Suchergebnis: Lehrveranstaltungen im Frühjahrssemester 2021

Maschineningenieurwissenschaften Master Information
Kernfächer
Robotics, Systems and Control
Die unter der Kategorie “Kernfächer” gelisteten Fächer sind empfohlen. Andere Kurse sind nicht ausgeschlossen, benötigen jedoch die Zustimmung des Tutors/der Tutorin.
NummerTitelTypECTSUmfangDozierende
151-0116-10LHigh Performance Computing for Science and Engineering (HPCSE) for Engineers II Information W4 KP4G
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 Std.
Mo10:15-12:00ML H 44 »
14:15-16:00ML H 44 »
P. Koumoutsakos, S. M. Martin
151-0310-00LModel Predictive Engine Control Belegung eingeschränkt - Details anzeigen
Number of participants limited to 55.
W4 KP2V + 1U
151-0310-00 VModel Predictive Engine Control2 Std.
Fr08:15-10:00ML F 38 »
T. Albin Rajasingham
151-0310-00 UModel Predictive Engine Control1 Std.
Fr12:15-13:00LFV E 41 »
T. Albin Rajasingham
151-0314-00LInformationstechnologien im digitalen ProduktW4 KP3G
151-0314-00 GInformationstechnologien im digitalen Produkt3 Std.
Mo10:15-13:00CLA E 4 »
E. Zwicker, R. Montau
151-0318-00LEcodesign - Umweltgerechte ProduktgestaltungW4 KP3G
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 Std.
Mo08:15-11:00LFV E 41 »
R. Züst
151-0530-00LNonlinear Dynamics and Chaos IIW4 KP4G
151-0530-00 GNonlinear Dynamics and Chaos II4 Std.
Di16:15-18:00ML J 34.1 »
Mi10:15-12:00ML J 34.3 »
G. Haller
151-0534-00LAdvanced DynamicsW4 KP3V + 1U
151-0534-00 VAdvanced Dynamics3 Std.
Di10:15-12:00CAB G 11 »
Mi10:15-11:00CAB G 11 »
P. Tiso
151-0534-00 UAdvanced Dynamics1 Std.
Mi11:15-12:00CAB G 11 »
P. Tiso
151-0566-00LRecursive Estimation Information W4 KP2V + 1U
151-0566-00 VRecursive Estimation
The lecture starts in the second week of the Semester.
2 Std.
Mi14:15-16:00HG F 1 »
R. D'Andrea
151-0566-00 URecursive Estimation
The exercise starts in the second week of the Semester.
1 Std.
Mi16:15-17:00HG F 1 »
R. D'Andrea
151-0593-00LEmbedded Control SystemsW4 KP6G
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 Std.
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 KP2V + 1U
151-0630-00 VNanorobotics2 Std.
Di10:15-12:00HG E 1.1 »
S. Pané Vidal
151-0630-00 UNanorobotics1 Std.
Do16:15-17:00HG E 1.1 »
S. Pané Vidal
151-0634-00LPerception and Learning for Robotics Belegung eingeschränkt - Details anzeigen
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 KP9A
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 Std.
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
151-0641-00LIntroduction to Robotics and Mechatronics Information Belegung eingeschränkt - Details anzeigen
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 KP2V + 2U
151-0641-00 VIntroduction to Robotics and Mechatronics
Bewilligung der Dozierenden für alle Studierenden notwendig.
2 Std.
Mo16:15-18:00ML F 38 »
B. Nelson, N. Shamsudhin
151-0641-00 UIntroduction to Robotics and Mechatronics
Bewilligung der Dozierenden für alle Studierenden notwendig.
The students will be informed about the choice of time slots for the exercise session during the enrollment process.
2 Std.B. Nelson, N. Shamsudhin
151-0660-00LModel Predictive Control Information W4 KP2V + 1U
151-0660-00 VModel Predictive Control2 Std.
Do08:15-10:00HG F 1 »
M. Zeilinger, A. Carron
151-0660-00 UModel Predictive Control1 Std.
Do10:15-11:00HG G 5 »
M. Zeilinger, A. Carron
151-0854-00LAutonomous Mobile Robots Information W5 KP4G
151-0854-00 GAutonomous Mobile Robots
Exercises take place fortnightly upon consultation on Tuesday at 14-16h.
4 Std.
Di10:15-12:00NO C 60 »
14:15-16:00HG F 1 »
R. Siegwart, M. Chli, N. Lawrance
151-9904-00LApplied Compositional Thinking for Engineers Information W4 KP3G
151-9904-00 GApplied Compositional Thinking for Engineers3 Std.
Mo12:15-14:00ML F 39 »
Mi12:15-13:00ML F 39 »
E. Frazzoli, A. Censi, J. Lorand
151-1115-00LAusgewählte Kapitel der FlugtechnikW4 KP3G
151-1115-00 GAusgewählte Kapitel der Flugtechnik3 Std.
Do16:15-19:00ML F 39 »
J. Wildi
101-0521-10LMachine Learning for Predictive Maintenance Applications Belegung eingeschränkt - Details anzeigen
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 KP4G
101-0521-10 GMachine Learning for Predictive Maintenance Applications4 Std.
Di09:45-11:30HIL C 10.2 »
Do13:45-15:30HIL C 10.2 »
18.06.14:15-18:00LEE E 101 »
O. Fink
103-0848-00LIndustrial Metrology and Machine Vision Belegung eingeschränkt - Details anzeigen
Number of participants limited to 30.
W4 KP3G
103-0848-00 GIndustrial Metrology and Machine Vision3 Std.
Mi08:50-11:30HIL D 53 »
K. Schindler, D. Salido Monzú
227-0216-00LControl Systems II Information W6 KP4G
227-0216-00 GControl Systems II4 Std.
Mi08:15-12:00HG E 1.2 »
R. Smith
227-0224-00LStochastic SystemsW4 KP2V + 1U
227-0224-00 VStochastic Systems
Findet dieses Semester nicht statt.
Will be offered again in 2022.
2 Std.Noch nicht bekannt
227-0224-00 UStochastic Systems
Findet dieses Semester nicht statt.
Will be offered again in 2022.
1 Std.Noch nicht bekannt
252-0220-00LIntroduction to Machine Learning Information Belegung eingeschränkt - Details anzeigen
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 KP4V + 2U + 1A
252-0220-00 VIntroduction to Machine Learning
Findet im ETA F 5 mit Videoübertragung ins ETF E 1 statt
4 Std.
Di14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
Mi14:15-16:00ETA 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 Std.
Fr14:15-16:00ML D 28 »
A. Krause, F. Yang
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 Std.A. Krause, F. Yang
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