Vorlesungen Data Science
Frühjahrsemester 2023
Titel | Dozierende | KP | Zeit | |
Mathematical Foundations | ||||
27334 | Funktionalanalysis und partielle Differentialgleichungen | Enno Lenzmann | 4 KP | Mo 10:15-12:00 |
67348 | Causal Inference Techniques for Data Science | Giusi Moffa | 6 KP | Mo 14:15-16:00 |
Machine learning Foundations | ||||
17165 | Machine Learning * | Volker Roth | 8 KP | Di 10:15-12:00 |
13548 | Foundations of Artificial Intelligence | Thomas Keller | 8 KP | Mo 16:15-18:00 |
67348 | Causal Inference Techniques for Data Science | Giusi Moffa | 6 KP | Mo 14:15-16:00 |
45366 | Machine Intelligence | Marcel Lüthi | 6 KP | Mo 10:15-12:00 |
67343 | Inverse Problems: Computational Aspects and Machine Learning | Marcus J. Grote | 3 KP | Mo 16:15-18:00 |
60876 | Mathematical and Computational Biology in Drug Discovery | Jitao David Zhang | 2 KP | Fr 12:15-14:00 |
Systems Foundations | ||||
15729 | Distributed Information Systems | Heiko Schuldt | 4 KP | Mi 10:15-12:00 |
17164 | High Performance Computing | Florina M. Ciorba | 4 KP | Do 10:15-12:00 |
67923 | Continuous Optimization | Aurelien Lucchi | 6 KP | Do 16:15-18:00 |
67924 | Privacy-Preserving Methods for Data Science and Distributed Systems | Isabel Wagner | 6 KP | Mo 16:15-18:00 |
15728 | Computer Networks | Christian Tschudin | 4 KP | Fr 10:15-12:00 |
Electives in Data Science |
| |||
67343 | Inverse Problems: Computational Aspects and Machine Learning | Marcus J. Grote | 3 KP | Mo 16:15-18:00 |
43075 | Shape Modelling and Analysis | Marcel Lüthi | 6 KP | Di 14:15-16:00 |
54004 | Introduction to Arithmetic of Dynamical Systems | Jung Kyu Canci | 6 KP | Do 12:15-14:00 |
53822 | Advanced Methods in Medical Image Analysis | Florentin Bieder, Philippe | 6 KP | Mo 13:15-16:00 |
60876 | Mathematical and Computational Biology in Drug Discovery | Jitao David Zhang | 2 KP | Fr 12:15-14:00 |
* Diese Vorlesungen sind für alle Data Science Studenten Pflicht. Die übrigen Vorlesungen in den einzelnen Modulen können anhand der vorgegebenen Empfehlungsliste frei gewählt werden.