Search result: Courses in Spring Semester 2021

Data Science Master Information
Core Courses
Core Electives
NumberTitleTypeECTSHoursLecturers
263-0008-00LComputational Intelligence Lab Information
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 Lab
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Fri10-12ON LI NE »
T. Hofmann
263-0008-00 UComputational Intelligence Lab
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Thu14-16ON LI NE »
Fri16-18ON LI NE »
T. Hofmann
263-0008-00 AComputational Intelligence Lab
No presence required.
3 hrsT. Hofmann
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
Tue16-18CAB G 51 »
M. Vechev
263-2925-00 UProgram Analysis for System Security and Reliability1 hrs
Thu13-14CAB G 51 »
M. Vechev
263-2925-00 AProgram Analysis for System Security and Reliability3 hrsM. Vechev
263-3710-00LMachine Perception Information Restricted registration - show details
Number of participants limited to 200.
W8 credits3V + 2U + 2A
263-3710-00 VMachine Perception3 hrs
Wed13-14HG F 1 »
Thu12-14HG E 5 »
O. Hilliges, S. Tang
263-3710-00 UMachine Perception2 hrs
Thu14-16CAB G 11 »
Fri14-16CAB G 11 »
O. Hilliges, S. Tang
263-3710-00 AMachine Perception2 hrsO. Hilliges, S. Tang
263-3855-00LCloud Computing Architecture Information W9 credits3V + 2U + 3A
263-3855-00 VCloud Computing Architecture3 hrs
Tue11-12CAB G 61 »
Wed12-14CAB G 61 »
G. Alonso, A. Klimovic
263-3855-00 UCloud Computing Architecture2 hrs
Wed16-18CAB G 11 »
G. Alonso, A. Klimovic
263-3855-00 ACloud Computing Architecture3 hrsG. Alonso, A. Klimovic
263-4400-00LAdvanced Graph Algorithms and Optimization Information W8 credits3V + 1U + 3A
263-4400-00 VAdvanced Graph Algorithms and Optimization3 hrs
Mon10-11ML F 38 »
Tue16-18ML F 38 »
R. Kyng, M. Probst
263-4400-00 UAdvanced Graph Algorithms and Optimization1 hrs
Thu15-16ML F 38 »
R. Kyng, M. Probst
263-4400-00 AAdvanced Graph Algorithms and Optimization3 hrsR. Kyng, M. Probst
263-5000-00LComputational Semantics for Natural Language Processing Information Restricted registration - show details
Limited number of participants: 80. Last cancellation/deregistration date for this graded semester performance: Friday, 26 March 2021! Please note that after that date no deregistration will be accepted and the course will be considered as "fail".
W6 credits2V + 1U + 2A
263-5000-00 VComputational Semantics for Natural Language Processing2 hrs
Thu10-12CAB G 51 »
M. Sachan
263-5000-00 UComputational Semantics for Natural Language Processing1 hrs
Thu15-16CAB G 59 »
M. Sachan
263-5000-00 AComputational Semantics for Natural Language Processing2 hrsM. Sachan
263-5300-00LGuarantees for Machine Learning Information Restricted registration - show details
Number of participants limited to 30.

Last cancellation/deregistration date for this graded semester performance: 17 March 2021! Please note that after that date no deregistration will be accepted and a "no show" will appear on your transcript.
W7 credits3G + 3A
263-5300-00 GGuarantees for Machine Learning3 hrs
Thu12-14CAB G 59 »
Fri12-13CAB G 59 »
F. Yang
263-5300-00 AGuarantees for Machine Learning3 hrsF. Yang
401-0674-00LNumerical Methods for Partial Differential Equations
Not meant for BSc/MSc students of mathematics.
W10 credits2G + 2U + 2P + 4A
401-0674-00 GNumerical Methods for Partial Differential Equations
This course is designed in a flipped classroom format based on video tutorials and supplemented by a weekly question-and-answer session, for which attendance is highly recommended.
2 hrs
Mon16-18HG F 1 »
R. Hiptmair
401-0674-00 UNumerical Methods for Partial Differential Equations
Groups are selected in myStudies.
2 hrs
Fri10-12ETZ E 8 »
10-12HG D 1.1 »
10-12HG G 3 »
11-13ETZ G 91 »
R. Hiptmair
401-0674-00 PNumerical Methods for Partial Differential Equations
Homework C++ coding projects for the course "Numerical Methods for Partial Differential Equations"
2 hrsR. Hiptmair
401-0674-00 ANumerical Methods for Partial Differential Equations
Video guided self-study or group-study for the course "Numerical Methods for Partial Differential Equations"
4 hrsR. Hiptmair
401-3052-10LGraph Theory Information W10 credits4V + 1U
401-3052-10 VGraph Theory4 hrs
Wed10-12HG E 5 »
Thu10-12HG F 3 »
B. Sudakov
401-3052-10 UGraph Theory1 hrs
Thu16-17CAB G 52 »
16-17CAB G 56 »
16-17HG E 33.5 »
17-18HG E 33.5 »
29.04.18-19HG D 1.1 »
B. Sudakov
401-3602-00LApplied Stochastic Processes Information W8 credits3V + 1U
401-3602-00 VApplied Stochastic Processes3 hrs
Tue09-12IFW A 36 »
V. Tassion
401-3602-00 UApplied Stochastic Processes
Groups are selected in myStudies.
Thu 9-10 or Thu 12-13
1 hrs
Wed13-14HG E 33.1 »
Thu09-10LFW C 1 »
12-13HG G 26.5 »
V. Tassion
401-4632-15LCausality Information W4 credits2G
401-4632-15 GCausality2 hrs
Wed10-12HG E 1.1 »
C. Heinze-Deml
401-4656-21LDeep Learning in Scientific Computing Restricted registration - show details
Aimed at students in a Master's Programme in Mathematics, Engineering and Physics.
W6 credits2V + 1U
401-4656-21 VDeep Learning in Scientific Computing2 hrs
Mon14-16HG F 5 »
S. Mishra
401-4656-21 UDeep Learning in Scientific Computing1 hrs
Thu13-14ML H 44 »
S. Mishra
401-4944-20LMathematics of Data ScienceW8 credits4G
401-4944-20 GMathematics of Data Science
Does not take place this semester.
Planned to take place again in the Autumn Semester 2021.
4 hrsA. Bandeira
401-6102-00LMultivariate StatisticsW4 credits2G
401-6102-00 GMultivariate Statistics
Does not take place this semester.
By way of exception the course does not take place in the Spring Semester 2021.
2 hrsnot available
402-0448-01LQuantum Information Processing I: Concepts
This theory part QIP I together with the experimental part 402-0448-02L QIP II (both offered in the Spring Semester) combine to the core course in experimental physics "Quantum Information Processing" (totally 10 ECTS credits). This applies to the Master's degree programme in Physics.
W5 credits2V + 1U
402-0448-01 VQuantum Information Processing I: Concepts2 hrs
Mon14-16HPV G 5 »
P. Kammerlander
402-0448-01 UQuantum Information Processing I: Concepts1 hrs
Mon16-17HCI H 8.1 »
16-17HCI J 4 »
16-17HIL E 10.1 »
16-17HPV G 5 »
P. Kammerlander
701-0104-00LStatistical Modelling of Spatial DataW3 credits2G
701-0104-00 GStatistical Modelling of Spatial Data2 hrs
Wed08-10CHN F 46 »
A. J. Papritz
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