Suchergebnis: Lehrveranstaltungen im Frühjahrssemester 2021

Data Science Master Information
Kernfächer
Wählbare Kernfächer
NummerTitelTypECTSUmfangDozierende
263-0008-00LComputational Intelligence Lab
Only for master students, otherwise a special permission by the study administration of D-INFK is required.
W8 KP2V + 2U + 3A
263-0008-00 VComputational Intelligence Lab
The lecturers will communicate the exact lesson times of ONLINE courses.
2 Std.
Fr10:00-12:00ON LI NE »
T. Hofmann
263-0008-00 UComputational Intelligence Lab
The lecturers will communicate the exact lesson times of ONLINE courses.
2 Std.
Do14:00-16:00ON LI NE »
Fr16:00-18:00ON LI NE »
T. Hofmann
263-0008-00 AComputational Intelligence Lab
No presence required.
3 Std.T. Hofmann
263-2925-00LProgram Analysis for System Security and Reliability Information W7 KP2V + 1U + 3A
263-2925-00 VProgram Analysis for System Security and Reliability2 Std.
Di16:15-18:00CAB G 51 »
M. Vechev
263-2925-00 UProgram Analysis for System Security and Reliability1 Std.
Do13:15-14:00CAB G 51 »
M. Vechev
263-2925-00 AProgram Analysis for System Security and Reliability3 Std.M. Vechev
263-3710-00LMachine Perception Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 200.
W8 KP3V + 2U + 2A
263-3710-00 VMachine Perception3 Std.
Mi13:15-14:00HG F 1 »
Do12:15-14:00HG E 5 »
O. Hilliges, S. Tang
263-3710-00 UMachine Perception2 Std.
Do14:15-16:00CAB G 11 »
Fr14:15-16:00CAB G 11 »
O. Hilliges, S. Tang
263-3710-00 AMachine Perception2 Std.O. Hilliges, S. Tang
263-3855-00LCloud Computing Architecture Information W9 KP3V + 2U + 3A
263-3855-00 VCloud Computing Architecture3 Std.
Di11:15-12:00CAB G 61 »
Mi12:15-14:00CAB G 61 »
G. Alonso, A. Klimovic
263-3855-00 UCloud Computing Architecture2 Std.
Mi16:15-18:00CAB G 11 »
G. Alonso, A. Klimovic
263-3855-00 ACloud Computing Architecture3 Std.G. Alonso, A. Klimovic
263-4400-00LAdvanced Graph Algorithms and Optimization Information W8 KP3V + 1U + 3A
263-4400-00 VAdvanced Graph Algorithms and Optimization3 Std.
Mo10:15-11:00ML F 38 »
Di16:15-18:00ML F 38 »
R. Kyng, M. Probst
263-4400-00 UAdvanced Graph Algorithms and Optimization1 Std.
Do15:15-16:00ML F 38 »
R. Kyng, M. Probst
263-4400-00 AAdvanced Graph Algorithms and Optimization3 Std.R. Kyng, M. Probst
263-5000-00LComputational Semantics for Natural Language Processing Information Belegung eingeschränkt - Details anzeigen
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 KP2V + 1U + 2A
263-5000-00 VComputational Semantics for Natural Language Processing2 Std.
Do10:15-12:00CAB G 51 »
M. Sachan
263-5000-00 UComputational Semantics for Natural Language Processing1 Std.
Do15:15-16:00CAB G 59 »
M. Sachan
263-5000-00 AComputational Semantics for Natural Language Processing2 Std.M. Sachan
263-5300-00LGuarantees for Machine Learning Information Belegung eingeschränkt - Details anzeigen
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 KP3G + 3A
263-5300-00 GGuarantees for Machine Learning3 Std.
Do12:15-14:00CAB G 59 »
Fr12:15-13:00CAB G 59 »
F. Yang
263-5300-00 AGuarantees for Machine Learning3 Std.F. Yang
401-0674-00LNumerical Methods for Partial Differential Equations
Nicht für Studierende BSc/MSc Mathematik
W10 KP2G + 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 Std.
Mo16:15-18:00HG F 1 »
R. Hiptmair
401-0674-00 UNumerical Methods for Partial Differential Equations
Gruppeneinteilung erfolgt über myStudies.
2 Std.
Fr10:15-12:00ETZ E 8 »
10:15-12:00HG D 1.1 »
10:15-12:00HG G 3 »
11:15-13:00ETZ 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 Std.R. 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 Std.R. Hiptmair
401-3052-10LGraph Theory Information W10 KP4V + 1U
401-3052-10 VGraph Theory4 Std.
Mi10:15-12:00HG E 5 »
Do10:15-12:00HG F 3 »
B. Sudakov
401-3052-10 UGraph Theory1 Std.
Do16:15-17:00CAB G 52 »
16:15-17:00CAB G 56 »
16:15-17:00HG E 33.5 »
17:15-18:00HG E 33.5 »
29.04.18:15-19:00HG D 1.1 »
B. Sudakov
401-3602-00LApplied Stochastic Processes Information W8 KP3V + 1U
401-3602-00 VApplied Stochastic Processes3 Std.
Di09:15-12:00IFW A 36 »
V. Tassion
401-3602-00 UApplied Stochastic Processes
Gruppeneinteilung erfolgt über myStudies.
Thu 9-10 or Thu 12-13
1 Std.
Mi13:15-14:00HG E 33.1 »
Do09:15-10:00LFW C 1 »
12:15-13:00HG G 26.5 »
V. Tassion
401-4632-15LCausality Information W4 KP2G
401-4632-15 GCausality2 Std.
Mi10:15-12:00HG E 1.1 »
C. Heinze-Deml
401-4656-21LDeep Learning in Scientific Computing Belegung eingeschränkt - Details anzeigen
Aimed at students in a Master's Programme in Mathematics, Engineering and Physics.
W6 KP2V + 1U
401-4656-21 VDeep Learning in Scientific Computing2 Std.
Mo14:15-16:00HG F 5 »
S. Mishra
401-4656-21 UDeep Learning in Scientific Computing1 Std.
Do13:15-14:00ML H 44 »
S. Mishra
401-4944-20LMathematics of Data ScienceW8 KP4G
401-4944-20 GMathematics of Data Science
Findet dieses Semester nicht statt.
Planned to take place again in the Autumn Semester 2021.
4 Std.A. Bandeira
401-6102-00LMultivariate StatisticsW4 KP2G
401-6102-00 GMultivariate Statistics
Findet dieses Semester nicht statt.
By way of exception the course does not take place in the Spring Semester 2021.
2 Std.keine Angaben
402-0448-01LQuantum Information Processing I: Concepts
Dieser theoretisch ausgerichtete Teil QIP I bildet zusammen mit dem experimentell ausgerichteten Teil 402-0448-02L QIP II, die beide im Frühjahrssemester angeboten werden, im Master-Studiengang Physik das experimentelle Kernfach "Quantum Information Processing" mit total 10 ECTS-Kreditpunkten.
W5 KP2V + 1U
402-0448-01 VQuantum Information Processing I: Concepts2 Std.
Mo13:45-15:30HPV G 5 »
P. Kammerlander
402-0448-01 UQuantum Information Processing I: Concepts1 Std.
Mo15:45-16:30HCI H 8.1 »
15:45-16:30HCI J 4 »
15:45-16:30HIL E 10.1 »
15:45-16:30HPV G 5 »
P. Kammerlander
701-0104-00LStatistical Modelling of Spatial DataW3 KP2G
701-0104-00 GStatistical Modelling of Spatial Data2 Std.
Mi08:15-10:00CHN F 46 »
A. J. Papritz
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