Search result: Courses in Spring Semester 2020

DAS in Data Science Information
Core Courses
Foundations Courses
NumberTitleTypeECTSHoursLecturers
252-0220-00LIntroduction to Machine Learning Information Restricted registration - show details
Limited number of participants. Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact studiensekretariat@inf.ethz.ch
W8 credits4V + 2U + 1A
252-0220-00 VIntroduction to Machine Learning
FS20 CORONA: Keine Aufzeichnung / 17.03.20 rb
4 hrs
Tue13:00-15:00ER SA TZ »
13:15-15:00ETA F 5 »
13:15-15:00ETF E 1 »
Wed13:00-15:00ER SA TZ »
13:15-15:00ETA F 5 »
13:15-15:00ETF E 1 »
A. Krause
252-0220-00 UIntroduction to Machine Learning2 hrs
Wed15:00-17:00ER SA TZ »
15:15-17:00CAB G 61 »
17:00-19:00ER SA TZ »
17:15-19:00CAB G 61 »
Fri13:00-15:00ER SA TZ »
13:15-15:00ML D 28 »
A. Krause
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 hrsA. Krause
401-3632-00LComputational StatisticsW8 credits3V + 1U
401-3632-00 VComputational Statistics3 hrs
Thu13:00-15:00ER SA TZ »
13:15-15:00HG F 1 »
Fri09:00-10:00ER SA TZ »
09:15-10:00NO 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
Fri10:00-11:00ER SA TZ »
10:15-11:00HG G 5 »
M. H. Maathuis
Capstone Project
NumberTitleTypeECTSHoursLecturers
266-0100-00LCapstone Project Restricted registration - show details
Only for DAS in Data Science.
O8 credits17A
266-0100-00 ACapstone Project240s hrsF. Perez Cruz, O. Verscheure, T. Hofmann
Specialisation Track
Hardware for Machine Learning
NumberTitleTypeECTSHoursLecturers
227-0150-00LSystems-on-chip for Data Analytics and Machine Learning
Previously "Energy-Efficient Parallel Computing Systems for Data Analytics"
W6 credits4G
227-0150-00 GSystems-on-chip for Data Analytics and Machine Learning4 hrs
Tue08:15-12:00ETZ E 9 »
L. Benini
227-0155-00LMachine Learning on Microcontrollers Restricted registration - show details
Registration in this class requires the permission of the instructors. Class size will be limited to 30.
Preference is given to students in the MSc EEIT.
W6 credits3G + 2A
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.
3 hrs
Mon13:15-16:00ETZ K 63 »
M. Magno, L. Benini
227-0155-00 AMachine Learning on Microcontrollers Special students and auditors need a special permission from the lecturers.
Permission from lecturers required for all students.
2 hrsM. Magno, L. Benini
Image Analysis & Computer Vision
NumberTitleTypeECTSHoursLecturers
227-0391-00LMedical Image Analysis
Basic knowledge of computer vision would be helpful.
W3 credits2G
227-0391-00 GMedical Image Analysis2 hrs
Tue13:15-15:00CAB G 11 »
E. Konukoglu, M. A. Reyes Aguirre
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:
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
Thu17:15-19:00Y35 F 32 »
D. Kiper
227-1034-00 UComputational Vision (University of Zurich)
**Course at University of Zurich**
Exercise dates by arrangement.
1 hrsD. Kiper
252-0579-00L3D Vision Information W5 credits3G + 1A
252-0579-00 G3D Vision3 hrs
Mon09:15-12:00CAB G 51 »
M. Pollefeys, V. Larsson
252-0579-00 A3D Vision1 hrsM. Pollefeys, V. Larsson
263-3710-00LMachine Perception Information Restricted registration - show details
Number of participants limited to 200.
W5 credits2V + 1U + 1A
263-3710-00 VMachine Perception2 hrs
Thu10:00-12:00ER SA TZ »
10:15-12:00CAB G 11 »
O. Hilliges
263-3710-00 UMachine Perception1 hrs
Thu13:00-15:00ER SA TZ »
13:15-15:00CAB G 11 »
Fri13:00-15:00ER SA TZ »
13:15-15:00CAB G 11 »
O. Hilliges
263-3710-00 AMachine Perception1 hrsO. Hilliges
Neural Information Processing
NumberTitleTypeECTSHoursLecturers
227-0395-00LNeural SystemsW6 credits2V + 1U + 1A
227-0395-00 VNeural Systems2 hrs
Mon09:00-11:00ER SA TZ »
09:15-11:00ML D 28 »
17.02.09:15-11:00LFV E 41 »
R. Hahnloser, M. F. Yanik, B. Grewe
227-0395-00 UNeural Systems1 hrs
Mon11:00-12:00ER SA TZ »
11:15-12:00ETZ F 91 »
11:15-12:00ETZ K 91 »
11:15-12:00LFV E 41 »
11:15-12:00ML D 28 »
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
Tue09:15-12:00HG G 26.1 »
K. Stephan
227-0973-00 UTranslational Neuromodeling2 hrs
Fri14:15-16:00ETZ E 6 »
K. Stephan
227-0973-00 ATranslational Neuromodeling
No presence required.
Creative work on a self-chosen project outside the regular weekly exercises.
1 hrsK. Stephan
227-1032-00LNeuromorphic Engineering II
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**
More information at: Link

Vorlesung: 13-15
Übungen: 15-18
5 hrs
Tue13:00-14:45Y55 G 20 »
15:00-18:00Y35 E 30 »
S.‑C. Liu, T. Delbrück, G. Indiveri
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:
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
Thu17:15-19:00Y35 F 32 »
D. Kiper
227-1034-00 UComputational Vision (University of Zurich)
**Course at University of Zurich**
Exercise dates by arrangement.
1 hrsD. Kiper
Statistics
NumberTitleTypeECTSHoursLecturers
401-0102-00LApplied Multivariate StatisticsW5 credits2V + 1U
401-0102-00 VApplied Multivariate Statistics2 hrs
Mon15:00-17:00ER SA TZ »
15:15-17:00HG F 3 »
F. Sigrist
401-0102-00 UApplied Multivariate Statistics1 hrs
Mon/2w08:00-10:00ER SA TZ »
08:15-10:00HG D 1.1 »
F. Sigrist
401-4632-15LCausality Information W4 credits2G
401-4632-15 GCausality2 hrs
Wed10:00-12:00ER SA TZ »
10:15-12:00HG E 1.1 »
C. Heinze-Deml
401-6102-00LMultivariate StatisticsW4 credits2G
401-6102-00 GMultivariate Statistics
Does not take place this semester.
2 hrsnot available
401-6624-11LApplied Time SeriesW5 credits2V + 1U
401-6624-11 VApplied Time Series2 hrs
Mon10:00-12:00ER SA TZ »
10:15-12:00HG E 1.1 »
M. Dettling
401-6624-11 UApplied Time Series1 hrs
Mon/2w08:00-10:00ER SA TZ »
08:15-10:00HG D 1.1 »
M. Dettling
Machine Learning and Artificial Intelligence
NumberTitleTypeECTSHoursLecturers
252-0526-00LStatistical Learning Theory Information W7 credits3V + 2U + 1A
252-0526-00 VStatistical Learning Theory3 hrs
Mon14:00-16:00ER SA TZ »
14:15-16:00HG G 3 »
Tue17:00-18:00ER SA TZ »
17:15-18:00HG G 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 UStatistical Learning Theory2 hrs
Mon16:00-18:00ER SA TZ »
16:15-18:00HG G 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 AStatistical Learning Theory1 hrsJ. M. Buhmann, C. Cotrini Jimenez
252-3005-00LNatural Language Understanding Information
Takes place in HS20.
W5 credits2V + 1U + 1A
252-3005-00 VNatural Language Understanding
Does not take place this semester.
2 hrs
252-3005-00 UNatural Language Understanding
Does not take place this semester.
1 hrs
252-3005-00 ANatural Language Understanding
Does not take place this semester.
1 hrsto be announced
261-5110-00LOptimization for Data Science Information W8 credits3V + 2U + 2A
261-5110-00 VOptimization for Data Science3 hrs
Mon15:00-16:00ER SA TZ »
15:15-16:00ETF C 1 »
Tue10:00-12:00ER SA TZ »
10:15-12:00ETF C 1 »
B. Gärtner, D. Steurer
261-5110-00 UOptimization for Data Science2 hrs
Tue13:15-15:00HG D 3.2 »
13:15-15:00HG D 5.2 »
B. Gärtner, D. Steurer
261-5110-00 AOptimization for Data Science2 hrsB. Gärtner, D. Steurer
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