Search result: Courses in Spring Semester 2020

Computational Biology and Bioinformatics Master Information
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
NumberTitleTypeECTSHoursLecturers
551-0364-00LFunctional 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
W3 credits2V
551-0364-00 VFunctional Genomics
**together with University of Zurich**
More information at: Link
2 hrs
Mon15:15-17:00ML H 41.1 »
C. von Mering, C. Beyer, B. Bodenmiller, M. Gstaiger, H. Rehrauer, R. Schlapbach, K. Shimizu, N. Zamboni, further lecturers
636-0702-00LStatistical Models in Computational BiologyW6 credits2V + 1U + 2A
636-0702-00 VStatistical 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
Thu12:00-14:00ER SA TZ »
12:15-14:00BSB E 4 »
12:15-14:00HG D 16.2 »
N. Beerenwinkel
636-0702-00 UStatistical 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
Thu14:00-15:00ER SA TZ »
14:15-15:00BSB E 4 »
14:15-15:00HG D 16.2 »
N. Beerenwinkel
636-0702-00 AStatistical Models in Computational Biology
Project work, no fixed presence required.
2 hrsN. Beerenwinkel
636-0019-00LData 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.
W6 credits3G + 2A
636-0019-00 GData 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
Wed14:00-17:00ER SA TZ »
14:15-17:00BSB E 4 »
14:15-17:00HG D 16.2 »
K. M. Borgwardt
636-0019-00 AData Mining II
Project Work (compulsory continuous performance assessment), no fixed presence required.
2 hrsK. M. Borgwardt
262-6190-00LMachine LearningW8 credits4G
262-6190-00 GMachine Learning (University of Basel)
**Course at University of Basel**
Link
4 hrsexternal organisers
252-0220-00LIntroduction to Machine Learning Information Restricted registration - show details
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
W8 credits4V + 2U + 1A
252-0220-00 VIntroduction to Machine Learning
FS20 CORONA: Keine Aufzeichnung / 17.03.20 rb
4 hrs
Tue13:00-15:00ER SA TZ »
13:15-15:00ETA F 5 »
13:15-15:00ETF E 1 »
Wed13:00-15:00ER SA TZ »
13:15-15:00ETA F 5 »
13:15-15:00ETF E 1 »
A. Krause
252-0220-00 UIntroduction to Machine Learning2 hrs
Wed15:00-17:00ER SA TZ »
15:15-17:00CAB G 61 »
17:00-19:00ER SA TZ »
17:15-19:00CAB G 61 »
Fri13:00-15:00ER SA TZ »
13:15-15:00ML D 28 »
A. Krause
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 hrsA. Krause
636-0101-00LSystems GenomicsW4 credits3G
636-0101-00 GSystems Genomics
The lecture is being recorded.
Lecture: Wednesday 11-13
Tutorial: Wednesday 17-18
3 hrs
Wed11:15-13:00BSA E 46 »
17:15-18:00BSA E 46 »
N. Beerenwinkel, C. Beisel, S. Reddy
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