Search result: Courses in Spring Semester 2022

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)
Core Courses
Statistical Modelling
Course units are offered in the autumn semester.
Applied Statistics
NumberTitleTypeECTSHoursLecturers
401-3632-00LComputational StatisticsW8 credits3V + 1U
401-3632-00 VComputational Statistics3 hrs
Thu14:15-16:00HG F 1 »
Fri09:15-10:00HG F 1 »
N. Meinshausen
401-3632-00 UComputational Statistics
A "Präsenzstunde" directly following the exercises will be offered Friday 11-12 in HG G 5.
1 hrs
Fri10:15-11:00HG G 5 »
N. Meinshausen
Mathematical Statistics
Course units are offered in the autumn semester.
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
Online lecture: This lecture will primarily take place online. Reserved rooms will remain blocked on campus for students to follow the course from there.
2 hrs
Tue10:15-12:00HG G 5 »
G. Fourny
252-3900-00 UBig Data for Engineers
Groups are selected in myStudies.
2 hrs
Wed14:15-16:00CAB G 57 »
16:15-18:00ML H 34.3 »
16:15-18:00NO C 44 »
16:15-18:00NO D 11 »
Fri16:15-18:00CAB G 52 »
16:15-18:00CAB G 56 »
16:15-18:00CAB 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 in 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
Tue14:15-16:00ETA 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 Learning2 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
401-4632-15LCausality Information W4 credits2G
401-4632-15 GCausality
Does not take place this semester.
The lecture course "Causality" will be replaced by a seminar.
2 hrsto be announced
401-3602-00LApplied Stochastic Processes Information W8 credits3V + 1U
401-3602-00 VApplied Stochastic Processes
Does not take place this semester.
3 hrsnot available
401-3602-00 UApplied Stochastic Processes
Groups are selected in myStudies.
Does not take place this semester.
1 hrsnot available
401-3642-00LBrownian Motion and Stochastic Calculus Information W10 credits4V + 1U
401-3642-00 VBrownian Motion and Stochastic Calculus4 hrs
Tue08:15-10:00HG E 3 »
Thu08:15-10:00HG E 3 »
M. Schweizer
401-3642-00 UBrownian Motion and Stochastic Calculus
Groups are selected in myStudies.
1 hrs
Fri08:15-09:00HG G 26.5 »
09:15-10:00HG G 26.5 »
12:15-13:00HG G 26.3 »
M. Schweizer
401-6228-00LProgramming with R for Reproducible Research Information W1 credit1G
401-6228-00 GProgramming with R for Reproducible Research14s hrs
Tue/114:15-16:00HG E 1.1 »
M. Mächler
401-4627-00LEmpirical Process Theory and ApplicationsW4 credits2V
401-4627-00 VEmpirical Process Theory and Applications2 hrs
Wed08:15-10:00HG D 5.2 »
S. van de Geer
401-3629-00LQuantitative Risk Management Information W4 credits2V + 1U
401-3629-00 VQuantitative Risk Management2 hrs
Thu10:15-12:00ML H 44 »
30.05.17:15-19:00ML H 44 »
P. Cheridito
401-3629-00 UQuantitative Risk Management1 hrs
Thu12:15-13:00HG E 1.1 »
P. Cheridito
261-5110-00LOptimization for Data Science Information W10 credits3V + 2U + 4A
261-5110-00 VOptimization for Data Science3 hrs
Mon13:15-14:00NO C 60 »
Tue10:15-12:00ETF C 1 »
B. Gärtner, N. He
261-5110-00 UOptimization for Data Science2 hrs
Tue14:15-16:00HG D 5.2 »
14:15-16:00ML H 44 »
Fri14:15-16:00LFW B 1 »
B. Gärtner, N. He
261-5110-00 AOptimization for Data Science4 hrsB. Gärtner, N. He
252-0526-00LStatistical Learning Theory Information W8 credits3V + 2U + 2A
252-0526-00 VStatistical Learning Theory
Does not take place this semester.
3 hrsJ. M. Buhmann
252-0526-00 UStatistical Learning Theory
Does not take place this semester.
2 hrsJ. M. Buhmann
252-0526-00 AStatistical Learning Theory
Does not take place this semester.
2 hrsJ. M. Buhmann
227-0432-00LLearning, Classification and Compression Information W4 credits2V + 1U
227-0432-00 VLearning, Classification and Compression2 hrs
Wed09:15-11:00HG D 3.2 »
E. Riegler
227-0432-00 ULearning, Classification and Compression1 hrs
Wed11:15-12:00HG D 3.2 »
E. Riegler
636-0702-00LStatistical Models in Computational BiologyW6 credits2V + 1U + 2A
636-0702-00 VStatistical Models in Computational Biology
This lecture will take place online only (via Zoom). Link will be send to registered students in due time.
Room reserved in Basel: Oppenheim (BSD G205)
Rom reserved in Zürich: HG D 16.2
2 hrs
Thu12:15-14:00BSD G 205 »
12:15-14:00HG D 16.2 »
N. Beerenwinkel
636-0702-00 UStatistical Models in Computational Biology
This lecture will take place online only (via Zoom). Link will be send to registered students in due time.
Room reserved in Basel: Oppenheim (BSD G205)
Rom reserved in Zürich: HG D 16.2
1 hrs
Thu14:15-15:00BSD G 205 »
14:15-15:00HG D 16.2 »
N. Beerenwinkel
636-0702-00 AStatistical Models in Computational Biology
Project work, no fixed presence required.
2 hrsN. Beerenwinkel
401-6222-00LRobust and Nonlinear Regression Information W2 credits2G
447-6222-01 GRobust Regression
Block course on 13.06.22 / 20.06.22
10.5s hrs
13.06.08:15-18:00HG D 7.1 »
20.06.08:15-12:00HG F 7 »
A. F. Ruckstuhl
447-6222-02 GNonlinear Regression
Block course on 20.06.22 / 27.06.22
10.5s hrs
20.06.14:15-18:00HG F 7 »
27.06.08:15-18:00HG E 1.1 »
A. F. Ruckstuhl
401-8618-00LStatistical Methods in Epidemiology (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student.
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
Mon09:00-12:00UNI ZH .
University lecturers
401-4626-00LAdvanced Statistical Modelling: Mixed ModelsW4 credits2V
401-4626-00 VAdvanced Statistical Modelling: Mixed Models
Offered for the last time in FS 2022
2 hrs
Tue08:15-10:00HG F 26.5 »
M. Mächler
401-8628-00LSurvival Analysis (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student.
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/109:00-12:00UNI ZH .
University lecturers
227-0434-10LMathematics of Information Information W8 credits3V + 2U + 2A
227-0434-10 VMathematics of Information
Hybride Veranstaltung, die Veranstaltung kann in Präsenz oder online verfolgt werden.
3 hrs
Thu09:15-12:00ML F 36 »
H. Bölcskei
227-0434-10 UMathematics of Information
Hybride Veranstaltung, die Veranstaltung kann in Präsenz oder online verfolgt werden.
2 hrs
Mon14:15-16:00ML E 12 »
H. Bölcskei
227-0434-10 AMathematics of Information2 hrsH. Bölcskei
401-3904-22LConvex OptimizationW6 credits3G
401-3904-22 GConvex Optimization3 hrs
Wed16:15-18:00HG D 1.1 »
Fri12:15-13:00HG E 1.1 »
A. A. Kurpisz
263-5300-00LGuarantees for Machine Learning Information Restricted registration - show details
Number of participants limited to 30.

The course will take place next autumn semester 2022.
W7 credits3G + 3A
263-5300-00 GGuarantees for Machine Learning
Does not take place this semester.
3 hrs
Thu12:15-14:00CAB G 11 »
Fri12:15-13:00CAB G 59 »
F. Yang
263-5300-00 AGuarantees for Machine Learning
Does not take place this semester.
3 hrsF. Yang
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