Suchergebnis: Lerneinheiten im Frühjahrssemester 2022
Data Science Master  | ||||||
 Interdisziplinäre Wahlfächer | ||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|---|
| 101-0478-00L | Survey Methods and Discrete Choice Analysis | W | 6 KP | 4G | K. W. Axhausen, B. Schmid | |
| 103-0228-00L | Multimedia Cartography | W | 4 KP | 3G | R. Sieber | |
| 103-0247-00L | Mobile GIS and Location-Based Services | W | 5 KP | 4G | P. Kiefer | |
| 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 KP | 2G | C. Frei | |
| 227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | W | 3 KP | 2G | E. Konukoglu, M. A. Reyes Aguirre | |
| 261-5112-00L | Algorithms and Data Structures for Population Scale Genomics  Number of participants limited to 30. | W | 3 KP | 2G | A. Kahles | |
| 261-5113-00L | Computational Challenges in Medical Genomics Number of participants limited to 20. | W | 2 KP | 2S | A. Kahles | |
| 261-5120-00L | Machine Learning for Health Care Number of participants limited to 150. | W | 5 KP | 2V + 2A | V. Boeva, G. Rätsch, J. Vogt | |
| 262-0200-00L | Bayesian Phylodynamics | W | 4 KP | 2G + 2A | T. Vaughan | |
| 263-5351-00L | Machine Learning for Genomics The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not provide project work and/or do not show up for the exam, will officially fail the course. Number of participants limited to 75. | W | 5 KP | 2V + 1U + 1A | V. Boeva | |
| 636-0702-00L | Statistical Models in Computational Biology | W | 6 KP | 2V + 1U + 2A | N. Beerenwinkel | |
| 363-1000-00L | Financial Economics | W | 3 KP | 2V | A. Bommier, C. Daminato | |
| 363-1091-00L | Social Data Science | W | 2 KP | 2G | D. Garcia Becerra | |
| 363-1100-00L | Risk Case Study Challenge | W | 3 KP | 2S | H. Schernberg, S. Andraszewicz | |
| 401-3629-00L | Quantitative Risk Management | W | 4 KP | 2V + 1U | P. Cheridito | |
| 401-3888-00L | Introduction to Mathematical Finance Ein verwandter Kurs ist 401-3913-01L Mathematical Foundations for Finance (3V+2U, 4 ECTS-KP). Obwohl beide Kurse unabhängig voneinander belegt werden können, darf nur einer ans gesamte Mathematik-Studium (Bachelor und Master) angerechnet werden. | W | 10 KP | 4V + 1U | D. Possamaï | |
| 401-3936-00L | Data Analytics for Non-Life Insurance Pricing | W | 4 KP | 2V | M. V. Wüthrich, C. M. Buser | |
| 401-4658-00L | Computational Methods for Quantitative Finance: PDE Methods | W | 6 KP | 3V + 1U | C. Schwab, A. Stein | |
| 401-8915-00L | Advanced Financial Economics (University of Zurich) Der Kurs muss direkt an der UZH als incoming student belegt werden. UZH Modulkürzel: MFOEC206 Beachten Sie die Einschreibungstermine an der UZH: https://www.uzh.ch/cmsssl/de/studies/application/deadlines.html | W | 6 KP | 4G | Uni-Dozierende | |
| 701-0412-00L | Klimasysteme | W | 3 KP | 2G | S. I. Seneviratne, L. Gudmundsson | |
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