Courses offered spring term 2019

Mathematical Foundations of Big Data Analytics (Prof. Vladimir Shikhman)
Optimization in Machine Learning (Prof. Roland Herzog)
Introduction to Non-Linear PDEs (Prof. Jan-Frederik Pietschmann)
Computer Algebra (JProf. Christian Lehn)
Modern Methods of Approximation Theory (Prof. Tino Ullrich)
Algebraic and geometric methods in Data Science (JProf. Christian Lehn)
Intorduction to Wavelets (Prof. Daniel Potts)
Inverse problems (Prof. Jan-Frederik Pietschmann)
Numerical Methods for Partial Differential Equations (Dr. Max Winkler)
Spectral theory (Prof. Peter Stollmann)