Suchergebnis: Lehrveranstaltungen im Herbstsemester 2020

Doktorat Departement Informationstechnologie und Elektrotechnik Information
Mehr Informationen unter: Link
Lehrangebot Doktorat und Postdoktorat
A minimum of 12 ECTS credit points must be obtained during doctoral studies.

The courses on offer below are only a small selection out of a much larger available number of courses. Please discuss your course selection with your PhD supervisor.
NummerTitelTypECTSUmfangDozierende
» Auswahl aus sämtlichen Lehrveranstaltungen der ETH Zürich
227-0105-00LIntroduction to Estimation and Machine Learning Belegung eingeschränkt - Details anzeigen W6 KP4G
227-0105-00 GIntroduction to Estimation and Machine Learning Für Fachstudierende und Hörer/-innen ist eine Spezialbewilligung der Dozierenden notwendig.
The lecturers will communicate the exact lesson times of ONLINE courses.
4 Std.
Fr14:00-18:00ON LI NE »
H.‑A. Loeliger
227-0146-00LAnalog-to-Digital Converters Information
Course will be moved to the autumn semester 2021.
W6 KP2V + 2U
227-0146-00 VAnalog-to-Digital Converters
Findet dieses Semester nicht statt.
2 Std.
227-0146-00 UAnalog-to-Digital Converters
Findet dieses Semester nicht statt.
2 Std.
227-0225-00LLinear System TheoryW6 KP5G
227-0225-00 GLinear System Theory
The lecturers will communicate the exact lesson times of ONLINE courses.
5 Std.
Mo09:00-12:00ON LI NE »
Mi10:00-12:00ON LI NE »
M. Colombino
227-0377-10LPhysics of Failure and Reliability of Electronic Devices and SystemsW3 KP2V
227-0377-10 VPhysics of Failure and Reliability of Electronic Devices and Systems2 Std.
Do14:15-16:00ETZ K 91 »
I. Shorubalko, M. Held
227-0417-00LInformation Theory IW6 KP4G
227-0417-00 GInformation Theory I
Classroom teaching with lecture recording.
4 Std.
Mi14:15-18:00ETF C 1 »
A. Lapidoth
227-0427-00LSignal Analysis, Models, and Machine Learning
This course has been replaced by "Introduction to Estimation and Machine Learning" (autumn semester) and "Advanced Signal Analysis, Modeling, and Machine Learning" (spring semester).
W6 KP4G
227-0427-00 GSignal Analysis, Models, and Machine Learning
Findet dieses Semester nicht statt.
This course has been replaced by "Introduction to Estimation and Machine Learning" (autumn semester) and "Advanced Signal Analysis, Modeling, and Machine Learning" (spring semester)
4 Std.H.‑A. Loeliger
227-0559-10LSeminar in Communication Networks: Learning, Reasoning and Control Belegung eingeschränkt - Details anzeigen
Number of participants limited to 24.
W2 KP2S
227-0559-10 SSeminar in Communication Networks: Learning, Reasoning and Control
Findet dieses Semester nicht statt.
Course offered again in FS 2021.
2 Std.L. Vanbever
227-0689-00LSystem Identification Information W4 KP2V + 1U
227-0689-00 VSystem Identification
The lecturers will communicate the exact lesson times of ONLINE courses.
2 Std.
Mi10:00-12:00ON LI NE »
R. Smith
227-0689-00 USystem Identification
The lecturers will communicate the exact lesson times of ONLINE courses.
1 Std.
Mi12:00-13:00ON LI NE »
R. Smith
227-0955-00LSeminar in Electromagnetics, Photonics and Terahertz Information W3 KP2S
227-0955-00 SSeminar in Electromagnetics, Photonics and Terahertz2 Std.
Mi10:15-12:00ETZ K 71 »
J. Leuthold
227-0974-00LTNU Colloquium Belegung eingeschränkt - Details anzeigen W0 KP2K
227-0974-00 KTNU Colloquium Für Fachstudierende und Hörer/-innen ist eine Spezialbewilligung der Dozierenden notwendig.
Bewilligung der Dozierenden für alle Studierenden notwendig.
Takes place on the following dates (14:00 - 16:00):
17.09.; 24.09.; 01.10.; 08.10.; 15.10.; 22.10.; 29.10; 05.11.; 12.11.; 19.11; 26.11.;
03.12.; 10.12.; 17.12.2020

WIL Building, TNU meeting room F105, Translational Neuromodeling Unit, Institute
for Biomedical Engineering, Wilfriedstrasse 6, 8032 Zürich.
(Link)
2 Std.K. Stephan
252-0417-00LRandomized Algorithms and Probabilistic MethodsW10 KP3V + 2U + 4A
252-0417-00 VRandomized Algorithms and Probabilistic Methods
Findet dieses Semester nicht statt.
The lecturers will communicate the exact lesson times of ONLINE courses.
3 Std.A. Steger
252-0417-00 URandomized Algorithms and Probabilistic Methods
Findet dieses Semester nicht statt.
2 Std.A. Steger
252-0417-00 ARandomized Algorithms and Probabilistic Methods
Findet dieses Semester nicht statt.
Project Work, no fixed presence required.
4 Std.A. Steger
252-0535-00LAdvanced Machine Learning Information W10 KP3V + 2U + 4A
252-0535-00 VAdvanced Machine Learning
The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality.
3 Std.
Do15:15-16:00ETA F 5 »
Fr08:15-10:00ETA F 5 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 UAdvanced Machine Learning2 Std.
Mi14:15-16:00CAB G 61 »
16:15-18:00CAB G 61 »
Do16:15-18:00ML F 34 »
Fr14:15-16:00CAB G 61 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
4 Std.J. M. Buhmann, C. Cotrini Jimenez
263-3900-01LCommunication Networks Seminar Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 20.

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 seminar, will officially fail the seminar.
W2 KP2S
263-3900-01 SCommunication Networks Seminar
The lecturers will communicate the exact lesson times of ONLINE courses.
2 Std.
Mi10:00-12:00ON LI NE »
A. Singla, L. Vanbever
263-4500-00LAdvanced Algorithms Information W9 KP3V + 2U + 3A
263-4500-00 VAdvanced Algorithms
The lecturers will communicate the exact lesson times of ONLINE courses.
3 Std.
Mi09:00-12:00ON LI NE »
M. Ghaffari
263-4500-00 UAdvanced Algorithms
The lecturers will communicate the exact lesson times of ONLINE courses.
2 Std.
Fr10:00-12:00ON LI NE »
M. Ghaffari
263-4500-00 AAdvanced Algorithms3 Std.M. Ghaffari
327-2132-00LMultifunctional Ferroic Materials: Growth, Characterisation, SimulationW2 KP2G
327-2132-00 GMultifunctional Ferroic Materials: Growth, Characterization and Simulation2 Std.
Mo13:45-15:30HCI H 8.1 »
M. Trassin
401-5680-00LFoundations of Data Science Seminar Information Z0 KP
401-5680-00 KFoundations of Data Science Seminar
4s Std.P. L. Bühlmann, A. Bandeira, H. Bölcskei, J. M. Buhmann, T. Hofmann, A. Krause, A. Lapidoth, H.‑A. Loeliger, M. H. Maathuis, G. Rätsch, C. Uhler, S. van de Geer, F. Yang
227-0377-00LPhysics of Failure and Failure Analysis of Electronic Devices and EquipmentW3 KP2V
227-0377-00 VPhysics of Failure and Failure Analysis of Electronic Devices and Equipment
Findet dieses Semester nicht statt.
2 Std.
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