Units: 4
Hours: Lecture, 3 hours; individual study, 2 hours, written work, 4 hours
Catalog page 480
Prerequisites: MATH 149A or equivalent; or consent of instructor
Description: Introduces probability theory from the measure-theoretic perspective. Topics include construction of independent random variables, laws of large numbers, central limit theorems, and concentration of measure of sums of independent variables.