Search result: Course units in Spring Semester 2021

Electrical Engineering and Information Technology Master Information
Master Studies (Programme Regulations 2018)
Communication
The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Communication", see Link.

The individual study plan is subject to the tutor's approval.
Core Courses
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
NumberTitleTypeECTSHoursLecturers
227-0104-00LCommunication and Detection Theory Information W6 credits4GA. Lapidoth
227-0120-00LCommunication Networks Information W6 credits4GL. Vanbever
227-0125-00LOptics and PhotonicsW6 credits2V + 2UJ. Leuthold
Advanced Core Courses
NumberTitleTypeECTSHoursLecturers
227-0147-00LVLSI II: Design of Very Large Scale Integration Circuits Information W6 credits5GF. K. Gürkaynak, L. Benini
227-0418-00LAlgebra and Error Correcting Codes Information W6 credits4GH.‑A. Loeliger
227-0420-00LInformation Theory II Information W6 credits4GA. Lapidoth, S. M. Moser
227-0436-00LDigital Communication and Signal Processing
Does not take place this semester.
W6 credits2V + 2UA. Wittneben
227-0558-00LPrinciples of Distributed Computing Information W7 credits2V + 2U + 2AR. Wattenhofer, M. Ghaffari
Specialization Courses
These specialization 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 specialization courses during the Master's Programme.
NumberTitleTypeECTSHoursLecturers
227-0111-00LCommunication Electronics
Does not take place this semester.
W6 credits2V + 2Uto be announced
227-0112-00LHigh-Speed Signal Propagation Information W6 credits2V + 2UC. Bolognesi
227-0216-00LControl Systems II Information W6 credits4GR. Smith
227-0427-10LAdvanced Signal Analysis, Modeling, and Machine Learning Information W6 credits4GH.‑A. Loeliger
227-0434-10LMathematics of Information Information W8 credits3V + 2U + 2AH. Bölcskei
227-0455-00LTerahertz: Technology and ApplicationsW5 credits3G + 3AK. Sankaran
227-0478-00LAcoustics II Information W6 credits4GK. Heutschi, R. Pieren
252-0526-00LStatistical Learning Theory Information W8 credits3V + 2U + 2AJ. M. Buhmann, C. Cotrini Jimenez
Computers and Networks
The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Computers and Networks", see Link.

The individual study plan is subject to the tutor's approval.
Core Courses
These core courses are particularly recommended for the field of "Computers and Networks".
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
NumberTitleTypeECTSHoursLecturers
227-0104-00LCommunication and Detection Theory Information W6 credits4GA. Lapidoth
227-0120-00LCommunication Networks Information W6 credits4GL. Vanbever
Advanced Core Courses
NumberTitleTypeECTSHoursLecturers
227-0558-00LPrinciples of Distributed Computing Information W7 credits2V + 2U + 2AR. Wattenhofer, M. Ghaffari
Specialization Courses
These specialization courses are particularly recommended for the area of "Computers and Networks", 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 Master's Programme.
NumberTitleTypeECTSHoursLecturers
227-0126-00LAdvanced Topics in Networked Embedded SystemsW2 credits1SL. Thiele
227-0420-00LInformation Theory II Information W6 credits4GA. Lapidoth, S. M. Moser
227-0436-00LDigital Communication and Signal Processing
Does not take place this semester.
W6 credits2V + 2UA. Wittneben
227-0559-00LSeminar in Deep Neural Networks Information Restricted registration - show details
Number of participants limited to 25.
W2 credits2SR. Wattenhofer, O. Richter
227-0559-10LSeminar in Communication Networks Information Restricted registration - show details
Number of participants limited to 24.

This lecture complements the "Communication Networks Seminar" (263-3900-01L) offered in the Autumn semester. Students can get credits either seminar, but not for both.
W2 credits2SL. Vanbever, R. Jacob
101-0178-01LUncertainty Quantification in Engineering Information W3 credits2GS. Marelli, B. Sudret
151-0593-00LEmbedded Control SystemsW4 credits6GJ. S. Freudenberg, M. Schmid Daners
252-0312-00LUbiquitous Computing Information W6 credits2V + 3AC. Holz
252-0408-00LCryptographic Protocols Information W6 credits2V + 2U + 1AM. Hirt, U. Maurer
227-2211-00LSeminar in Computer Architecture Information Restricted registration - show details
Number of participants limited to 22.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2SO. Mutlu, M. H. K. Alser, J. Gómez Luna
Electronics and Photonics
The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Electronics and Photonics", see Link.

The individual study plan is subject to the tutor's approval.
Core Courses
These core courses are particularly recommended for the field of "Electronics and Photonics".
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
NumberTitleTypeECTSHoursLecturers
227-0111-00LCommunication Electronics
Does not take place this semester.
W6 credits2V + 2Uto be announced
227-0112-00LHigh-Speed Signal Propagation Information W6 credits2V + 2UC. Bolognesi
227-0125-00LOptics and PhotonicsW6 credits2V + 2UJ. Leuthold
227-0147-00LVLSI II: Design of Very Large Scale Integration Circuits Information W6 credits5GF. K. Gürkaynak, L. Benini
227-0160-00LFundamentals of Physical Modeling and SimulationsW6 credits2V + 2U + 1PJ. Smajic
Advanced Core Courses
NumberTitleTypeECTSHoursLecturers
227-0150-00LSystems-on-Chip for Data Analytics and Machine Learning
Previously "Energy-Efficient Parallel Computing Systems for Data Analytics"
W6 credits4GL. Benini
227-0159-00LSemiconductor Devices: Quantum Transport at the Nanoscale Information W6 credits2V + 2UM. Luisier, A. Emboras
Specialization Courses
These specialization courses are particularly recommended for the area of "Electronics and Photonics", 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 Master's Programme.
NumberTitleTypeECTSHoursLecturers
227-0117-10LExperimental Techniques Restricted registration - show details W6 credits4GC. Franck, H.‑J. Weber
227-0155-00LMachine Learning on Microcontrollers Restricted registration - show details
Number of participants limited to 40.
Registration in this class requires the permission of the instructors.
W6 credits3GM. Magno, L. Benini
227-0303-00LAdvanced PhotonicsW6 credits2V + 2U + 1AA. Emboras, M. Burla, A. Dorodnyy
227-0330-00LEnergy-Efficient Analog Circuits for IoT SystemsW6 credits2V + 2UT. Jang
227-0455-00LTerahertz: Technology and ApplicationsW5 credits3G + 3AK. Sankaran
227-0659-00LIntegrated Systems Seminar Information
Does not take place this semester.
W1 credit1S
227-0622-00LThermal Modeling: From Semiconductor to Medical Devices and Personalized Therapy PlanningW4 credits2V + 1UE. Neufeld, M. Luisier
227-0662-00LOrganic and Nanostructured Optics and Electronics (Course)
Does not take place this semester.
W3 credits2GV. Wood
227-0662-10LOrganic and Nanostructured Optics and Electronics (Project) Information Restricted registration - show details
Does not take place this semester.
W3 credits2AV. Wood
227-0664-00LTechnology and Policy of Electrical Energy StorageW3 credits2GV. Wood, T. Schmidt
227-0669-00LChemistry of Devices and Technologies Restricted registration - show details
Limited to 30 participants.
W4 credits1V + 2UM. Yarema
227-0707-00LOptimization Methods for EngineersW3 credits2GJ. Smajic
151-0172-00LMicrosystems II: Devices and Applications Information W6 credits3V + 3UC. Hierold, C. I. Roman
151-0620-00LEmbedded MEMS Lab
Number of participants limited to 20.
W5 credits3PC. Hierold, M. Haluska
Energy and Power Electronics
The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Energy and Power Electronics", see Link.

The individual study plan is subject to the tutor's approval.
Core Courses
These core courses are particularly recommended for the field of "Energy and Power Electronics".
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
NumberTitleTypeECTSHoursLecturers
227-0117-10LExperimental Techniques Restricted registration - show details W6 credits4GC. Franck, H.‑J. Weber
227-0156-00LPower SemiconductorsW6 credits4GU. Grossner
Advanced Core Courses
NumberTitleTypeECTSHoursLecturers
227-0248-00LPower Electronic Systems II Information W6 credits4GJ. W. Kolar
227-0250-00LPower Semiconductor PackagingW6 credits2V + 2UU. Grossner, I. Kovacevic
227-0528-00LPower System Dynamics, Control and Operation Information W6 credits4GG. Hug
227-0530-00LOptimization in Energy SystemsW6 credits4GG. Hug
227-0537-00LTechnology of Electric Power System ComponentsW6 credits4GC. Franck
Specialization Courses
These specialization courses are particularly recommended for the area of "Energy and Power Electronics", 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 Master's Programme.
NumberTitleTypeECTSHoursLecturers
227-0207-00LNonlinear Systems and Control Information
Prerequisite: Control Systems (227-0103-00L)
W6 credits4GE. Gallestey Alvarez, P. F. Al Hokayem
227-0518-10LDesign and Control of Electric MachinesW6 credits4GD. Bortis
227-0524-00LRailway Systems IIW6 credits4GM. Meyer
227-0536-00LMultiphysics Simulations for Power Systems Information
This course is defined so and planned to be an addition to the module "227-0537-00L Technology of Electric Power System Components".
However, the students who are familiar with the fundamentals of electromagnetic fields could attend only this course without its 227-0537-00-complement.
W4 credits2V + 2UJ. Smajic
227-0696-00LPredictive Control of Power Electronics SystemsW6 credits2V + 2UT. Geyer
227-0730-00LPower Market II - Modeling and Strategic PositioningW6 credits4GD. Reichelt, G. A. Koeppel
Systems and Control
The core courses and specialization courses below are a selection for students who wish to specialize in the area of "Systems and Control", see Link.

The individual study plan is subject to the tutor's approval.
Core Courses
These core courses are particularly recommended for the field of "Systems and Control".
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.
Advanced Core Courses
NumberTitleTypeECTSHoursLecturers
151-0566-00LRecursive Estimation Information W4 credits2V + 1UR. D'Andrea
151-0660-00LModel Predictive Control Information W4 credits2V + 1UM. Zeilinger, A. Carron
227-0207-00LNonlinear Systems and Control Information
Prerequisite: Control Systems (227-0103-00L)
W6 credits4GE. Gallestey Alvarez, P. F. Al Hokayem
227-0216-00LControl Systems II Information W6 credits4GR. Smith
227-0224-00LStochastic Systems
Does not take place this semester.
W4 credits2V + 1Uto be announced
227-0690-12LAdvanced Topics in Control (Spring 2021)
New topics are introduced every year.
W4 credits2V + 2UF. Dörfler, M. Hudoba de Badyn, W. Mei
Specialization Courses
These specialization courses are particularly recommended for the area of "Systems and Control", 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 Master's Programme.
NumberTitleTypeECTSHoursLecturers
227-0530-00LOptimization in Energy SystemsW6 credits4GG. Hug
227-0690-11LLarge-Scale Convex OptimizationW4 credits2V + 2UG. Banjac
227-0694-00LGame Theory and ControlW4 credits2V + 2US. Bolognani
227-0696-00LPredictive Control of Power Electronics SystemsW6 credits2V + 2UT. Geyer
227-0945-10LCell and Molecular Biology for Engineers II
This course is part II of a two-semester course.
Knowledge of part I is required.
W3 credits2GC. Frei
151-0641-00LIntroduction to Robotics and Mechatronics Information Restricted registration - show details
Number of participants limited to 45.

Enrollment is only valid through registration on the MSRL website (Link). Registrations per e-mail is no longer accepted!
W4 credits2V + 2UB. Nelson, N. Shamsudhin
151-0854-00LAutonomous Mobile Robots Information W5 credits4GR. Siegwart, M. Chli, N. Lawrance
252-0526-00LStatistical Learning Theory Information W8 credits3V + 2U + 2AJ. M. Buhmann, C. Cotrini Jimenez
376-1217-00LRehabilitation Engineering I: Motor FunctionsW4 credits2V + 1US. Raspopovic, M. Xiloyannis
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.
Core Courses
These core courses are particularly recommended for the field of "Signal Processing and Machine Learning".
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
NumberTitleTypeECTSHoursLecturers
252-0220-00LIntroduction to Machine Learning Information Restricted registration - show details
Limited number of participants. Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact Link
W8 credits4V + 2U + 1AA. Krause, F. Yang
Advanced Core Courses
NumberTitleTypeECTSHoursLecturers
227-0427-10LAdvanced Signal Analysis, Modeling, and Machine Learning Information W6 credits4GH.‑A. Loeliger
227-0434-10LMathematics of Information Information W8 credits3V + 2U + 2AH. Bölcskei
227-0391-00LMedical Image Analysis
Basic knowledge of computer vision would be helpful.
W3 credits2GE. Konukoglu, M. A. Reyes Aguirre
401-4944-20LMathematics of Data Science
Does not take place this semester.
W8 credits4GA. Bandeira
Specialization Courses
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.
NumberTitleTypeECTSHoursLecturers
227-0120-00LCommunication Networks Information W6 credits4GL. Vanbever
227-0147-00LVLSI II: Design of Very Large Scale Integration Circuits Information W6 credits5GF. K. Gürkaynak, L. Benini
227-0418-00LAlgebra and Error Correcting Codes Information W6 credits4GH.‑A. Loeliger
227-0150-00LSystems-on-Chip for Data Analytics and Machine Learning
Previously "Energy-Efficient Parallel Computing Systems for Data Analytics"
W6 credits4GL. Benini
227-0155-00LMachine Learning on Microcontrollers Restricted registration - show details
Number of participants limited to 40.
Registration in this class requires the permission of the instructors.
W6 credits3GM. Magno, L. Benini
227-0424-00LModel- and Learning-Based Inverse Problems in ImagingW4 credits2V + 1PV. Vishnevskiy
227-0432-00LLearning, Classification and Compression Information W4 credits2V + 1UE. Riegler
227-0436-00LDigital Communication and Signal Processing
Does not take place this semester.
W6 credits2V + 2UA. Wittneben
227-0478-00LAcoustics II Information W6 credits4GK. Heutschi, R. Pieren
227-0449-00LSeminar in Biomedical Image ComputingW1 credit2SE. Konukoglu, B. Menze, M. A. Reyes Aguirre
227-0558-00LPrinciples of Distributed Computing Information W7 credits2V + 2U + 2AR. Wattenhofer, M. Ghaffari
227-0560-00LDeep Learning for Autonomous Driving Information Restricted registration - show details
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 credits3V + 2PD. Dai, A. Liniger
227-0707-00LOptimization Methods for EngineersW3 credits2GJ. Smajic
227-0948-00LMagnetic Resonance Imaging in MedicineW4 credits3GS. Kozerke, M. Weiger Senften
227-0973-00LTranslational NeuromodelingW8 credits3V + 2U + 1AK. Stephan
227-1032-00LNeuromorphic Engineering II Information
Information for UZH students:
Enrolment to this course unit only possible at ETH. No enrolment to module INI405 at UZH.

Please mind the ETH enrolment deadlines for UZH students: Link
W6 credits5GT. Delbrück, G. Indiveri, S.‑C. Liu
151-0566-00LRecursive Estimation Information W4 credits2V + 1UR. D'Andrea
252-0526-00LStatistical Learning Theory Information W8 credits3V + 2U + 2AJ. M. Buhmann, C. Cotrini Jimenez
252-0579-00L3D Vision Information W5 credits3G + 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 credits2V + 2U + 1AG. Fourny
263-5300-00LGuarantees for Machine Learning Information Restricted registration - show details
Number of participants limited to 30.

Last cancellation/deregistration date for this graded semester performance: 17 March 2021! Please note that after that date no deregistration will be accepted and a "no show" will appear on your transcript.
W7 credits3G + 3AF. Yang
263-5904-00LDeep Learning for Computer Vision: Seminal Work Information Restricted registration - show details
Number of participants limited to 24.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
W2 credits2SI. Armeni
401-3052-05LGraph Theory Information W5 credits2V + 1UB. Sudakov
401-3052-10LGraph Theory Information W10 credits4V + 1UB. Sudakov
Electives
Courses from the ETH course catalogue may be chosen in agreement with your tutor.

As an alternative to the elective courses, students may do a second semester project or an internship in industry. Please consult your tutor.
Industrial Internship
NumberTitleTypeECTSHoursLecturers
227-1550-10LInternship in Industry Restricted registration - show details
Only for Electrical Engineering and Information Technology MSc (Programme Regulations 2018).
W12 creditsexternal organisers