Search result: Course units in Spring Semester 2023
Data Science Master  | ||||||
 Interdisciplinary Electives | ||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|---|
| 101-0478-00L | Survey Methods and Discrete Choice Analysis | W | 6 credits | 4G | B. Schmid | |
| 103-0228-00L | Research Topics in Cartography | W | 6 credits | 3G | L. Hurni | |
| 103-0237-00L | Advanced GIS | W | 6 credits | 3G | M. Raubal | |
| 103-0247-00L | Mobile GIS and Location-Based Services | W | 6 credits | 4G | P. Kiefer | |
| 227-0391-00L | Medical Image Analysis Basic knowledge of computer vision would be helpful. | W | 3 credits | 2G | E. Konukoglu, E. Erdil, M. A. Reyes Aguirre | |
| 261-5113-00L | Computational Challenges in Medical Genomics  | W | 2 credits | 2S | A. Kahles | |
| 261-5120-00L | Machine Learning for Health Care | W | 5 credits | 2V + 2A | V. Boeva, J. Vogt, M. Kuznetsova | |
| 262-0200-00L | Bayesian Phylodynamics | W | 4 credits | 2G + 2A | T. Vaughan, T. Stadler | |
| 263-5351-00L | Machine Learning for Genomics The deadline for deregistering expires at the end of the third week of the semester. Students who are still registered after that date, but do not provide project work, do not participate in paper presentation sessions and/or do not show up for the exam, will officially fail the course. | W | 5 credits | 2V + 1U + 1A | V. Boeva | |
| 636-0702-00L | Statistical Models in Computational Biology | W | 6 credits | 2V + 1U + 2A | J. Kuipers | |
| 263-4509-00L | Complex Network Models | W | 5 credits | 2V + 2A | J. Lengler | |
| 363-1000-00L | Financial Economics | W | 3 credits | 2V | A. Bommier, P. Colo | |
| 363-1091-00L | Social Data Science | W | 2 credits | 3G | D. Garcia Becerra | |
| 363-1100-00L | Risk Case Study Challenge Does not take place this semester. | W | 3 credits | 2S | ||
| 401-3629-00L | Quantitative Risk Management | W | 4 credits | 2V + 1U | P. Cheridito | |
| 401-3888-00L | Introduction to Mathematical Finance A related course is 401-3913-01L Mathematical Foundations for Finance (3V+2U, 4 ECTS credits). Although both courses can be taken independently of each other, only one will be recognised for credits in the Bachelor and Master degree. In other words, it is not allowed to earn credit points with one for the Bachelor and with the other for the Master degree. | W | 10 credits | 4V + 1U | M. Schweizer | |
| 401-3928-00L | Reinsurance Analytics | W | 4 credits | 2V | P. Arbenz | |
| 401-3936-00L | Data Analytics for Non-Life Insurance Pricing | W | 4 credits | 2V | M. V. Wüthrich, C. M. Buser | |
| 401-4658-00L | Numerical Methods for Finance | W | 6 credits | 3V + 1U | C. Schwab, A. Stein | |
| 401-8915-00L | Advanced Financial Economics (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student. UZH Module Code: 22MO0016 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html | W | 6 credits | 4G | University lecturers | |
Page
1
of
2
All