Overview
Description
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
Lecture3
Catalog Details
Offering
Offered: Every Fall
Terms
fall
Attributes
Standard
Learning Outcomes
- demonstrate understanding of the probability foundations for stochastic processes through proofs and examples.
- build and use stochastic processes, including random walks, Markov chains, branching processes, Poisson and renewal processes.
- build and use continuous time stochastic process to model real-world phenomena.