Search result: Courses in Autumn Semester 2020

Computational Science and Engineering Master Information
Electives
In the ‘electives’ subcategory, at least two course units must be successfully completed.
NumberTitleTypeECTSHoursLecturers
401-3621-00LFundamentals of Mathematical Statistics Information W10 credits4V + 1U
401-3621-00 VFundamentals of Mathematical Statistics
The lecturers will communicate the exact lesson times of ONLINE courses.
URL for live streaming: https://video.ethz.ch/live/lectures/zentrum/hg/hg-d-5-2.html
4 hrs
Tue08:00-10:00ON LI NE »
Wed10:00-12:00ON LI NE »
S. van de Geer
401-3621-00 UFundamentals of Mathematical Statistics
The lecturers will communicate the exact lesson times of ONLINE courses.
1 hrs
Tue12:00-13:00ON LI NE »
S. van de Geer
401-4619-67LAdvanced Topics in Computational StatisticsW4 credits2V
401-4619-00 VAdvanced Topics in Computational Statistics
Does not take place this semester.
2 hrsnot available
401-3627-00LHigh-Dimensional StatisticsW4 credits2V
401-3627-00 VHigh-Dimensional Statistics
Does not take place this semester.
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrsP. L. Bühlmann
401-4623-00LTime Series AnalysisW6 credits3G
401-4623-00 GTime Series Analysis3 hrs
Wed09:00-10:00ON LI NE »
Thu10:00-12:00ON LI NE »
F. Balabdaoui
401-3901-00LMathematical OptimizationW11 credits4V + 2U
401-3901-00 VMathematical Optimization
The lecturers will communicate the exact lesson times of ONLINE courses.
4 hrs
Mon14:00-16:00ON LI NE »
Thu10:00-12:00ON LI NE »
R. Zenklusen
401-3901-00 UMathematical Optimization
Groups are selected in myStudies.
Thu 14-16 or Fri 10-12 or Fr 12-14 or Fri 14-16 (depending on demand)

The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Thu14:00-16:00ON LI NE »
Fri10:15-12:00CAB G 51 »
12:15-14:00HG E 1.2 »
14:15-16:00HG G 26.1 »
R. Zenklusen
227-0423-00LNeural Network Theory Information W4 credits2V + 1U
227-0423-00 VNeural Network Theory
«Hybrid».
Up to 150 students can attend the course on-site. Further information will be announced to enrolled students by e-mail in the week before the semester starts.

The first lecture is on 21.9.
2 hrs
Mon10:15-12:00ETF C 1 »
H. Bölcskei
227-0423-00 UNeural Network Theory
«Hybrid».
Up to 150 students can attend the course on-site. Further information will be announced to enrolled students by e-mail in the week before the semester starts.

The first lecture is on 21.9.
1 hrs
Mon12:15-13:00ETF C 1 »
H. Bölcskei
227-1033-00LNeuromorphic Engineering I Information Restricted registration - show details
Registration in this class requires the permission of the instructors. Class size will be limited to available lab spots.
Preference is given to students that require this class as part of their major.

Information for UZH students:
Enrolment to this course unit only possible at ETH. No enrolment to module INI404 at UZH.
Please mind the ETH enrolment deadlines for UZH students: Link
W6 credits2V + 3U
227-1033-00 VNeuromorphic Engineering I
Permission from lecturers required for all students.
**together with University of Zurich**
2 hrs
Mon14:00-16:00ON LI NE »
T. Delbrück, G. Indiveri, S.‑C. Liu
227-1033-00 UNeuromorphic Engineering I
Permission from lecturers required for all students.
**together with University of Zurich**

Dates by arrangement.
Room to be announced.
3 hrsby appt.T. Delbrück, G. Indiveri, S.‑C. Liu
327-1201-00LTransport Phenomena IW5 credits4G
327-1201-00 GTransport Phenomena I
14:00-15:00 Vorlesung
15:15-16:15 Übungen in zwei Gruppen
16:30-17:30 Vorlesung
4 hrs
Mon14:00-18:00ON LI NE »
J. Vermant
252-3005-00LNatural Language Processing Information Restricted registration - show details
Number of participants limited to 200.
W5 credits2V + 1U + 1A
252-3005-00 VNatural Language Processing
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Mon12:00-14:00ON LI NE »
R. Cotterell
252-3005-00 UNatural Language Processing
The lecturers will communicate the exact lesson times of ONLINE courses.
1 hrs
Wed13:00-14:00ON LI NE »
R. Cotterell
252-3005-00 ANatural Language Processing1 hrsR. Cotterell
263-2400-00LReliable and Interpretable Artificial Intelligence Information W6 credits2V + 2U + 1A
263-2400-00 VReliable and Interpretable Artificial Intelligence
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Wed14:00-16:00ON LI NE »
M. Vechev
263-2400-00 UReliable and Interpretable Artificial Intelligence
Exercise session will start in the second week of the semester.
2 hrs
Mon12:15-14:00CAB G 56 »
Wed12:15-14:00CAB G 51 »
M. Vechev
263-2400-00 AReliable and Interpretable Artificial Intelligence1 hrsM. Vechev
363-0511-00LManagerial Economics
Not for MSc students belonging to D-MTEC!
W4 credits3V
363-0511-00 VManagerial Economics
The lecture takes place ONLINE via Zoom (recorded).
The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Tue18:00-19:00ON LI NE »
Wed08:00-10:00ON LI NE »
P. Egger, M. Köthenbürger, N. Loumeau
» see also Fields of Specialization
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