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Student Seminar in Statistics: Causality
Last Updated: 2026-02-05 16:22:58
Abstract
Causality is dealing with fundamental questions about cause and effect. The student seminar covers statistical and mathematical aspects of causality ranging from fundamental formalization of concepts to practical algorithms and methods.
Objective
The participants of the seminar acquire knowledge about: concepts and formalization of statistical causality; methods, algorithms and corresponding assumptions for inferring causal relations from data; causal analysis in practice based on real data.
General Information
- Language
- English
- Levels
- BSC , MSC
- Frequency
- Semesterly recurring
Examination
- Type
- ungraded semester performance
Registration & Places
- Signup Start
- 02.01.2023
- Signup End
- 17.02.2023
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar |
Student Seminar in Statistics: Causality
The seminar is offered in two groups.
|
|
2 h weekly |
Offered In
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Seminars (NOTICE: The number of seminar places is limited, and the special selection procedure should help to allocate the places not primarily according to the registration time. For some seminars everybody is waitlisted first when he/she tries to register for a seminar in myStudies. Moreover: at most 2 mathematics seminars can be chosen per semester.)
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Seminars (NOTICE: The number of seminar places is limited, and the special selection procedure should help to allocate the places not primarily according to the registration time. For the seminars with pecial selection procedure everybody is waitlisted first when he/she tries to register for a seminar in myStudies. Moreover: At most 2 mathematics seminars can be chosen per semester. In case you need to attend 3 seminars in this semester, please take contact with the Study Administration (email: ).)
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Statistics Master (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.)
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