Search result: Courses in Autumn Semester 2019

Data Science Master Information
Core Courses
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
Wed13:15-15:00HG E 7 »
R. D'Andrea
151-0563-01 UDynamic Programming and Optimal Control
The exercise will start in the 2nd week of Semester.
1 hrs
Wed15:15-16:00HG E 7 »
R. D'Andrea
227-0101-00LDiscrete-Time and Statistical Signal ProcessingW6 credits4G
227-0101-00 GDiscrete-Time and Statistical Signal Processing4 hrs
Tue13:15-17:00ETF C 1 »
H.‑A. Loeliger
227-0417-00LInformation Theory IW6 credits4G
227-0417-00 GInformation Theory I4 hrs
Wed13:15-17:00ETF E 1 »
A. Lapidoth
227-0427-00LSignal Analysis, Models, and Machine LearningW6 credits4G
227-0427-00 GSignal Analysis, Models, and Machine Learning4 hrs
Fri08:15-12:00CHN C 14 »
H.‑A. Loeliger
227-0689-00LSystem IdentificationW4 credits2V + 1U
227-0689-00 VSystem Identification2 hrs
Wed10:15-12:00HG E 1.2 »
R. Smith
227-0689-00 USystem Identification1 hrs
Wed12:15-13:00ETZ D 61.1 »
12:15-13:00HG E 1.2 »
R. Smith
252-0417-00LRandomized Algorithms and Probabilistic MethodsW8 credits3V + 2U + 2A
252-0417-00 VRandomized Algorithms and Probabilistic Methods3 hrs
Tue13:15-14:00CAB G 51 »
Thu08:15-10:00CAB G 51 »
17.09.13:15-14:00HG E 3 »
19.09.08:15-10:00HG E 3 »
A. Steger
252-0417-00 URandomized Algorithms and Probabilistic Methods2 hrs
Tue14:15-16:00CAB H 52 »
16:15-18:00CAB G 51 »
01.10.14:15-16:00HG E 41 »
A. Steger
252-0417-00 ARandomized Algorithms and Probabilistic Methods
Project Work, no fixed presence required.
2 hrsA. Steger
252-1407-00LAlgorithmic Game Theory Information W7 credits3V + 2U + 1A
252-1407-00 VAlgorithmic Game Theory3 hrs
Fri13:15-16:00CAB G 51 »
P. Penna
252-1407-00 UAlgorithmic Game Theory2 hrs
Tue10:15-12:00CAB G 56 »
10:15-12:00CAB G 57 »
17:15-19:00CAB G 59 »
P. Penna
252-1407-00 AAlgorithmic Game Theory
Project Work, no fixed presence required.
1 hrsP. Penna
252-1414-00LSystem Security Information W7 credits2V + 2U + 2A
252-1414-00 VSystem Security2 hrs
Mon10:15-12:00HG D 1.2 »
S. Capkun, A. Perrig
252-1414-00 USystem Security
The exercises begin in the second week of the semester.
2 hrs
Thu13:15-15:00HG D 3.2 »
15:15-17:00CAB G 11 »
S. Capkun, A. Perrig
252-1414-00 ASystem Security2 hrsS. Capkun, A. Perrig
261-5130-00LResearch in Data Science Restricted registration - show details
Only for Data Science MSc.
W6 credits13A
261-5130-00 AResearch in Data Science180s hrsProfessors
263-0006-00LAlgorithms Lab Restricted registration - show details
Only for master students, otherwise a special permission by the student administration of D-INFK is required.
W8 credits4P + 3A
263-0006-00 PAlgorithms Lab4 hrs
Mon17:15-19:00CAB H 56 »
17:15-19:00CAB H 57 »
17:15-19:00HG E 26.1 »
Tue15:15-17:00ML H 34.3 »
Wed17:15-19:00HG F 7 »
Thu15:15-17:00ML H 34.3 »
Fri15:15-17:00ML H 34.3 »
18.09.17:15-19:00ETF C 1 »
20.09.15:15-17:00CAB G 61 »
11.10.15:15-17:00CAB G 61 »
23.10.17:15-19:00HG E 7 »
A. Steger
263-0006-00 AAlgorithms Lab
Project Work, no fixed presence required.
3 hrsA. Steger
263-0007-00LAdvanced Systems Lab Information Restricted registration - show details
Limited number of participants.
Takes place the last time in this form.
Students who repeat the lab have priority. All others have to take the course in the spring semester 20!
W8 credits4P + 3A
263-0007-00 PAdvanced Systems Lab Special students and auditors need a special permission from the lecturers.4 hrs
Tue17:15-19:00CAB G 61 »
Thu17:15-19:00CAB G 52 »
17:15-19:00CAB G 56 »
17:15-19:00CHN D 42 »
17:15-19:00CHN D 44 »
17:15-19:00CHN D 46 »
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 W5 credits2V + 1U + 1A
263-2400-00 VReliable and Interpretable Artificial Intelligence2 hrs
Wed15:15-17:00HG G 3 »
M. Vechev
263-2400-00 UReliable and Interpretable Artificial Intelligence
No exercise session in the first semester week. Exercise session will start in the second week of the semester.
1 hrs
Mon13:15-14:00LFW C 4 »
Wed11:15-12:00CAB G 59 »
M. Vechev
263-2400-00 AReliable and Interpretable Artificial Intelligence1 hrsM. Vechev
263-2800-00LDesign of Parallel and High-Performance Computing Information Restricted registration - show details W8 credits3V + 2U + 2A
263-2800-00 VDesign of Parallel and High-Performance Computing3 hrs
Mon13:15-16:00CAB G 61 »
M. Püschel, T. Ben Nun
263-2800-00 UDesign of Parallel and High-Performance Computing2 hrs
Thu13:15-15:00CHN C 14 »
M. Püschel, T. Ben Nun
263-2800-00 ADesign of Parallel and High-Performance Computing
Project Work, no fixed presence required.
2 hrsM. Püschel, T. Ben Nun
263-3210-00LDeep Learning Information W5 credits2V + 1U + 1A
263-3210-00 VDeep Learning
Vorlesung im HG F7 mit Videoübertragung im HG F5.
2 hrs
Thu15:15-17:00HG F 5 »
15:15-17:00HG F 7 »
T. Hofmann
263-3210-00 UDeep Learning1 hrs
Mon15:15-16:00CAB G 11 »
Thu17:15-18:00CAB G 11 »
T. Hofmann
263-3210-00 ADeep Learning1 hrsT. Hofmann
263-5210-00LProbabilistic Artificial Intelligence Information Restricted registration - show details W5 credits2V + 1U + 1A
263-5210-00 VProbabilistic Artificial Intelligence
Vorlesung im HG E 7 mit Videoübertragung im HG E 3.
2 hrs
Fri10:15-12:00HG E 3 »
10:15-12:00HG E 7 »
A. Krause
263-5210-00 UProbabilistic Artificial Intelligence1 hrs
Fri13:15-14:00CHN C 14 »
14:15-15:00CHN C 14 »
15:15-16:00CHN C 14 »
A. Krause
263-5210-00 AProbabilistic Artificial Intelligence1 hrsA. Krause
263-5902-00LComputer Vision Information W7 credits3V + 1U + 2A
263-5902-00 VComputer Vision3 hrs
Wed13:15-16:00ETF C 1 »
M. Pollefeys, V. Ferrari, L. Van Gool
263-5902-00 UComputer Vision1 hrs
Thu15:15-16:00CHN C 14 »
Fri16:15-17:00CHN E 42 »
M. Pollefeys, V. Ferrari, L. Van Gool
263-5902-00 AComputer Vision2 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
Mon13:15-15:00HG G 5 »
L. Meier
401-0625-01 UApplied Analysis of Variance and Experimental Design1 hrs
Mon/2w15:15-17:00HG E 1.1 »
L. Meier
401-3055-64LAlgebraic Methods in Combinatorics Information W6 credits2V + 1U
401-3055-64 VAlgebraic Methods in Combinatorics2 hrs
Wed10:15-12:00HG E 1.1 »
B. Sudakov
401-3055-64 UAlgebraic Methods in Combinatorics
Groups are selected in myStudies.
1 hrs
Mon15:15-16:00HG D 1.1 »
15:15-16:00LFW C 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
Tue10:15-12:00HG D 1.2 »
Thu10:15-12:00HG D 1.2 »
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
Tue13:15-14:00HG F 26.5 »
13:15-14:00ML H 41.1 »
14:15-15:00HG F 26.5 »
14:15-15:00ML H 41.1 »
A.‑S. Sznitman
401-3622-00LStatistical Modelling Information W8 credits4G
401-3622-00 GStatistical Modelling
Former course title until FS 19: Regression
4 hrs
Wed08:15-10:00HG G 5 »
Thu13:15-15:00HG D 1.2 »
C. Heinze-Deml
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