Search result: Courses in Spring Semester 2022

Data Science Master Information
Core Courses
Data Analysis
Information and Learning
NumberTitleTypeECTSHoursLecturers
227-0434-10LMathematics of Information Information W8 credits3V + 2U + 2A
227-0434-10 VMathematics of Information
Hybride Veranstaltung, die Veranstaltung kann in Präsenz oder online verfolgt werden.
3 hrs
Thu09:15-12:00ML F 36 »
H. Bölcskei
227-0434-10 UMathematics of Information
Hybride Veranstaltung, die Veranstaltung kann in Präsenz oder online verfolgt werden.
2 hrs
Mon14:15-16:00ML E 12 »
H. Bölcskei
227-0434-10 AMathematics of Information2 hrsH. Bölcskei
Statistics
NumberTitleTypeECTSHoursLecturers
401-3632-00LComputational StatisticsW8 credits3V + 1U
401-3632-00 VComputational Statistics3 hrs
Thu14:15-16:00HG F 1 »
Fri09:15-10:00HG F 1 »
N. Meinshausen
401-3632-00 UComputational Statistics
A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG G 5.
1 hrs
Fri10:15-11:00HG G 5 »
N. Meinshausen
Data Management
NumberTitleTypeECTSHoursLecturers
261-5110-00LOptimization for Data Science Information W10 credits3V + 2U + 4A
261-5110-00 VOptimization for Data Science3 hrs
Mon13:15-14:00NO C 60 »
Tue10:15-12:00ETF C 1 »
B. Gärtner, N. He
261-5110-00 UOptimization for Data Science2 hrs
Tue14:15-16:00HG D 5.2 »
14:15-16:00ML H 44 »
Fri14:15-16:00LFW B 1 »
B. Gärtner, N. He
261-5110-00 AOptimization for Data Science4 hrsB. Gärtner, N. He
Core Electives
NumberTitleTypeECTSHoursLecturers
151-0566-00LRecursive Estimation Information W4 credits2V + 1U
151-0566-00 VRecursive Estimation2 hrs
Wed14:15-16:00HG F 1 »
R. D'Andrea
151-0566-00 URecursive Estimation1 hrs
Wed16:15-17:00HG F 1 »
R. D'Andrea
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
Tue08:15-12:00ML F 38 »
L. Benini
227-0155-00LMachine Learning on Microcontrollers Restricted registration - show details
Number of participants limited to 45.
Registration in this class requires the permission of the instructors.
W6 credits3G
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 E 9 »
M. Magno, L. Benini
227-0420-00LInformation Theory II Information W6 credits4G
227-0420-00 GInformation Theory II
Does not take place this semester.
4 hrsA. Lapidoth
227-0424-00LModel- and Learning-Based Inverse Problems in ImagingW4 credits2V + 1P
227-0424-00 VModel- and Learning-Based Inverse Problems in Imaging2 hrs
Mon14:15-16:00ETZ E 8 »
V. Vishnevskiy
227-0424-00 PModel- and Learning-Based Inverse Problems in Imaging1 hrs
Tue14:15-15:00ETZ D 61.1 »
V. Vishnevskiy
227-0427-10LAdvanced Signal Analysis, Modeling, and Machine Learning Information W6 credits4G
227-0427-10 GAdvanced Signal Analysis, Modeling, and Machine Learning4 hrs
Fri14:15-18:00ML F 39 »
H.‑A. Loeliger
227-0432-00LLearning, Classification and Compression Information W4 credits2V + 1U
227-0432-00 VLearning, Classification and Compression2 hrs
Wed09:15-11:00HG D 3.2 »
E. Riegler
227-0432-00 ULearning, Classification and Compression1 hrs
Wed11:15-12:00HG D 3.2 »
E. Riegler
227-0558-00LPrinciples of Distributed Computing Information W7 credits2V + 2U + 2A
227-0558-00 VPrinciples of Distributed Computing2 hrs
Wed08:15-10:00CAB G 11 »
R. Wattenhofer, M. Dory, G. Zuzic
227-0558-00 UPrinciples of Distributed Computing
In Gruppen
2 hrs
Wed14:15-16:00ETZ E 6 »
16:15-18:00ETZ E 6 »
R. Wattenhofer, M. Dory, G. Zuzic
227-0558-00 APrinciples of Distributed Computing
No presence required.
Creative task outside the regular weekly exercises.
2 hrsR. Wattenhofer, M. Dory, G. Zuzic
227-0560-00LDeep Learning for Autonomous Driving Information Restricted registration - show details
Number of participants limited to 80.
W6 credits3V + 2P
227-0560-00 VDeep Learning for Autonomous Driving Special students and auditors need a special permission from the lecturers.3 hrs
Fri13:15-16:00HG E 1.1 »
D. Dai, A. Liniger
227-0560-00 PDeep Learning for Autonomous Driving Special students and auditors need a special permission from the lecturers.
This practical exercise takes place online.
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Fri10:00-12:00ON LI NE »
D. Dai, A. Liniger
252-0211-00LInformation Security Information W8 credits4V + 3U
252-0211-00 VInformation Security4 hrs
Thu14:15-16:00HG E 7 »
Fri14:15-16:00HG E 7 »
D. Hofheinz, S. Krstic, K. Paterson, J. L. Toro Pozo
252-0211-00 UInformation Security3 hrs
Wed16:15-19:00HG D 7.2 »
Thu16:15-19:00CAB G 61 »
D. Hofheinz, S. Krstic, K. Paterson, J. L. Toro Pozo
252-0526-00LStatistical Learning Theory Information W8 credits3V + 2U + 2A
252-0526-00 VStatistical Learning Theory
Does not take place this semester.
3 hrsJ. M. Buhmann
252-0526-00 UStatistical Learning Theory
Does not take place this semester.
2 hrsJ. M. Buhmann
252-0526-00 AStatistical Learning Theory
Does not take place this semester.
2 hrsJ. M. Buhmann
252-0538-00LShape Modeling and Geometry Processing Information W8 credits2V + 1U + 4A
252-0538-00 VShape Modeling and Geometry Processing2 hrs
Wed10:15-12:00CAB G 61 »
O. Sorkine Hornung
252-0538-00 UShape Modeling and Geometry Processing1 hrs
Fri11:15-12:00CAB G 61 »
O. Sorkine Hornung
252-0538-00 AShape Modeling and Geometry Processing4 hrsO. Sorkine Hornung
252-0579-00L3D Vision Information W5 credits3G + 1A
252-0579-00 G3D Vision3 hrs
Mon09:15-12:00HG D 7.2 »
M. Pollefeys, D. B. Baráth
252-0579-00 A3D Vision1 hrsM. Pollefeys, D. B. Baráth
261-5130-00LResearch in Data Science Information Restricted registration - show details
Only for Data Science MSc.
W6 credits13A
261-5130-00 AResearch in Data Science180s hrsProfessors
263-0007-00LAdvanced Systems Lab Information Restricted registration - show details
Only for master students, otherwise a special permission by the study administration of D-INFK is required.
W8 credits3V + 2U + 2A
263-0007-00 VAdvanced Systems Lab Special students and auditors need a special permission from the lecturers.3 hrs
Mon10:15-12:00HG F 3 »
Thu09:15-10:00HG F 3 »
M. Püschel, C. Zhang
263-0007-00 UAdvanced Systems Lab2 hrs
Wed14:15-16:00ETF C 1 »
M. Püschel, C. Zhang
263-0007-00 AAdvanced Systems Lab
Project Work, no fixed presence required.
2 hrsM. Püschel, C. Zhang
263-0008-00LComputational Intelligence Lab
Only for master students, otherwise a special permission by the study administration of D-INFK is required.
W8 credits2V + 2U + 3A
263-0008-00 VComputational Intelligence Lab2 hrs
Fri10:15-12:00ML D 28 »
G. Rätsch
263-0008-00 UComputational Intelligence Lab
Exercise: Fri 16-18
Q&A: Thu 14-15
2 hrs
Thu14:00-15:00ON LI NE »
Fri16:00-18:00ON LI NE »
G. Rätsch
263-0008-00 AComputational Intelligence Lab
No presence required.
3 hrsG. Rätsch
263-2925-00LProgram Analysis for System Security and Reliability Information W7 credits2V + 1U + 3A
263-2925-00 VProgram Analysis for System Security and Reliability2 hrs
Thu16:15-18:00LFO C 13 »
M. Vechev
263-2925-00 UProgram Analysis for System Security and Reliability1 hrs
Thu13:15-14:00CAB G 51 »
M. Vechev
263-2925-00 AProgram Analysis for System Security and Reliability3 hrsM. Vechev
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