Introduction to Stochastic Processes

Credits 4 credit points
Instructors Boxma, O.J. (Technische Universiteit Eindhoven), Adan, I.J.B.F. (Technische Universiteit Eindhoven)
E-mail o.j.boxma@tue.nli.j.b.f.adan@TUE.nl
Aim

To provide an introduction in the basic notions of stochastic processes as applied in stochastic operations research topics like queueing theory and Markov decision processes.

Description

The following subjects will be treated:

  • Discrete time Markov chains, including classification of states and long run behaviour and branching processes.
  • Exponential distribution and Poisson Processes.
  • Generating functions and Laplace-Stieltjes transforms.
  • Continuous time Markov chains and birth-and-death processes.
  • Renewal theory, including renewal theorem, renewal reward processes and regenerative processes.
Organization

Crash course: 4 days (September 4, 5, 11 and 12; 10:15-12.00, 13:00-14.45)

Examination To be announced.
Literature S.M. Ross, 'Introduction to probability models', 8th edition, Academic Press, 2003.
Prerequisites Basic knowledge of probability at the level: S.M. Ross, ‘Introduction to probability models’, 8th edition, Academic Press, 2003 (chapters 1-3).
  Last changed: 18-01-2012 10:21