Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Search result: Courses in Spring Semester 2019

Data Science Master Information
Interdisciplinary Electives
NumberTitleTypeECTSHoursLecturers
101-0478-00LMeasurement and Modelling of Travel BehaviourW6 credits4G
101-0478-00 GMeasurement and Modeling of Travel Behaviour4 hrs
Wed10-12HIL F 36.1 »
Thu08-10HIL F 36.1 »
K. W. Axhausen
103-0228-00LMultimedia Cartography
Prerequisite: Successful completion of Cartography III (103-0227-00L).
W4 credits3G
103-0228-00 GMultimedia Cartography3 hrs
Tue08-11HIL G 22 »
H.‑R. Bär, R. Sieber
103-0247-00LMobile GIS and Location-Based ServicesW5 credits4G
103-0247-00 GMobile GIS and Location-Based Services4 hrs
Thu13-17HIL G 22 »
P. Kiefer
103-0255-01LGeodata AnalysisW2 credits2G
103-0255-01 GGeodatenanalyse2 hrs
Thu15-17HIL D 53 »
R. Buffat
227-0945-10LCell and Molecular Biology for Engineers II
This course is part II of a two-semester course.
Knowledge of part I is required.
W3 credits2G
227-0945-10 GCell and Molecular Biology for Engineers II2 hrs
Thu13-15ETZ F 91 »
C. Frei
227-0391-00LMedical Image Analysis
Basic knowledge of computer vision would be helpful.
W3 credits2G
227-0391-00 GMedical Image Analysis2 hrs
Tue13-15CAB G 11 »
19.02.13-15CHN D 48 »
E. Konukoglu, M. A. Reyes Aguirre, C. Tanner
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
261-5120-00LMachine Learning for Health Care Information Restricted registration - show details
Number of participants limited to 78.

Previously called Computational Biomedicine II
W4 credits3P
261-5120-00 PMachine Learning for Health Care3 hrs
Thu15-18LFW C 5 »
G. Rätsch
262-0200-00LBayesian PhylodynamicsW4 credits2G + 2A
262-0200-00 GBayesian Phylodynamics2 hrs
Wed11-13BSA E 60 »
T. Stadler, T. Vaughan
262-0200-00 ABayesian Phylodynamics2 hrsT. Stadler, T. Vaughan
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.
2 hrs
Thu12-14BSB E 4 »
12-14HG 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
Thu14-15BSB E 4 »
14-15HG D 16.2 »
N. Beerenwinkel
636-0702-00 AStatistical Models in Computational Biology
Project work, no fixed presence required.
2 hrsN. Beerenwinkel
263-3501-00LFuture Internet Information
Previously called Advanced Computer Networks
W6 credits1V + 1U + 3A
263-3501-00 VFuture Internet1 hrs
Tue13-14CAB G 51 »
A. Singla
263-3501-00 UFuture Internet1 hrs
Tue14-15CAB G 51 »
A. Singla
263-3501-00 AFuture Internet3 hrsA. Singla
261-5111-00LAsset Management: Advanced Investments (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: MFOEC207

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html
W3 credits2V
261-5111-00 VAsset Management: Advanced Investments (University of Zurich)
**Course at University of Zurich**
2 hrsUniversity lecturers
363-1000-00LFinancial EconomicsW3 credits2V
363-1000-00 VFinancial Economics2 hrs
Tue15-17HG D 5.2 »
A. Bommier
401-3629-00LQuantitative Risk ManagementW4 credits2V + 1U
401-3629-00 VQuantitative Risk Management2 hrs
Thu10-12ML H 44 »
P. Cheridito
401-3629-00 UQuantitative Risk Management1 hrs
Thu12-13ML H 44 »
P. Cheridito
401-3888-00LIntroduction to Mathematical Finance Information
A related course is 401-3913-01L Mathematical Foundations for Finance (3V+2U, 4 ECTS credits). Although both courses can be taken independently of each other, only one will be recognised for credits in the Bachelor and Master degree. In other words, it is not allowed to earn credit points with one for the Bachelor and with the other for the Master degree.
W10 credits4V + 1U
401-3888-00 VIntroduction to Mathematical Finance4 hrs
Mon13-15HG G 3 »
Thu08-10HG D 1.1 »
18.02.13-15HG D 3.2 »
25.02.13-15HG D 3.2 »
M. Larsson
401-3888-00 UIntroduction to Mathematical Finance
Wed 14-15 or Wed 15-16
1 hrs
Wed14-15HG F 26.3 »
15-16HG F 26.3 »
M. Larsson
401-3936-00LData Analytics for Non-Life Insurance PricingW4 credits2V
401-3936-00 VData Analytics for Non-Life Insurance Pricing2 hrs
Tue16-18HG F 5 »
C. M. Buser, M. V. Wüthrich
401-4658-00LComputational Methods for Quantitative Finance: PDE Methods Information Restricted registration - show details W6 credits3V + 1U
401-4658-00 VComputational Methods for Quantitative Finance: PDE Methods
Permission from lecturers required for all students.
3 hrs
Wed13-15HG D 1.2 »
Fri14-15HG D 1.2 »
L. Herrmann, K. Kirchner
401-4658-00 UComputational Methods for Quantitative Finance: PDE Methods1 hrs
Fri13-14HG D 1.2 »
15-16HG D 1.2 »
L. Herrmann, K. Kirchner
401-8915-00LAdvanced Financial Economics (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: MFOEC206

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html
W6 credits4G
401-8915-00 GAdvanced Financial Economics (University of Zurich)
**Course at University of Zurich**
4 hrsUniversity lecturers
701-0412-00LClimate SystemsW3 credits2G
701-0412-00 GKlimasysteme2 hrs
Wed10-12CHN C 14 »
R. Knutti, I. Medhaug
701-1216-00LNumerical Modelling of Weather and Climate Information W4 credits3G
701-1216-00 GNumerical Modelling of Weather and Climate
lecture 13-15 and exercise 15-17 every 14 days
3 hrs
Thu13-15CHN E 46 »
Thu/2w15-17CHN G 42 »
21.03.15-17HG E 5 »
C. Schär, N. Ban
701-1226-00LInter-Annual Phenomena and Their Prediction Information W2 credits2G
701-1226-00 GInter-Annual Phenomena and Their Prediction2 hrs
Thu08-10CHN E 46 »
20.03.08-10CAB G 56 »
C. Appenzeller
701-1252-00LClimate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate AdaptationW3 credits2V + 1U
701-1252-00 VClimate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation2 hrs
Mon08-10CHN F 46 »
D. N. Bresch, R. Knutti
701-1252-00 UClimate Change Uncertainty and Risk: From Probabilistic Forecasts to Economics of Climate Adaptation1 hrs
Mon10-12CHN F 46 »
D. N. Bresch, R. Knutti
851-0252-06LIntroduction to Social Networks: Theory, Methods and Applications
This course is intended for students interested in data analysis and with basic knowledge of inferential statistics.
W3 credits2G
851-0252-06 GIntroduction to Social Networks: Theory, Methods and Applications2 hrs
Mon15-17CHN E 42 »
C. Stadtfeld, T. Elmer, A. Vörös
363-1091-00LSocial Data ScienceW3 credits2G
363-1091-00 GSocial Data Science
Block course:
11.-15.2.2019
30s hrs
11.02. - 14.02.09-16HG E 1.2 »
15.02.09-16HG F 7 »
D. Garcia Becerra
227-0395-00LNeural SystemsW6 credits2V + 1U + 1A
227-0395-00 VNeural Systems2 hrs
Mon09-11LFV E 41 »
R. Hahnloser, M. F. Yanik, B. Grewe
227-0395-00 UNeural Systems1 hrs
Mon11-12LFV E 41 »
15.04.11-13HG E 26.1 »
11-13HG E 26.3 »
29.04.11-13HG E 19 »
11-13HG E 27 »
R. Hahnloser, M. F. Yanik, B. Grewe
227-0395-00 ANeural Systems1 hrsR. Hahnloser, M. F. Yanik, B. Grewe
227-0973-00LTranslational Neuromodeling Information W8 credits3V + 2U + 1A
227-0973-00 VTranslational Neuromodeling3 hrs
Tue09-12HG F 26.3 »
K. Stephan
227-0973-00 UTranslational Neuromodeling2 hrs
Fri14-16ETZ E 6 »
31.05.13-20ETZ E 6 »
K. Stephan
227-0973-00 ATranslational Neuromodeling
No presence required.
Creative task outside the regular weekly exercises.
1 hrsK. Stephan
227-1032-00LNeuromorphic Engineering II Information
Information for UZH students:
Enrolment to this course unit only possible at ETH. No enrolment to module INI405 at UZH.

Please mind the ETH enrolment deadlines for UZH students: Link
W6 credits5G
227-1032-00 GNeuromorphic Engineering II
**together with University of Zurich**

Vorlesung: 13-15
Übungen: 15-18
5 hrs
Tue13-15I55 G 20 »
15-18I35 E 30 »
T. Delbrück, G. Indiveri, S.‑C. Liu
227-1034-00LComputational Vision (University of Zurich) Information
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:
https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html
W6 credits2V + 1U
227-1034-00 VComputational Vision (University of Zurich)
**Course at University of Zurich**
2 hrs
Thu17-19I35 F 32 »
D. Kiper
227-1034-00 UComputational Vision (University of Zurich)
**Course at University of Zurich**
Exercise dates by arrangement.
1 hrsby appt.D. Kiper
851-0739-01LBuilding a Robot Judge: Data Science For the Law
Particularly suitable for students of D-INFK, D-ITET, D-MTEC
W3 credits2V
851-0739-01 VBuilding a Robot Judge: Data Science For the Law2 hrs
Mon13-15LFW C 5 »
E. Ash
851-0739-02LBuilding a Robot Judge: Data Science for the Law (Course Project)
This is the optional course project for "Building a Robot Judge: Data Science for the Law."

Please register only if attending the lecture course or with consent of the instructor.

Some programming experience in Python is required, and some experience with text mining is highly recommended.
W2 credits2V
851-0739-02 VBuilding a Robot Judge: Data Science for the Law (Course Project)
Mondays, 1pm-3pm
28s hrsE. Ash
851-0740-00LBig Data, Law, and Policy Restricted registration - show details
Number of participants limited to 35

Students will be informed by 3.3.2019 at the latest.
W3 credits2S
851-0740-00 SBig Data, Law, and Policy
Permission from lecturers required for all students.
2 hrs
Wed14-15IFW E 42 »
20.02.13-15IFW A 36 »
S. Bechtold, T. Roscoe, E. Vayena
363-1100-00LRisk Case Study Challenge Restricted registration - show details
Limited number of participants.

Please apply for this course via the official website (www.riskcenter.ethz.ch). Once your application is confirmed, registration in myStudies is possible.
W3 credits2S
363-1100-00 SRisk Case Study Challenge Special students and auditors need a special permission from the lecturers.2 hrs
Mon12-14LEE E 101 »
B. J. Bergmann, A. Bommier, S. Feuerriegel