Search result: Courses in Autumn Semester 2020

Computational Science and Engineering Master Information
Fields of Specialization
Systems and Control
NumberTitleTypeECTSHoursLecturers
151-0575-01LSignals and Systems Information W4 credits2V + 2U
151-0575-01 VSignals and Systems
The course will start in the 2nd week of the Semester.
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Thu14:00-16:00ON LI NE »
A. Carron
151-0575-01 USignals and Systems
The course will start in the 2nd week of the Semester.
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Thu16:00-18:00ON LI NE »
A. Carron
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
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
401-5850-00LSeminar in Systems and Control for CSEW4 credits2S
401-5850-00 SSeminar in Systems and Control for CSE2 hrsby appt.J. Lygeros
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
401-5860-00LSeminar in Robotics for CSEW4 credits2S
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 Link for further details.
2 hrsR. Siegwart
Physics
For the field of specialization `Physics' basic knowledge in quantum mechanics is required.
NumberTitleTypeECTSHoursLecturers
402-0809-00LIntroduction to Computational PhysicsW8 credits2V + 2U
402-0809-00 VIntroduction to Computational Physics
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Tue10:00-12:00ON LI NE »
A. Adelmann
402-0809-00 UIntroduction to Computational Physics2 hrs
Tue08:00-10:00ON LI NE »
A. Adelmann
402-0205-00LQuantum Mechanics I Information W10 credits3V + 2U
402-0205-00 VQuantenmechanik I
«Hybrid»
Studierende besuchen die Lehrveranstaltung alternierende eine Woche in Präsenz, die folgende Woche online.
Erste Unterrichtswoche Präsenz: Nachname beginnend mit «A» bis «L»
Erste Unterrichtswoche Online: Nachname beginnend mit «M» bis «Z»
danach alternierend.
3 hrs
Thu11:45-12:30HPV G 4 »
Sat09:45-11:30HPV G 4 »
G. M. Graf
402-0205-00 UQuantenmechanik I
Do 10-12 oder Do 16-18

Die Präsenzbelegung der Übungen wird über Moodle gesteuert.
2 hrs
Thu09:45-11:30HCI H 8.1 »
15:45-17:30HIL E 10.1 »
15:45-17:30HPK D 24.2 »
15:45-17:30HPV G 4 »
16:00-18:00ON LI NE »
G. M. Graf
402-0461-00LQuantum Information TheoryW8 credits3V + 1U
402-0461-00 VQuantum Information Theory
The lecturers will communicate the exact lesson times of ONLINE courses.
3 hrs
Wed11:00-13:00ON LI NE »
Thu14:00-15:00ON LI NE »
J. Renes
402-0461-00 UQuantum Information Theory1 hrs
Thu15:45-16:30HCI J 7 »
15:45-16:30HPV G 5 »
J. Renes
402-0777-00LParticle Accelerator Physics and Modeling IW6 credits2V + 1U
402-0777-00 VParticle Accelerator Physics and Modeling I2 hrs
Fri09:45-11:30HIT J 52 »
A. Adelmann
402-0777-00 UParticle Accelerator Physics and Modeling I1 hrs
Fri12:45-13:30HIT J 51 »
A. Adelmann
401-5810-00LSeminar in Physics for CSEW4 credits2S
401-5810-00 SSeminar in Physics for CSE2 hrsby appt.A. Adelmann
Computational Finance
NumberTitleTypeECTSHoursLecturers
401-3913-01LMathematical Foundations for Finance Information W4 credits3V + 2U
401-3913-01 VMathematical Foundations for Finance
**together with University of Zurich**
«Hybrid» Students in the Quantitative Finance MSc UZH/ETH programme can attend the lecture in the classroom HG E 7 in September and October. ONLINE for all students as of November.
The lecturers will communicate the exact lesson times of ONLINE courses.
URL for live streaming: Link
3 hrs
Tue08:00-10:00ON LI NE »
Thu13:00-14:00ON LI NE »
M. Schweizer
401-3913-01 UMathematical Foundations for Finance
Groups are selected in myStudies.
**together with University of Zurich**
Fri 8-10 or Fri 10-12
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Fri08:00-10:00ON LI NE »
08:00-10:00ON LI NE »
10:00-12:00ON LI NE »
M. Schweizer
401-4657-00LNumerical Analysis of Stochastic Ordinary Differential Equations Information Restricted registration - show details
Alternative course title: "Computational Methods for Quantitative Finance: Monte Carlo and Sampling Methods"
W6 credits3V + 1U
401-4657-00 VNumerical Analysis of Stochastic ODEs (Comp. Meth. Quant. Fin.: Monte Carlo and Sampling Methods)
The lecturers will communicate the exact lesson times of ONLINE courses
3 hrs
Mon16:00-18:00ON LI NE »
Wed14:00-15:00ON LI NE »
D. Salimova
401-4657-00 UNumerical Analysis of Stochastic ODEs (Comp. Meth. Quant. Fin.: Monte Carlo and Sampling Methods)
Groups are selected in myStudies.
Responsible lecturer: Dr. D. Salimova
The lecturers will communicate the exact lesson times of ONLINE courses.
1 hrs
Wed15:00-16:00ON LI NE »
15:00-16:00ON LI NE »
D. Salimova
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