Suchergebnis: Lehrveranstaltungen im Herbstsemester 2020

Rechnergestützte Wissenschaften Master Information
Vertiefungsgebiete
Robotik
Höchstens eine der beiden Lerneinheiten
263-5902-00L Computer Vision bzw.
227-0447-00L Image Analysis and Computer Vision
darf an das gesamte Studium (Bachelor und Master) angerechnet werden.
NummerTitelTypECTSUmfangDozierende
151-0601-00LTheory of Robotics and Mechatronics Information W4 KP3G
151-0601-00 GTheory of Robotics and Mechatronics3 Std.
Di08:15-11:00CAB G 61 »
P. Korba, S. Stoeter
252-0535-00LAdvanced Machine Learning Information W10 KP3V + 2U + 4A
252-0535-00 VAdvanced Machine Learning
The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality.
3 Std.
Do15:15-16:00ETA F 5 »
Fr08:15-10:00ETA F 5 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 UAdvanced Machine Learning2 Std.
Mi14:15-16:00CAB G 61 »
16:15-18:00CAB G 61 »
Do16:15-18:00ML F 34 »
Fr14:15-16:00CAB G 61 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
4 Std.J. M. Buhmann, C. Cotrini Jimenez
263-3210-00LDeep Learning Information Belegung eingeschränkt - Details anzeigen W8 KP3V + 2U + 2A
263-3210-00 VDeep Learning
The lecturers will communicate the exact lesson times from «online» courses.
3 Std.
Mi13:00-14:00ON LI NE »
Do14:00-16:00ON LI NE »
T. Hofmann
263-3210-00 UDeep Learning2 Std.
Mo16:15-18:00NO C 60 »
Mi16:15-18:00ML F 36 »
T. Hofmann
263-3210-00 ADeep Learning2 Std.T. Hofmann
263-5210-00LProbabilistic Artificial Intelligence Information Belegung eingeschränkt - Details anzeigen W8 KP3V + 2U + 2A
263-5210-00 VProbabilistic Artificial Intelligence
The lectures will mostly be given in a lecture hall with limited attendance (at most 50% of lecture hall capacity). It will be possible to join remotely via zoom with acccess to slides, whiteboard, and speaker camera. Students can interact, e.g. ask questions, physically as well as digitally. The lectures will be recorded via zoom’s recording functionality.
3 Std.
Fr10:15-12:00ETA F 5 »
13:15-14:00ETA F 5 »
A. Krause
263-5210-00 UProbabilistic Artificial Intelligence2 Std.
Do16:00-18:00ON LI NE »
A. Krause
263-5210-00 AProbabilistic Artificial Intelligence2 Std.A. Krause
263-5902-00LComputer Vision Information W8 KP3V + 1U + 3A
263-5902-00 VComputer Vision
The lecturers will communicate the exact lesson times of ONLINE courses.
3 Std.
Mi13:00-16:00ON LI NE »
M. Pollefeys, S. Tang, V. Ferrari
263-5902-00 UComputer Vision1 Std.
Do13:15-14:00CAB G 51 »
Fr13:15-14:00CAB G 51 »
M. Pollefeys, S. Tang, V. Ferrari
263-5902-00 AComputer Vision3 Std.M. Pollefeys, S. Tang, V. Ferrari
227-0447-00LImage Analysis and Computer Vision Information W6 KP3V + 1U
227-0447-00 VImage Analysis and Computer Vision
The lecturers will communicate the exact lesson times of ONLINE courses.
3 Std.
Do14:00-17:00ON LI NE »
L. Van Gool, E. Konukoglu, F. Yu
227-0447-00 UImage Analysis and Computer Vision
The lecturers will communicate the exact lesson times of ONLINE courses.
1 Std.
Do17:00-18:00ON LI NE »
L. Van Gool, E. Konukoglu
151-0563-01LDynamic Programming and Optimal Control Information W4 KP2V + 1U
151-0563-01 VDynamic Programming and Optimal Control
The lecture will start in the 2nd week of Semester.
The lecturers will communicate the exact lesson times of ONLINE courses.
2 Std.
Mi14:00-16:00ON LI NE »
R. D'Andrea
151-0563-01 UDynamic Programming and Optimal Control
The exercise will start in the 2nd week of Semester.
The lecturers will communicate the exact lesson times of ONLINE courses.
1 Std.
Mi16:00-17:00ON LI NE »
R. D'Andrea
151-0851-00LRobot Dynamics Information Belegung eingeschränkt - Details anzeigen W4 KP2V + 2U
151-0851-00 VRobot Dynamics Für Fachstudierende und Hörer/-innen ist eine Spezialbewilligung der Dozierenden notwendig.
The lecturers will communicate the exact lesson times of ONLINE courses.
2 Std.
Di10:00-12:00ON LI NE »
M. Hutter, R. Siegwart
151-0851-00 URobot Dynamics Für Fachstudierende und Hörer/-innen ist eine Spezialbewilligung der Dozierenden notwendig.2 Std.
Mi08:15-10:00HG G 5 »
08:15-10:00IFW A 36 »
M. Hutter, R. Siegwart
401-5860-00LSeminar in Robotics for CSEW4 KP2S
401-5860-00 SSeminar in Robotics for CSE
The study plan will be discussed individually. Please contact the responsible lecturer if you are interested in this course, see https://asl.ethz.ch/education/cse-robotics.html for further details.
2 Std.R. Siegwart
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