Search result: Courses in Spring Semester 2021

Mechanical Engineering Master Information
Core Courses
Robotics, Systems and Control
The courses listed in this category “Core Courses” are recommended. Alternative courses can be chosen in agreement with the tutor.
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
Mon10-12ML H 44 »
14-16ML H 44 »
P. Koumoutsakos, S. M. Martin
151-0310-00LModel Predictive Engine Control Restricted registration - show details
Number of participants limited to 55.
W4 credits2V + 1U
151-0310-00 VModel Predictive Engine Control2 hrs
Fri08-10ML F 38 »
T. Albin Rajasingham
151-0310-00 UModel Predictive Engine Control1 hrs
Fri12-13LFV E 41 »
T. Albin Rajasingham
151-0314-00LInformation Technologies in the Digital ProductW4 credits3G
151-0314-00 GInformationstechnologien im digitalen Produkt3 hrs
Mon10-13CLA E 4 »
E. Zwicker, R. Montau
151-0318-00LEcodesign - Environmental-Oriented Product DevelopmentW4 credits3G
151-0318-00 GEcodesign - Umweltgerechte Produktgestaltung
This course will be taught in a hybrid of online and face-to-face classroom formats; students will be informed who can attend the class on campus or should join the live streaming class.
3 hrs
Mon08-11LFV E 41 »
R. Züst
151-0530-00LNonlinear Dynamics and Chaos IIW4 credits4G
151-0530-00 GNonlinear Dynamics and Chaos II4 hrs
Tue16-18ML J 34.1 »
Wed10-12ML J 34.3 »
G. Haller
151-0534-00LAdvanced DynamicsW4 credits3V + 1U
151-0534-00 VAdvanced Dynamics3 hrs
Tue10-12CAB G 11 »
Wed10-11CAB G 11 »
P. Tiso
151-0534-00 UAdvanced Dynamics1 hrs
Wed11-12CAB 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
Wed14-16HG F 1 »
R. D'Andrea
151-0566-00 URecursive Estimation
The exercise starts in the second week of the Semester.
1 hrs
Wed16-17HG 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. - 19.02.08-18ML H 41.1 »
22.02. - 26.02.08-18LEE E 308 »
J. S. Freudenberg, M. Schmid Daners
151-0630-00LNanorobotics Information W4 credits2V + 1U
151-0630-00 VNanorobotics2 hrs
Tue10-12HG E 1.1 »
S. Pané Vidal
151-0630-00 UNanorobotics1 hrs
Thu16-17HG 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 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
22.02.14-16ON LI NE »
24.02.14-16ON LI NE »
26.02.14-16ON LI NE »
01.03.14-16ON LI NE »
03.03.14-16ON LI NE »
05.03.14-16ON LI NE »
C. D. Cadena Lerma, J. J. Chung
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 ( 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
Mon16-18ML 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
Thu08-10HG F 1 »
M. Zeilinger, A. Carron
151-0660-00 UModel Predictive Control1 hrs
Thu10-11HG 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
Tue10-12NO C 60 »
14-16HG 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
Mon12-14ML F 39 »
Wed12-13ML F 39 »
E. Frazzoli, A. Censi, J. Lorand
151-1115-00LAircraft Aerodynamics and Flight MechanicsW4 credits3G
151-1115-00 GAusgewählte Kapitel der Flugtechnik3 hrs
Thu16-19ML 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.
W8 credits4G
101-0521-10 GMachine Learning for Predictive Maintenance Applications4 hrs
Tue10-12HIL C 10.2 »
Thu14-16HIL C 10.2 »
18.06.14-18LEE 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
Wed09-12HIL D 53 »
K. Schindler, D. Salido Monzú
227-0216-00LControl Systems II Information W6 credits4G
227-0216-00 GControl Systems II4 hrs
Wed08-12HG 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
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
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
Tue14-16ETA F 5 »
14-16ETF E 1 »
Wed14-16ETA F 5 »
14-16ETF E 1 »
A. Krause, F. Yang
252-0220-00 UIntroduction to Machine Learning
Q&A session Wed 16-17
2 hrs
Fri14-16ML D 28 »
A. Krause, F. Yang
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 hrsA. Krause, F. Yang
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