Semester Hours:3 Every Other Year
Graduate introduction to the basic concepts of probability theory aimed towards
later applications. Review of needed set theory, counting principles, discrete
and continuous probability, random variables, expectations, moment generating
functions, distributions, central limit theorem.
Prerequisite(s)/Course Notes: MATH 131, 135A, 171.