Suchergebnis: Lehrveranstaltungen im Frühjahrssemester 2023

Computational Biology and Bioinformatics Master Information
More informations at: https://www.cbb.ethz.ch
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 als incoming student belegt werden.
UZH Modulkürzel: BCH304

Beachten Sie die Einschreibungstermine an der UZH:
https://www.uzh.ch/cmsssl/de/studies/application/deadlines.html
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 ApproachesW4 KP3G
636-0016-00 GComputational Systems Biology: Stochastic Approaches
The lecture will take place in person in Basel.
3 Std.
Mo12:15-15:00BSD G 207.1 »
M. H. Khammash, A. Gupta
636-0111-00LSynthetic Biology IW4 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.
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**
2 Std.
Mo16:15-18:00ML H 41.1 »
C. von Mering, 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
This lecture will take place online only (via Zoom). Link will be send to registered students in due time.
Online lecture: This lecture will primarily take place online. Reserved rooms will remain blocked on campus for students to follow the course from there.
2 Std.
Do12:15-14:00BSD G 205 »
12:15-14:00CAB G 59 »
J. Kuipers
636-0702-00 UStatistical Models in Computational Biology
This lecture will take place online only (via Zoom). Link will be send to registered students in due time.
1 Std.
Do14:15-15:00BSD G 205 »
14:15-15:00CAB G 59 »
J. Kuipers
636-0702-00 AStatistical Models in Computational Biology
Project work, no fixed presence required.
2 Std.J. Kuipers
262-6190-00LMachine Learning
Der Kurs muss direkt an der Uni Basel belegt werden.
UBas Kursnummer 17165

Beachten Sie die Einschreibungstermine und -Modalitäten an der Uni Basel: Link
W8 KP4G
262-6190-00 GMachine Learning (University of Basel)
**Course at University of Basel**
https://vorlesungsverzeichnis.unibas.ch/en/home?id=271888
4 Std.externe Veranstalter
252-0220-00LIntroduction to Machine Learning Information Belegung eingeschränkt - Details anzeigen
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 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
Findet im ETA F5 mit Videoübertragung ins ETF E1 statt.
2 Std.
Fr14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
A. Krause, F. Yang
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 Std.A. Krause, F. Yang
Seminar
Compulsory seminar.
NummerTitelTypECTSUmfangDozierende
636-0704-00LComputational Biology and Bioinformatics Seminar Belegung eingeschränkt - Details anzeigen
The seminar is addressed primarily at students enrolled in the MSc CBB programme.
Students of other ETH study programmes interested in this course need to ask the lecturer for permission to enrol in the course.

The Seminar will be offered in autumn semester in Basel (involving professors and lecturers from the University of Basel) and in spring semester in Zurich (involving professors and lecturers from the University of Zurich). Professors and lecturers from ETH Zurich are involved in both semesters.
O2 KP2S
636-0704-00 SComputational Biology and Bioinformatics Seminar2 Std.
Do16:15-18:00CHN D 48 »
J. Stelling, D. Iber, M. H. Khammash, J. Payne
Vertiefungsfächer
A total of 30 ECTS needs to be acquired in the Advanced Courses category. Thereof at least 16 ECTS in the Theory and 10 ECTS in the Biology category.
Note that some of the lectures are being recorded: https://video.ethz.ch/lectures.html
Theorie
At least 16 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 »
G. Alonso, 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 »
G. Alonso, 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 »
10:15-12:00ETZ H 91 »
12:15-14:00ETZ E 8 »
12:15-14:00ETZ H 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"
This course coincides with 401-0674-00 Numerical Methods for Partial Differential Equations, which is taught this Spring Term. All students who have to take this course must also enrol in 401-0674-00 Numerical Methods for Partial Differential Equations.
4 Std.R. Hiptmair
401-3052-05LIntroduction to Graph Theory
This is the first half of the course unit 401-3052-10L Graph Theory. Notice that at most one of the two course units 401-3052-05L Introduction to Graph Theory and 401-3052-10L Graph Theory can be recognised for credits.
W5 KP2V + 1U
401-3052-05 VIntroduction to Graph Theory28s Std.
Mi/110:15-12:00HG E 5 »
Do/110:15-12:00HG F 3 »
B. Sudakov
401-3052-05 UIntroduction to Graph Theory7s Std.
Fr/112:15-13:00HG E 1.1 »
12:15-13:00ML F 39 »
16:15-17:00HG D 5.2 »
16:15-17:00HG E 1.1 »
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 61 »
R. Wattenhofer
227-0558-00 UPrinciples of Distributed Computing
In Gruppen
2 Std.
Mi14:15-16:00ETZ E 6 »
16:15-18:00ETZ E 6 »
R. Wattenhofer
227-0558-00 APrinciples of Distributed Computing
No presence required.
Creative task outside the regular weekly exercises.
2 Std.R. Wattenhofer
401-3632-00LComputational StatisticsW8 KP3V + 1U
401-3632-00 VComputational Statistics3 Std.
Do14:15-16:00HG F 1 »
Fr09:15-10:00HG F 1 »
M. Mächler
401-3632-00 UComputational Statistics
A "Präsenzstunde" directly following the exercises will be offered
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.
Do15:45-17:30HIL E 3 »
N. Lüthen
252-0526-00LStatistical Learning Theory Information W8 KP3V + 2U + 2A
252-0526-00 VStatistical Learning Theory3 Std.
Mo10:15-12:00HG E 7 »
Di17:15-18:00CAB G 61 »
J. M. Buhmann
252-0526-00 UStatistical Learning Theory2 Std.
Mo16:15-18:00HG G 3 »
J. M. Buhmann
252-0526-00 AStatistical Learning Theory2 Std.J. M. Buhmann
227-0216-00LComputational Control
Previously (up until FS22) named "Control Systems II"
W6 KP2V + 2U
227-0216-00 VComputational Control2 Std.
Mo10:15-12:00HG D 1.1 »
S. Bolognani
227-0216-00 UComputational Control2 Std.
Mi10:15-12:00HG E 1.2 »
S. Bolognani
151-0566-00LRecursive Estimation Information W4 KP2V + 1U
151-0566-00 VRecursive Estimation
The course starts in the 2nd week.
2 Std.
Mi14:15-16:00HG F 1 »
R. D'Andrea
151-0566-00 URecursive Estimation
The course starts in the 2nd week
1 Std.
Mi16:15-17:00HG F 1 »
R. D'Andrea
401-3642-00LBrownian Motion and Stochastic Calculus Information Belegung eingeschränkt - Details anzeigen W10 KP4V + 1U
401-3642-00 VBrownian Motion and Stochastic Calculus4 Std.
Di08:15-10:00HG E 3 »
Do08:15-10:00HG E 3 »
D. Possamaï
401-3642-00 UBrownian Motion and Stochastic Calculus
Gruppeneinteilung erfolgt über myStudies.
1 Std.
Fr08:15-09:00HG G 26.5 »
09:15-10:00HG G 26.5 »
12:15-13:00HG G 26.3 »
D. Possamaï
401-3602-00LApplied Stochastic Processes Information W8 KP3V + 1U
401-3602-00 VApplied Stochastic Processes3 Std.
Di10:15-13:00NO C 60 »
V. Tassion
401-3602-00 UApplied Stochastic Processes
Gruppeneinteilung erfolgt über myStudies.
1 Std.
Mi13:15-14:00ML H 41.1 »
Do12:15-13:00HG G 26.5 »
V. Tassion
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