Universität Wien

250068 VO Probability and statistics (2022S)

7.00 ECTS (4.00 SWS), SPL 25 - Mathematik
Moodle

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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