TMA4265 Stochastic Processes, Autumn 2013
Curriculum
The curriculum consists of
- Chapter 1: Introduction to probability theory assumed to be known
- Chapter 2: Random variables assumed to be known
- Chapter 3: Conditional probability and condititional expectation, 3.1 - 3.5, 3.6.3
- Chapter 4: Markov chains, 4.1 - 4.9
- Chapter 5: The Exponential Distribution and the Poisson Process, 5.1 - 5.3
- Chapter 6: Continuous-time Markov chains, 6.1 - 6.6
- Chapter 8: Queueing theory, 8.1 - 8.3, 8.5, 8.9.1, 8.9.2
- Chapter 10: Brownian motion, 10.1, 10.3
in Ross, S. (2010). Introduction to Probability Models, 10th edn, Academic Press". Everything covered in the lectures, project and exercises is also part of the curriculum.