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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