Search result: Course units in Spring Semester 2020
Data Science Master | ||||||
Core Courses | ||||||
Core Electives | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
---|---|---|---|---|---|---|
263-4400-00L | Advanced Graph Algorithms and Optimization Number of participants limited to 30. | W | 5 credits | 3G + 1A | R. Kyng | |
263-5300-00L | Guarantees for Machine Learning | W | 5 credits | 2V + 2A | F. Yang | |
401-0674-00L | Numerical Methods for Partial Differential Equations Not meant for BSc/MSc students of mathematics. | W | 10 credits | 2G + 2U + 2P + 4A | R. Hiptmair | |
401-3052-05L | Graph Theory | W | 5 credits | 2V + 1U | B. Sudakov | |
401-3052-10L | Graph Theory | W | 10 credits | 4V + 1U | B. Sudakov | |
401-3602-00L | Applied Stochastic Processes Does not take place this semester. | W | 8 credits | 3V + 1U | not available | |
401-4632-15L | Causality | W | 4 credits | 2G | C. Heinze-Deml | |
401-4944-20L | Mathematics of Data Science | W | 8 credits | 4G | A. Bandeira | |
401-6102-00L | Multivariate Statistics Does not take place this semester. | W | 4 credits | 2G | not available | |
402-0448-01L | Quantum Information Processing I: Concepts This theory part QIP I together with the experimental part 402-0448-02L QIP II (both offered in the Spring Semester) combine to the core course in experimental physics "Quantum Information Processing" (totally 10 ECTS credits). This applies to the Master's degree programme in Physics. | W | 5 credits | 2V + 1U | P. Kammerlander | |
701-0104-00L | Statistical Modelling of Spatial Data | W | 3 credits | 2G | A. J. Papritz | |
Interdisciplinary Electives | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
101-0478-00L | Measurement and Modelling of Travel Behaviour | W | 6 credits | 4G | K. W. Axhausen | |
103-0228-00L | Multimedia Cartography Prerequisite: Successful completion of Cartography III (103-0227-00L). | W | 4 credits | 3G | H.‑R. Bär, R. Sieber | |
103-0247-00L | Mobile GIS and Location-Based Services | W | 5 credits | 4G | P. Kiefer | |
103-0255-01L | Geodata Analysis | W | 2 credits | 2G | K. Kurzhals | |
227-0945-10L | Cell and Molecular Biology for Engineers II This course is part II of a two-semester course. Knowledge of part I is required. | W | 3 credits | 2G | C. Frei | |
227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | W | 3 credits | 2G | E. Konukoglu, M. A. Reyes Aguirre | |
261-5113-00L | Computational Challenges in Medical Genomics Number of participants limited to 20. | W | 2 credits | 2S | A. Kahles, G. Rätsch | |
261-5120-00L | Machine Learning for Health Care Number of participants limited to 150. | W | 5 credits | 3P + 1A | G. Rätsch, J. Vogt, V. Boeva | |
262-0200-00L | Bayesian Phylodynamics | W | 4 credits | 2G + 2A | T. Stadler, T. Vaughan |
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