Das Herbstsemester 2020 findet in einer gemischten Form aus Online- und Präsenzunterricht statt.
Bitte lesen Sie die publizierten Informationen zu den einzelnen Lehrveranstaltungen genau.

Suchergebnis: Lehrveranstaltungen im Frühjahrssemester 2019

Data Science Master Information
Kernfächer
Datenanalyse
Information and Learning
NummerTitelTypECTSUmfangDozierende
227-0434-10LMathematics of Information Information W8 KP3V + 2U + 2A
227-0434-10 VMathematics of Information3 Std.
Do09-12ETZ E 6 »
H. Bölcskei
227-0434-10 UMathematics of Information2 Std.
Mo13-15ML F 38 »
H. Bölcskei
227-0434-10 AMathematics of Information2 Std.H. Bölcskei
Statistics
NummerTitelTypECTSUmfangDozierende
401-3632-00LComputational StatisticsW8 KP3V + 1U
401-3632-00 VComputational Statistics
On 18 April 2019 the course takes place in HG E 3.
3 Std.
Do13-15HG F 3 »
Fr09-10HG G 3 »
18.04.13-15HG E 3 »
M. H. Maathuis
401-3632-00 UComputational Statistics
A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG F 3.
1 Std.
Fr10-11HG F 3 »
M. H. Maathuis
Datenmanagement und Datenverarbeitung
NummerTitelTypECTSUmfangDozierende
261-5110-00LOptimization for Data Science Information W8 KP3V + 2U + 2A
261-5110-00 VOptimization for Data Science3 Std.
Mo15-16HG E 1.1 »
Di10-12ETF C 1 »
B. Gärtner, D. Steurer
261-5110-00 UOptimization for Data Science2 Std.
Di13-15CHN G 22 »
13-15HG D 3.2 »
13-15RZ F 21 »
B. Gärtner, D. Steurer
261-5110-00 AOptimization for Data Science2 Std.B. Gärtner, D. Steurer
Wählbare Kernfächer
NummerTitelTypECTSUmfangDozierende
151-0566-00LRecursive Estimation Information W4 KP2V + 1U
151-0566-00 VRecursive Estimation
The lecture starts in the second week of the semester.
2 Std.
Mi13-15CHN C 14 »
R. D'Andrea
151-0566-00 URecursive Estimation
The exercise starts in the second week of the semester.
1 Std.
Mi15-16CHN C 14 »
R. D'Andrea
227-0150-00LSystems-on-chip for Data Analytics and Machine Learning Information
Previously "Energy-Efficient Parallel Computing Systems for Data Analytics"
W6 KP4G
227-0150-00 GSystems-on-chip for Data Analytics and Machine Learning4 Std.
Di08-12ETZ E 9 »
L. Benini
227-0420-00LInformation Theory II Information W6 KP2V + 2U
227-0420-00 VInformation Theory II2 Std.
Do15-17ETZ E 9 »
A. Lapidoth, S. M. Moser
227-0420-00 UInformation Theory II2 Std.
Do13-15ETZ E 9 »
A. Lapidoth, S. M. Moser
227-0558-00LPrinciples of Distributed Computing Information W6 KP2V + 2U + 1A
227-0558-00 VPrinciples of Distributed Computing2 Std.
Mi08-10CAB G 11 »
R. Wattenhofer, M. Ghaffari
227-0558-00 UPrinciples of Distributed Computing
In Gruppen
2 Std.
Mi10-12CAB G 56 »
13-15LFW C 11 »
R. Wattenhofer, M. Ghaffari
227-0558-00 APrinciples of Distributed Computing
No presence required.
Creative task outside the regular weekly exercises.
1 Std.R. Wattenhofer, M. Ghaffari
252-0211-00LInformation Security Information W8 KP4V + 3U
252-0211-00 VInformation Security4 Std.
Do13-15CAB G 61 »
Fr13-15CAB G 61 »
D. Basin, S. Capkun, E. Mohammadi
252-0211-00 UInformation Security3 Std.
Mi15-18HG F 26.5 »
Do15-18ML F 36 »
18.04.15-17ML F 36 »
25.05.10-16HG D 3.2 »
29.05.15-17HG F 26.5 »
D. Basin, S. Capkun, E. Mohammadi
252-0526-00LStatistical Learning Theory Information W7 KP3V + 2U + 1A
252-0526-00 VStatistical Learning Theory3 Std.
Mo14-16HG E 5 »
Di09-10HG E 5 »
J. M. Buhmann
252-0526-00 UStatistical Learning Theory2 Std.
Mo16-18HG E 5 »
J. M. Buhmann
252-0526-00 AStatistical Learning Theory1 Std.J. M. Buhmann
252-0538-00LShape Modeling and Geometry Processing Information W5 KP2V + 1U + 1A
252-0538-00 VShape Modeling and Geometry Processing2 Std.
Mi10-12CAB G 51 »
O. Sorkine Hornung
252-0538-00 UShape Modeling and Geometry Processing1 Std.
Fr10-11CAB G 52 »
O. Sorkine Hornung
252-0538-00 AShape Modeling and Geometry Processing1 Std.O. Sorkine Hornung
252-0579-00L3D Vision Information W4 KP3G
252-0579-00 G3D Vision3 Std.
Mo09-12CAB G 51 »
M. Pollefeys, V. Larsson
252-3005-00LNatural Language Understanding Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 200.
W4 KP2V + 1U
252-3005-00 VNatural Language Understanding2 Std.
Mo10-12CAB G 11 »
M. Ciaramita, T. Hofmann
252-3005-00 UNatural Language Understanding1 Std.
Mo13-14HG E 5 »
M. Ciaramita, T. Hofmann
261-5130-00LResearch in Data Science Belegung eingeschränkt - Details anzeigen
Only for Data Science MSc.
W6 KP13A
261-5130-00 AResearch in Data Science180s Std.Professor/innen
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 Lab2 Std.
Fr08-10HG E 7 »
T. Hofmann
263-0008-00 UComputational Intelligence Lab2 Std.
Do15-17CAB G 51 »
16-18CHN C 14 »
Fr15-17CAB G 61 »
18.04.16-17CHN C 14 »
T. Hofmann
263-0008-00 AComputational Intelligence Lab
No presence required.
3 Std.T. Hofmann
263-2300-00LHow To Write Fast Numerical Code Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 84.

Prerequisite: Master student, solid C programming skills.

Takes place the last time in this form.
W6 KP3V + 2U
263-2300-00 VHow To Write Fast Numerical Code3 Std.
Mo10-12HG D 3.2 »
Do09-10CAB G 51 »
M. Püschel
263-2300-00 UHow To Write Fast Numerical Code2 Std.
Mi13-15HG D 3.2 »
M. Püschel
263-2925-00LProgram Analysis for System Security and Reliability Information W5 KP2V + 1U + 1A
263-2925-00 VProgram Analysis for System Security and Reliability2 Std.
Mo13-15CAB G 61 »
M. Vechev
263-2925-00 UProgram Analysis for System Security and Reliability1 Std.
Mo15-16CAB G 61 »
M. Vechev
263-2925-00 AProgram Analysis for System Security and Reliability1 Std.M. Vechev
263-3710-00LMachine Perception Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 150.
W5 KP2V + 1U + 1A
263-3710-00 VMachine Perception2 Std.
Do10-12CAB G 61 »
O. Hilliges
263-3710-00 UMachine Perception1 Std.
Do13-15NO C 6 »
Fr13-15NO C 6 »
O. Hilliges
263-3710-00 AMachine Perception1 Std.O. Hilliges
263-3826-00LData Stream Processing and Analytics Information W6 KP2V + 2U + 1A
263-3826-00 VData Stream Processing and Analytics2 Std.
Mo10-12CHN E 42 »
V. Kalavri
263-3826-00 UData Stream Processing and Analytics2 Std.
Mo13-15CHN F 46 »
18.02.13-15CHN D 46 »
V. Kalavri
263-3826-00 AData Stream Processing and Analytics1 Std.V. Kalavri
263-4506-00LMassively Parallel Algorithms Information W6 KP2V + 1U + 2A
263-4506-00 VMassively Parallel Algorithms2 Std.
Fr10-12CAB G 51 »
M. Ghaffari
263-4506-00 UMassively Parallel Algorithms1 Std.
Fr17-18CAB G 15.2 »
M. Ghaffari
263-4506-00 AMassively Parallel Algorithms2 Std.M. Ghaffari
263-5215-00LFairness, Explainability, and Accountability for Machine Learning Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 40.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the course, will officially fail the course.
W4 KP1V + 2P
263-5215-00 VFairness, Explainability, and Accountability for Machine Learning1 Std.
Mi09-10CAB G 59 »
H. Heidari
263-5215-00 PFairness, Explainability, and Accountability for Machine Learning2 Std.
Mi10-11CAB G 59 »
H. Heidari
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