| Titel | Links | Dozent*innen | Typ |
|---|---|---|---|
| AI methods for self driving labs (RIRO-Kurs „KI basierte chemische Biologie“) | Prof. Dr. Luca Ghiringhelli | Vorlesung (V) | |
| Aktuelle Themen des Quantencomputings | Dr. Eileen Kühn Prof. Dr.-Ing. Ina Schaefer Prof. Dr. Achim Streit | Praktikum (P) | |
| Bayesian Inverse Problems with Connections to Machine Learning | Prof. Dr. Sebastian Krumscheid | Vorlesung (V) | |
| Hackathon I | Dr. Jasmin Hörter DozentInnen aus den Anwendungsprofilen (SEE/CDS) | Seminar (S) | |
| NuMaKa Seminar | Prof. Dr. Sebastian Krumscheid TT-Prof. Dr. Roland Maier TT-Prof. Dr. Benjamin Unger | Oberseminar (OS) | |
| Oberseminar Computational Science and Mathematical Methods | Prof. Dr. Martin Frank | Seminar (S) | |
| Oberseminar | Prof. Dr. Nadja Klein | Seminar (S) | |
| Parallelrechner und Parallelprogrammierung | Prof. Dr. Achim Streit Dr. René Caspart Dr. Andreas Baer | Vorlesung (V) | |
| Research Seminar in Selected Topics in Statistical Learning and Data Science | Prof. Dr. Nadja Klein | Seminar (S) | |
| Tutorial for 0163800 (Bayesian Inverse Problems with Connections to Machine Learning) | Prof. Dr. Sebastian Krumscheid | Übung (Ü) | |
| Tutorial for 0164400 (Uncertainty quantification) | Prof. Dr. Martin Frank | Übung (Ü) | |
| Uncertainty Quantification | Prof. Dr. Martin Frank | Vorlesung (V) |
| Titel | Links | Dozent*innen | Typ |
|---|---|---|---|
| Advanced Bayesian Data Analysis | Prof. Dr. Nadja Klein | Vorlesung / Übung (VÜ) | |
| Advanced Topics in High Performance Computing, Data Management and Analytics | Dr. Mozhdeh Farhadi Prof. Dr. Achim Streit | Praktikum (P) | |
| Distributed Computing | Prof. Dr. Achim Streit Peter Krauß Dr. Matthias Schnepf | Vorlesung (V) | |
| Introduction to Kinetic Theory | Dr. Emil Loevbak | Vorlesung (V) | |
| Oberseminar | Prof. Dr. Nadja Klein | Seminar (S) | |
| Ringvorlesung Wavephenomena | Prof. Dr. Roland Schnaubelt Prof. Dr. Roland Griesmaier Dr. Björn de Rijk Prof. Dr. Sebastian Krumscheid Martin Halla Soumen Senapati | Vorlesung (V) | |
| Seminar (Modelling, Algorithms, Simulation) | Prof. Dr. Martin Frank Dr. Jasmin Hörter PD Dr. Mathias Krause PD Dr. Gudrun Thäter Dr. Stephan Simonis | Seminar (S) | |
| Stochastic Simulation | Prof. Dr. Sebastian Krumscheid | Vorlesung (V) | |
| Tutorial for 0100027 (Stochastic Simulation) | Prof. Dr. Sebastian Krumscheid | Übung (Ü) | |
| Tutorial for 0155450 (Introduction to Kinetic Theory) | Dr. Emil Loevbak | Übung (Ü) |
| Titel | Links | Dozent*innen | Typ |
|---|---|---|---|
| Advanced Topics in Uncertainty Quantification | Prof. Dr. Sebastian Krumscheid | Seminar (S) | |
| Aktuelle Themen des Quantencomputings | Dr. Eileen Kühn Prof. Dr.-Ing. Ina Schaefer Prof. Dr. Achim Streit | Praktikum (P) | |
| Bayesian Inverse Problems with Connections to Machine Learning | Prof. Dr. Sebastian Krumscheid | Vorlesung (V) | |
| Oberseminar Computational Science and Mathematical Methods | Prof. Dr. Martin Frank | Seminar (S) | |
| Oberseminar | Prof. Dr. Nadja Klein | Seminar (S) | |
| Parallelrechner und Parallelprogrammierung | Prof. Dr. Achim Streit Dr. Robert Barthel Dr. René Caspart | Vorlesung (V) | |
| Research Seminar in Selected Topics in Statistical Learning and Data Science | Prof. Dr. Nadja Klein | Seminar (S) | |
| Tutorial for 0163800 (Bayesian Inverse Problems with Connections to Machine Learning) | Prof. Dr. Sebastian Krumscheid | Übung (Ü) | |
| Tutorial for 0164400 (Uncertainty quantification) | Prof. Dr. Martin Frank | Übung (Ü) | |
| Uncertainty Quantification | Prof. Dr. Martin Frank | Vorlesung (V) |