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)