Search result: Courses in Autumn Semester 2019

Data Science Master Information
Interdisciplinary Electives
NumberTitleTypeECTSHoursLecturers
101-0491-00LAgent Based Modeling in TransportationW6 credits4G
101-0491-00 GAgent Based Modeling in Transportation4 hrs
Mon09:45-11:30HPK D 24.2 »
Tue12:45-14:30HPK D 24.2 »
T. J. P. Dubernet, M. Balac
103-0227-00LCartography III Information W5 credits4G
103-0227-00 GCartography III4 hrs
Mon12:45-16:30HIL G 22 »
L. Hurni
103-0237-00LGIS IIIW5 credits3G
103-0237-00 GGIS III3 hrs
Thu13:45-16:30HIL D 53 »
M. Raubal
103-0778-00LGIS and Geoinformatics LabW4 credits3P
103-0778-00 PGIS and Geoinformatics Lab3 hrs
Tue13:45-16:30HIL D 54.1 »
M. Raubal
263-3900-01LCommunication Networks Seminar Information Restricted registration - show details
Number of participants limited to 20.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2S
263-3900-00 SCommunication Networks Seminar2 hrs
Tue15:15-17:00CHN G 46 »
A. Singla
227-0575-00LAdvanced Topics in Communication Networks (Autumn 2019) Information W6 credits2V + 2U
227-0575-00 VAdvanced Topics in Communication Networks (Autumn 2019)2 hrs
Tue13:15-15:00ML H 44 »
L. Vanbever
227-0575-00 UAdvanced Topics in Communication Networks (Autumn 2019)2 hrs
Tue15:15-17:00ML H 44 »
L. Vanbever
401-3922-00LLife Insurance MathematicsW4 credits2V
401-3922-00 VLife Insurance Mathematics2 hrs
Fri16:15-18:00HG E 1.1 »
M. Koller
401-3925-00LNon-Life Insurance: Mathematics and Statistics Information W8 credits4V + 1U
401-3925-00 VNon-Life Insurance: Mathematics and Statistics4 hrs
Mon16:15-18:00HG D 7.1 »
Tue13:15-15:00HG D 7.1 »
M. V. Wüthrich
401-3925-00 UNon-Life Insurance: Mathematics and Statistics1 hrs
Tue15:15-16:00HG D 7.1 »
M. V. Wüthrich
401-3928-00LReinsurance AnalyticsW4 credits2V
401-3928-00 VReinsurance Analytics2 hrs
Tue16:15-18:00HG E 1.1 »
P. Antal, P. Arbenz
401-4889-00LMathematical Finance Information W11 credits4V + 2U
401-4889-00 VMathematical Finance4 hrs
Tue08:15-10:00HG E 1.1 »
Thu08:15-10:00ML F 39 »
J. Teichmann
401-4889-00 UMathematical Finance2 hrs
Fri10:15-12:00ML F 38 »
J. Teichmann
401-8905-00LFinancial Engineering (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: MFOEC200

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/mobilitaet.html
W6 credits4G
401-8905-00 GFinancial Engineering (University of Zurich)
**Course at University of Zurich**
4 hrs
Thu10:15-12:00UNI ZH .
16:15-18:00UNI ZH .
University lecturers
851-0252-13LNetwork Modeling
Particularly suitable for students of D-INFK

Students are required to have basic knowledge in inferential statistics, such as regression models.
W3 credits2V
851-0252-13 VNetwork Modeling2 hrs
Mon17:15-19:00NO C 44 »
C. Stadtfeld, V. Amati
851-0735-09LWorkshop & Lecture Series on the Law & Economics of Innovation Information W2 credits2S
851-0735-09 SWorkshop & Lecture Series on the Law & Economics of Innovation
**together with University of Zurich**
More information at: Link

Unregelmässige Veranstaltung.
2 hrs
Tue16:15-18:00UNI ZH .
Wed16:15-18:00IFW A 32.1 »
S. Bechtold, H. Gersbach, A. Heinemann
851-0252-15LNetwork Analysis
Particularly suitable for students of D-INFK, D-MATH
W3 credits2V
851-0252-15 VNetwork Analysis
The course on Thursday is on a voluntary basis and takes place every two weeks.
The course starts on Thursday 23.09.2019.
2 hrs
Wed17:15-19:00ML F 36 »
Thu/2w17:15-19:00LEE D 105 »
U. Brandes
Data Science Lab
NumberTitleTypeECTSHoursLecturers
263-3300-00LData Science Lab Information Restricted registration - show details
Only for Data Science MSc.
O14 credits9P
263-3300-00 PData Science Lab9 hrs
Thu13:15-15:00CAB G 59 »
A. Krause, C. Zhang
Seminar
NumberTitleTypeECTSHoursLecturers
252-5051-00LAdvanced Topics in Machine Learning Information Restricted registration - show details
Number of participants limited to 40.

The deadline for deregistering expires at the end of the fourth week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2S
252-5051-00 SAdvanced Topics in Machine Learning Special students and auditors need a special permission from the lecturers.2 hrs
Tue16:15-18:00CAB G 56 »
Thu16:15-18:00CAB G 57 »
J. M. Buhmann, A. Krause, G. Rätsch
263-3504-00LHardware Acceleration for Data Processing Information
The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2S
263-3504-00 SHardware Acceleration for Data Processing2 hrs
Tue13:15-15:00ML J 34.1 »
G. Alonso, C. Zhang
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.
The dates of the course will be published on: https://riskcenter.ethz.ch/education/lectures/risk-case-study-challenge-.html
2 hrsB. J. Bergmann, A. Bommier, S. Feuerriegel, J. Teichmann
401-3620-69LStudent Seminar in Statistics: The Art of Statistics Restricted registration - show details
Number of participants limited to 24

Mainly for students from the Mathematics Bachelor and Master Programmes who, in addition to the introductory course unit 401-2604-00L Probability and Statistics, have heard at least one core or elective course in statistics. Also offered in the Master Programmes Statistics resp. Data Science.
W4 credits2S
401-3620-00 SStudent Seminar in Statistics: The Art of Statistics2 hrs
Mon15:15-17:00HG D 7.2 »
M. H. Maathuis
401-5680-00LFoundations of Data Science Seminar Information E-0 credits
401-5680-00 KFoundations of Data Science Seminar
https://www.math.ethz.ch/sfs/news-and-events/data-science-seminar.html
4s hrsP. L. Bühlmann, A. Bandeira, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, G. Rätsch, C. Uhler, S. van de Geer
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