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Probability and Statistics
Last Updated: 2026-02-05 15:41:16
Abstract
- Discrete probability spaces- Continuous models- Limit theorems- Introduction to statistics
Objective
The goal of this course is to provide an introduction to the basic ideas and concepts from probability theory and mathematical statistics. This includes a mathematically rigorous treatment as well as intuition and getting acquainted with the ideas behind the definitions. The course does not use measure theory systematically, but does point out where this is required and what the connections are.
Content
- Probability: Chapters 1-12 from the book by DasGupta - Statistics: Chapters 8-11 from the book by Rice
Resources
Lecture Notes
There will be lecture notes (in German) that are continuously updated during the semester.
Literature
A. DasGupta, Fundamentals of Probability: A First Course, Springer (2010) J. A. Rice, Mathematical Statistics and Data Analysis, Duxbury Press, second edition (1995)
General Information
- Language
- English
- Levels
- MSC
- Frequency
- Semesterly recurring
Examination
- Type
- session examination
- Mode
- written 180 minutes
- Aids
- Collection of formulas; precise format will be communicated in the course (Course 401-2604-00L Probability and Statistics (taught in the Spring Semester)) or on the course webpage.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| revision course / private study |
Probability and Statistics
Self-study course. No presence required.
|
No time listed | 210 h semesterly |
Offered In
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Course Units for Additional Admission Requirements (The courses below are only available for MSc students with additional admission requirements.)
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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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Course Units for Additional Admission Requirements (The courses below are only available for MSc students with additional admission requirements.)
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