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IMEN666 Applied Stochastic Processes

1. Course description:
This course covers basic theories of modeling stochastic processes such as Markov Chains, Poisson processes, Renewal processes, Continuous-Time Markov Chains, and Brownian motions. This course focuses more on the theoretical aspects of those processes than practical applications.

2. Offered: Spring 2014, Spring 2015, Spring 2016, Spring 2017

3. Prerequisites: IMEN366 Probability Modeling & Analysis or equivalent

4. Textbook: Ross, S.M., Stochastic Processes, 2nd edition, 1996

5. Reference: Kulkarni, V.G., Modeling and Analysis of Stochastic Systems, 2nd edition, 2010