Search result: Courses in Spring Semester 2020

Computational Biology and Bioinformatics Master Information
More informations at:
Advanced Courses
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:
At least 18 ECTS need to be acquired in this category.
252-0063-00LData Modelling and Databases Information Restricted registration - show details W7 credits4V + 2U
252-0063-00 VData Modelling and Databases4 hrs
Wed13-15ER SA TZ »
13-15ML D 28 »
Fri08-10ER SA TZ »
08-10ML D 28 »
C. Zhang
252-0063-00 UData Modelling and Databases
Groups are selected in myStudies.
2 hrs
Thu15-17ER SA TZ »
15-17HG F 5 »
Fri13-15CHN C 14 »
13-15ER SA TZ »
C. Zhang
401-0674-00LNumerical Methods for Partial Differential Equations
Not meant for BSc/MSc students of mathematics.
W10 credits2G + 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 hrs
Mon15-17ER SA TZ »
15-17HG F 1 »
R. Hiptmair
401-0674-00 UNumerical Methods for Partial Differential Equations
Groups are selected in myStudies.
2 hrs
Fri10-12ER SA TZ »
10-12ER SA TZ »
10-12ETZ E 8 »
10-12HG D 1.1 »
10-12HG G 3 »
11-13ETZ 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 hrsR. 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 hrsR. Hiptmair
401-3052-05LGraph Theory Information W5 credits2V + 1U
401-3052-05 VGraph Theory28s hrs
Wed/110-12ER SA TZ »
10-12HG E 5 »
Thu/110-12ER SA TZ »
10-12HG F 3 »
B. Sudakov
401-3052-05 UGraph Theory7s hrs
Thu/115-16CAB G 52 »
15-16CAB G 56 »
15-16HG E 21 »
17-18HG E 33.5 »
B. Sudakov
227-1034-00LComputational Vision (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: INI402

Mind the enrolment deadlines at UZH:
W6 credits2V + 1U
227-1034-00 VComputational Vision (University of Zurich)
**Course at University of Zurich**
2 hrs
Thu17-19Y35 F 32 »
D. Kiper
227-1034-00 UComputational Vision (University of Zurich)
**Course at University of Zurich**
Exercise dates by arrangement.
1 hrsD. Kiper
227-0558-00LPrinciples of Distributed Computing Information W7 credits2V + 2U + 2A
227-0558-00 VPrinciples of Distributed Computing2 hrs
Wed08-10CAB G 11 »
08-10ER SA TZ »
R. Wattenhofer, M. Ghaffari
227-0558-00 UPrinciples of Distributed Computing
In Gruppen
2 hrs
Wed13-15LFW C 11 »
15-17HG 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 hrsR. Wattenhofer, M. Ghaffari
401-3632-00LComputational StatisticsW8 credits3V + 1U
401-3632-00 VComputational Statistics3 hrs
Thu13-15ER SA TZ »
13-15HG F 1 »
Fri09-10ER SA TZ »
09-10NO C 60 »
M. H. Maathuis
401-3632-00 UComputational Statistics
A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG G 5.
1 hrs
Fri10-11ER SA TZ »
10-11HG G 5 »
M. H. Maathuis
101-0178-01LUncertainty Quantification in Engineering Information W3 credits2G
101-0178-01 GUncertainty Quantification in Engineering2 hrs
Thu15-17HIL E 1 »
30.04.15-17HIL E 1 »
S. Marelli
252-0526-00LStatistical Learning Theory Information W7 credits3V + 2U + 1A
252-0526-00 VStatistical Learning Theory3 hrs
Mon14-16ER SA TZ »
14-16HG G 3 »
Tue17-18ER SA TZ »
17-18HG G 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 UStatistical Learning Theory2 hrs
Mon16-18ER SA TZ »
16-18HG G 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 AStatistical Learning Theory1 hrsJ. M. Buhmann, C. Cotrini Jimenez
227-0216-00LControl Systems II Information W6 credits4G
227-0216-00 GControl Systems II4 hrs
Wed08-12ER SA TZ »
08-12HG E 1.2 »
R. Smith
151-0566-00LRecursive Estimation Information W4 credits2V + 1U
151-0566-00 VRecursive Estimation
The lecture starts in the second week of the Semester.
2 hrs
Wed13-15ER SA TZ »
13-15HG F 1 »
R. D'Andrea
151-0566-00 URecursive Estimation
The exercise starts in the second week of the Semester.
1 hrs
Wed15-16ER SA TZ »
15-16HG F 1 »
R. D'Andrea
401-3642-00LBrownian Motion and Stochastic Calculus Information W10 credits4V + 1U
401-3642-00 VBrownian Motion and Stochastic Calculus
Lectures will be recorded and published weekly on the Videoportal (
4 hrs
Wed08-10ER SA TZ »
08-10HG E 5 »
Thu10-12ER SA TZ »
10-12ETF C 1 »
W. Werner
401-3642-00 UBrownian Motion and Stochastic Calculus
Groups are selected in myStudies.
See at
1 hrs
Fri08-09HG G 26.5 »
09-10HG G 26.5 »
12-13HG G 26.3 »
W. Werner
401-3602-00LApplied Stochastic Processes Information W8 credits3V + 1U
401-3602-00 VApplied Stochastic Processes
Does not take place this semester.
3 hrsnot available
401-3602-00 UApplied Stochastic Processes
Does not take place this semester.
1 hrsnot available
636-0530-00LHigh Performance ComputingW4 credits4G
636-0530-00 GHigh Performance Computing (University of Basel)
4 hrsexternal organisers
262-6220-00LMolecular Dynamics Simulations with Applications in Soft MatterW3 credits3V
262-6220-00 VMolecular Dynamics Simulations with Applications in Soft Matter (Uni Basel)
Does not take place this semester.
**Course at University of Basel**
3 hrsexternal organisers
262-0200-00LBayesian PhylodynamicsW4 credits2G + 2A
262-0200-00 GBayesian Phylodynamics
***ATTENTION: Starting with the lecture on March18, the Bayesian Phylodynamics lecture will be broadcasted using a Zoom videoconference. The lecturer will inform the students about the URL to participate in the online course***
2 hrs
Wed11-13BSB E 4 »
T. Stadler, T. Vaughan
262-0200-00 ABayesian Phylodynamics2 hrsT. Stadler, T. Vaughan
261-5113-00LComputational Challenges in Medical Genomics Information Restricted registration - show details
Number of participants limited to 20.
W2 credits2S
261-5113-00 SComputational Challenges in Medical Genomics2 hrs
Mon13-15CAB G 57 »
A. Kahles, G. Rätsch
262-6240-00LDistributed Information Systems
Mutually exclusive courses in the advanced course category: "Distributed Information Systems" (Uni Basel) and "Principles of Distributed Compution" (ETH Zürich).
W4 credits2V
262-6240-00 VDistributed Information Systems (University of Basel)
2 hrsexternal organisers
252-0834-00LInformation Systems for Engineers Information
Wird ab HS20 nur in Herbstsemester angeboten.
W4 credits2V + 1U
252-0834-00 VInformation Systems for Engineers2 hrs
Thu08-10ER SA TZ »
08-10ML D 28 »
G. Fourny
252-0834-00 UInformation Systems for Engineers
Groups are selected in myStudies.
1 hrs
Thu14-15CAB G 56 »
14-15CAB G 57 »
Fri15-16CHN D 42 »
15-16CHN D 44 »
G. Fourny
636-0022-00LDesign of ExperimentsW4 credits3G
636-0022-00 GDesign of Experiments3 hrs
Thu16-19BSA E 46 »
H.‑M. Kaltenbach
252-3900-00LBig Data for Engineers Information
This course is not intended for Computer Science and Data Science MSc students!
W6 credits2V + 2U + 1A
252-3900-00 VBig Data for Engineers2 hrs
Tue10-12ER SA TZ »
10-12HG G 5 »
G. Fourny
252-3900-00 UBig Data for Engineers
Groups are selected in myStudies.
2 hrs
Wed14-16CAB G 57 »
15-17ML H 34.3 »
15-17NO C 44 »
16-18NO D 11 »
Fri15-17CAB G 56 »
15-17CAB G 57 »
G. Fourny
252-3900-00 ABig Data for Engineers1 hrsG. Fourny
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