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STAT 662

Introduction to Stochastic Processes

Catalog2026-2027
Credits3 units
LevelGraduate
Average gradeA
Standard

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.