Search result: Courses in Autumn Semester 2020
Electrical Engineering and Information Technology Master  | |||||||||||||||||||||||||||
 Master Studies (Programme Regulations 2008) | |||||||||||||||||||||||||||
| Major Courses A total of 42 CP must be achieved during the Master Programme. The individual study plan is subject to the tutor's approval. | |||||||||||||||||||||||||||
| Signal Processing and Machine Learning | |||||||||||||||||||||||||||
| Core Subjects | |||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 227-0105-00L | Introduction to Estimation and Machine Learning  | W | 6 credits | 4G | |||||||||||||||||||||||
| 227-0105-00 G | Introduction to Estimation and Machine Learning
 The lecturers will communicate the exact lesson times of ONLINE courses. | 4 hrs |
| H.‑A. Loeliger | |||||||||||||||||||||||
| 227-0423-00L | Neural Network Theory | W | 4 credits | 2V + 1U | |||||||||||||||||||||||
| 227-0423-00 V | Neural 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 hrs |
| H. Bölcskei | |||||||||||||||||||||||
| 227-0423-00 U | Neural 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 hrs |
| H. Bölcskei | |||||||||||||||||||||||
| 227-0427-00L | Signal Analysis, Models, and Machine Learning This course has been replaced by "Introduction to Estimation and Machine Learning" (autumn semester) and "Advanced Signal Analysis, Modeling, and Machine Learning" (spring semester). | W | 6 credits | 4G | |||||||||||||||||||||||
| 227-0427-00 G | Signal 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 This course has been replaced by "Introduction to Estimation and Machine Learning" (autumn semester) and "Advanced Signal Analysis, Modeling, and Machine Learning" (spring semester) | 4 hrs | H.‑A. Loeliger | ||||||||||||||||||||||||
| 227-0447-00L | Image Analysis and Computer Vision | W | 6 credits | 3V + 1U | |||||||||||||||||||||||
| 227-0447-00 V | Image Analysis and Computer Vision The lecturers will communicate the exact lesson times of ONLINE courses. | 3 hrs |
| L. Van Gool, E. Konukoglu, F. Yu | |||||||||||||||||||||||
| 227-0447-00 U | Image Analysis and Computer Vision The lecturers will communicate the exact lesson times of ONLINE courses. | 1 hrs |
| L. Van Gool, E. Konukoglu | |||||||||||||||||||||||
| 252-0535-00L | Advanced Machine Learning | W | 10 credits | 3V + 2U + 4A | |||||||||||||||||||||||
| 252-0535-00 V | Advanced 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 |
| J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||||||||||
| 252-0535-00 U | Advanced Machine Learning | 2 hrs |
| J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||||||||||
| 252-0535-00 A | Advanced Machine Learning Project Work, no fixed presence required. | 4 hrs | J. M. Buhmann, C. Cotrini Jimenez | ||||||||||||||||||||||||
| Recommended Subjects | |||||||||||||||||||||||||||
| Number | Title | Type | ECTS | Hours | Lecturers | ||||||||||||||||||||||
| 227-0101-00L | Discrete-Time and Statistical Signal Processing | W | 6 credits | 4G | |||||||||||||||||||||||
| 227-0101-00 G | Discrete-Time and Statistical Signal Processing The lecturers will communicate the exact lesson times of ONLINE courses. | 4 hrs |
| H.‑A. Loeliger | |||||||||||||||||||||||
| 227-0116-00L | VLSI I: From Architectures to VLSI Circuits and FPGAs | W | 6 credits | 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 hrs |
| 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 credits | 3G | |||||||||||||||||||||||
| 227-0155-00 G | Machine Learning on Microcontrollers
Permission from lecturers required for all students.
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 hrs |
| M. Magno, L. Benini | |||||||||||||||||||||||
| 227-0225-00L | Linear System Theory | W | 6 credits | 5G | |||||||||||||||||||||||
| 227-0225-00 G | Linear System Theory The lecturers will communicate the exact lesson times of ONLINE courses. | 5 hrs |
| M. Colombino | |||||||||||||||||||||||
| 227-0417-00L | Information Theory I | W | 6 credits | 4G | |||||||||||||||||||||||
| 227-0417-00 G | Information Theory I Classroom teaching with lecture recording. | 4 hrs |
| A. Lapidoth | |||||||||||||||||||||||
| 227-0421-00L | Learning in Deep Artificial and Biological Neuronal Networks | W | 4 credits | 3G | |||||||||||||||||||||||
| 227-0421-00 G | Learning in Deep Artificial and Biological Neuronal Networks | 3 hrs |
| B. Grewe | |||||||||||||||||||||||
| 227-0445-10L | Mathematical Methods of Signal Processing | W | 6 credits | 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 hrs |
| H. G. Feichtinger | |||||||||||||||||||||||
| 227-0477-00L | Acoustics I | W | 6 credits | 4G | |||||||||||||||||||||||
| 227-0477-00 G | Acoustics I | 4 hrs |
| K. Heutschi | |||||||||||||||||||||||
| 263-5210-00L | Probabilistic Artificial Intelligence | W | 8 credits | 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 hrs |
| A. Krause | |||||||||||||||||||||||
| 263-5210-00 U | Probabilistic Artificial Intelligence | 2 hrs |
| A. Krause | |||||||||||||||||||||||
| 263-5210-00 A | Probabilistic Artificial Intelligence | 2 hrs | A. Krause | ||||||||||||||||||||||||
| 401-0647-00L | Introduction to Mathematical Optimization | W | 5 credits | 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: https://video.ethz.ch/live/lectures/zentrum/hg/hg-d-3-2.html | 2 hrs |
| D. Adjiashvili | |||||||||||||||||||||||
| 401-0647-00 U | Introduction to Mathematical Optimization Groups are selected in myStudies. Wed 12-13 or Wed 16-17 The lecturers will communicate the exact lesson times of ONLINE courses. | 1 hrs |
| D. Adjiashvili | |||||||||||||||||||||||
| 401-3054-14L | Probabilistic Methods in Combinatorics | W | 6 credits | 2V + 1U | |||||||||||||||||||||||
| 401-3054-14 V | Probabilistic Methods in Combinatorics | 2 hrs |
| B. Sudakov | |||||||||||||||||||||||
| 401-3054-14 U | Probabilistic Methods in Combinatorics | 1 hrs |
| B. Sudakov | |||||||||||||||||||||||
| 401-3621-00L | Fundamentals of Mathematical Statistics | W | 10 credits | 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: https://video.ethz.ch/live/lectures/zentrum/hg/hg-d-5-2.html | 4 hrs |
| S. van de Geer | |||||||||||||||||||||||
| 401-3621-00 U | Fundamentals of Mathematical Statistics The lecturers will communicate the exact lesson times of ONLINE courses. | 1 hrs |
| S. van de Geer | |||||||||||||||||||||||
| 401-3901-00L | Mathematical Optimization | W | 11 credits | 4V + 2U | |||||||||||||||||||||||
| 401-3901-00 V | Mathematical Optimization The lecturers will communicate the exact lesson times of ONLINE courses. | 4 hrs |
| R. Zenklusen | |||||||||||||||||||||||
| 401-3901-00 U | Mathematical Optimization Groups are selected in 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 hrs |
| R. Zenklusen | |||||||||||||||||||||||
| 401-4619-67L | Advanced Topics in Computational Statistics | W | 4 credits | 2V | |||||||||||||||||||||||
| 401-4619-00 V | Advanced Topics in Computational Statistics Does not take place this semester. | 2 hrs | not available | ||||||||||||||||||||||||
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