MATH 630 - Probability Theory and Applications (3cr.)

Credit(s): 3

PROBABILITY THRY & APPLICATION
Component: Lecture
Introduction to probability theory as background for further work in statistics or stochastic processes. Sample spaces and axioms of probability; discrete sample spaces having equally likely events; conditional probability and independence; random variables and describing their distributions; classical discrete and continuous random variables; mathematical expectation and moments of a distribution; the distribution of a function of a random variable; Chebyshev’s inequality; the law of large numbers; central limit theorem.
Allowed Units: 3 Grading Basis: Student Option
PREREQ: One semester of advanced calculus. RESTRICTIONS: Undergraduate students must have a B or better in six credits of MATH at the 400 level or 500 level, exclusive of MATH 518 and MATH 540.

Course Typically Offered: Fall