Courses offered spring term 2023

• Numerical Methods for Partial Differential Equations (Prof. Fleurianne Bertrand)
• Model building in supervised learning (Prof. Imma Curato)
• Optimization in Machine Learning (Prof. Imma Curato)
• Functional Analysis II (Prof. Batu Güneysu)
• Seminar: Optimal Transport (Prof. Batu Güneysu)
• Inverse Problems (Dr. Robert Kunsch)
• Monte Carlo methods (Dr. Robert Kunsch)
• Algorithms for Convex Optimization (Prof. Christoph Helmberg)
• Selected Chapters in Combinatorial Optimization (Prof. Christoph Helmberg)
• Algebraic Topology (Prof. Christian Lehn)
• Time series analysis (Prof. Alois Pichler)
• Quantitative Finance (Prof. Alois Pichler)
• Mathematical Foundations of Big Data Analytics (Prof. Philipp Reiter)
• Geometric Analysis (Prof. Philipp Reiter)
• Computer Algebra (Prof. Christian Sevenheck)
• Riemannian geometry and general relativity (Prof. Christian Sevenheck)
• Lie algebras and representation theory (Dr. Peter Spacek)