Instructor
Zhuang

A study of probability theory relative to both discrete and continuous probability laws. Topics include independence and dependence, mean, variance and expectation, random variables, jointly distributed probability laws, Chebysheff's Inequality and a version of the Central Limit Theorem. Applications of probability theory are approached through a variety of idealized problems.

Prerequisites
Mathematics 113, and either 140 or 160. (Fall)

Class Details
Course MAT 340
Section 0
CRN 50324
Time T R
Time 0815 - 0930am
Building
Instructor Carl Yerger
Notes
Max 30
Current 18
Remaining 12
Semester Fall 2020