Suchergebnis: Lehrveranstaltungen im Frühjahrssemester 2020

Maschineningenieurwissenschaften Master Information
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.
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.
Mo10:15-13:00HG D 5.1 »
20.04.10:15-12:00HG D 5.1 »
E. Zwicker, R. Montau
151-0318-00LEcodesign - Umweltgerechte ProduktgestaltungW4 KP3G
151-0318-00 GEcodesign - Umweltgerechte Produktgestaltung3 Std.
Mo08:15-10:00HG E 33.1 »
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.
Di10:00-12:00ER SA TZ »
10:15-12:00CAB G 11 »
Mi10:00-11:00ER SA TZ »
10:15-11:00CAB G 11 »
P. Tiso
151-0534-00 UAdvanced Dynamics1 Std.
Mi11:00-12:00ER SA TZ »
11:15-12:00CAB 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.
Mi13:00-15:00ER SA TZ »
13:15-15:00HG F 1 »
R. D'Andrea
151-0566-00 URecursive Estimation
The exercise starts in the second week of the Semester.
1 Std.
Mi15:00-16:00ER SA TZ »
15:15-16:00HG F 1 »
R. D'Andrea
151-0630-00LNanorobotics Information W4 KP2V + 1U
151-0630-00 VNanorobotics2 Std.
Di10:00-12:00ER SA TZ »
10:15-12:00HG D 1.2 »
S. Pané Vidal
151-0630-00 UNanorobotics1 Std.
Do15:00-16:00ER SA TZ »
15:15-16:00HG D 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.
151-0634-00 APerception and Learning for Robotics
The lectures take place on the following days in the 2nd week of the Semester:

- Monday 24.02.2020 at 14-18
- Wednesday 26.02.2020 at 14-18
- Friday 28.02.2020 at 14-18

The venue will be announced later.
120s Std.
24.02.14:15-18:00LEE C 114 »
26.02.14:15-18:00HG F 26.3 »
28.02.14:15-18:00LEE C 114 »
C. D. Cadena Lerma, J. J. Chung
151-0641-00LIntroduction to Robotics and Mechatronics Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 60.

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.
A choice of four different time slots is arranged for the exercise session in a goup room.
The students will be informed about it 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.
Do09:00-11:00ER SA TZ »
09:15-11:00HG G 5 »
M. Zeilinger
151-0660-00 UModel Predictive Control1 Std.
Do11:00-12:00ER SA TZ »
11:15-12:00HG G 5 »
M. Zeilinger
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
151-1115-00LAusgewählte Kapitel der FlugtechnikW4 KP3G
151-1115-00 GAusgewählte Kapitel der Flugtechnik3 Std.
Do15:15-18:00HG D 1.2 »
J. Wildi
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: 13-15h
Exercises: 10-12h
The exercises begin in the second week of the semester.
4 Std.
Mo10:00-12:00ER SA TZ »
10:15-12:00ML H 44 »
13:00-15:00ER SA TZ »
13:15-15:00ML H 44 »
P. Koumoutsakos, S. M. Martin
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.
101-0521-10 GMachine Learning for Predictive Maintenance Applications4 Std.
Di09:45-11:30HIL C 10.2 »
10:00-12:00ER SA TZ »
Do12:45-14:30HIL C 10.2 »
13:00-15:00ER SA TZ »
O. Fink
103-0848-00LIndustrial Metrology and Machine Vision Belegung eingeschränkt - Details anzeigen
Number of participants limited to 30.
103-0848-00 GIndustrial Metrology and Machine Vision3 Std.
Mi08:50-11:30HIL D 53 »
K. Schindler, A. Wieser
227-0216-00LControl Systems II Information W6 KP4G
227-0216-00 GControl Systems II4 Std.
Mi08:00-12:00ER SA TZ »
08:15-12:00HG E 1.2 »
R. Smith
227-0224-00LStochastic SystemsW4 KP2V + 1U
227-0224-00 VStochastic Systems2 Std.
Di10:15-12:00ML F 38 »
F. Herzog
227-0224-00 UStochastic Systems1 Std.
Di12:15-13:00ML F 38 »
F. Herzog
227-0690-11LAdvanced Topics in Control (Spring 2020)
New topics are introduced every year.
W4 KP2V + 2U
227-0690-11 VAdvanced Topics in Control (Spring 2020)2 Std.
Di16:15-18:00HG F 1 »
G. Banjac
227-0690-11 UAdvanced Topics in Control (Spring 2020)2 Std.
Fr10:15-12:00CAB G 61 »
G. Banjac
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
FS20 CORONA: Keine Aufzeichnung / 17.03.20 rb
4 Std.
Di13:00-15:00ER SA TZ »
13:15-15:00ETA F 5 »
13:15-15:00ETF E 1 »
Mi13:00-15:00ER SA TZ »
13:15-15:00ETA F 5 »
13:15-15:00ETF E 1 »
A. Krause
252-0220-00 UIntroduction to Machine Learning2 Std.
Mi15:00-17:00ER SA TZ »
15:15-17:00CAB G 61 »
17:00-19:00ER SA TZ »
17:15-19:00CAB G 61 »
Fr13:00-15:00ER SA TZ »
13:15-15:00ML D 28 »
A. Krause
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 Std.A. Krause
252-0526-00LStatistical Learning Theory Information W7 KP3V + 2U + 1A
252-0526-00 VStatistical Learning Theory3 Std.
Mo14:00-16:00ER SA TZ »
14:15-16:00HG G 3 »
Di17:00-18:00ER SA TZ »
17:15-18:00HG G 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 UStatistical Learning Theory2 Std.
Mo16:00-18:00ER SA TZ »
16:15-18:00HG G 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 AStatistical Learning Theory1 Std.J. M. Buhmann, C. Cotrini Jimenez
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