Search result: Courses in Autumn Semester 2023

DAS in Data Science Information
Core Courses
Foundations Courses
NumberTitleTypeECTSHoursLecturers
227-0105-00LIntroduction to Estimation and Machine Learning Information Restricted registration - show details W6 credits4G
227-0105-00 GIntroduction to Estimation and Machine Learning Special students and auditors need a special permission from the lecturers.4 hrs
Fri14:15-18:00ETF C 1 »
H.‑A. Loeliger
Capstone Project
NumberTitleTypeECTSHoursLecturers
266-0100-00LCapstone Project Information Restricted registration - show details O8 credits17A
266-0100-00 ACapstone Project240s hrsSupervisors
Specialisation Track
Hardware for Machine Learning
NumberTitleTypeECTSHoursLecturers
227-0155-00LMachine Learning on Microcontrollers Restricted registration - show details
Registration in this class requires the permission of the instructors.
Preference is given to students in the MSc EEIT.
W6 credits4G
227-0155-00 GMachine Learning on Microcontrollers Special students and auditors need a special permission from the lecturers.
Permission from lecturers required for all students.
4 hrs
Wed08:15-12:00HG E 33.3 »
M. Magno, L. Benini
Image Analysis & Computer Vision
NumberTitleTypeECTSHoursLecturers
263-5902-00LComputer Vision Information W8 credits3V + 1U + 3A
263-5902-00 VComputer Vision3 hrs
Wed14:15-16:00NO C 60 »
Thu12:15-13:00HG G 5 »
M. Pollefeys, S. Tang, F. Yu
263-5902-00 UComputer Vision1 hrs
Thu13:15-14:00CAB G 61 »
Fri13:15-14:00CAB G 51 »
M. Pollefeys, S. Tang, F. Yu
263-5902-00 AComputer Vision3 hrsM. Pollefeys, S. Tang, F. Yu
Neural Information Processing
NumberTitleTypeECTSHoursLecturers
227-0421-00LLearning in Deep Artificial and Biological Neuronal NetworksW4 credits3G
227-0421-00 GLearning in Deep Artificial and Biological Neuronal Networks3 hrs
Wed09:15-12:00ML F 34 »
B. Grewe
227-1033-00LNeuromorphic Engineering I 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
Mon14:15-16:00LFO C 13 »
T. Delbrück, S.‑C. Liu, M. Payvand
227-1033-00 UNeuromorphic Engineering I
Permission from lecturers required for all students.
**together with University of Zurich**

Dates by arrangement.
3 hrsby appt.T. Delbrück, S.‑C. Liu, M. Payvand
Statistics
NumberTitleTypeECTSHoursLecturers
401-0625-01LApplied Analysis of Variance and Experimental DesignW5 credits2V + 1U
447-0625-01 VApplied Analysis of Variance and Experimental Design I
The course unit 447-0625-01L is offered 2-yearly (Autumn Semester in odd years).
The course unit 401-0625-01L is offered yearly (Autumn Semester).
In the Autumn Semester 2024, the course 401-0625-01 V will take place, but not 447-0625-01 V.
14s hrs
Mon/114:15-16:00HG G 5 »
L. Meier
447-0625-02 VApplied Analysis of Variance and Experimental Design II
The course unit 447-0625-02L is offered 2-yearly (Autumn Semester in odd years).
The course unit 401-0625-01L is offered yearly (Autumn Semester).
In the Autumn Semester 2024, the course 401-0625-01 V will take place, but not 447-0625-02 V.
12s hrs
Mon/214:15-16:00HG G 5 »
L. Meier
401-0625-01 UApplied Analysis of Variance and Experimental Design1 hrs
Mon/2w16:15-18:00HG E 1.1 »
L. Meier
401-0649-00LApplied Statistical RegressionW5 credits2V + 1U
401-0649-00 VApplied Statistical Regression2 hrs
Mon08:15-10:00HG E 1.2 »
06.02.14:15-16:00HG E 33.5 »
M. Dettling
401-0649-00 UApplied Statistical Regression
Mon 10-12 might not work for all different programmes where this course is offered. However, the relevant parts of the exercises will be live-streamed and recorded for later viewing.
1 hrs
Mon/2w10:15-12:00HG E 1.2 »
30.10.10:15-12:00HG E 1.2 »
M. Dettling
401-3612-00LStochastic SimulationW5 credits2V + 1U
401-3612-00 VStochastic Simulation
Does not take place this semester.
2 hrs
401-3612-00 UStochastic Simulation
Does not take place this semester.
1 hrs
401-3621-00LFundamentals of Mathematical Statistics Information W9 credits4V + 1U
401-3621-00 VFundamentals of Mathematical Statistics4 hrs
Tue08:15-10:00HG E 3 »
Wed10:15-12:00HG E 7 »
S. van de Geer
401-3621-00 UFundamentals of Mathematical Statistics1 hrs
Tue12:15-13:00HG E 7 »
S. van de Geer
401-3622-00LStatistical ModellingW7 credits4G
401-3622-00 GStatistical Modelling4 hrs
Mon10:15-12:00ML D 28 »
Thu14:15-16:00HG E 1.1 »
M. Kalisch
401-3628-14LBayesian StatisticsW4 credits2V
401-3628-14 VBayesian Statistics2 hrs
Tue14:15-16:00ETF C 1 »
F. Sigrist
401-4623-00LTime Series AnalysisW4 credits2G
401-4623-00 GTime Series Analysis
Does not take place this semester.
2 hrsN. Meinshausen
401-4632-15LCausality Information W4 credits2G
401-4632-15 GCausality2 hrs
Fri08:15-10:00HG G 3 »
J. Peters
Machine Learning and Artificial Intelligence
NumberTitleTypeECTSHoursLecturers
227-0689-00LSystem IdentificationW4 credits2V + 1U
227-0689-00 VSystem Identification2 hrs
Wed10:15-12:00HG D 1.1 »
R. Smith
227-0689-00 USystem Identification1 hrs
Wed12:15-13:00HG D 1.1 »
R. Smith
252-0535-00LAdvanced Machine Learning Information W10 credits3V + 2U + 4A
252-0535-00 VAdvanced Machine Learning
Freitag 8-10 HG F7 mit Videoübertragung ins HG F5.
3 hrs
Thu15:15-16:00ETA F 5 »
Fri08:15-10:00HG F 5 »
08:15-10:00HG F 7 »
J. M. Buhmann
252-0535-00 UAdvanced Machine Learning
Tutorials:
Please attend only the tutorial assigned to you by the first letter of your surname. We do not attend requests to change tutorials.

Wed 14-16 - CAB G 61 → surname A-L
Fri 14-16 - CHN C 14 → surname M-Z

All tutorial sessions are identical.
2 hrs
Wed14:15-16:00CAB G 61 »
Fri14:15-16:00CHN C 14 »
J. M. Buhmann
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
4 hrsJ. M. Buhmann
252-3005-00LNatural Language Processing Information Restricted registration - show details W7 credits3V + 3U + 1A
252-3005-00 VNatural Language Processing3 hrs
Mon12:15-14:00HG F 1 »
Tue13:15-14:00HG F 1 »
R. Cotterell
252-3005-00 UNatural Language Processing3 hrs
Wed16:15-19:00HG F 7 »
R. Cotterell
252-3005-00 ANatural Language Processing1 hrsR. Cotterell
263-2400-00LReliable and Trustworthy Artificial Intelligence Information W6 credits2V + 2U + 1A
263-2400-00 VReliable and Trustworthy Artificial Intelligence2 hrs
Wed14:15-16:00HG G 3 »
M. Vechev
263-2400-00 UReliable and Trustworthy 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 »
30.10.12:15-14:00HG G 3 »
M. Vechev
263-2400-00 AReliable and Trustworthy Artificial Intelligence1 hrsM. Vechev
263-3210-00LDeep Learning Information Restricted registration - show details W8 credits3V + 2U + 2A
263-3210-00 VDeep Learning3 hrs
Wed13:15-14:00ML D 28 »
Thu14:15-16:00ML D 28 »
T. Hofmann, N. Perraudin
263-3210-00 UDeep Learning2 hrs
Mon16:15-18:00HG G 5 »
Wed16:15-18:00HG G 5 »
T. Hofmann, N. Perraudin
263-3210-00 ADeep Learning2 hrsT. Hofmann, N. Perraudin
263-5210-00LProbabilistic Artificial Intelligence Information Restricted registration - show details W8 credits3V + 2U + 2A
263-5210-00 VProbabilistic Artificial Intelligence
Fr 10-12 und 13-14 im ETA F5 mit Videoübertragung ins ETF E1
3 hrs
Fri10:15-12:00ETA F 5 »
10:15-12:00ETF E 1 »
13:15-14:00ETA F 5 »
13:15-14:00ETF E 1 »
A. Krause
263-5210-00 UProbabilistic Artificial Intelligence
Q&A session via zoom
2 hrs
Thu16:15-18:00CHN C 14 »
16:15-18:00HG F 7 »
A. Krause
263-5210-00 AProbabilistic Artificial Intelligence2 hrsA. Krause
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