Search result: Courses in Spring Semester 2021

Computational Science and Engineering Master Information
Fields of Specialization
Robotics
NumberTitleTypeECTSHoursLecturers
151-0854-00LAutonomous Mobile Robots Information W5 credits4G
151-0854-00 GAutonomous Mobile Robots
Exercises take place fortnightly upon consultation on Tuesday at 14-16h.
4 hrs
Tue10:15-12:00NO C 60 »
14:15-16:00HG F 1 »
R. Siegwart, M. Chli, N. Lawrance
151-0566-00LRecursive Estimation Information W4 credits2V + 1U
151-0566-00 VRecursive Estimation
The lecture starts in the second week of the Semester.
2 hrs
Wed14:15-16:00HG F 1 »
R. D'Andrea
151-0566-00 URecursive Estimation
The exercise starts in the second week of the Semester.
1 hrs
Wed16:15-17:00HG F 1 »
R. D'Andrea
151-0636-00LSoft and Biohybrid Robotics Information Restricted registration - show details W4 credits3G
151-0636-00 GSoft and Biohybrid Robotics
Starting from 03.05.21 all the classes will be held at HG D7.1.
3 hrs
Mon10:15-12:00ETZ E 7 »
10:15-12:00HG D 7.1 »
Thu13:15-14:00HG D 7.1 »
13:15-14:00HG E 33.3 »
R. Katzschmann
252-0579-00L3D Vision Information W5 credits3G + 1A
252-0579-00 G3D Vision3 hrs
Mon09:15-12:00CAB G 51 »
M. Pollefeys, V. Larsson
252-0579-00 A3D Vision1 hrsM. Pollefeys, V. Larsson
252-0220-00LIntroduction to Machine Learning Information Restricted registration - show details
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 credits4V + 2U + 1A
252-0220-00 VIntroduction to Machine Learning
Findet im ETA F 5 mit Videoübertragung ins ETF E 1 statt
4 hrs
Tue14:15-16:00ETA F 5 »
14:15-16:00ETF E 1 »
Wed14:15-16:00ETA 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 hrs
Fri14:15-16:00ML D 28 »
A. Krause, F. Yang
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 hrsA. Krause, F. Yang
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 hrsE. Konukoglu, R. Siegwart
Physics
For the field of specialization `Physics' basic knowledge in quantum mechanics is required.
NumberTitleTypeECTSHoursLecturers
402-0812-00LComputational Statistical Physics Information W8 credits2V + 2U
402-0812-00 VComputational Statistical Physics2 hrs
Fri07:45-09:30HPT C 103 »
M. Krstic Marinkovic
402-0812-00 UComputational Statistical Physics2 hrs
Fri09:45-11:30HCI F 8 »
09:45-11:30HPT C 103 »
M. Krstic Marinkovic
402-0810-00LComputational Quantum Physics
Special Students UZH must book the module PHY522 directly at UZH.
W8 credits2V + 2U
402-0810-00 VComputational Quantum Physics
**together with University of Zurich**
More information at:https://studentservices.uzh.ch/uzh/anonym/vvz/index.html#/details/2020/004/SM/50993568
2 hrs
Tue09:45-11:30HIL E 7 »
M. H. Fischer
402-0810-00 UComputational Quantum Physics
**together with University of Zurich**
More information at: Link
2 hrs
Tue13:45-15:30HCI J 7 »
M. H. Fischer
402-0448-01LQuantum Information Processing I: Concepts
This theory part QIP I together with the experimental part 402-0448-02L QIP II (both offered in the Spring Semester) combine to the core course in experimental physics "Quantum Information Processing" (totally 10 ECTS credits). This applies to the Master's degree programme in Physics.
W5 credits2V + 1U
402-0448-01 VQuantum Information Processing I: Concepts2 hrs
Mon13:45-15:30HPV G 5 »
P. Kammerlander
402-0448-01 UQuantum Information Processing I: Concepts1 hrs
Mon15:45-16:30HCI H 8.1 »
15:45-16:30HCI J 4 »
15:45-16:30HIL E 10.1 »
15:45-16:30HPV G 5 »
P. Kammerlander
227-0161-00LMolecular and Materials Modelling Information W4 credits2V + 2U
227-0161-00 VMolecular and Materials Modelling
A hands-on course on atomistic simulations (classical and ab initio) applied to realistic systems. The exercises, focused on the analysis of calculations performed on the most advanced packages installed in the Lugano supercomputing center, will be in part based on Jupyter notebooks. Thus a basic knowledge of python is desirable.
2 hrs
Wed08:15-10:00ETZ E 9 »
D. Passerone, C. Pignedoli
227-0161-00 UMolecular and Materials Modelling
A hands-on course on atomistic simulations (classical and ab initio) applied to realistic systems. The exercises, focused on the analysis of calculations performed on the most advanced packages installed in the Lugano supercomputing center, will be in part based on Jupyter notebooks. Thus a basic knowledge of python is desirable.
2 hrs
Wed10:15-12:00ETZ E 9 »
D. Passerone, C. Pignedoli
529-0474-00LQuantum ChemistryW6 credits3G
529-0474-00 GQuantenchemie
Vorlesung: Mi 14-16
Übungen: Mi 16-17
3 hrs
Wed13:45-15:30HCI J 7 »
15:45-16:30HCI D 8 »
M. Reiher, T. Weymuth
402-0778-00LParticle Accelerator Physics and Modeling IIW6 credits2V + 1U
402-0778-00 VParticle Accelerator Physics and Modeling II2 hrs
Fri13:45-15:30HIL E 10.1 »
A. Adelmann
402-0778-00 UParticle Accelerator Physics and Modeling II1 hrs
Fri15:45-16:30HIL E 10.1 »
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
401-4658-00LComputational Methods for Quantitative Finance: PDE Methods Information Restricted registration - show details W6 credits3V + 1U
401-4658-00 VComputational Methods for Quantitative Finance: PDE Methods
Permission from lecturers required for all students.
3 hrs
Wed14:15-16:00HG D 5.2 »
Fri14:15-15:00HG D 5.2 »
C. Marcati, A. Stein
401-4658-00 UComputational Methods for Quantitative Finance: PDE Methods
Groups are selected in myStudies.
1 hrs
Fri13:15-14:00HG D 5.2 »
16:15-17:00HG D 5.2 »
C. Marcati, A. Stein
401-3932-19LMachine Learning in FinanceW6 credits3V + 1U
401-3932-19 VMachine Learning in Finance3 hrs
Mon10:15-12:00ML F 36 »
Wed11:15-12:00LFW C 5 »
J. Teichmann
401-3932-19 UMachine Learning in Finance1 hrs
Wed10:15-11:00LFW C 5 »
J. Teichmann
401-8908-00LContinuous Time Quantitative Finance (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: MFOEC204

Mind the enrolment deadlines at UZH:
Link
W3 credits3V
401-8908-00 VContinuous Time Quantitative Finance (University of Zurich)
**Course at University of Zurich**
3 hrs
Mon13:00-15:45UNI ZH .
University lecturers
401-5820-00LSeminar in Computational Finance for CSEW4 credits2S
401-5820-00 SSeminar in Computational Finance for CSE
Please contact Prof. Teichmann if you are interested in attending.
2 hrsby appt.J. Teichmann
Electromagnetics
recognition of 227-0662-00L and 227-0662-10L requires the successful completion of both course units
NumberTitleTypeECTSHoursLecturers
227-0536-00LMultiphysics Simulations for Power Systems Information
This course is defined so and planned to be an addition to the module "227-0537-00L Technology of Electric Power System Components".
However, the students who are familiar with the fundamentals of electromagnetic fields could attend only this course without its 227-0537-00-complement.
W4 credits2V + 2U
227-0536-00 VMultiphysics Simulations for Power Systems
Change from HS21 to the autumn semester.
2 hrs
Thu08:15-10:00ETZ F 91 »
J. Smajic
227-0536-00 UMultiphysics Simulations for Power Systems2 hrs
Thu10:15-12:00ETZ D 96.1 »
J. Smajic
227-0662-00LOrganic and Nanostructured Optics and Electronics (Course)W3 credits2G
227-0662-00 GOrganic and Nanostructured Optics and Electronics (Course)
Does not take place this semester.
Block course containing a lecture portion and an optional paper/project.
28s hrsV. Wood
227-0662-10LOrganic and Nanostructured Optics and Electronics (Project) Information Restricted registration - show details W3 credits2A
227-0662-00 AOrganic and Nanostructured Optics and Electronics (Project)
Does not take place this semester.
Permission from lecturers required for all students.
Block course
28s hrsV. Wood
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