ML2 Specialisation Module (30 ECTS)

• 250066 VO [ en ] Mathematical Ecology and Pattern Formation
• 250068 VO [ en ] Stochastic Analysis
• 250069 VU [ en ] Tomography and its Inverse Problem
• 250070 VU [ en ] Regularization Theory: From Functional Analysis to Machine Learning
• 250071 VO [ en ] Frame Theory
• 250072 VO [ en ] ( GEMISCHT ) Lie Groups
• 250074 VO [ en ] Introduction to complex network analysis
• 250075 VO [ en ] Mathematics of Reaction Networks
• 250076 VO [ en ] Proof Principles
• 250078 VO [ en ] Random Groups
• 250081 VO [ en ] Riemannian Geometry
• 250084 PS [ en ] Introduction to complex network analysis
• 250085 PS [ en ] ( GEMISCHT ) Lie Groups
• 250086 PS [ en ] Mathematical Ecology and Pattern Formation
• 250087 PS [ en ] Stochastic Analysis
• 250108 VO [ en ] Algebraic Geometry
• 250109 VO [ en ] Algebraic Groups
• 250110 VO [ en ] Differential Topology
• 250115 VO [ en ] Lorentzian Geometry
• 250116 VO [ en ] Nonlinear Schrödinger and Wave Equations
• 250117 VO [ en ] Numerics of Partial Differential Equations
• 250118 PS [ en ] Numerics of Partial Differential Equations
• 250119 VO [ en ] Optimal Transport
• 250121 VO [ en ] Quantum Information, Quantum Computing, and Quantum Algorithms
• 250122 PS [ en ] Quantum Information, Quantum Computing, and Quantum Algorithms
• 250124 VU [ en ] Introduction to Brakke's mean curvature flow
• 250125 VO [ en ] Topics in Set Theory
• 250126 VO [ en ] Topics in Model Theory