prof. Christian Lehn)
- Complex Geometry (Prof. Christian Lehn)
- Nonlinear Elliptic Partial Differential Equations (Dr. Greta Marino)
- Time series analysis (Prof. Alois Pichler)
- Quantitative Finance (Prof. Alois Pichler)
- Introduction to the Theory of Optimal Transport (Prof. Jan-Frederik Pietschmann)
- Inverse Problems (Prof. Jan-Frederik Pietschmann)
- Introduction to Wavelets (Prof. Daniel Potts)
- Geometric Knot Theory (Prof. Philipp Reiter)
- Mathematical Foundations of Big Data Analytics (Prof. Vladimir Shikhman)
- Seminar: Algebra (Prof. Christian Sevenheck)
- Matrix Methods in Data Science (Prof. Martin Stoll)
- A Mathematical Introduction to Learning Theory (Prof. Tino Ullrich)
- Numerical Methods for Partial Differential Equations (Dr. Max Winkler)