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Probability and Statistics
Wahrscheinlichkeit und Statistik
Last Updated: 2026-02-05 16:06:50
Abstract
- Probability spaces- Discrete models, Randiom walk- Conditional probabilities, independence- Continuous models- Limit theorems==============================- Methods of moments- Maximum likelihood estimation- Hypothesis testing- Confidence intervals- Introductory Bayesian statistics- Linear regression model
Objective
The first part of the course gives an overview of the main concepts needed to understand probability theory (sample spaces, discrete models, random walk, contiuous models and limit theorems such as the Laws of Large Numbers and the Central limit theorem. Note that this part of the lectures will be given in German. The second part covers some fundamental results of mathematical statistics including estimation methods, hypothesis testing as well as the linear regression model. This part of the lectures will be offered in Englisch.
Resources
Literature
A. DasGupta, Fundamentals of Probability: A First Course, Springer (2010) R. Berger and G. Casella, Statistical Inference, Duxbury Press (1990) J. A. Rice, Mathematical Statistics and Data Analysis, Wadsworth, second edition (1995)
Learning Materials (Links)
- Main link
- Information
General Information
- Language
- German
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 180 minutes
- Aids
- Formelsammlung gemäss Angaben aus der Vorlesung
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Wahrscheinlichkeit und Statistik
Der erste Teil der Vorlesungen (Wahrscheinlichkeitstheorie) wird auf Deutsch gehalten, der zweite Teil (Statistik) auf Englisch.
|
|
4 h weekly |
| exercise |
Wahrscheinlichkeit und Statistik
Groups are selected in myStudies.
Die Übungen werden in der gleichen Sprache wie die Vorlesungen abgehalten.
|
|
2 h weekly |
Offered In
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Additional Courses, Seminars and Colloquia (no course offering in this semester)
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