MAT 419 Probability Models

This course explores elementary stochastic processes, both theoretically and computationally. The course helps students learn to build mathematical descriptions of random processes that change over time. Topics include Poisson Processes, Markov chains (discrete and continuous), Queueing Theory, and Applications of Renewal Theory.

Credits

3

Prerequisite

MAT 310 and CSC 220.