Course content
- Algebraic Geometry
- Algebraic Topology
- Big Data Analytics
- Calculus of variations
- Complex Geometry
- Differential Geometry
- Dirichlet Forms, Markov Processes and Semigroups
- Discrete Optimization
- Fourier Analysis
- Fractals
- Functional Analysis II
- Game Theory
- Geometric Analysis
- Graph Theory
- Harmonic Analysis
- Hilbert Space Methods
- Introduction to Data Science
- Introduction to Wavelets
- Introduction to Financial- and Insurance Mathematics
- Inverse Problems
- Mathematical Methods of Uncertainty Quantification
- Mathematical Foundations of Learning Theory
- Matrix Methods in Data Science
- Nonlinear Optimization
- Numerical Linear Algebra
- Numerical Methods for Ordinary Differential Equations (ODEs)
- Numerical Methods for Partial Differential Equations (PDEs)
- Optimization in Machine Learning
- Stochastic Analysis
- Stochastic Processes
- Time Series Analysis