Note: Due dates of exams will not move, however the timeline of topics and smaller assignments might be updated throughout the semester. All videos should be downloaded in advance to avoid issues with internet connections. This can be done either by clicking on each video. A more automated way would be to clone to repository. All videos, are stored in videos/ under each lecture files.

https://github.com/resteorts/modern-bayes/blob/master/lecturesModernBayes20/lecture-7/07-reading.txt
Date Lesson Slides Video Video Lab RMD/PDF Lab Video Lab Partial Solution HW Misc Reading
Week 00 (Due before 1st Day of Class)
Tues, Aug 18 Welcome to STA 360
Thur, Aug 20 Module 1: Intro to Bayes
Fri, Aug 21 Lab 2: Intro to Bayes
Week 01
Tues, Aug 25 Module 2: Intro to Decision Theory
Thur, Aug 27 Finish Modules 1-2, Answering Questions
Fri, Aug 28 Lab 3: Intro to Decision Theory
Week 02
Tues, Sep 1 Module 3: Intro to Normal Conjugacy
Thur, Sep 3 Module 4: Intro to Normal-Gamma Conjugacy
Fri, Sep 4 Lab 4: Intro to Normal Gamma Conjugacy
Week 03
Tues, Sep 8 Module 5: Intro to Monte Carlo
Thur, Sep 10 Module 5: Continuation of Monte Carlo Methods
Fri, Sep 11 Lab 5: Intro to Monte Carlo (Rejection Sampling)
Week 04
Tues, Sep 15 Module 6: Introduction to Metropolis
Thur, Sep 17 Module 6: Intro to Metropolis (Continued)
Fri, Sep 18 Lab 6: Intro to Monte Carlo
Week 05: Exam I
Tues, Sep 22 Review for Exam I
Thur, Sep 24 Exam I (In Class)
Fri, Sep 25 Lab 6: Intro to Monte Carlo
Week 06: Gibbs Sampling, Part I
Tues, Sep 29 Module 7: Gibbs Sampling, Part I
Thurs, Oct. 1 Module 7: Gibbs Sampling, Part I (Continued)
Fri, Oct 2 Lab 7: Intro to Gibbs Sampling
Week 07: Gibbs Sampling (Parts II and III)
Tues, Oct. 6 Module 7: Gibbs Sampling, Part II
Thurs, Oct. 8 Module 7: Gibbs Sampling, Part III
Fri, Oct. 9 Lab: Review of Practice Problems and Current Material
Week 08: Module 7: Gibbs Sampling, Part IV and Module 8: Multivariate Normal Distribution
Tues, Oct. 13 Module 7: Gibbs Sampling, Part IV
Thurs, Oct. 15 Module 8: The Multivariate Normal Distribution
Fri, Oct. 16 Lab 8: Gibbs Sampling, Mixture Models, and Data Augmentation
Week 09: Multivariate Normal Distribution and Missing Data
Tuesday, Oct. 20 Module 8: The Multivariate Normal Distribution (Continued)
Thursday, Oct. 22 Module 8: The Multivariate Normal Distribution and Missing Data
Fri, Oct. 23 Lab 9: Homework Exercises (that correspond to homework 7)
Week 10: Exam II
Tues., Oct. 27 Review Session for Exam II
Thurs., Oct. 29 Exam II
Fri, Oct. 30 Lab 9: Homework Exercises (that correspond to homework 7)
Week 11: Multivariate Gaussian, MLE, and Regression
Tues., Nov. 3 Asynchronous Lecture (Election Day)
Thur., Nov. 5 Linear Regression
Fri, Nov. 6 Lab 10: Linear Regression
Week 12: Regression Continued
Tues., Nov. 10 Module 9: Linear Regression (Continued)
Thur., Nov. 12 Logistic Regression
Fri, Nov. 13 Preparing for the Final Exam