Courses offered fall term 2024

• Mathematical Statistics (Prof. Imma Curato)
• Functional Analysis (Prof. Peter Stollmann)
• Numerical Optimization (Prof. Philipp Reiter)
• Functional analysis and partial differential equations (Prof. Thomas Kalmes)
• Differential Geometry (N.N.)
• Brownian Motion (Prof. Uta Freiberg)
• Representation Theory (Dr. Sebastian Debus)
• Optimization and Applications (Prof. Fleurianne Bertrand)
• Matrix Methods in Data Science (Prof. Martin Stoll)
• Risk Theory (Dr. Dana Uhlig)
• Numerical Methods for Ordinary Differential Equations (Prof. Fleurianne Bertrand)
• Semidefinite Optimization (Prof. Christoph Helmberg)
• Optimization with Partial Differential Equations (Jun.-Prof. Dr. Manuel Schaller)
• Mathematical Methods of Uncertainty Quantification (Prof. Alois Pichler)
• Fourier Analysis (Prof. Daniel Potts)
• Introduction to Data Science (Prof. Oliver Ernst)
• Statistics in Data Science (Prof. Imma Curato)
• Mathematical Methods in Image Processing (Prof. Sebastian Neumayer)