MATH 631 - Introduction to Stochastic Processes (3cr.)

Credit(s): 3

INTRO TO STOCHASTIC PROCESSES
Component: Lecture
Classical stochastic processes with emphasis on their properties which do not involve measure theory. Markov chains in discrete and in continuous time with examples from random walk, birth and death processes, branching processes and queuing theory. Renewal and Markov renewal processes. Basic notions of Brownian motion and second-order processes.
Allowed Units: 3 Grading Basis: Student Option
PREREQ: MATH 630 or equivalent. RESTRICTIONS: Undergraduate students must have a B or better in six credits of MATH at the 400 level or 500 level, exclusive of MATH 518 and MATH 540.

Course Typically Offered: Spring