Search result: Courses in Autumn Semester 2020

Computational Science and Engineering Bachelor Information
For All Programme Regulations
Fields of Specialization
Robotics
Only one of the two course units
263-5902-00L Computer Vision resp.
227-0447-00L Image Analysis and Computer Vision
may be recognised for credits. More precisely, it is also not allowed to have recognised one course unit for the Bachelor's and the other course unit for the Master's degree.
NumberTitleTypeECTSHoursLecturers
151-0601-00LTheory of Robotics and Mechatronics Information W4 credits3G
151-0601-00 GTheory of Robotics and Mechatronics3 hrs
Tue08:15-11:00CAB G 61 »
P. Korba, S. Stoeter
252-0535-00LAdvanced Machine Learning Information W10 credits3V + 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 hrs
Thu15:15-16:00ETA F 5 »
Fri08:15-10:00ETA F 5 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 UAdvanced Machine Learning2 hrs
Wed14:15-16:00CAB G 61 »
16:15-18:00CAB G 61 »
Thu16:15-18:00ML F 34 »
Fri14:15-16:00CAB G 61 »
J. M. Buhmann, C. Cotrini Jimenez
252-0535-00 AAdvanced Machine Learning
Project Work, no fixed presence required.
4 hrsJ. M. Buhmann, C. Cotrini Jimenez
263-3210-00LDeep Learning Information Restricted registration - show details W8 credits3V + 2U + 2A
263-3210-00 VDeep Learning
The lecturers will communicate the exact lesson times from «online» courses.
3 hrs
Wed13:00-14:00ON LI NE »
Thu14:00-16:00ON LI NE »
T. Hofmann
263-3210-00 UDeep Learning2 hrs
Mon16:15-18:00NO C 60 »
Wed16:15-18:00ML F 36 »
T. Hofmann
263-3210-00 ADeep Learning2 hrsT. Hofmann
263-5210-00LProbabilistic Artificial Intelligence Information Restricted registration - show details W8 credits3V + 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 hrs
Fri10:15-12:00ETA F 5 »
13:15-14:00ETA F 5 »
A. Krause
263-5210-00 UProbabilistic Artificial Intelligence2 hrs
Thu16:00-18:00ON LI NE »
A. Krause
263-5210-00 AProbabilistic Artificial Intelligence2 hrsA. Krause
263-5902-00LComputer Vision Information W8 credits3V + 1U + 3A
263-5902-00 VComputer Vision
The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Wed13:00-16:00ON LI NE »
M. Pollefeys, S. Tang, V. Ferrari
263-5902-00 UComputer Vision1 hrs
Thu13:15-14:00CAB G 51 »
Fri13:15-14:00CAB G 51 »
M. Pollefeys, S. Tang, V. Ferrari
263-5902-00 AComputer Vision3 hrsM. Pollefeys, S. Tang, V. Ferrari
227-0447-00LImage Analysis and Computer Vision Information W6 credits3V + 1U
227-0447-00 VImage Analysis and Computer Vision
The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Thu14:00-17:00ON 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 hrs
Thu17:00-18:00ON LI NE »
L. Van Gool, E. Konukoglu
151-0563-01LDynamic Programming and Optimal Control Information W4 credits2V + 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 hrs
Wed14:00-16:00ON 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 hrs
Wed16:00-17:00ON LI NE »
R. D'Andrea
151-0851-00LRobot Dynamics Information Restricted registration - show details W4 credits2V + 2U
151-0851-00 VRobot Dynamics Special students and auditors need a special permission from the lecturers.
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Tue10:00-12:00ON LI NE »
M. Hutter, R. Siegwart
151-0851-00 URobot Dynamics Special students and auditors need a special permission from the lecturers.2 hrs
Wed08:15-10:00HG G 5 »
08:15-10:00IFW A 36 »
M. Hutter, R. Siegwart
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