Search result: Courses in Autumn Semester 2020

Doctoral Dep. of Information Technology and Electrical Engineering Information
More Information at: Link
Doctoral and Post-Doctoral Courses
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.
NumberTitleTypeECTSHoursLecturers
» Course Catalogue of ETH Zurich
227-0105-00LIntroduction to Estimation and Machine Learning Restricted registration - show details W6 credits4G
227-0105-00 GIntroduction to Estimation and Machine Learning Special students and auditors need a special permission from the lecturers.
The lecturers will communicate the exact lesson times of ONLINE courses.
4 hrs
Fri14:00-18:00ON LI NE »
H.‑A. Loeliger
227-0146-00LAnalog-to-Digital Converters Information
Course will be moved to the autumn semester 2021.
W6 credits2V + 2U
227-0146-00 VAnalog-to-Digital Converters
Does not take place this semester.
2 hrs
227-0146-00 UAnalog-to-Digital Converters
Does not take place this semester.
2 hrs
227-0225-00LLinear System TheoryW6 credits5G
227-0225-00 GLinear System Theory
The lecturers will communicate the exact lesson times of ONLINE courses.
5 hrs
Mon09:00-12:00ON LI NE »
Wed10:00-12:00ON LI NE »
M. Colombino
227-0377-10LPhysics of Failure and Reliability of Electronic Devices and SystemsW3 credits2V
227-0377-10 VPhysics of Failure and Reliability of Electronic Devices and Systems2 hrs
Thu14:15-16:00ETZ K 91 »
I. Shorubalko, M. Held
227-0417-00LInformation Theory IW6 credits4G
227-0417-00 GInformation Theory I
Classroom teaching with lecture recording.
4 hrs
Wed14:15-18:00ETF 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This course has been replaced by "Introduction to Estimation and Machine Learning" (autumn semester) and "Advanced Signal Analysis, Modeling, and Machine Learning" (spring semester).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 credits4G
227-0427-00 GSignal Analysis, Models, and Machine Learning
Does not take place this semester.
This course has been replaced by "Introduction to Estimation and Machine Learning" (autumn semester) and "Advanced Signal Analysis, Modeling, and Machine Learning" (spring semester)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 hrsH.‑A. Loeliger
227-0559-10LSeminar in Communication Networks: Learning, Reasoning and Control Restricted registration - show details
Number of participants limited to 24.
W2 credits2S
227-0559-10 SSeminar in Communication Networks: Learning, Reasoning and Control
Does not take place this semester.
Course offered again in FS 2021.
2 hrsL. Vanbever
227-0689-00LSystem Identification Information W4 credits2V + 1U
227-0689-00 VSystem Identification
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Wed10:00-12:00ON LI NE »
R. Smith
227-0689-00 USystem Identification
The lecturers will communicate the exact lesson times of ONLINE courses.
1 hrs
Wed12:00-13:00ON LI NE »
R. Smith
227-0955-00LSeminar in Electromagnetics, Photonics and Terahertz Information W3 credits2S
227-0955-00 SSeminar in Electromagnetics, Photonics and Terahertz2 hrs
Wed10:15-12:00ETZ 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.
Permission from lecturers required for all students.
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 hrsK. Stephan
252-0417-00LRandomized Algorithms and Probabilistic MethodsW10 credits3V + 2U + 4A
252-0417-00 VRandomized Algorithms and Probabilistic Methods
Does not take place this semester.
The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrsA. Steger
252-0417-00 URandomized Algorithms and Probabilistic Methods
Does not take place this semester.
2 hrsA. Steger
252-0417-00 ARandomized Algorithms and Probabilistic Methods
Does not take place this semester.
Project Work, no fixed presence required.
4 hrsA. Steger
252-0535-00LAdvanced Machine Learning Information W10 credits3V + 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 hrs
Thu15:15-16:00ETA F 5 »
Fri08:15-10:00ETA F 5 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 UAdvanced Machine Learning2 hrs
Wed14:15-16:00CAB G 61 »
16:15-18:00CAB G 61 »
Thu16:15-18:00ML F 34 »
Fri14:15-16:00CAB G 61 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
4 hrsJ. M. Buhmann, C. Cotrini Jimenez
263-3900-01LCommunication Networks Seminar Information Restricted registration - show details
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 credits2S
263-3900-01 SCommunication Networks Seminar
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Wed10:00-12:00ON LI NE »
A. Singla, L. Vanbever
263-4500-00LAdvanced Algorithms Information W9 credits3V + 2U + 3A
263-4500-00 VAdvanced Algorithms
The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Wed09:00-12:00ON LI NE »
M. Ghaffari
263-4500-00 UAdvanced Algorithms
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Fri10:00-12:00ON LI NE »
M. Ghaffari
263-4500-00 AAdvanced Algorithms3 hrsM. Ghaffari
327-2132-00LMultifunctional Ferroic Materials: Growth, Characterisation, SimulationW2 credits2G
327-2132-00 GMultifunctional Ferroic Materials: Growth, Characterization and Simulation2 hrs
Mon13:45-15:30HCI H 8.1 »
M. Trassin
401-5680-00LFoundations of Data Science Seminar Information Z0 credits
401-5680-00 KFoundations of Data Science Seminar
4s hrsP. 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 credits2V
227-0377-00 VPhysics of Failure and Failure Analysis of Electronic Devices and Equipment
Does not take place this semester.
2 hrs
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