EE 381M: Probability and Stochastic Processes II

Random walk and Brownian motion; renewal and regenerative processes; Markov processes; ergodic theory; continuous parameter martingales; stochastic differential equations; diffusions; stochastic control; multidimensional stochastic models.

Course Level: 

Graduate

Prerequisites: 

Graduate standing, and Electrical Engineering 381J or consent of instructor.