Suchergebnis: Lehrveranstaltungen im Herbstsemester 2020

Elektrotechnik und Informationstechnologie Master Information
Master-Studium (Studienreglement 2018)
Communication
The core courses and specialisation courses below are a selection for students who wish to specialise in the area of "Communication", see Link.

The individual study plan is subject to the tutor's approval.
Kernfächer
These core courses are particularly recommended for the field of "Communication".
You may choose core courses form other fields in agreement with your tutor.

A minimum of 24 credits must be obtained from core courses during the MSc EEIT.
Foundation Core Courses
Fundamentals at bachelor level, for master students who need to strengthen or refresh their background in the area.
NummerTitelTypECTSUmfangDozierende
227-0121-00LKommunikationssysteme Information W6 KP2V + 2U
227-0121-00 VKommunikationssysteme
Die genauen Unterrichtszeiten von ONLINE - Veranstaltungen werden von den Dozierenden kommuniziert.
2 Std.
Mi08:00-10:00ON LI NE »
A. Wittneben
227-0121-00 UKommunikationssysteme
Die genauen Unterrichtszeiten von ONLINE - Veranstaltungen werden von den Dozierenden kommuniziert.
2 Std.
Mi10:00-12:00ON LI NE »
A. Wittneben
227-0101-00LDiscrete-Time and Statistical Signal Processing Information W6 KP4G
227-0101-00 GDiscrete-Time and Statistical Signal Processing
The lecturers will communicate the exact lesson times of ONLINE courses.
4 Std.
Di14:00-18:00ON LI NE »
H.‑A. Loeliger
Advanced Core Courses
Advanced core courses bring students to gain in-depth knowledge of the chosen specialization. They are MSc level only.
NummerTitelTypECTSUmfangDozierende
227-0301-00LOptical Communication FundamentalsW6 KP2V + 1U + 1P
227-0301-00 VOptical Communication Fundamentals2 Std.
Di14:00-16:00ON LI NE »
J. Leuthold
227-0301-00 UOptical Communication Fundamentals1 Std.
Di16:00-17:00ON LI NE »
J. Leuthold
227-0301-00 POptical Communication Fundamentals1 Std.
Di17:00-18:00ON LI NE »
J. Leuthold
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This course has been replaced by "Introduction to Estimation and Machine Learning" (autumn semester) and "Advanced Signal Analysis, Modeling, and Machine Learning" (spring semester).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
227-0439-00LWireless Access Systems Information W6 KP2V + 2U
227-0439-00 VWireless Access Systems
Die genauen Unterrichtszeiten von ONLINE - Veranstaltungen werden von den Dozierenden kommuniziert.
2 Std.
Di08:00-10:00ON LI NE »
A. Wittneben
227-0439-00 UWireless Access Systems
Die genauen Unterrichtszeiten von ONLINE - Veranstaltungen werden von den Dozierenden kommuniziert.
2 Std.
Di10:00-12:00ON LI NE »
A. Wittneben
Vertiefungsfächer
These specialisation courses are particularly recommended for the area of "Communication", but you are free to choose courses from any other field in agreement with your tutor.

A minimum of 40 credits must be obtained from specialisation courses during the Master's Programme.
NummerTitelTypECTSUmfangDozierende
227-0102-00LDiskrete Ereignissysteme Information W6 KP4G
227-0102-00 GDiskrete Ereignissysteme
The lecturers will communicate the exact lesson times of ONLINE courses.
4 Std.
Do14:00-16:00ON LI NE »
16:00-18:00ON LI NE »
L. Thiele, L. Vanbever, R. Wattenhofer
227-0103-00LRegelsysteme Information W6 KP2V + 2U
227-0103-00 VRegelsysteme
The lecturers will communicate the exact lesson times of ONLINE courses.
2 Std.
Mo10:00-12:00ON LI NE »
F. Dörfler
227-0103-00 URegelsysteme
The lecturers will communicate the exact lesson times of ONLINE courses.
2 Std.
Di10:00-12:00ON LI NE »
F. Dörfler
227-0112-00LHigh-Speed Signal Propagation Information W6 KP2V + 2U
227-0112-00 VHigh-Speed Signal Propagation
Findet dieses Semester nicht statt.
Course moved to spring semester, starting FS 2021.
2 Std.C. Bolognesi
227-0112-00 UHigh-Speed Signal Propagation
Findet dieses Semester nicht statt.
Course moved to spring semester, starting FS 2021.
2 Std.C. Bolognesi
227-0116-00LVLSI I: From Architectures to VLSI Circuits and FPGAs Information W6 KP5G
227-0116-00 GVLSI I: From Architectures to VLSI Circuits and FPGAs
Lecture: Tue 8 - 10 h
Execises: Wed 13 - 16 h or Thu 09 - 12 h
The lecturers will communicate the exact lesson times of ONLINE courses.
5 Std.
Di08:00-10:00ON LI NE »
Mi13:15-16:00ETZ D 61.1 »
13:15-16:00ETZ D 61.2 »
13:15-16:00ETZ D 96.1 »
Do09:15-12:00ETZ D 61.1 »
09:15-12:00ETZ D 61.2 »
09:15-12:00ETZ D 96.1 »
F. K. Gürkaynak, L. Benini
227-0148-00LVLSI III: Test and Fabrication of VLSI Circuits Information W6 KP4G
227-0148-00 GVLSI III: Test and Fabrication of VLSI Circuits
Two-hour exercises according to registration list, Tue 16-18 h.
4 Std.
Di14:15-16:00ETZ E 8 »
F. K. Gürkaynak, L. Benini
227-0166-00LAnalog Integrated Circuits Information W6 KP2V + 2U
227-0166-00 VAnalog Integrated Circuits
The lecture can also be attended "online", per Zoom.
2 Std.
Fr10:15-12:00ETF C 1 »
T. Jang
227-0166-00 UAnalog Integrated Circuits
Some of the exercise lessons will take place in computer room ETZ D61.1, D61.2 and D96.1.
To be announced during the course lessons.
2 Std.
Fr14:15-16:00ETZ D 61.1 »
14:15-16:00ETZ D 61.2 »
14:15-16:00ETZ D 96.1 »
T. Jang
227-0301-00LOptical Communication FundamentalsW6 KP2V + 1U + 1P
227-0301-00 VOptical Communication Fundamentals2 Std.
Di14:00-16:00ON LI NE »
J. Leuthold
227-0301-00 UOptical Communication Fundamentals1 Std.
Di16:00-17:00ON LI NE »
J. Leuthold
227-0301-00 POptical Communication Fundamentals1 Std.
Di17:00-18:00ON LI NE »
J. Leuthold
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
227-0423-00LNeural Network Theory Information W4 KP2V + 1U
227-0423-00 VNeural Network Theory
«Hybrid».
Up to 150 students can attend the course on-site. Further information will be announced to enrolled students by e-mail in the week before the semester starts.

The first lecture is on 21.9.
2 Std.
Mo10:15-12:00ETF C 1 »
H. Bölcskei
227-0423-00 UNeural Network Theory
«Hybrid».
Up to 150 students can attend the course on-site. Further information will be announced to enrolled students by e-mail in the week before the semester starts.

The first lecture is on 21.9.
1 Std.
Mo12:15-13:00ETF C 1 »
H. Bölcskei
227-0447-00LImage Analysis and Computer Vision Information W6 KP3V + 1U
227-0447-00 VImage Analysis and Computer Vision
The lecturers will communicate the exact lesson times of ONLINE courses.
3 Std.
Do14:00-17:00ON LI NE »
L. Van Gool, E. Konukoglu, F. Yu
227-0447-00 UImage Analysis and Computer Vision
The lecturers will communicate the exact lesson times of ONLINE courses.
1 Std.
Do17:00-18:00ON LI NE »
L. Van Gool, E. Konukoglu
227-0468-00LAnalog Signal Processing and Filtering Information
Suitable for Master Students as well as Doctoral Students.
W6 KP2V + 2U
227-0468-00 VAnalog Signal Processing and Filtering2 Std.
Mi08:00-10:00ON LI NE »
H. Schmid
227-0468-00 UAnalog Signal Processing and Filtering2 Std.
Mi10:00-12:00ON LI NE »
H. Schmid
227-0477-00LAcoustics IW6 KP4G
227-0477-00 GAcoustics I4 Std.
Mo14:15-18:00ETZ E 7 »
K. Heutschi
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
263-4640-00LNetwork Security Information W8 KP2V + 2U + 3A
263-4640-00 VNetwork Security
<<Hybrid>> Students may only attend the lecture after obtaining a lecture ticket. More information about tickets can be found on the course's webpage.
2 Std.
Di10:00-12:00ON LI NE »
A. Perrig, S. Frei, M. Legner
263-4640-00 UNetwork Security2 Std.
Do16:00-18:00ON LI NE »
A. Perrig, S. Frei, M. Legner
263-4640-00 ANetwork Security
Project Work, no fixed presence required.
3 Std.A. Perrig, S. Frei, M. Legner
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