Search result: Courses in Spring Semester 2020
Computational Biology and Bioinformatics Master More informations at: Link | ||||||||||||||||||||||||
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 | |||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
551-0364-00L | Functional Genomics Information for UZH students: Enrolment to this course unit only possible at ETH. No enrolment to module BIO 254 at UZH. Please mind the ETH enrolment deadlines for UZH students: Link | W | 3 credits | 2V | ||||||||||||||||||||
551-0364-00 V | Functional Genomics **together with University of Zurich** More information at: Link | 2 hrs |
| C. von Mering, C. Beyer, B. Bodenmiller, M. Gstaiger, H. Rehrauer, R. Schlapbach, K. Shimizu, N. Zamboni, further lecturers | ||||||||||||||||||||
636-0702-00L | Statistical Models in Computational Biology | W | 6 credits | 2V + 1U + 2A | ||||||||||||||||||||
636-0702-00 V | Statistical Models in Computational Biology The lecture will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. Lecture will be streamed and recorded | 2 hrs |
| N. Beerenwinkel | ||||||||||||||||||||
636-0702-00 U | Statistical Models in Computational Biology The tutorial will be held either in Zurich or Basel and will be transmitted via videoconference to the second location. | 1 hrs |
| N. Beerenwinkel | ||||||||||||||||||||
636-0702-00 A | Statistical Models in Computational Biology Project work, no fixed presence required. | 2 hrs | N. Beerenwinkel | |||||||||||||||||||||
636-0019-00L | Data Mining II Prerequisites: Basic understanding of mathematics, as taught in basic mathematics courses at the Bachelor`s level. Ideally, students will have attended Data Mining I before taking this class. | W | 6 credits | 3G + 2A | ||||||||||||||||||||
636-0019-00 G | Data Mining II The lecture will be held each Wednesday either in Zurich or Basel and will be transmitted via videoconference to the second location. Lecture: Wednesday 14-16h Tutorial: 16-17h ***ATTENTION: Starting with the lecture on March 11, the Data Mining II lectures will be broadcasted using a Zoom videoconference. Further information and URL for video is available on the Moodle course website.*** | 3 hrs |
| K. M. Borgwardt | ||||||||||||||||||||
636-0019-00 A | Data Mining II Project Work (compulsory continuous performance assessment), no fixed presence required. | 2 hrs | K. M. Borgwardt | |||||||||||||||||||||
262-6190-00L | Machine Learning | W | 8 credits | 4G | ||||||||||||||||||||
262-6190-00 G | Machine Learning (University of Basel) **Course at University of Basel** Link | 4 hrs | external organisers | |||||||||||||||||||||
252-0220-00L | Introduction to Machine Learning Limited number of participants. Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact Link | W | 8 credits | 4V + 2U + 1A | ||||||||||||||||||||
252-0220-00 V | Introduction to Machine Learning FS20 CORONA: Keine Aufzeichnung / 17.03.20 rb | 4 hrs |
| A. Krause | ||||||||||||||||||||
252-0220-00 U | Introduction to Machine Learning | 2 hrs |
| A. Krause | ||||||||||||||||||||
252-0220-00 A | Introduction to Machine Learning No presence required. | 1 hrs | A. Krause | |||||||||||||||||||||
636-0101-00L | Systems Genomics | W | 4 credits | 3G | ||||||||||||||||||||
636-0101-00 G | Systems Genomics The lecture is being recorded. Lecture: Wednesday 11-13 Tutorial: Wednesday 17-18 | 3 hrs |
| N. Beerenwinkel, C. Beisel, S. Reddy |
- Page 1 of 1