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May 02, 2024
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STAT 662 - Introduction to Stochastic Processes (3 units)
Discrete and continuous time stochastic processes with applications to queuing and inventory theory, and population growth. Topics include: Markov chains, branching processes, Poisson and renewal processes, and birth-and-death processes.
Units of Lecture: 3
Offered: Every Fall
Student Learning Outcomes:
Upon completion of this course:
1. Students will be able to demonstrate understanding of the probability foundations for stochastic processes through proofs and examples.
2. Students will be able to build and use stochastic processes, including random walks, Markov chains, branching processes, Poisson and renewal processes.
3. Students will be able to build and use continuous time stochastic process to model real-world phenomena.
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