This course covers some basic modeling tools to handle probabilistic system such as Markov chains, Poisson processes, and continuous-time Markov chains. Conditional probability and conditional expectation are reviewed with some examples. Renewal, queueing and reliability theories will also be considered.
Textbook : Introduction to Probability Models, 11th Edition. Sheldon M. Ross