Suchergebnis: Lerneinheiten im Frühjahrssemester 2021

Elektrotechnik und Informationstechnologie Master Information
Master-Studium (Studienreglement 2018)
Signal Processing and Machine Learning
The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Signal Processing and Machine Learning ", see Link.

The individual study plan is subject to the tutor's approval.
Vertiefungsfächer
These specialization 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 specialization courses during the MSc EEIT.
NummerTitelTypECTSUmfangDozierende
227-0120-00LCommunication Networks Information W6 KP4GL. Vanbever
227-0147-00LVLSI II: Design of Very Large Scale Integration Circuits Information W6 KP5GF. K. Gürkaynak, L. Benini
227-0418-00LAlgebra and Error Correcting Codes Information W6 KP4GH.‑A. Loeliger
227-0150-00LSystems-on-Chip for Data Analytics and Machine Learning
Previously "Energy-Efficient Parallel Computing Systems for Data Analytics"
W6 KP4GL. Benini
227-0155-00LMachine Learning on Microcontrollers Belegung eingeschränkt - Details anzeigen
Number of participants limited to 40.
Registration in this class requires the permission of the instructors.
W6 KP3GM. Magno, L. Benini
227-0424-00LModel- and Learning-Based Inverse Problems in ImagingW4 KP2V + 1PV. Vishnevskiy
227-0432-00LLearning, Classification and Compression Information W4 KP2V + 1UE. Riegler
227-0436-00LDigital Communication and Signal Processing
Findet dieses Semester nicht statt.
W6 KP2V + 2UA. Wittneben
227-0478-00LAcoustics II Information W6 KP4GK. Heutschi, R. Pieren
227-0449-00LSeminar in Biomedical Image ComputingW1 KP2SE. Konukoglu, B. Menze, M. A. Reyes Aguirre
227-0558-00LPrinciples of Distributed Computing Information W7 KP2V + 2U + 2AR. Wattenhofer, M. Ghaffari
227-0560-00LDeep Learning for Autonomous Driving Information Belegung eingeschränkt - Details anzeigen
Registration in this class requires the permission of the instructors.
Class size will be limited to 80 students.
Please send an email to Dengxin Dai <Link> about your courses/projects that are related to machine learning, computer vision, and Robotics.
W6 KP3V + 2PD. Dai, A. Liniger
227-0707-00LOptimization Methods for EngineersW3 KP2GJ. Smajic
227-0948-00LMagnetic Resonance Imaging in MedicineW4 KP3GS. Kozerke, M. Weiger Senften
227-0973-00LTranslational NeuromodelingW8 KP3V + 2U + 1AK. Stephan
227-1032-00LNeuromorphic Engineering II Information
Information für UZH Studierende:
Die Lerneinheit kann nur an der ETH belegt werden. Die Belegung des Moduls INI405 ist an der UZH nicht möglich.

Beachten Sie die Einschreibungstermine an der ETH für UZH Studierende: Link
W6 KP5GT. Delbrück, G. Indiveri, S.‑C. Liu
151-0566-00LRecursive Estimation Information W4 KP2V + 1UR. D'Andrea
252-0526-00LStatistical Learning Theory Information W8 KP3V + 2U + 2AJ. M. Buhmann, C. Cotrini Jimenez
252-0579-00L3D Vision Information W5 KP3G + 1AM. Pollefeys, V. Larsson
252-3900-00LBig Data for Engineers Information
This course is not intended for Computer Science and Data Science MSc students!
W6 KP2V + 2U + 1AG. Fourny
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