Search result: Courses in Spring Semester 2021

Statistics Master Information
The following courses belong to the curriculum of the Master's Programme in Statistics. The corresponding credits do not count as external credits even for course units where an enrolment at ETH Zurich is not possible.
Master Studies (Programme Regulations 2020)
Subject Specific Electives
NumberTitleTypeECTSHoursLecturers
252-3900-00LBig Data for Engineers Information
This course is not intended for Computer Science and Data Science MSc students!
W6 credits2V + 2U + 1A
252-3900-00 VBig Data for Engineers
The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Tue10-12ON LI NE »
G. Fourny
252-3900-00 UBig Data for Engineers
Groups are selected in myStudies.
2 hrs
Wed14-16CAB G 57 »
16-18ML H 34.3 »
16-18NO C 44 »
16-18NO D 11 »
Fri16-18CAB G 52 »
16-18CAB G 56 »
16-18CAB G 57 »
G. Fourny
252-3900-00 ABig Data for Engineers1 hrsG. Fourny
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 is this regard. If necessary, please contact studiensekretariat@inf.ethz.ch
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
Tue14-16ETA F 5 »
14-16ETF E 1 »
Wed14-16ETA F 5 »
14-16ETF E 1 »
A. Krause, F. Yang
252-0220-00 UIntroduction to Machine Learning
Q&A session Wed 16-17
2 hrs
Fri14-16ML D 28 »
A. Krause, F. Yang
252-0220-00 AIntroduction to Machine Learning
No presence required.
1 hrsA. Krause, F. Yang
401-4632-15LCausality Information W4 credits2G
401-4632-15 GCausality2 hrs
Wed10-12HG E 1.1 »
C. Heinze-Deml
401-3602-00LApplied Stochastic Processes Information W8 credits3V + 1U
401-3602-00 VApplied Stochastic Processes3 hrs
Tue09-12IFW A 36 »
V. Tassion
401-3602-00 UApplied Stochastic Processes
Groups are selected in myStudies.
Thu 9-10 or Thu 12-13
1 hrs
Wed13-14HG E 33.1 »
Thu09-10LFW C 1 »
12-13HG G 26.5 »
V. Tassion
401-3642-00LBrownian Motion and Stochastic Calculus Information W10 credits4V + 1U
401-3642-00 VBrownian Motion and Stochastic Calculus4 hrs
Wed08-10HG E 5 »
Thu10-12ETF C 1 »
W. Werner
401-3642-00 UBrownian Motion and Stochastic Calculus
Groups are selected in myStudies.
1 hrs
Fri08-09HG G 26.5 »
09-10HG G 26.5 »
12-13HG G 26.3 »
W. Werner
401-6228-00LProgramming with R for Reproducible Research Information W1 credit1G
401-6228-00 GProgramming with R for Reproducible Research14s hrs
Tue/114-16HG E 1.1 »
M. Mächler
401-4627-00LEmpirical Process Theory and ApplicationsW4 credits2V
401-4627-00 VEmpirical Process Theory and Applications
Online via Zoom
2 hrs
Tue08-10HG E 5 »
S. van de Geer
401-4637-67LOn Hypothesis TestingW4 credits2V
401-4637-67 VOn Hypothesis Testing2 hrs
Thu14-16ML D 28 »
F. Balabdaoui
401-3629-00LQuantitative Risk Management Information W4 credits2V + 1U
401-3629-00 VQuantitative Risk Management2 hrs
Thu10-12ML H 44 »
P. Cheridito
401-3629-00 UQuantitative Risk Management1 hrs
Thu12-13ML H 44 »
P. Cheridito
261-5110-00LOptimization for Data Science Information W10 credits3V + 2U + 4A
261-5110-00 VOptimization for Data Science3 hrs
Mon13-14NO C 60 »
Tue10-12ETF C 1 »
B. Gärtner, D. Steurer, N. He
261-5110-00 UOptimization for Data Science2 hrs
Tue14-16HG D 5.2 »
14-16ML H 44 »
B. Gärtner, D. Steurer, N. He
261-5110-00 AOptimization for Data Science4 hrsB. Gärtner, D. Steurer, N. He
252-0526-00LStatistical Learning Theory Information W8 credits3V + 2U + 2A
252-0526-00 VStatistical Learning Theory3 hrs
Mon14-16HG G 3 »
Tue17-18HG F 5 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 UStatistical Learning Theory2 hrs
Mon16-18HG G 3 »
J. M. Buhmann, C. Cotrini Jimenez
252-0526-00 AStatistical Learning Theory2 hrsJ. M. Buhmann, C. Cotrini Jimenez
227-0432-00LLearning, Classification and Compression Information W4 credits2V + 1U
227-0432-00 VLearning, Classification and Compression2 hrs
Thu09-11IFW A 32.1 »
E. Riegler
227-0432-00 ULearning, Classification and Compression1 hrs
Thu11-12IFW A 32.1 »
E. Riegler
252-3005-00LNatural Language Processing Information Restricted registration - show details
Number of participants limited to 400.
W5 credits2V + 1U + 1A
252-3005-00 VNatural Language Processing2 hrs
Wed12-14HG E 7 »
R. Cotterell
252-3005-00 UNatural Language Processing1 hrs
Thu17-18CAB G 11 »
Fri11-12CAB G 11 »
R. Cotterell
252-3005-00 ANatural Language Processing1 hrsR. Cotterell
636-0702-00LStatistical Models in Computational BiologyW6 credits2V + 1U + 2A
636-0702-00 VStatistical Models in Computational Biology
Starts at 12:15.

This course will be held online only via Zoom throughout the complete semester.

The lecturers will communicate the exact lesson times of ONLINE courses.
2 hrs
Thu12-14ON LI NE »
N. Beerenwinkel
636-0702-00 UStatistical Models in Computational Biology
Starts at 14:15.

The tutorial will be held online only via Zoom throughout the complete semester.

The lecturers will communicate the exact lesson times of ONLINE courses.
1 hrs
Thu14-15ON LI NE »
N. Beerenwinkel
636-0702-00 AStatistical Models in Computational Biology
Project work, no fixed presence required.
2 hrsN. Beerenwinkel
701-0104-00LStatistical Modelling of Spatial DataW3 credits2G
701-0104-00 GStatistical Modelling of Spatial Data2 hrs
Wed08-10CHN F 46 »
A. J. Papritz
401-6222-00LRobust and Nonlinear Regression Information Restricted registration - show details W2 credits1V + 1U
401-6222-00 VRobust and Nonlinear Regression Special students and auditors need a special permission from the lecturers.
Does not take place this semester.
Block course
12s hrs
401-6222-00 URobust and Nonlinear Regression Special students and auditors need a special permission from the lecturers.
Does not take place this semester.
Block course
9s hrs
401-8618-00LStatistical Methods in Epidemiology (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: STA408

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html
W5 credits3G
401-8618-00 GStatistical Methods in Epidemiology (University of Zurich)
**Course at University of Zurich**
3 hrs
Mon09-12UNI ZH .
University lecturers
401-4626-00LAdvanced Statistical Modelling: Mixed ModelsW4 credits2V
401-4626-00 VAdvanced Statistical Modelling: Mixed Models
Does not take place this semester.
2 hrsM. Mächler
401-8628-00LSurvival Analysis (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH.
UZH Module Code: STA425

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html
W3 credits1.5G
401-8628-00 GSurvival Analysis (University of Zurich)
**Course at University of Zurich**
1.5 hrs
Tue/109-12UNI ZH .
University lecturers
227-0434-10LMathematics of Information Information W8 credits3V + 2U + 2A
227-0434-10 VMathematics of Information3 hrs
Thu09-12HG D 3.2 »
H. Bölcskei
227-0434-10 UMathematics of Information2 hrs
Mon14-16HG D 3.2 »
H. Bölcskei
227-0434-10 AMathematics of Information2 hrsH. Bölcskei
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