Search result: Courses in Autumn Semester 2018

Doctoral Dep. of Information Technology and Electrical Engineering Information
Doctoral and Post-Doctoral Courses
A minimum of 12 ECTS credit points must be obtained during doctoral studies.

The courses on offer below are but a small selection out of a much larger available number of courses. Please discuss your course selection with your PhD supervisor.
NumberTitleTypeECTSHoursLecturers
151-0906-00LFrontiers in Energy Research
This course is only for doctoral students.
W2 credits2S
151-0906-00 SFrontiers in Energy Research
Does not take place this semester.
2 hrsD. Poulikakos, R. Boes, V. Hoffmann, G. Hug, M. Mazzotti, A. Patt, A. Schlüter
227-0225-00LLinear System TheoryW6 credits5G
227-0225-00 GLinear System Theory5 hrs
Mon09-12HG D 7.1 »
Thu17-19ETZ E 8 »
M. Kamgarpour
227-0417-00LInformation Theory IW6 credits4G
227-0417-00 GInformation Theory I4 hrs
Wed13-17ETF E 1 »
A. Lapidoth
227-0427-00LSignal Analysis, Models, and Machine LearningW6 credits4G
227-0427-00 GSignal Analysis, Models, and Machine Learning4 hrs
Fri08-12CHN C 14 »
H.‑A. Loeliger
227-0689-00LSystem IdentificationW4 credits2V + 1U
227-0689-00 VSystem Identification2 hrs
Wed10-12HG E 1.2 »
R. Smith
227-0689-00 USystem Identification1 hrs
Wed12-13ETZ D 61.1 »
12-13HG E 1.2 »
R. Smith
227-0955-00LSeminar in Electromagnetics, Photonics and Terahertz Information W3 credits2S
227-0955-00 SSeminar in Electromagnetics, Photonics and Terahertz2 hrs
Wed10-12ETZ K 71 »
J. Leuthold
227-0974-00LTNU Colloquium Restricted registration - show details W0 credits2K
227-0974-00 KTNU Colloquium Special students and auditors need a special permission from the lecturers.
Takes place on the following dates (14:00 - 16:00):
20.9., 27.9., 4.10., 11.10., 18.10., 25.10., 1.11., 8.11., 15.11., 22.11., 29.11., 6.12., 13.12., 20.12.2018

WIL Building, TNU meeting room F105, Translational Neuromodeling Unit, Institute for Biomedical Engineering, Wilfriedstrasse 6, 8032 Zürich.
(http://www.mapsearch.ethz.ch/map.do?gebaeudeMap=WIL)
2 hrsK. Stephan
252-0535-00LAdvanced Machine Learning Information W8 credits3V + 2U + 2A
252-0535-00 VAdvanced Machine Learning
Vorlesung:
Donnerstag im ML D 28 mit Videoübertragung im ML E 12
Freitag im HG F 1 mit Videoübertragung im HG F 3
3 hrs
Thu14-15ML D 28 »
14-15ML E 12 »
Fri08-10HG F 1 »
08-10HG F 3 »
J. M. Buhmann
252-0535-00 UAdvanced Machine Learning2 hrs
Wed13-15CAB G 61 »
15-17CAB G 61 »
Thu15-17CAB G 51 »
Fri13-15CAB G 61 »
J. M. Buhmann
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
2 hrsJ. M. Buhmann
252-0417-00LRandomized Algorithms and Probabilistic MethodsW8 credits3V + 2U + 2A
252-0417-00 VRandomized Algorithms and Probabilistic Methods3 hrs
Tue13-14CAB G 51 »
Thu08-10CAB G 51 »
18.09.13-14HG E 1.1 »
A. Steger
252-0417-00 URandomized Algorithms and Probabilistic Methods2 hrs
Tue16-18CAB G 51 »
16-18ML H 41.1 »
A. Steger
252-0417-00 ARandomized Algorithms and Probabilistic Methods
Project Work, no fixed presence required.
2 hrsA. Steger
263-4500-00LAdvanced Algorithms Information W6 credits2V + 2U + 1A
263-4500-00 VAdvanced Algorithms2 hrs
Tue10-12CAB G 61 »
M. Ghaffari, A. Krause
263-4500-00 UAdvanced Algorithms2 hrs
Fri10-12CAB G 59 »
M. Ghaffari, A. Krause
263-4500-00 AAdvanced Algorithms1 hrsM. Ghaffari, A. Krause
327-2132-00LMultifunctional Ferroic Materials: Growth, Characterisation, SimulationW2 credits2G
327-2132-00 GMultifunctional Ferroic Materials: Growth and Characterization2 hrs
Mon13-15HCI H 8.1 »
M. Trassin, M. Fiebig
401-3054-14LProbabilistic Methods in Combinatorics Information W6 credits2V + 1U
401-3054-14 VProbabilistic Methods in Combinatorics2 hrs
Thu10-12HG D 7.2 »
B. Sudakov
401-3054-14 UProbabilistic Methods in Combinatorics1 hrs
Mon15-16HG E 5 »
B. Sudakov
» Course Catalogue of ETH Zurich
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