Introduction to network applications, discrete random variables, continuous random variables, characteristic functions. Introduction to stochastic processes. Discrete-time Markov chains, continuous time Markov chains. Introduction to queuing theory, M/M/1 and derivative queues, and M/G/1 queues. Burke’s theorem. Jackson’s theorem: open and closed network of queues. Applications to computer networks and case studies.