Suchergebnis: Lerneinheiten im Herbstsemester 2024
Elektrotechnik und Informationstechnologie Master  | ||||||
 Master-Studium (Studienreglement 2018) | ||||||
| Vertiefung: 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 https://www.ee.ethz.ch/studies/main-master/areas-of-specialisation.html. 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 | |
|---|---|---|---|---|---|---|
| 227-0116-00L | VLSI 1: HDL Based Design for FPGAs | W | 6 KP | 5G | F. K. Gürkaynak | |
| 227-0121-00L | Communication Systems | W | 6 KP | 4G | C. Studer, S. M. Moser | |
| 227-0155-00L | Machine Learning on Microcontrollers  Registration in this class requires the permission of the instructors. Preference is given to students in the MSc EEIT. | W | 6 KP | 4G | M. Magno | |
| 227-0225-00L | Linear System Theory | W | 6 KP | 5G | J. Lygeros, A. Tsiamis | |
| 227-0384-00L | Ultrasound Fundamentals and Applications in Biology and Medicine Previously (up to spring 2020) offered as Ultrasound Fundamentals, Imaging, and Medical Applications | W | 4 KP | 3G | X. L. Dean Ben | |
| 227-0417-00L | Information Theory I | W | 6 KP | 4G | A. Lapidoth | |
| 227-0421-00L | Learning in Deep Artificial and Biological Neuronal Networks | W | 4 KP | 3G | B. Grewe | |
| 227-0477-00L | Acoustics I | W | 3 KP | 2G | R. Pieren | |
| 227-0492-00L | Statistical Learning Theory: on the sample complexity problem | W | 1 KP | 2S | S. Mendelson | |
| 227-0560-00L | Computer Vision and Artificial Intelligence for Autonomous Cars Up until FS2022 offered as Deep Learning for Autonomous Driving | W | 6 KP | 3V + 2P | C. Sakaridis | |
| 263-5210-00L | Probabilistic Artificial Intelligence | W | 8 KP | 3V + 2U + 2A | A. Krause | |
| 263-5300-00L | Guarantees for Machine Learning Findet dieses Semester nicht statt. | W | 7 KP | 3V + 1U + 2A | F. Yang | |
| 401-3054-14L | Probabilistic Methods in Combinatorics | W | 5 KP | 2V + 1U | B. Sudakov | |
| 401-3055-64L | Algebraic Methods in Combinatorics Findet dieses Semester nicht statt. | W | 5 KP | 2V + 1U | keine Angaben | |
| 401-3621-00L | Fundamentals of Mathematical Statistics | W | 9 KP | 4V + 1U | J. Ziegel | |
| 401-3901-00L | Linear & Combinatorial Optimization | W | 10 KP | 4V + 2U | R. Zenklusen | |
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