ELEN E6711x Stochastic models in information systems Lect: 3. 4.5 pts. Prerequisites: SIEO W3658. Fundations: probability review, Poisson processes, discrete-time Markow models, continuous-time Markov models, stationarity, and ergodicity. The course presents a sample-path (time domain) treatment of stochastic models arising in information systems, including at least one of the following areas: communications networks (queueing systems), biological networks (hidden Markov models), Bayesian restoration of images (Gibbs fields), and electric networks (random walks).