Search result: Courses in Autumn 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)
Core Courses
Statistical Modelling
NumberTitleTypeECTSHoursLecturers
401-3622-00LStatistical Modelling Information W8 credits4G
401-3622-00 GStatistical Modelling4 hrs
Mon10:15-12:00ML D 28 »
Thu14:15-16:00HG E 1.1 »
C. Heinze-Deml
401-4623-00LTime Series AnalysisW6 credits3G
401-4623-00 GTime Series Analysis
Does not take place this semester.
3 hrsF. Balabdaoui
Applied Statistics
NumberTitleTypeECTSHoursLecturers
401-0625-01LApplied Analysis of Variance and Experimental Design Information W5 credits2V + 1U
401-0625-01 VApplied Analysis of Variance and Experimental Design2 hrs
Mon14:15-16:00HG G 5 »
L. Meier
401-0625-01 UApplied Analysis of Variance and Experimental Design1 hrs
Mon/2w16:15-18:00HG E 1.1 »
L. Meier
Mathematical Statistics
The two core courses Fundamentals of Mathematical Statistics (401-3621-00L) and Likelihood Inference (401-8623-00L) are similar in content. Therefore only one of them can be recognised towards the Master’s degree in the core course area «Mathematical Statistics».
NumberTitleTypeECTSHoursLecturers
401-3621-00LFundamentals of Mathematical Statistics Information W10 credits4V + 1U
401-3621-00 VFundamentals of Mathematical Statistics4 hrs
Tue08:15-10:00HG E 5 »
Wed10:15-12:00HG E 7 »
S. van de Geer
401-3621-00 UFundamentals of Mathematical Statistics1 hrs
Tue12:15-13:00HG D 7.1 »
12:15-13:00HG E 7 »
S. van de Geer
401-8623-00LLikelihood Inference (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: STA402

Mind the enrolment deadlines at UZH:
Link
W5 credits3G
401-8623-00 GLikelihood Inference (University of Zurich)
**Course at University of Zurich**
3 hrsUniversity lecturers
Subject Specific Electives
NumberTitleTypeECTSHoursLecturers
401-3601-00LProbability Theory Information
At most one of the three course units (Bachelor Core Courses)
401-3461-00L Functional Analysis I
401-3531-00L Differential Geometry I
401-3601-00L Probability Theory
can be recognised for the Master's degree in Mathematics or Applied Mathematics. In this case, you cannot change the category assignment by yourself in myStudies but must take contact with the Study Administration Office (Link) after having received the credits.
W10 credits4V + 1U
401-3601-00 VProbability Theory4 hrs
Tue10:15-12:00HG D 1.2 »
Thu10:15-12:00HG E 3 »
23.12.11:15-12:00HG E 3 »
W. Werner
401-3601-00 UProbability Theory
Groups are selected in myStudies.
Tue 14-15 or Tue 15-16 starting in the second week of the semester.
1 hrs
Tue14:15-15:00HG F 26.5 »
14:15-15:00ML H 41.1 »
15:15-16:00HG F 26.5 »
15:15-16:00IFW C 35 »
15:15-16:00ML H 41.1 »
W. Werner
401-3627-00LHigh-Dimensional StatisticsW4 credits2V
401-3627-00 VHigh-Dimensional Statistics2 hrs
Thu08:15-10:00CAB G 61 »
P. L. Bühlmann
401-3612-00LStochastic SimulationW5 credits3G
401-3612-00 GStochastic Simulation
Does not take place this semester.
3 hrs
401-4633-00LData Analytics in Organisations and BusinessW5 credits2V + 1U
401-4633-00 VData Analytics in Organisations and Business2 hrs
Fri14:15-16:00HG G 5 »
I. Flückiger
401-4633-00 UData Analytics in Organisations and Business1 hrs
Fri/2w16:15-18:00HG G 5 »
I. Flückiger
401-6217-00LUsing R for Data Analysis and Graphics (Part II) Restricted registration - show details W1.5 credits1G
401-6217-00 GUsing R for Data Analysis and Graphics (Part II)14s hrs
Tue/214:15-16:00CAB G 11 »
M. Mächler
401-0627-00LSmoothing and Nonparametric Regression with Examples Information W4 credits2G
401-0627-00 GSmoothing and Nonparametric Regression with Examples
Online course: This course takes place online. The reserved room is meant for those students who want to follow the course from Zentrum campus.
Online-Veranstaltung: Diese Lehrveranstaltung findet online statt. Der reservierte Raum bleibt für die Studierenden auf dem Campus Zentrum bestehen, um die Lehrveranstaltung dort zu hören.
2 hrs
Fri14:15-16:00ETZ F 91 »
S. Beran-Ghosh
447-6289-00LSampling Surveys Restricted registration - show details
Special Students "University of Zurich (UZH)" in the Master Program in Biostatistics at UZH cannot register for this course unit electronically. Forward the lecturer's written permission to attend to the Registrar's Office. Alternatively, the lecturer may also send an email directly to Link. The Registrar's Office will then register you for the course.
W2 credits1G
447-6289-00 GStichproben-Erhebungen Special students and auditors need a special permission from the lecturers.
Does not take place this semester.
Blockkurs. Weitere Informationen unter Link
17.5s hrs
401-3628-14LBayesian StatisticsW4 credits2V
401-3628-14 VBayesian Statistics2 hrs
Tue16:15-18:00HG G 3 »
F. Sigrist
401-3901-00LLinear & Combinatorial Optimization Information W11 credits4V + 2U
401-3901-00 VLinear & Combinatorial Optimization (Mathematical Optimization)
Online lecture: This lecture will take place online. Reserved rooms will remain reserved on campus for students to follow the course from there.
4 hrs
Wed12:15-14:00HG G 5 »
Thu10:15-12:00HG G 5 »
R. Zenklusen
401-3901-00 ULinear & Combinatorial Optimization (Mathematical Optimization)
Groups are selected in myStudies.
Thu 14-16 or Fri 10-12 or Fr 12-14 or Fri 14-16 (depending on demand)
2 hrs
Thu14:15-16:00HG F 26.5 »
Fri10:15-12:00CAB G 51 »
12:15-14:00HG D 3.2 »
14:15-16:00HG F 26.5 »
R. Zenklusen
401-4944-20LMathematics of Data ScienceW8 credits4G
401-4944-20 GMathematics of Data Science4 hrs
Thu12:15-14:00HG G 3 »
Fri10:15-12:00HG G 5 »
A. Bandeira
252-0535-00LAdvanced Machine Learning Information W10 credits3V + 2U + 4A
252-0535-00 VAdvanced Machine Learning
Freitag 8-10 HG F1 mit Videoübertragung ins HG F3
Donnerstag 15-16 ETA F 5 mit Videoübertragung ins ETF E 1
3 hrs
Thu15:15-16:00ETA F 5 »
15:15-16:00ETF E 1 »
Fri08:15-10:00HG F 1 »
08:15-10:00HG F 3 »
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
252-3005-00LNatural Language Processing Information Restricted registration - show details
Number of participants limited to 400.
W5 credits2V + 2U + 1A
252-3005-00 VNatural Language Processing
From HS21 in the autumn semester.
2 hrs
Mon12:15-14:00HG F 7 »
R. Cotterell
252-3005-00 UNatural Language Processing2 hrs
Wed12:15-14:00HG F 7 »
R. Cotterell
252-3005-00 ANatural Language Processing1 hrsR. Cotterell
227-0423-00LNeural Network Theory Information W4 credits2V + 1U
227-0423-00 VNeural Network Theory2 hrs
Tue10:15-12:00HG F 5 »
H. Bölcskei
227-0423-00 UNeural Network Theory
The exercise will take place online on: Link.
The reserved room is meant for those students who want to follow the course from the campus.
1 hrs
Tue12:15-13:00HG F 5 »
H. Bölcskei
401-6282-00LStatistical Analysis of High-Throughput Genomic and Transcriptomic Data (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: STA426

Mind the enrolment deadlines at UZH:
Link
W5 credits3G
401-6282-00 GStatistical Analysis of High-Throughput Genomic and Transcriptomic Data (University of Zurich)
**Course at University of Zurich**
3 hrs
Mon09:00-12:00UNI ZH .
H. Rehrauer, M. Robinson
401-8625-00LClinical Biostatistics (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: STA404

Mind the enrolment deadlines at UZH:
Link
W6 credits4G
401-8625-00 GClinical Biostatistics (University of Zurich)
**Course at University of Zurich**
4 hrs
Thu09:00-09:45UNI ZH .
10:15-12:00UNI ZH .
15:00-15:45UNI ZH .
University lecturers
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