This course is typically offered in Fall and Spring.Counting techniques, axiomatic definition of probability, conditional probability, independence of events, Bayes Theorem, random variables, discrete and continuous probability distributions, expected values, moments and moment generating functions, joint probability distributions, functions of random variables, covariance and correlation. NOTE: Prior to summer 2010, the course title was "Introduction to Probability Theory."
Credit Hours: 3.000
Levels: Graduate, NonDegree Continuing Undergrad, Undergraduate
Schedule Types: Base Lecture
Division: Undergraduate
Department: CST:Mathematics
|