Universität Wien

250068 VO Probability and statistics (2022S)

7.00 ECTS (4.00 SWS), SPL 25 - Mathematik

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

On site as long as the Covid19 regulations allow it.

Tuesday 01.03. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 07.03. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 08.03. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 14.03. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 15.03. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 21.03. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 22.03. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 28.03. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 29.03. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 04.04. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 05.04. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 25.04. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 26.04. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 02.05. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 03.05. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 09.05. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 10.05. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 16.05. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 17.05. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 23.05. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 24.05. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 30.05. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 31.05. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 13.06. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 14.06. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 20.06. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 21.06. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Monday 27.06. 15:00 - 16:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 28.06. 13:15 - 14:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

Topics to be covered include: Notion of probability, discrete and continuous probability spaces, Laplace Models, conditional probability, axioms of Kolmogorov, random variables, their distributions and densities, probability vectors, transformation rules, expectation, variance and covariance, fundamental limit laws such as the Law of Large Numbers and the Central Limit Theorem, Basic notions from statistics, estimators, confidence intervals and statistical tests.

Assessment and permitted materials

Written exam.

Minimum requirements and assessment criteria

Understanding and working knowledge of the material discussed in the lectures, resulting in a positive Grade for the Exam.

Examination topics

Reading list

Class notes by Prof. F Hofbauer
Karl Bosch, Elementare Einführung in die Wahrscheinlichkeitsrechnung, Vieweg + Teubner
Götz Kersting & Anton Wakolbinger, Elementare Stochastik, Birkhauser
Paul G. Hloel, Sidney C. Port & Charles J. Stone, Introduction to probability theory, Houghton Mifflin Company Boston
Norbert Henze, Stochastik für Einsteiger Eine Einführung in die faszinierende Welt des Zufalls, Springer

Association in the course directory

PTS

Last modified: Fr 23.06.2023 09:47