Note: We thank Maria Tackett and the authors of BMLR, who developed the core content of the course and we provide attribution to along the way in our presentation of materials.

Date Lesson Slides Slides Video HW HW Misc Misc Misc Reading
Week 00
Thurs. Jan 8 Module 1: Welcome to STA 310
Fri, Jan 9 Module 1: Big Picture Concepts
Week 01
Tues., Jan 13 Module 2: Review of Multiple Linear Regression
Thurs., Jan 15 Module 3: Common Distributions
Fri, Jan 16 Lab/Office Hours
Week 02
Tues, Jan 20 Module 4: Likelihoods
Thurs, Jan 22 Module 4: Likelihoods
Fri, Jan 23 Office Hours/Labs
Week 03
Tues, Jan 27 Module 4: Likelihoods
Thurs. Jan 29 Module 4: Likelihoods and Exercises
Fri, Jan 30 Lab/OH
Week 04
Tues, Feb 3 Module 5: Intro to Poisson Regression
Thurs, Feb 5 Module 5: Intro to Poisson Regression (Continued)
Fri, Feb 6 Lab/OH
Week 05
Tues, Feb 10 Module 5: Intro to Poisson Regression (Continued)
Thurs, Feb 12 Module 5: Intro to Poisson Regression (Continued)
Fri, Feb 13 Lab/OH
Week 06: Theory of Generalized Linear Models
Tues., Feb 17 Module 6: Theory of GLMs
Thurs., Feb 19 Module 6: Theory of GLMs (Part I and II)
Fri, Feb 20 Lab/OH
Week 07: Theory of GLMs (continued)
Tues, Feb 24 Module 6: Theory of GLMs, Part II
Thurs, Feb 26 Module 6: Theory of GLMs (continued)
Fri, Feb 27 Lab/OH
Week 08: Theory of GLMs (continued)
Tues, March 3 Module 6: Theory of GLMs, Part II and III
Thurs, March 5 Wrap up material
Fri, March 6 Lab/OH
Week 09: Spring Break
Tues, March 10 Spring Break
Thurs, March 12 Spring Break
Fri, March 13 Spring Break
Week 08: Theory of GLMs (continued)
Tues, March 17 Module 6: Theory of GLMs, Part II and III and IV
Thurs, March 19 Module 7: Intro to Logistic Regression
Fri, March 20 Lab/OH
Week 10: Logistic Regression
Tues, March 24 Module 7: Intro to Logistic Regression
Thurs, March 26 Intro to Logistic Regression (continued)
Fri, March 27 Lab/OH
Week 11: Logistic Regression and Quiz 3
Tues, March 31 Logistic Regression Exercises
Thurs, April 2 Quiz 3 (GLM Theory)
Fri, April 3 Lab/OH
Week 12: Module 8: The Multinomial Distribution
Tues, April 7 Module 8: The Multinomial Distribution
Thurs, April 9 Module 9: Proportional odds, Multinomial, and Probit Regression
Fri, April 10 Lab/OH