Search result: Courses in Spring Semester 2019

DAS in Data Science Information
Core Courses
Foundations Courses
NumberTitleTypeECTSHoursLecturers
252-0220-00LIntroduction to Machine Learning Information Restricted registration - show details
Previously called Learning and Intelligent Systems.
W8 credits4V + 2U + 1A
252-0220-00 VIntroduction to Machine Learning
Die Vorlesung findet jeweils (Di 13-15 und Mi 13-15) im HG E 7 mit Videoübertragung im HG E 5 und HG E 3 statt.
4 hrs
Tue13:15-15:00HG E 3 »
13:15-15:00HG E 5 »
13:15-15:00HG E 7 »
Wed13:15-15:00HG E 3 »
13:15-15:00HG E 5 »
13:15-15:00HG E 7 »
A. Krause
252-0220-00 UIntroduction to Machine Learning2 hrs
Mon15:15-17:00HG D 1.2 »
Tue15:15-17:00HG D 1.2 »
Wed15:15-17:00CAB G 11 »
Fri13:15-15:00ML 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 Statistics
On 18 April 2019 the course takes place in HG E 3.
3 hrs
Thu13:15-15:00HG F 3 »
Fri09:15-10:00HG G 3 »
18.04.13:15-15:00HG E 3 »
M. H. Maathuis
401-3632-00 UComputational Statistics
A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG F 3.
1 hrs
Fri10:15-11:00HG F 3 »
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
Specialisation Track
Hardware for Machine Learning
NumberTitleTypeECTSHoursLecturers
227-0150-00LSystems-on-chip for Data Analytics and Machine Learning Information
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 25.
Preference is given to students in the MSc EEIT.
W3 credits2G
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.
2 hrs
Wed15:15-17:00ETZ K 63 »
M. 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 »
19.02.13:15-15:00CHN D 48 »
E. Konukoglu, M. A. Reyes Aguirre, C. Tanner
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:
Link
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 hrsby appt.D. Kiper
252-0579-00L3D Vision Information W4 credits3G
252-0579-00 G3D Vision3 hrs
Mon09:15-12:00CAB G 51 »
M. Pollefeys, V. Larsson
263-3710-00LMachine Perception Information Restricted registration - show details
Number of participants limited to 150.
W5 credits2V + 1U + 1A
263-3710-00 VMachine Perception2 hrs
Thu10:15-12:00CAB G 61 »
O. Hilliges
263-3710-00 UMachine Perception1 hrs
Thu13:15-15:00NO C 6 »
Fri13:15-15:00NO C 6 »
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
Mon09:15-11:00LFV E 41 »
R. Hahnloser, M. F. Yanik, B. Grewe
227-0395-00 UNeural Systems1 hrs
Mon11:15-12:00LFV E 41 »
15.04.11:15-13:00HG E 26.1 »
11:15-13:00HG E 26.3 »
29.04.11:15-13:00HG E 19 »
11:15-13:00HG 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
Tue09:15-12:00HG F 26.3 »
K. Stephan
227-0973-00 UTranslational Neuromodeling2 hrs
Fri14:15-16:00ETZ E 6 »
31.05.13:15-20:00ETZ 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
Tue13:00-14:45Y55 G 20 »
15:00-18:00Y35 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:
Link
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 hrsby appt.D. Kiper
Statistics
NumberTitleTypeECTSHoursLecturers
401-0102-00LApplied Multivariate StatisticsW5 credits2V + 1U
401-0102-00 VApplied Multivariate Statistics2 hrs
Mon15:15-17:00HG F 3 »
F. Sigrist
401-0102-00 UApplied Multivariate Statistics
The exercise class originally scheduled on Monday, 15 April will take place on Friday, 12 April, 11-13 in HG D 7.1.
1 hrs
Mon/2w08:15-10:00HG D 1.1 »
12.04.11:15-13:00HG D 7.1 »
F. Sigrist
401-3622-00LRegressionW8 credits4G
401-3622-00 GRegression
Does not take place this semester.
planned to be offered in the Autumn Semester 2019 as a yearly recurring course with new course title: Statistical Modelling
4 hrsnot available
401-4632-15LCausality Information W4 credits2G
401-4632-15 GCausality2 hrs
Wed10:15-12:00HG E 3 »
C. Heinze-Deml
401-6102-00LMultivariate StatisticsW4 credits2G
401-6102-00 GMultivariate Statistics2 hrs
Mon13:15-15:00HG D 1.1 »
18.02.13:15-15:00HG D 1.2 »
25.02.13:15-15:00HG D 1.2 »
N. Meinshausen
401-6624-11LApplied Time SeriesW5 credits2V + 1U
401-6624-11 VApplied Time Series2 hrs
Mon10:15-12:00HG E 1.2 »
M. Dettling
401-6624-11 UApplied Time Series1 hrs
Mon/2w08:15-10:00HG 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
Mon14:15-16:00HG E 5 »
Tue09:15-10:00HG E 5 »
J. M. Buhmann
252-0526-00 UStatistical Learning Theory2 hrs
Mon16:15-18:00HG E 5 »
J. M. Buhmann
252-0526-00 AStatistical Learning Theory1 hrsJ. M. Buhmann
252-3005-00LNatural Language Understanding Information Restricted registration - show details
Number of participants limited to 200.
W4 credits2V + 1U
252-3005-00 VNatural Language Understanding2 hrs
Mon10:15-12:00CAB G 11 »
M. Ciaramita, T. Hofmann
252-3005-00 UNatural Language Understanding1 hrs
Mon13:15-14:00HG E 5 »
M. Ciaramita, T. Hofmann
  •  Page  1  of  2 Next page Last page     All