Course Description
Pre-Requisite(s):
A prior course in calculus II
Discipline(s):
Quantification, Computation & Data Analysis
This course provides an overview of basic probability and matrix algebra required for statistics. Topics include sample spaces and events, properties of probability, conditional probability, discrete and continuous random variables, expected values, joint distributions, matrix arithmetic, matrix inverses, systems of linear equations, eigenspaces, and covariance and correlation matrices.
