Probability & Statistics
Course #: MATH 345, Class #: 1033, Section #: 01
Description
Introduction to the fundamental ideas and techniques of probability theory. Topics covered: properties of probability, independence, conditional probability, discrete and continuous random variables, density and distribution function, expectation, variance, covariance, moments, correlation, joint distribution, marginal, some common distributions such as uniform, Bernoulli, binomial, exponential, Poisson and normal distribution, and the Central Limit Theorem. The course also introduces some basic ideas of statistical analysis, e.g. parameter estimation and hypothesis testing.
Prerequisites
MATH 141
Course Details
Date / Time
6/1/26 - 7/9/26
TuTh 1:30p.m. – 4:30p.m.
Location
Wheatley-Peters W01-0045
Credits
3
Session
Summer Session 1, 6 weeks
Class Dates
6/1/2026 - 7/9/2026
Location
Wheatley-Peters W01-0045
Enrolled / Capacity
15 / 26
Status
Open