Name | Course Type | Name | Credits | ID |
---|---|---|---|---|
Mathematical Foundations of Machine Learning | () Vorlesung | Mathematical Foundations of Machine Learning | 455764 | |
() Übung | Mathematical Foundations of Machine Learning | 0 | 455765 | |
Nonlinear Optimization | () Vorlesung/Übung | Optimierung A | 448100 | |
() Vorlesung/Übung | Optimierung A | 448100 | ||
High-dimensional Probability Theory | () Vorlesung | High-dimensional Probability for Mathematicians and Data Scientists | 446966 | |
() Übung | High-dimensional Probability for Mathematicians and Data Scientists | 0 | 446961 | |
Mathematical Aspects in Computational Chemistry | () Vorlesung | Mathematische Aspekte der rechnergestützten Chemie (Vorlesung) | 0 | 449591 |
() Übung | Mathematische Aspekte der rechnergestützten Chemie (Übung) | 0 | 447448 | |
Mathematical Models in Science and Engineering | () Übung | Mathematische Aspekte der rechnergestützten Chemie (Übung) | 0 | 447448 |
Integer Linear Programming | () Vorlesung | Ganzzahlige Lineare Optimierung | 9 | 448036 |
() Übung | Ganzzahlige Lineare Optimierung | 0 | 448829 | |
Finite Element and Volume Methods I | () Übung | Finite Elemente und Volumen Verfahren I (Übung) | 0 | 448906 |
() Vorlesung | Finite Elemente und Volumen Verfahren I | 448233 | ||
Stochastic Numerics with Applications in Simulation and Data Science | () Vorlesung | Stochastische Numerik mit Anwendungen in Simulation und Data Science | 447213 | |
() Übung | Stochastische Numerik mit Anwendungen in Simulation und Data Science | 0 | 447365 | |
Multiscale Techniques | () Vorlesung | Multiskalentechniken | 448543 | |
() Übung | Multiskalentechniken (Übung) | 0 | 448544 | |
Numerical Methods for Random Partial Differential Equations: Hierarchical Approximation and Machine Learning Approaches | () Vorlesung | Numerical methods for random partial differential equations: hierarchical approximation and machine learning approaches | 447776 | |
() Tutorium | Numerical methods for random partial differential equations: hierarchical approximation and machine learning approaches | 447778 | ||
() Übung | Numerical methods for random partial differential equations: hierarchical approximation and machine learning approaches | 0 | 447777 | |
Applied Data Analysis | () Vorlesung | Applied Data Analysis | 446968 | |
() Übung | Applied Data Analysis | 0 | 449040 | |
() Praktikum | Applied Data Analysis (Praktikum) | 0 | 446831 | |
Provenance Analysis and Semiring Semantics for Logics and Games | () Vorlesung | Provenance Analysis and Semiring Semantics for Logics and Games | 455749 | |
High-dimensional Probability for Mathematicians and Data Scientists | () Vorlesung | High-dimensional Probability for Mathematicians and Data Scientists | 446966 | |
() Übung | High-dimensional Probability for Mathematicians and Data Scientists | 446961 | ||
Advanced Topics in Transport Theory | () Vorlesung/Übung | Non-Equilibrium Gas Dynamics with Moment Equations | 0 | 467105 |