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
Wed. Jan 8 Module 1: Welcome to STA 310
Fri, Jan 10 Module 1: Big Picture Concepts
Week 01
Mon, Jan 13 Module 2: Review of Multiple Linear Regression
Wed, Jan 15 Module 3: Common Distributions
Fri, Jan 17 Lab/Office Hours
Week 02
Mon, Jan 20 No Class: MLK Day
Wed, Jan 22 Module 4: Likelihoods
Fri, Jan 25 Office Hours/Labs
Week 03
Mon, Jan 27 Module 4: Likelihoods
Wed. Jan 29 Module 4: Likelihoods and Exercises
Fri, Jan 31 Lab/OH
Week 04
Mon, Feb 5 Module 5: Intro to Poisson Regression
Wed, Feb 5 Module 5: Intro to Poisson Regression (Continued)
Fri, Feb 7 Lab/OH
Week 05
Mon, Feb 10 Module 5: Intro to Poisson Regression (Continued)
Wed, Feb 12 Module 5: Intro to Poisson Regression (Continued)
Fri, Feb 14 Lab/OH
Week 06: Theory of Generalized Linear Models
Monday Feb 17 Module 6: Theory of GLMs
Wed, Feb 19 Module 6: Theory of GLMs (Part I and II)
Fri, Feb 21 Lab/OH
Week 07: Theory of GLMs (continued)
Mon, Feb 24 Module 6: Theory of GLMs, Part II
Wed, Feb 26 Module 6: Theory of GLMs (continued)
Fri, Feb 28 Lab/OH
Week 08: Theory of GLMs (continued)
Mon, March 3 Module 6: Theory of GLMs, Part II and III
Wed, March 5 Quiz 2
Fri, March 7 Lab/OH
Week 09: Spring Break
Mon, March 10 Spring Break
Wed, March 12 Spring Break
Fri, March 14 Spring Break
Week 08: Theory of GLMs (continued)
Mon, March 17 Module 6: Theory of GLMs, Part II and III and IV
Wed, March 19 Module 7: Intro to Logistic Regression
Fri, March 21 Lab/OH
Week 10: Logistic Regression
Mon, March 24 Module 7: Intro to Logistic Regression
Wed, March 26 Intro to Logistic Regression (continued)
Fri, March 28 Lab/OH