Search result: Courses in Spring Semester 2021

Robotics, Systems and Control Master Information
Core Courses
NumberTitleTypeECTSHoursLecturers
151-0116-10LHigh Performance Computing for Science and Engineering (HPCSE) for Engineers II Information W4 credits4G
151-0116-00 GHigh Performance Computing for Science and Engineering (HPCSE) II
Lecture: 14-16h
Exercises: 10-12h. The exercises begin in the second week of the semester.
4 hrs
Mon10:15-12:00ML H 44 »
14:15-16:00ML H 44 »
P. Koumoutsakos, S. M. Martin
151-0306-00LVisualization, Simulation and Interaction - Virtual Reality I Information W4 credits4G
151-0306-00 GVisualization, Simulation and Interaction - Virtual Reality I
Start in the second week of the Semester.
4 hrs
Thu14:15-18:00ML H 44 »
A. Kunz
151-0534-00LAdvanced DynamicsW4 credits3V + 1U
151-0534-00 VAdvanced Dynamics3 hrs
Tue10:15-12:00CAB G 11 »
Wed10:15-11:00CAB G 11 »
P. Tiso
151-0534-00 UAdvanced Dynamics1 hrs
Wed11:15-12:00CAB G 11 »
P. Tiso
151-0566-00LRecursive Estimation Information W4 credits2V + 1U
151-0566-00 VRecursive Estimation
The lecture starts in the second week of the Semester.
2 hrs
Wed14:15-16:00HG F 1 »
R. D'Andrea
151-0566-00 URecursive Estimation
The exercise starts in the second week of the Semester.
1 hrs
Wed16:15-17:00HG F 1 »
R. D'Andrea
151-0593-00LEmbedded Control SystemsW4 credits6G
151-0593-00 GEmbedded Control Systems
This two-week block course is offered every Autumn Semester but will take place daily (15-19.02.2021 & 22-26.02.2021) in Spring Semester 2021 as an exception.
80s hrs
15.02. - 19.02.08:15-18:00ML H 41.1 »
22.02. - 26.02.08:15-18:00LEE E 308 »
J. S. Freudenberg, M. Schmid Daners
151-0630-00LNanorobotics Information W4 credits2V + 1U
151-0630-00 VNanorobotics2 hrs
Tue10:15-12:00HG E 1.1 »
S. Pané Vidal
151-0630-00 UNanorobotics1 hrs
Thu16:15-17:00HG E 1.1 »
S. Pané Vidal
151-0634-00LPerception and Learning for Robotics Restricted registration - show details
Number of participants limited to: 30

To apply for the course please create a CV in pdf of max. 2 pages, including your machine learning and/or robotics experience. Please send the pdf to Link for approval.
W4 credits9A
151-0634-00 APerception and Learning for Robotics
The lectures take place during the first two weeks of the Semester. The venue will be announced later.
120s hrs
22.02.14:00-16:00ON LI NE »
24.02.14:00-16:00ON LI NE »
26.02.14:00-16:00ON LI NE »
01.03.14:00-16:00ON LI NE »
03.03.14:00-16:00ON LI NE »
05.03.14:00-16:00ON LI NE »
C. D. Cadena Lerma, J. J. Chung
151-0636-00LSoft and Biohybrid Robotics Information Restricted registration - show details W4 credits3G
151-0636-00 GSoft and Biohybrid Robotics
Starting from 03.05.21 all the classes will be held at HG D7.1.
3 hrs
Mon10:15-12:00ETZ E 7 »
10:15-12:00HG D 7.1 »
Thu13:15-14:00HG D 7.1 »
13:15-14:00HG E 33.3 »
R. Katzschmann
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 + 2U
151-0641-00 VIntroduction to Robotics and Mechatronics
Permission from lecturers required for all students.
2 hrs
Mon16:15-18:00ML F 38 »
B. Nelson, N. Shamsudhin
151-0641-00 UIntroduction to Robotics and Mechatronics
Permission from lecturers required for all students.
The students will be informed about the choice of time slots for the exercise session during the enrollment process.
2 hrsB. Nelson, N. Shamsudhin
151-0660-00LModel Predictive Control Information W4 credits2V + 1U
151-0660-00 VModel Predictive Control2 hrs
Thu08:15-10:00HG F 1 »
M. Zeilinger, A. Carron
151-0660-00 UModel Predictive Control1 hrs
Thu10:15-11:00HG G 5 »
M. Zeilinger, A. Carron
151-0854-00LAutonomous Mobile Robots Information W5 credits4G
151-0854-00 GAutonomous Mobile Robots
Exercises take place fortnightly upon consultation on Tuesday at 14-16h.
4 hrs
Tue10:15-12:00NO C 60 »
14:15-16:00HG F 1 »
R. Siegwart, M. Chli, N. Lawrance
151-9904-00LApplied Compositional Thinking for Engineers Information W4 credits3G
151-9904-00 GApplied Compositional Thinking for Engineers3 hrs
Mon12:15-14:00ML F 39 »
Wed12:15-13:00ML F 39 »
E. Frazzoli, A. Censi, J. Lorand
151-1115-00LAircraft Aerodynamics and Flight MechanicsW4 credits3G
151-1115-00 GAusgewählte Kapitel der Flugtechnik3 hrs
Thu16:15-19:00ML F 39 »
J. Wildi
101-0521-10LMachine Learning for Predictive Maintenance Applications Restricted registration - show details
The number of participants in the course is limited to 25 students.

Students interested in attending the lecture are requested to upload their transcript and a short motivation responding the following two questions (max. 200 words):
-How does this course fit to the other courses you have attended so far?
-How does the course support you in achieving your goal?
The following link can be used to upload the documents.
Link
W8 credits4G
101-0521-10 GMachine Learning for Predictive Maintenance Applications4 hrs
Tue09:45-11:30HIL C 10.2 »
Thu13:45-15:30HIL C 10.2 »
18.06.14:15-18:00LEE E 101 »
O. Fink
103-0848-00LIndustrial Metrology and Machine Vision Restricted registration - show details
Number of participants limited to 30.
W4 credits3G
103-0848-00 GIndustrial Metrology and Machine Vision3 hrs
Wed08:50-11:30HIL D 53 »
K. Schindler, D. Salido Monzú
227-0207-00LNonlinear Systems and Control Information
Prerequisite: Control Systems (227-0103-00L)
W6 credits4G
227-0207-00 GNonlinear Systems and Control4 hrs
Fri12:15-16:00ML E 12 »
E. Gallestey Alvarez, P. F. Al Hokayem
227-0216-00LControl Systems II Information W6 credits4G
227-0216-00 GControl Systems II4 hrs
Wed08:15-12:00HG E 1.2 »
R. Smith
227-0224-00LStochastic SystemsW4 credits2V + 1U
227-0224-00 VStochastic Systems
Does not take place this semester.
Will be offered again in 2022.
2 hrsto be announced
227-0224-00 UStochastic Systems
Does not take place this semester.
Will be offered again in 2022.
1 hrsto be announced
227-0248-00LPower Electronic Systems II Information W6 credits4G
227-0248-00 GPower Electronic Systems II4 hrs
Tue14:15-18:00ETF C 1 »
J. W. Kolar
227-0518-10LDesign and Control of Electric MachinesW6 credits4G
227-0518-10 GDesign and Control of Electric Machines4 hrs
Thu08:15-12:00HG E 21 »
D. Bortis
227-0528-00LPower System Dynamics, Control and Operation Information W6 credits4G
227-0528-00 GPower System Dynamics, Control and Operation4 hrs
Tue08:15-12:00ETZ E 8 »
G. Hug
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 + 2P
227-0560-00 VDeep Learning for Autonomous Driving Special students and auditors need a special permission from the lecturers.
Permission from lecturers required for all students.
3 hrs
Fri13:15-16:00LFO C 13 »
D. Dai, A. Liniger
227-0560-00 PDeep Learning for Autonomous Driving Special students and auditors need a special permission from the lecturers.
Permission from lecturers required for all students.
2 hrs
Fri10:15-12:00ETZ D 61.1 »
10:15-12:00ETZ D 61.2 »
D. Dai, A. Liniger
227-0694-00LGame Theory and ControlW4 credits2V + 2U
227-0694-00 VGame Theory and Control2 hrs
Thu16:15-18:00NO C 60 »
S. Bolognani
227-0694-00 UGame Theory and Control2 hrs
Tue14:15-16:00ML H 41.1 »
S. Bolognani
227-0696-00LPredictive Control of Power Electronics SystemsW6 credits2V + 2U
227-0696-00 VPredictive Control of Power Electronics Systems2 hrs
Mon14:15-16:00LFW C 1 »
T. Geyer
227-0696-00 UPredictive Control of Power Electronics Systems2 hrs
Mon16:15-18:00ETZ D 61.1 »
16:15-18:00LFW C 1 »
T. Geyer
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 + 1A
252-0220-00 VIntroduction to Machine Learning
Findet im ETA F 5 mit Videoübertragung ins ETF E 1 statt
4 hrs
Tue14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
Wed14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
A. Krause, F. Yang
252-0220-00 UIntroduction to Machine Learning
Q&A session Wed 16-17
2 hrs
Fri14:15-16:00ML D 28 »
A. Krause, F. Yang
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 hrsA. Krause, F. Yang
252-0312-00LUbiquitous Computing Information W6 credits2V + 3A
252-0312-00 VUbiquitous Computing2 hrs
Mon14:15-16:00CAB G 11 »
C. Holz
252-0312-00 AUbiquitous Computing3 hrsC. Holz
252-0526-00LStatistical Learning Theory Information W8 credits3V + 2U + 2A
252-0526-00 VStatistical Learning Theory3 hrs
Mon14:15-16:00HG G 3 »
Tue17:15-18:00HG F 5 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 UStatistical Learning Theory2 hrs
Mon16:15-18:00HG G 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 AStatistical Learning Theory2 hrsJ. M. Buhmann, C. Cotrini Jimenez
252-0579-00L3D Vision Information W5 credits3G + 1A
252-0579-00 G3D Vision3 hrs
Mon09:15-12:00CAB G 51 »
M. Pollefeys, V. Larsson
252-0579-00 A3D Vision1 hrsM. Pollefeys, V. Larsson
263-5806-00LComputational Models of Motion Information W8 credits2V + 2U + 3A
263-5806-00 VComputational Models of Motion2 hrs
Wed14:15-16:00HG E 1.2 »
S. Coros, M. Bächer, B. Thomaszewski
263-5806-00 UComputational Models of Motion2 hrs
Thu16:15-18:00ML F 40 »
S. Coros, M. Bächer, B. Thomaszewski
263-5806-00 AComputational Models of Motion3 hrsS. Coros, M. Bächer, B. Thomaszewski
376-1217-00LRehabilitation Engineering I: Motor FunctionsW4 credits2V + 1U
376-1217-00 VRehabilitation Engineering I: Motor Functions2 hrs
Tue08:15-10:00HG E 1.2 »
S. Raspopovic, M. Xiloyannis
376-1217-00 URehabilitation Engineering I: Motor Functions1 hrs
Fri08:15-09:00HG E 1.1 »
S. Raspopovic, M. Xiloyannis
227-0690-12LAdvanced Topics in Control (Spring 2021)
New topics are introduced every year.
W4 credits2V + 2U
227-0690-12 VAdvanced Topics in Control (Spring 2021)2 hrs
Mon16:15-18:00HG D 1.1 »
F. Dörfler, M. Hudoba de Badyn, W. Mei
227-0690-12 UAdvanced Topics in Control (Spring 2021)2 hrs
Fri10:15-12:00ML H 44 »
F. Dörfler, M. Hudoba de Badyn, W. Mei
Multidisciplinary Courses
NumberTitleTypeECTSHoursLecturers
» Any courses offered by the Departments of MAVT, ITET or INFK. Your tutor must agree to this choice.
151-9062-00LRobotics Summer School Restricted registration - show details
Number of participants limited to 30.

Students need to apply here: Link
W1 credit2S
151-9062-00 SRobotics Summer School Special students and auditors need a special permission from the lecturers.
Permission from lecturers required for all students.
30s hrsC. D. Cadena Lerma, M. Chli, M. Hutter
GESS Science in Perspective
» see Science in Perspective: Type A: Enhancement of Reflection Capability
» Recommended Science in Perspective (Type B) for D-MAVT
» see Science in Perspective: Language Courses ETH/UZH
Semester Project
NumberTitleTypeECTSHoursLecturers
151-1014-00LSemester Project Robotics, Systems and Control Restricted registration - show details
Only for Robotics, Systems and Control MSc.

The subject of the Semester Project and the choice of the supervisor (ETH-professor) are to be approved in advance by the tutor.
O8 credits17A
151-1014-00 ASemester Project Robotics, Systems and Control240s hrsby appt.Professors
Industrial Internship
NumberTitleTypeECTSHoursLecturers
151-1090-00LIndustrial Internship
Access to the company list and request for recognition under Link.

No registration required via myStudies.
O8 credits
151-1090-00 PIndustrial Internshipexternal organisers
Master's Thesis
NumberTitleTypeECTSHoursLecturers
151-1016-00LMaster's Thesis Robotics, Systems and Control Restricted registration - show details
Students who fulfill the following criteria are allowed to begin with their Master's Thesis:
a. successful completion of the bachelor program;
b. fulfilling of any additional requirements necessary to gain admission to the master programme;
c. successful completion of the semester project;
d. achievement of 28 ECTS in the category "Core Courses".

The Master's Thesis must be approved in advance by the tutor and is supervised by a professor of ETH Zurich or an adjunct faculty of RSC.
To choose a titular professor as a supervisor, please contact the D-MAVT Student Administration.
O30 credits64D
151-1016-00 DMaster's Thesis Robotics, Systems and Control Special students and auditors need a special permission from the lecturers.900s hrsby appt.Professors