EE 605 Probability and Stochastic Processes I
Axioms of probability; discrete and continuous random vectors; functions of random variables; expectations, moments, characteristic functions, and moment generating functions; inequalities, convergence concepts, and limit theorems; central limit theorem; and characterization of simple stochastic processes: widesense stationality and ergodicity.
Cross Listed Courses
CS 505, NIS 605
Prerequisite
No Freshmen or Sophomores Cohort
Distribution
Computer Science Program
Electrical Engineering Program
Information and Data Engineering ProgramOffered
Fall Semester
Spring Semester