I am not teaching in the 2022 academic year. I last taught in Spring 2022 the course
STA 211: The Mathematics of Regression.
In this course, we learn the mathematics underpinning linear regression and logistic regression, the two most common models used in applied statistics. We see how matrix algebra enables a very practical representation of regression modeling, helps us understand how and why regression works, and offers convenient maximum likelihood estimation of regression model parameters. In STA 211, we emphasize mathematics and theory over data analysis (whereas STA 210 emphasizes data analysis over theory), although we continuously connect to topics in data analysis. This course is 0.5 credits.