Universität Wien

250045 VO Advanced probability theory (2010S)

7.00 ECTS (4.00 SWS), SPL 25 - Mathematik

Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 03.03. 10:00 - 11:00 Seminarraum
  • Thursday 04.03. 10:00 - 11:00 Seminarraum
  • Monday 08.03. 10:00 - 11:00 Seminarraum
  • Tuesday 09.03. 10:00 - 11:00 Seminarraum
  • Wednesday 10.03. 10:00 - 11:00 Seminarraum
  • Thursday 11.03. 10:00 - 11:00 Seminarraum
  • Monday 15.03. 10:00 - 11:00 Seminarraum
  • Tuesday 16.03. 10:00 - 11:00 Seminarraum
  • Wednesday 17.03. 10:00 - 11:00 Seminarraum
  • Thursday 18.03. 10:00 - 11:00 Seminarraum
  • Monday 22.03. 10:00 - 11:00 Seminarraum
  • Tuesday 23.03. 10:00 - 11:00 Seminarraum
  • Wednesday 24.03. 10:00 - 11:00 Seminarraum
  • Thursday 25.03. 10:00 - 11:00 Seminarraum
  • Monday 12.04. 10:00 - 11:00 Seminarraum
  • Tuesday 13.04. 10:00 - 11:00 Seminarraum
  • Wednesday 14.04. 10:00 - 11:00 Seminarraum
  • Thursday 15.04. 10:00 - 11:00 Seminarraum
  • Monday 19.04. 10:00 - 11:00 Seminarraum
  • Tuesday 20.04. 10:00 - 11:00 Seminarraum
  • Wednesday 21.04. 10:00 - 11:00 Seminarraum
  • Thursday 22.04. 10:00 - 11:00 Seminarraum
  • Monday 26.04. 10:00 - 11:00 Seminarraum
  • Tuesday 27.04. 10:00 - 11:00 Seminarraum
  • Wednesday 28.04. 10:00 - 11:00 Seminarraum
  • Thursday 29.04. 10:00 - 11:00 Seminarraum
  • Monday 03.05. 10:00 - 11:00 Seminarraum
  • Tuesday 04.05. 10:00 - 11:00 Seminarraum
  • Wednesday 05.05. 10:00 - 11:00 Seminarraum
  • Thursday 06.05. 10:00 - 11:00 Seminarraum
  • Monday 10.05. 10:00 - 11:00 Seminarraum
  • Tuesday 11.05. 10:00 - 11:00 Seminarraum
  • Wednesday 12.05. 10:00 - 11:00 Seminarraum
  • Monday 17.05. 10:00 - 11:00 Seminarraum
  • Tuesday 18.05. 10:00 - 11:00 Seminarraum
  • Wednesday 19.05. 10:00 - 11:00 Seminarraum
  • Thursday 20.05. 10:00 - 11:00 Seminarraum
  • Wednesday 26.05. 10:00 - 11:00 Seminarraum
  • Thursday 27.05. 10:00 - 11:00 Seminarraum
  • Monday 31.05. 10:00 - 11:00 Seminarraum
  • Tuesday 01.06. 10:00 - 11:00 Seminarraum
  • Wednesday 02.06. 10:00 - 11:00 Seminarraum
  • Monday 07.06. 10:00 - 11:00 Seminarraum
  • Tuesday 08.06. 10:00 - 11:00 Seminarraum
  • Wednesday 09.06. 10:00 - 11:00 Seminarraum
  • Thursday 10.06. 10:00 - 11:00 Seminarraum
  • Monday 14.06. 10:00 - 11:00 Seminarraum
  • Tuesday 15.06. 10:00 - 11:00 Seminarraum
  • Wednesday 16.06. 10:00 - 11:00 Seminarraum
  • Thursday 17.06. 10:00 - 11:00 Seminarraum
  • Monday 21.06. 10:00 - 11:00 Seminarraum
  • Tuesday 22.06. 10:00 - 11:00 Seminarraum
  • Wednesday 23.06. 10:00 - 11:00 Seminarraum
  • Thursday 24.06. 10:00 - 11:00 Seminarraum
  • Monday 28.06. 10:00 - 11:00 Seminarraum
  • Tuesday 29.06. 10:00 - 11:00 Seminarraum
  • Wednesday 30.06. 10:00 - 11:00 Seminarraum

Information

Aims, contents and method of the course

This is an introduction to rigorous probability theory, based on measure
theory. We are going to discuss basic classical results, like laws of large numbers (and the ergodic theorem) and distributional limit thorems (central limit theorem and beyond), and study important classes of stochastic processes and their properties.

Assessment and permitted materials

mündliche Prüfung

Minimum requirements and assessment criteria

understand the lectures

Examination topics

lectures

Reading list

wird in der Vorlesung angegeben

Association in the course directory

MSTW

Last modified: Mo 07.09.2020 15:40