Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

Search result: Courses in Autumn Semester 2018

Data Science Master Information
Core Courses
Data Analysis
Information and Learning
NumberTitleTypeECTSHoursLecturers
252-0535-00LAdvanced Machine Learning Information W8 credits3V + 2U + 2A
252-0535-00 VAdvanced Machine Learning
Vorlesung:
Donnerstag im ML D 28 mit Videoübertragung im ML E 12
Freitag im HG F 1 mit Videoübertragung im HG F 3
3 hrs
Thu14-15ML D 28 »
14-15ML E 12 »
Fri08-10HG F 1 »
08-10HG F 3 »
J. M. Buhmann
252-0535-00 UAdvanced Machine Learning2 hrs
Wed13-15CAB G 61 »
15-17CAB G 61 »
Thu15-17CAB G 51 »
Fri13-15CAB G 61 »
J. M. Buhmann
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
2 hrsJ. M. Buhmann
Statistics
NumberTitleTypeECTSHoursLecturers
401-3621-00LFundamentals of Mathematical Statistics Information W10 credits4V + 1U
401-3621-00 VFundamentals of Mathematical Statistics4 hrs
Tue08-10HG E 1.1 »
Wed10-12HG E 1.1 »
S. van de Geer
401-3621-00 UFundamentals of Mathematical Statistics1 hrs
Tue12-13HG E 1.1 »
S. van de Geer
Data Management
NumberTitleTypeECTSHoursLecturers
263-3010-00LBig Data Information Restricted registration - show details W8 credits3V + 2U + 2A
263-3010-00 VBig Data3 hrs
Tue13-15CAB G 61 »
Wed09-10HG E 5 »
G. Fourny
263-3010-00 UBig Data2 hrs
Wed13-15CHN D 46 »
13-15CHN G 46 »
13-15HG F 26.3 »
13-15ML F 36 »
Fri13-15CAB G 52 »
13-15CAB G 56 »
G. Fourny
263-3010-00 ABig Data
Individual work to get hands-on experience with the technologies covered, no fixed presence required.
2 hrsG. Fourny
263-4500-10LAdvanced Algorithms (with Project) Information Restricted registration - show details
Only for Data Science MSc.
W8 credits2V + 2U + 2P + 1A
263-4500-00 VAdvanced Algorithms2 hrs
Tue10-12CAB G 61 »
M. Ghaffari, A. Krause
263-4500-00 UAdvanced Algorithms2 hrs
Fri10-12CAB G 59 »
M. Ghaffari, A. Krause
263-4500-10 PAdvanced Algorithms2 hrsA. Krause
263-4500-00 AAdvanced Algorithms1 hrsM. Ghaffari, A. Krause
Core Electives
NumberTitleTypeECTSHoursLecturers
151-0563-01LDynamic Programming and Optimal Control Information W4 credits2V + 1U
151-0563-01 VDynamic Programming and Optimal Control
The lecture will start in the 2nd week of Semester.
2 hrs
Wed13-15HG E 7 »
14.11.12-15ETF C 1 »
R. D'Andrea
151-0563-01 UDynamic Programming and Optimal Control
The exercise will start in the 2nd week of Semester.
1 hrs
Wed15-16HG E 7 »
R. D'Andrea
252-0417-00LRandomized Algorithms and Probabilistic MethodsW8 credits3V + 2U + 2A
252-0417-00 VRandomized Algorithms and Probabilistic Methods3 hrs
Tue13-14CAB G 51 »
Thu08-10CAB G 51 »
18.09.13-14HG E 1.1 »
A. Steger
252-0417-00 URandomized Algorithms and Probabilistic Methods2 hrs
Tue16-18CAB G 51 »
16-18ML H 41.1 »
A. Steger
252-0417-00 ARandomized Algorithms and Probabilistic Methods
Project Work, no fixed presence required.
2 hrsA. Steger
252-1414-00LSystem Security Information W5 credits2V + 2U
252-1414-00 VSystem Security2 hrs
Mon10-12HG D 1.2 »
S. Capkun, A. Perrig
252-1414-00 USystem Security2 hrs
Thu13-15HG D 3.2 »
S. Capkun, A. Perrig
261-5130-00LResearch in Data ScienceW6 credits13A
261-5130-00 AResearch in Data Science180s hrsProfessors
263-0006-00LAlgorithms Lab
Only for master students, otherwise a special permission by the student administration of D-INFK is required.
W8 credits4P + 3A
263-0006-00 PAlgorithms Lab
Office hours: Friday, 15-17, CAB G 11
4 hrs
Mon17-19CAB H 56 »
17-19CAB H 57 »
17-19HG E 26.1 »
Tue15-17ML H 34.3 »
Wed17-19CAB G 11 »
Thu15-17LFW B 2 »
15-17LFW B 3 »
Fri15-17CAB G 11 »
A. Steger, E. Welzl, P. Widmayer
263-0006-00 AAlgorithms Lab
Project Work, no fixed presence required.
3 hrsA. Steger, E. Welzl, P. Widmayer
263-0007-00LAdvanced Systems Lab Information
Only for master students, otherwise a special permission by the student administration of D-INFK is required.
W8 credits4P + 3A
263-0007-00 PAdvanced Systems Lab4 hrs
Tue17-19CAB G 61 »
Thu17-19CAB G 52 »
17-19CAB G 56 »
17-19CHN D 42 »
17-19CHN D 44 »
17-19CHN D 46 »
20.09.17-19CAB G 61 »
G. Alonso
263-0007-00 AAdvanced Systems Lab
Project Work, no fixed presence required.
3 hrsG. Alonso
263-2400-00LReliable and Interpretable Artificial Intelligence Information W4 credits2V + 1U
263-2400-00 VReliable and Interpretable Artificial Intelligence2 hrs
Mon10-12HG D 7.2 »
M. Vechev
263-2400-00 UReliable and Interpretable Artificial Intelligence1 hrs
Mon13-14LFW C 4 »
Wed11-12CAB G 59 »
M. Vechev
263-2800-00LDesign of Parallel and High-Performance Computing Information W7 credits3V + 2U + 1A
263-2800-00 VDesign of Parallel and High-Performance Computing3 hrs
Mon13-16CAB G 61 »
T. Hoefler, M. Püschel
263-2800-00 UDesign of Parallel and High-Performance Computing2 hrs
Thu13-15LEE D 101 »
T. Hoefler, M. Püschel
263-2800-00 ADesign of Parallel and High-Performance Computing
Project Work, no fixed presence required.
1 hrsT. Hoefler, M. Püschel
263-3210-00LDeep Learning Information Restricted registration - show details
Number of participants limited to 300.
W4 credits2V + 1U
263-3210-00 VDeep Learning2 hrs
Mon13-15ETF C 1 »
F. Perez Cruz
263-3210-00 UDeep Learning1 hrs
Mon15-16CAB G 51 »
16-17ML F 36 »
F. Perez Cruz
263-5210-00LProbabilistic Artificial Intelligence Information W4 credits2V + 1U
263-5210-00 VProbabilistic Artificial Intelligence
Vorlesung im HG E 7 mit Videoübertragung im HG E 3.
2 hrs
Fri10-12HG E 3 »
10-12HG E 7 »
A. Krause
263-5210-00 UProbabilistic Artificial Intelligence1 hrs
Fri13-14CHN C 14 »
14-15CHN C 14 »
A. Krause
263-5902-00LComputer Vision Information W6 credits3V + 1U + 1A
263-5902-00 VComputer Vision3 hrs
Wed13-16CHN C 14 »
M. Pollefeys, V. Ferrari, L. Van Gool
263-5902-00 UComputer Vision1 hrs
Thu15-16CHN C 14 »
M. Pollefeys, V. Ferrari, L. Van Gool
263-5902-00 AComputer Vision1 hrsM. Pollefeys, V. Ferrari, L. Van Gool
401-0625-01LApplied Analysis of Variance and Experimental Design Information W5 credits2V + 1U
401-0625-01 VApplied Analysis of Variance and Experimental Design2 hrs
Mon13-15HG G 5 »
L. Meier
401-0625-01 UApplied Analysis of Variance and Experimental Design1 hrs
Mon/2w15-17HG E 1.1 »
L. Meier
401-3054-14LProbabilistic Methods in Combinatorics Information W6 credits2V + 1U
401-3054-14 VProbabilistic Methods in Combinatorics2 hrs
Thu10-12HG D 7.2 »
B. Sudakov
401-3054-14 UProbabilistic Methods in Combinatorics1 hrs
Mon15-16HG E 5 »
B. Sudakov
401-3601-00LProbability Theory Information
At most one of the three course units (Bachelor Core Courses)
401-3461-00L Functional Analysis I
401-3531-00L Differential Geometry I
401-3601-00L Probability Theory
can be recognised for the Master's degree in Mathematics or Applied Mathematics.
W10 credits4V + 1U
401-3601-00 VProbability Theory4 hrs
Tue10-12HG G 3 »
Thu10-12HG G 3 »
A.‑S. Sznitman
401-3601-00 UProbability Theory
Tue 13-14 or Tue 14-15 starting in the second week of the semester.
1 hrs
Tue13-14HG F 26.5 »
13-14ML H 41.1 »
14-15HG F 26.5 »
14-15ML H 41.1 »
A.‑S. Sznitman
401-3612-00LStochastic SimulationW5 credits3G
401-3612-00 GStochastic Simulation3 hrs
Tue14-17ML F 36 »
F. Sigrist
401-3627-00LHigh-Dimensional StatisticsW4 credits2V
401-3627-00 VHigh-Dimensional Statistics
Does not take place this semester.
2 hrsP. L. Bühlmann
  •  Page  1  of  3 Next page Last page     All