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Probability and Statistics
Wahrscheinlichkeit und Statistik
Last Updated: 2026-02-05 15:19:01
Abstract
- Laplace models, random walks, conditional probabilities, independence.- Kolmogorov's axioms, random variables, moments, multivariate distributions, laws of large numbers and central limit theorem.- Point estimators, tests and confidence intervals.
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 it does point out where this is required and what the connections are.
Content
- Diskrete Wahrscheinlichkeitsräume: Laplace-Modelle, Binomial- und Poissonverteilung, bedingte Wahrscheinlichkeiten, Unabhängigkeit, Irrfahrten, erzeugende Funktionen, eventuell Markovketten. - Allgemeine Wahrscheinlichkeitsräume: Axiome von Kolmogorov, Zufallsvariablen und ihre Verteilungen, Erwartungswert und andere Kennzahlen, Entropie, charakteristische Funktionen, mehrdimensionale Verteilung inkl. Normalverteilung, Summen von Zufallsvariablen. - Grenzwertsätze: Schwaches und starkes Gesetz der grossen Zahlen, zentraler Grenzwertsatz. - Statistik: Fragestellungen der Statistik (Schätzen, Vertrauensintervalle, Testen), Verknüpfung Statistik und Wahrscheinlichkeit, Neyman-Pearson Lemma, Wilcoxon-, t- und Chiquadrat-Test, Beurteilung von Schätzern, kleinste Quadrate.
Resources
Lecture Notes
Es steht ein Skript zur Verfügung, das zu Beginn der Vorlesung verkauft wird.
General Information
- Language
- German
- Levels
- BSC , DS
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Wahrscheinlichkeit und Statistik |
|
4 h weekly |
| exercise | Wahrscheinlichkeit und Statistik |
|
2 h weekly |
Offered In
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Mathematics, Computational Science and Engineering (Mathematics, Physics Those who want to register for elective courses in the diploma degree programme im Mathematics, should select these from the range of courses of the Master programme in Mathematics. Those who want to register for core subject and elective courses in the diploma degree programme in Physics, should select these from the range of courses of the Master programme in Physics (Core Courses: Theoretical Physics, Core Courses: Experimental Physics, Electives: Physics and Mathematics). The same holds for seminars and semester projects and papers.)
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Statistics and Probability Theory (Weitere Fächer siehe Mathematik Master > Kernfächer und Wahlfächer)
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Statistics and Probability Theory (Weitere Fächer siehe Mathematik Master > Kernfächer und Wahlfächer)
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