ECE X81M ECE 381M Probability and Stochastic Processes II 3 Hours
3 Lecture Hours 0 Lab Hours
Examine random walk and Brownian motion; renewal and regenerative processes; Markov processes; ergodic theory; continuous parameter martingales; stochastic differential equations; diffusions; stochastic control; and multidimensional stochastic models. Electrical and Computer Engineering 381M and Electrical Engineering 381M may not both be counted. Three lecture hours a week for one semester.
Pre/Corequisites: Graduate standing and Electrical and Computer Engineering 381J (or Electrical Engineering 381J).
Grading: Student Option
Repeatable for credit: No
Academic Level: Doctoral