Suchergebnis: Lehrveranstaltungen im Herbstsemester 2020
Elektrotechnik und Informationstechnologie Master | |||||||||||||||||||||||||||
Master-Studium (Studienreglement 2018) | |||||||||||||||||||||||||||
Signal Processing and Machine Learning The core courses and specialisation courses below are a selection for students who wish to specialise in the area of "Signal Processing and Machine Learning ", see Link. The individual study plan is subject to the tutor's approval. | |||||||||||||||||||||||||||
Vertiefungsfächer These specialisation courses are particularly recommended for the area of "Signal Processing and Machine Learning", 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 MSc EEIT. | |||||||||||||||||||||||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | ||||||||||||||||||||||
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227-0116-00L | VLSI I: From Architectures to VLSI Circuits and FPGAs | W | 6 KP | 5G | |||||||||||||||||||||||
227-0116-00 G | VLSI 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. |
| F. K. Gürkaynak, L. Benini | |||||||||||||||||||||||
227-0155-00L | Machine Learning on Microcontrollers Registration in this class requires the permission of the instructors. Class size will be limited to 16. Preference is given to students in the MSc EEIT. | W | 6 KP | 3G | |||||||||||||||||||||||
227-0155-00 G | Machine Learning on Microcontrollers
Bewilligung der Dozierenden für alle Studierenden notwendig.
All the lectures will be remote by zoom. For exercises we will include a tutorial to install all the software at home. The lab will be divided in 3 groups and students need physical assistance and can come in their dedicate time in ETZ K63. | 3 Std. |
| M. Magno, L. Benini | |||||||||||||||||||||||
227-0121-00L | Kommunikationssysteme | W | 6 KP | 2V + 2U | |||||||||||||||||||||||
227-0121-00 V | Kommunikationssysteme Die genauen Unterrichtszeiten von ONLINE - Veranstaltungen werden von den Dozierenden kommuniziert. | 2 Std. |
| A. Wittneben | |||||||||||||||||||||||
227-0121-00 U | Kommunikationssysteme Die genauen Unterrichtszeiten von ONLINE - Veranstaltungen werden von den Dozierenden kommuniziert. | 2 Std. |
| A. Wittneben | |||||||||||||||||||||||
227-0225-00L | Linear System Theory | W | 6 KP | 5G | |||||||||||||||||||||||
227-0225-00 G | Linear System Theory The lecturers will communicate the exact lesson times of ONLINE courses. | 5 Std. |
| M. Colombino | |||||||||||||||||||||||
227-0417-00L | Information Theory I | W | 6 KP | 4G | |||||||||||||||||||||||
227-0417-00 G | Information Theory I Classroom teaching with lecture recording. | 4 Std. |
| A. Lapidoth | |||||||||||||||||||||||
227-0421-00L | Learning in Deep Artificial and Biological Neuronal Networks | W | 4 KP | 3G | |||||||||||||||||||||||
227-0421-00 G | Learning in Deep Artificial and Biological Neuronal Networks | 3 Std. |
| B. Grewe | |||||||||||||||||||||||
227-0445-10L | Mathematical Methods of Signal Processing | W | 6 KP | 4G | |||||||||||||||||||||||
227-0445-10 G | Mathematical Methods of Signal Processing Lecture start is on Tuesday, 6 October 2020. Remote lecture on Tusdays 8-10h, per Zoom: Meeting-ID: 994 133 7347 Kenncode: 530642 Remote exercise on Thursdays 14-16h, per Zoom. Meeting-ID: 863 7709 0433 Kenncode: 170548 The lecturer will communicate the exact lesson times of ONLINE courses. | 4 Std. |
| H. G. Feichtinger | |||||||||||||||||||||||
227-0477-00L | Acoustics I | W | 6 KP | 4G | |||||||||||||||||||||||
227-0477-00 G | Acoustics I | 4 Std. |
| K. Heutschi | |||||||||||||||||||||||
263-5210-00L | Probabilistic Artificial Intelligence | W | 8 KP | 3V + 2U + 2A | |||||||||||||||||||||||
263-5210-00 V | Probabilistic Artificial Intelligence 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. |
| A. Krause | |||||||||||||||||||||||
263-5210-00 U | Probabilistic Artificial Intelligence | 2 Std. |
| A. Krause | |||||||||||||||||||||||
263-5210-00 A | Probabilistic Artificial Intelligence | 2 Std. | A. Krause | ||||||||||||||||||||||||
401-0647-00L | Introduction to Mathematical Optimization | W | 5 KP | 2V + 1U | |||||||||||||||||||||||
401-0647-00 V | Introduction to Mathematical Optimization "Hybrid" Online except in September/October 2020 for students in the Computational Science and Engineering Bachelor's Programme, where this course is mandatory. Those students will be invited by the lecturer to the classroom teaching (Tue 16-18 ETH Zentrum campus). As of November 2020 ONLINE for all students. The lecturers will communicate the exact lesson times of ONLINE courses. URL for live streaming: Link | 2 Std. |
| D. Adjiashvili | |||||||||||||||||||||||
401-0647-00 U | Introduction to Mathematical Optimization Gruppeneinteilung erfolgt über myStudies. Wed 12-13 or Wed 16-17 The lecturers will communicate the exact lesson times of ONLINE courses. | 1 Std. |
| D. Adjiashvili | |||||||||||||||||||||||
401-3054-14L | Probabilistic Methods in Combinatorics | W | 6 KP | 2V + 1U | |||||||||||||||||||||||
401-3054-14 V | Probabilistic Methods in Combinatorics | 2 Std. |
| B. Sudakov | |||||||||||||||||||||||
401-3054-14 U | Probabilistic Methods in Combinatorics | 1 Std. |
| B. Sudakov | |||||||||||||||||||||||
401-3621-00L | Fundamentals of Mathematical Statistics | W | 10 KP | 4V + 1U | |||||||||||||||||||||||
401-3621-00 V | Fundamentals of Mathematical Statistics The lecturers will communicate the exact lesson times of ONLINE courses. URL for live streaming: Link | 4 Std. |
| S. van de Geer | |||||||||||||||||||||||
401-3621-00 U | Fundamentals of Mathematical Statistics The lecturers will communicate the exact lesson times of ONLINE courses. | 1 Std. |
| S. van de Geer | |||||||||||||||||||||||
401-3901-00L | Mathematical Optimization | W | 11 KP | 4V + 2U | |||||||||||||||||||||||
401-3901-00 V | Mathematical Optimization The lecturers will communicate the exact lesson times of ONLINE courses. | 4 Std. |
| R. Zenklusen | |||||||||||||||||||||||
401-3901-00 U | Mathematical Optimization Gruppeneinteilung erfolgt über myStudies. Thu 14-16 or Fri 10-12 or Fr 12-14 or Fri 14-16 (depending on demand) The lecturers will communicate the exact lesson times of ONLINE courses. | 2 Std. |
| R. Zenklusen | |||||||||||||||||||||||
401-4619-67L | Advanced Topics in Computational Statistics | W | 4 KP | 2V | |||||||||||||||||||||||
401-4619-00 V | Advanced Topics in Computational Statistics Findet dieses Semester nicht statt. | 2 Std. | keine Angaben |
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