Search result: Courses in Autumn Semester 2017
Computational Biology and Bioinformatics Master  More informations at: https://www.cbb.ethz.ch/ | ||||||||||||||||||
 Master Studies (Programme Regulations 2017) | ||||||||||||||||||
| Core Courses Please note that the list of core courses is a closed list. Other courses cannot be added to the core course category in the study plan. Also the assignments of courses to core subcategories cannot be changed. Students need to pass at least one course in each core subcategory. A total of 40 ECTS needs to be acquired in the core course category. | ||||||||||||||||||
| Data Science | ||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 636-0018-00L | Data Mining I | W | 6 credits | 3G + 2A | ||||||||||||||
| 636-0018-00 G | Data Mining I The lecture will be held each Wednesday either in Zurich or Basel and will be transmitted via videoconference to the second location. Lecture in Basel/Zürich: Wednesday 8-11h (BSA E46 / HG D16.2) Attention: Lecture starts on Wednesday, October 4 (No classes on 20.09. and 27.09). | 3 hrs |
| K. M. Borgwardt | ||||||||||||||
| 636-0018-00 A | Data Mining I Project Work, no fixed presence required. | 2 hrs | K. M. Borgwardt | |||||||||||||||
| 401-6282-00L | Statistical Analysis of High-Throughput Genomic and Transcriptomic Data (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: STA426 Mind the enrolment deadlines at UZH: https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html | W | 5 credits | 3G | ||||||||||||||
| 401-6282-00 G | Statistical Analysis of High-Throughput Genomic and Transcriptomic Data (University of Zurich) **Course at University of Zurich** | 3 hrs |
| H. Rehrauer, M. Robinson | ||||||||||||||
| 252-0535-00L | Machine Learning | W | 8 credits | 3V + 2U + 2A | ||||||||||||||
| 252-0535-00 V | Machine Learning Vorlesung: Donnerstag im ML D 28 mit Videoübertragung im ML E 12 Freitag im HG F 1 mit Videoübertragung im HG F 3 | 3 hrs |
| J. M. Buhmann | ||||||||||||||
| 252-0535-00 U | Machine Learning | 2 hrs |
| J. M. Buhmann | ||||||||||||||
| 252-0535-00 A | Machine Learning Project Work, no fixed presence required. | 2 hrs | J. M. Buhmann | |||||||||||||||
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