STA 4300 - Introduction to Random Processes (4)

Random walks, Markov chains and processes, transient and recurrent states, stationary and steady state or equilibrium distributions, Chapman-Kolmogorov equation, forward and backward differential equations: Poisson processes, birth-death chains and processes, classical single and multiple server queueing systems, Little’s formula, advanced queueing models.

Prerequisite(s): STA 2200, STA 2260, STA 341, or STA 326.
Component(s): Lecture
Grading Basis: Graded Only
Repeat for Credit: May be taken only once