Mathematical and Statistical Foundations

4 credits

This course reviews essential calculus and linear algebra and introduces probability theory (probability rules, random variables, univariate and multivariate distributions) and mathematical statistics (sampling distributions, estimation and inference frameworks). Prerequisites: graduate standing.