ST 503 Fundamentals of linear models and regression
Link: Syllabus.
Personal note to students: Please do not feel intimidated about interacting with me. Regardless of how busy or stressed I may appear to you, teaching your class is a part of my job, and I take that very seriously. I care deeply about the quality of your learning. Please always reach out to me if you have questions, concerns, or need help. I understand that it can be difficult and can even feel embarrassing to ask for help. However, I was once in your position, and I promise to always treat you with respect, empathy, and kindness. Nobody that ever did anything meaningful did so without first failing over and over again.
Link: Lecture notes
Course project
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Link: Project description.
Link: Project grading rubric.
Due: 31 July 2026
R code from lectures
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Link: Lecture code 1.
Link: R tutorial.
20 May 2026
Link: Lecture code 2.
22 May 2026
Homework assignments
- Link: Homework 1.
Due: 23:59 ET on 27 May 2026
- Link: Homework 2.
Due: 23:59 ET on 3 June 2026