Suchergebnis: Lehrveranstaltungen im Frühjahrssemester 2021

Computational Biology and Bioinformatics Master Information
More informations at: Link
Kernfächer
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
NummerTitelTypECTSUmfangDozierende
262-5100-00LProtein Biophysics (University of Zurich)
Der Kurs muss direkt an der UZH belegt werden.
UZH Modulkürzel: BCH304

Beachten Sie die Einschreibungstermine an der UZH: Link
W6 KP3V + 1U
262-5100-00 VProtein Biophysics (University of Zurich)
**Course at University of Zurich**
3 Std.Uni-Dozierende
262-5100-00 UProtein Biophysics (University of Zurich)
**Course at University of Zurich**
1 Std.Uni-Dozierende
151-0980-00LBiofluiddynamicsW4 KP2V + 1U
151-0980-00 VBiofluiddynamics2 Std.
Fr10:15-12:00HG E 1.2 »
D. Obrist, P. Jenny
151-0980-00 UBiofluiddynamics1 Std.
Fr12:15-13:00HG E 1.2 »
D. Obrist
Biosystems
NummerTitelTypECTSUmfangDozierende
636-0016-00LComputational Systems Biology: Stochastic Approaches Information W4 KP3G
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 Std.
Mo12:00-15:00ON 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 KP3G
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 Std.
Mi07:45-10:30HCI J 3 »
08:15-11:00BSA E 46 »
S. Panke, J. Stelling
Data Science
NummerTitelTypECTSUmfangDozierende
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 KP2V
551-0364-00 VFunctional Genomics
**together with University of Zurich**
More information at: Link
2 Std.
Mo16:15-18:00ML H 41.1 »
C. von Mering, C. Beyer, B. Bodenmiller, M. Gstaiger, H. Rehrauer, R. Schlapbach, K. Shimizu, N. Zamboni, weitere Dozierende
636-0702-00LStatistical Models in Computational BiologyW6 KP2V + 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 Std.
Do12:00-14:00ON 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 Std.
Do14:00-15:00ON LI NE »
N. Beerenwinkel
636-0702-00 AStatistical Models in Computational Biology
Project work, no fixed presence required.
2 Std.N. 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 KP3G + 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 Std.
Mi14:00-17:00ON LI NE »
K. M. Borgwardt
636-0019-00 AData Mining II
Project Work (compulsory continuous performance assessment), no fixed presence required.
2 Std.K. M. Borgwardt
262-6190-00LMachine LearningW8 KP4G
262-6190-00 GMachine Learning (University of Basel)
**Course at University of Basel**
Link
4 Std.externe Veranstalter
252-0220-00LIntroduction to Machine Learning Information Belegung eingeschränkt - Details anzeigen
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 KP4V + 2U + 1A
252-0220-00 VIntroduction to Machine Learning
Findet im ETA F 5 mit Videoübertragung ins ETF E 1 statt
4 Std.
Di14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
Mi14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
A. Krause, F. Yang
252-0220-00 UIntroduction to Machine Learning
Q&A session Wed 16-17
2 Std.
Fr14:15-16:00ML D 28 »
A. Krause, F. Yang
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 Std.A. Krause, F. Yang
636-0101-00LSystems GenomicsW4 KP3G
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 Std.
Mi11:00-14:00ON LI NE »
N. Beerenwinkel, C. Beisel, S. Reddy
Seminar
Compulsory seminar.
NummerTitelTypECTSUmfangDozierende
636-0704-00LComputational Biology and Bioinformatics SeminarO2 KP2S
636-0704-00 SComputational Biology and Bioinformatics Seminar
ATTENTION: The CBB Seminar will be broadcasted using a Zoom videoconference. The lecturer will inform the students about the URL to participate in the online course
2 Std.
Do16:15-18:00CHN D 48 »
J. Stelling, D. Iber, M. H. Khammash, J. Payne, T. Stadler
Vertiefungsfächer
A total of 30 ECTS needs to be acquired in the Advanced Courses category. Thereof 18 ECTS in the Theory and 12 ECTS in the Biology category.
Note that some of the lectures are being recorded: Link
Theorie
At least 18 ECTS need to be acquired in this category.
NummerTitelTypECTSUmfangDozierende
252-0063-00LData Modelling and Databases Information W7 KP4V + 2U
252-0063-00 VData Modelling and Databases4 Std.
Mi14:15-16:00ML D 28 »
Fr08:15-10:00ML D 28 »
C. Zhang
252-0063-00 UData Modelling and Databases
Gruppeneinteilung erfolgt über myStudies.
2 Std.
Do16:15-18:00HG F 5 »
Fr14:15-16:00CHN C 14 »
C. Zhang
401-0674-00LNumerical Methods for Partial Differential Equations
Nicht für Studierende BSc/MSc Mathematik
W10 KP2G + 2U + 2P + 4A
401-0674-00 GNumerical Methods for Partial Differential Equations
This course is designed in a flipped classroom format based on video tutorials and supplemented by a weekly question-and-answer session, for which attendance is highly recommended.
2 Std.
Mo16:15-18:00HG F 1 »
R. Hiptmair
401-0674-00 UNumerical Methods for Partial Differential Equations
Gruppeneinteilung erfolgt über myStudies.
2 Std.
Fr10:15-12:00ETZ E 8 »
10:15-12:00HG D 1.1 »
10:15-12:00HG G 3 »
11:15-13:00ETZ G 91 »
R. Hiptmair
401-0674-00 PNumerical Methods for Partial Differential Equations
Homework C++ coding projects for the course "Numerical Methods for Partial Differential Equations"
2 Std.R. Hiptmair
401-0674-00 ANumerical Methods for Partial Differential Equations
Video guided self-study or group-study for the course "Numerical Methods for Partial Differential Equations"
4 Std.R. Hiptmair
401-3052-05LGraph Theory Information W5 KP2V + 1U
401-3052-05 VGraph Theory28s Std.
Mi/110:15-12:00HG E 5 »
Do/110:15-12:00HG F 3 »
B. Sudakov
401-3052-05 UGraph Theory7s Std.
Do/116:15-17:00CAB G 52 »
16:15-17:00CAB G 56 »
16:15-17:00HG E 33.5 »
17:15-18:00HG E 33.5 »
B. Sudakov
227-0558-00LPrinciples of Distributed Computing Information W7 KP2V + 2U + 2A
227-0558-00 VPrinciples of Distributed Computing2 Std.
Mi08:15-10:00CAB G 11 »
R. Wattenhofer, M. Ghaffari
227-0558-00 UPrinciples of Distributed Computing
In Gruppen
2 Std.
Mi14:15-16:00LFW C 11 »
16:15-18:00HG G 26.1 »
R. Wattenhofer, M. Ghaffari
227-0558-00 APrinciples of Distributed Computing
No presence required.
Creative task outside the regular weekly exercises.
2 Std.R. Wattenhofer, M. Ghaffari
401-3632-00LComputational StatisticsW8 KP3V + 1U
401-3632-00 VComputational Statistics
Vorlesung im HG F 1 mit Videoübertragung ins HG F 3.
3 Std.
Do14:15-16:00HG F 1 »
14:15-16:00HG F 3 »
Fr09:15-10:00HG F 1 »
09:15-10:00HG F 3 »
M. Mächler
401-3632-00 UComputational Statistics
A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG G 5.
1 Std.
Fr10:15-11:00HG G 5 »
M. Mächler
101-0178-01LUncertainty Quantification in Engineering Information W3 KP2G
101-0178-01 GUncertainty Quantification in Engineering2 Std.
Do15:45-17:30HPV G 5 »
S. Marelli, B. Sudret
252-0526-00LStatistical Learning Theory Information W8 KP3V + 2U + 2A
252-0526-00 VStatistical Learning Theory3 Std.
Mo14:15-16:00HG G 3 »
Di17:15-18:00HG F 5 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 UStatistical Learning Theory2 Std.
Mo16:15-18:00HG G 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 AStatistical Learning Theory2 Std.J. M. Buhmann, C. Cotrini Jimenez
227-0216-00LControl Systems II Information W6 KP4G
227-0216-00 GControl Systems II4 Std.
Mi08:15-12:00HG E 1.2 »
R. Smith
151-0566-00LRecursive Estimation Information W4 KP2V + 1U
151-0566-00 VRecursive Estimation
The lecture starts in the second week of the Semester.
2 Std.
Mi14:15-16:00HG F 1 »
R. D'Andrea
151-0566-00 URecursive Estimation
The exercise starts in the second week of the Semester.
1 Std.
Mi16:15-17:00HG F 1 »
R. D'Andrea
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