Search result: Courses in Spring Semester 2021

Computational Biology and Bioinformatics Master Information
More informations at: https://www.cbb.ethz.ch
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.
Bioinformatics
Please note that all Bioinformatics core courses are offered in the autumn semester
Biophysics
NumberTitleTypeECTSHoursLecturers
262-5100-00LProtein Biophysics (University of Zurich)
No enrollment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: BCH304

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html
W6 credits3V + 1U
262-5100-00 VProtein Biophysics (University of Zurich)
**Course at University of Zurich**
3 hrsUniversity lecturers
262-5100-00 UProtein Biophysics (University of Zurich)
**Course at University of Zurich**
1 hrsUniversity lecturers
151-0980-00LBiofluiddynamicsW4 credits2V + 1U
151-0980-00 VBiofluiddynamics2 hrs
Fri10-12HG E 1.2 »
D. Obrist, P. Jenny
151-0980-00 UBiofluiddynamics1 hrs
Fri12-13HG E 1.2 »
D. Obrist
Biosystems
NumberTitleTypeECTSHoursLecturers
636-0016-00LComputational Systems Biology: Stochastic Approaches Information W4 credits3G
636-0016-00 GComputational Systems Biology: Stochastic Approaches
This course will be held online only via Zoom throughout the complete semester.

The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Mon12-15ON LI NE »
M. H. Khammash, A. Gupta
636-0111-00LSynthetic Biology I
Attention: This course was offered in previous semesters with the number: 636-0002-00L "Synthetic Biology I". Students that already passed course 636-0002-00L cannot receive credits for course 636-0111-00L.
W4 credits3G
636-0111-00 GSynthetic Biology I
ATTENTION: the lecture starts at exactly 08.00 am.
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.
If the situation allows, this course will take place in classroom after the Easter break.
3 hrs
Wed08-11BSA E 46 »
08-11HCI J 3 »
S. Panke, J. Stelling
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
Mon16-18ML 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
Starts at 12:15.

This course will be held online only via Zoom throughout the complete semester.

The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Thu12-14ON LI NE »
N. Beerenwinkel
636-0702-00 UStatistical Models in Computational Biology
Starts at 14:15.

The tutorial will be held online only via Zoom throughout the complete semester.

The lecturers will communicate the exact lesson times of ONLINE courses.
1 hrs
Thu14-15ON LI NE »
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 ONLINE only until the end of the semester.
ATTENTION: Lecture starts Wednesday, March 3 (no lecture and tutorial in first week)
Lecture: Wednesday 14-16h
Tutorial: 16-17h

The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Wed14-17ON LI NE »
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)
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 studiensekretariat@inf.ethz.ch
W8 credits4V + 2U + 1A
252-0220-00 VIntroduction to Machine Learning
Findet im ETA F 5 mit Videoübertragung ins ETF E 1 statt
4 hrs
Tue14-16ETA F 5 »
14-16ETF E 1 »
Wed14-16ETA F 5 »
14-16ETF E 1 »
A. Krause, F. Yang
252-0220-00 UIntroduction to Machine Learning
Q&A session Wed 16-17
2 hrs
Fri14-16ML D 28 »
A. Krause, F. Yang
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 hrsA. Krause, F. Yang
636-0101-00LSystems GenomicsW4 credits3G
636-0101-00 GSystems Genomics
This course will be held online only via Zoom throughout the complete semester.
Lecture: Wednesday 11-13
Tutorial: Wednesday 13-14

The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Wed11-14ON LI NE »
N. Beerenwinkel, C. Beisel, S. Reddy
  •  Page  1  of  1