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401-3601-00L 9 Credits BSC , MSC D-ITET , D-MATH , D-INFK , D-PHYS
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Probability Theory

Lecturers & Examiners: Prof. Dr. Vincent Tassion
At most one of the three course units (Bachelor Core Courses) 401-3461-00L Functional Analysis I 401-3531-00L Differential Geometry I 401-3601-00L Probability Theory can be recognised for the Master's degree in Mathematics or Applied Mathematics. In this case, you cannot change the category assignment by yourself in myStudies but must take contact with the Study Administration Office ( ) after having received the credits. Moreover, 401-3601-00L Probability Theory can only be recognised for the Master Programme in Mathematics if neither 401-3642-00L Brownian Motion and Stochastic Calculus nor 401-3602-00L Applied Stochastic Processes has been recognised for the Bachelor Programme.
VVZ CR 4.2

Last Updated: 2026-02-05 16:30:05

Abstract

Basics of probability theory and the theory of stochastic processes in discrete time

Objective

- Basic methods in probability. - Fundamental convergence theorems (law of large numbers, central limit theorem). - Introduction to discrete martingale theory and applications - Introduction to Markov chains and applications

Content

PART 1: FUNDAMENTAL RESULTS - Law of large numbers - Different notions of convergences for random variables - Characteristic functions - Convergence in law - Central limit Theorem PART 2: MARTINGALES - Conditional expectation - Almost sure convergence - Optional stopping theorem PART 3: MARKOV CHAINS - Definition, Markov property - Classification of states - Convergence to equilibrium

Resources

Lecture Notes

hand written, updated weekly and available online

Literature

J.F. Le Gall, Probability Theory, Springer 2022 R. Durrett, Probability: Theory and examples, Duxbury Press 1996 H. Bauer, Probability Theory, de Gruyter 1996 J. Jacod and P. Protter, Probability essentials, Springer 2004 A. Klenke, Wahrscheinlichkeitstheorie, Springer 2006 D. Williams, Probability with martingales, Cambridge University Press 1991

Learning Materials (Links)

General Information

Language
English
Levels
BSC , MSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
written 120 minutes
Aids
None

Course Components

Type Title Time & Place Hours
lecture Probability Theory
  • Wed 12:15-14:00 (ML H 44)
  • Fri 10:15-12:00 (CAB G 11)
  • Fri 10:15-12:00 (HG E 3)
4 h weekly
exercise Probability Theory
Groups are selected in myStudies. Tue 14-15 or Tue 15-16 starting in the second week of the semester.
  • Tue 14:15-15:00 (ML F 34)
  • Tue 14:15-15:00 (ML H 41.1)
  • Tue 15:15-16:00 (ML F 34)
  • Tue 15:15-16:00 (ML H 41.1)
1 h weekly

Offered In