Suchergebnis: Lehrveranstaltungen im Frühjahrssemester 2019

Data Science Master Information
Kernfächer
Wählbare Kernfächer
NummerTitelTypECTSUmfangDozierende
401-0674-00LNumerical Methods for Partial Differential Equations
Nicht für Studierende BSc/MSc Mathematik
W8 KP2G + 2P + 4A
401-0674-00 GNumerical Methods for Partial Differential Equations
This course is designed in a flipped classroom format.
Attendance at the question and answer session ("Zentralübung") on Mondays 15-17 is expected. In addition, a Study Center is offered Mon 17-21 in HG E 41.
2 Std.
Mo15:15-17:00HG F 1 »
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
401-3052-05LGraph Theory Information W5 KP2V + 1U
401-3052-05 VGraph Theory28s Std.
Mi/110:15-12:00HG E 1.1 »
Do/110:15-12:00HG E 1.1 »
B. Sudakov
401-3052-05 UGraph Theory7s Std.
Do/115:15-16:00CAB G 52 »
15:15-16:00CAB G 56 »
15:15-16:00HG D 5.3 »
15:15-16:00HG E 21 »
B. Sudakov
401-3052-10LGraph Theory Information W10 KP4V + 1U
401-3052-10 VGraph Theory4 Std.
Mi10:15-12:00HG E 1.1 »
Do10:15-12:00HG E 1.1 »
B. Sudakov
401-3052-10 UGraph Theory1 Std.
Do15:15-16:00CAB G 52 »
15:15-16:00CAB G 56 »
15:15-16:00CHN E 46 »
15:15-16:00HG D 5.3 »
15:15-16:00HG E 21 »
B. Sudakov
401-3602-00LApplied Stochastic Processes Information W8 KP3V + 1U
401-3602-00 VApplied Stochastic Processes3 Std.
Di10:15-12:00HG D 5.2 »
Mi13:15-14:00HG G 3 »
V. Tassion
401-3602-00 UApplied Stochastic Processes
Thu 9-10 or Thu 12-13
1 Std.
Do09:15-10:00HG D 7.2 »
09:15-10:00HG F 26.3 »
12:15-13:00HG D 7.2 »
V. Tassion
401-4627-00LEmpirical Process Theory with Applications in Statistics and Machine Learning Information W4 KP2V
401-4627-00 VEmpirical Process Theory with Applications in Statistics and Machine Learning2 Std.
Do08:15-10:00HG E 5 »
S. van de Geer
401-4632-15LCausality Information W4 KP2G
401-4632-15 GCausality2 Std.
Mi10:15-12:00HG E 3 »
C. Heinze-Deml
401-4904-00LCombinatorial Optimization Information W6 KP2V + 1U
401-4904-00 VCombinatorial Optimization
takes place in HG G 19.1 with the following exceptions: 21 February, 14 March and 21 March 2019 in HG D 1.2
2 Std.
Do16:15-18:00HG D 1.2 »
16:15-18:00HG G 19.1 »
18.04.16:15-17:00HG D 1.2 »
16:15-17:00HG G 19.1 »
R. Zenklusen
401-4904-00 UCombinatorial Optimization
Starts in the second week of the semester.
1 Std.
Mo14:15-15:00HG E 1.2 »
R. Zenklusen
401-6102-00LMultivariate StatisticsW4 KP2G
401-6102-00 GMultivariate Statistics2 Std.
Mo13:15-15:00HG D 1.1 »
18.02.13:15-15:00HG D 1.2 »
25.02.13:15-15:00HG D 1.2 »
N. Meinshausen
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
227-0224-00LStochastic SystemsW4 KP2V + 1U
227-0224-00 VStochastic Systems
Findet dieses Semester nicht statt.
2 Std.
227-0224-00 UStochastic Systems
Findet dieses Semester nicht statt.
1 Std.
401-3622-00LRegressionW8 KP4G
401-3622-00 GRegression
Findet dieses Semester nicht statt.
planned to be offered in the Autumn Semester 2019 as a yearly recurring course with new course title: Statistical Modelling
4 Std.keine Angaben
Interdisziplinäre Wahlfächer
NummerTitelTypECTSUmfangDozierende
101-0478-00LMeasurement and Modelling of Travel BehaviourW6 KP4G
101-0478-00 GMeasurement and Modeling of Travel Behaviour4 Std.
Mi09:45-11:30HIL F 36.1 »
Do08:00-09:35HIL F 36.1 »
K. W. Axhausen
103-0228-00LMultimedia Cartography
Voraussetzung: Erfolgreicher Abschluss der Lerneinheit Cartography III (103-0227-00L).
W4 KP3G
103-0228-00 GMultimedia Cartography3 Std.
Di08:00-10:30HIL G 22 »
H.‑R. Bär, R. Sieber
103-0247-00LMobile GIS and Location-Based ServicesW5 KP4G
103-0247-00 GMobile GIS and Location-Based Services4 Std.
Do12:45-16:30HIL G 22 »
P. Kiefer
103-0255-01LGeodatenanalyseW2 KP2G
103-0255-01 GGeodatenanalyse2 Std.
Do14:45-16:30HIL D 53 »
R. Buffat
227-0945-10LCell and Molecular Biology for Engineers II
This course is part II of a two-semester course.
Knowledge of part I is required.
W3 KP2G
227-0945-10 GCell and Molecular Biology for Engineers II2 Std.
Do13:15-15:00ETZ F 91 »
C. Frei
227-0391-00LMedical Image Analysis
Basic knowledge of computer vision would be helpful.
W3 KP2G
227-0391-00 GMedical Image Analysis2 Std.
Di13:15-15:00CAB G 11 »
19.02.13:15-15:00CHN D 48 »
E. Konukoglu, M. A. Reyes Aguirre, C. Tanner
261-5113-00LComputational Challenges in Medical Genomics Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 20.
W2 KP2S
261-5113-00 SComputational Challenges in Medical Genomics2 Std.
Mo13:15-15:00CAB G 57 »
A. Kahles, G. Rätsch
261-5120-00LMachine Learning for Health Care Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 78.

Previously called Computational Biomedicine II
W4 KP3P
261-5120-00 PMachine Learning for Health Care3 Std.
Do15:15-18:00LFW C 5 »
G. Rätsch
262-0200-00LBayesian PhylodynamicsW4 KP2G + 2A
262-0200-00 GBayesian Phylodynamics2 Std.
Mi11:15-13:00BSA E 60 »
T. Stadler, T. Vaughan
262-0200-00 ABayesian Phylodynamics2 Std.T. Stadler, T. Vaughan
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