| 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 | Emil Loevbak | Vorlesung (V) | |
| Oberseminar | Prof. Dr. Nadja Klein | Seminar (S) | |
| Seminar (Modelling, Algorithms, Simulation) | Prof. Dr. Martin Frank Dr. Jasmin Hörter PD Dr. Mathias Krause PD Dr. Gudrun Thäter Dr. Stephan Simonis | Seminar (S) | |
| Tutorial for 0155450 (Introduction to Kinetic Theory) | Emil Loevbak | Übung (Ü) |
| Titel | Links | Dozent*innen | Typ |
|---|---|---|---|
| Aktuelle Themen des Quantencomputings | Dr. Eileen Kühn Prof. Dr.-Ing. Ina Schaefer Prof. Dr. Achim Streit | Praktikum (P) | |
| 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 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) | |
| Introduction to Kinetic Theory | Prof. Dr. Martin Frank | Vorlesung (V) | |
| Jahrestreffen des Helmholtz-Programmes Engineering Digital Futures | Prof. Dr. Achim Streit | Sonstige (sonst.) | |
| Oberseminar | Prof. Dr. Nadja Klein | Seminar (S) | |
| Seminar (Modeling, Algorithms, Simulation) | Prof. Dr. Martin Frank Dr. Jasmin Hörter | Seminar (S) | |
| Seminar (Numerical and Statistical Aspects of Machine Learning) | Prof. Dr. Mathias Trabs Prof. Dr. Sebastian Krumscheid Prof. Dr. Martin Frank | Seminar (S) | |
| Skalierbare Methoden der Künstlichen Intelligenz | Dr. Charlotte Debus Dr. Markus Götz Marie Weiel | Vorlesung (V) | |
| Tutorial for 0155450 (Introduction to Kinetic Theory) | Prof. Dr. Martin Frank | Übung (Ü) | |
| Verteiltes Rechnen | Prof. Dr. Achim Streit Peter Krauß Dr. Matthias Schnepf | Vorlesung (V) |