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, Spring 2018, Spring 2019, Spring 2021, Spring 2022, Spring 2023, Spring 2024

3. Prerequisites: IMEN266 Operations Research II 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