CS 505 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
EE 605, NIS 605
Prerequisite
No Freshmen or Sophomores Cohort
Distribution
Computer Science Program
Electrical Engineering Program
Information and Data Engineering Program