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.
| Date |
Lesson |
Slides |
Video |
Video |
Lab RMD/PDF |
Lab Video |
Lab Partial Solution |
HW |
Misc |
Reading |
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Week 00 (Due before 1st Day of Class) |
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| Thurs. Jan 12 |
Welcome to STA 360/602! |
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| Thurs. Jan 12 |
Module 1: Intro to Bayes |
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| Fri, Jan 12 |
Lab 2: Intro to Bayes (Watch Videos) |
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Week 01 |
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| Tues, Jan 17 |
Module 2: Intro to Decision Theory |
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| Thur, Jan 19 |
Finish Modules 1-2, Answering Questions |
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| Fri, Jan 20 |
Lab 3: Intro to Decision Theory (Watch Videos) |
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Week 02 |
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| Tues, Jan 24 |
Module 3: Intro to Normal Conjugacy |
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| Thur, Jan 26 |
Module 4: Intro to Normal-Gamma Conjugacy |
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| Fri, Jan 27 (Watch Videos) |
Lab 4: Intro to Normal Gamma Conjugacy |
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Week 03 |
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| Tues, Jan 31 |
Module 5: Intro to Monte Carlo |
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| Thur, Feb 2 |
Module 5: Continuation of Monte Carlo Methods |
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| Fri, Feb 3 (Watch Videos) |
Lab 5: Intro to Monte Carlo (Rejection Sampling) |
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Week 04 |
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| Tues, Feb 7 |
Module 6: Introduction to Metropolis |
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| Thur, Feb 9 |
Module 6: Intro to Metropolis (Continued) |
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| Fri, Feb 10 |
Lab 6: Intro to Monte Carlo |
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Week 05: Exam I |
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| Tues, Feb 14 |
Review for Exam I |
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| Thur, Feb 16 |
Exam I (In Class) |
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| Fri, Feb 17 |
Lab 6: Intro to Monte Carlo |
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Week 06: Gibbs Sampling, Part I |
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| Tues Feb 21 |
Module 7: Gibbs Sampling, Part I |
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| Thurs, Feb 23 |
Module 7: Gibbs Sampling, Part I (Continued) |
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| Fri, Feb 24 |
Lab 7: Intro to Gibbs Sampling |
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Week 07: Gibbs Sampling (Parts II and III) |
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| Tues, Feb 28 |
Module 7: Gibbs Sampling, Part II |
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| Thurs, Mar 2 |
Module 7: Gibbs Sampling, Part III |
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| Fri, Mar 3 |
Lab: Review of Practice Problems and Current Material |
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Week 08: Module 7: Gibbs Sampling, Part IV and Module 8: Multivariate Normal Distribution |
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| Tues, March 7 |
Module 7: Gibbs Sampling, Part IV |
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| Thurs, March 9 |
Module 8: The Multivariate Normal Distribution |
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| Fri, March 10 |
Lab 8: Gibbs Sampling, Mixture Models, and Data Augmentation |
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Week 09: Multivariate Normal Distribution and Missing Data |
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| Tuesday, March 15 |
Module 8: The Multivariate Normal Distribution (Continued) |
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| Thursday, March 17 |
Module 8: The Multivariate Normal Distribution and Missing Data |
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| Fri, March 18 |
Lab 9: Homework Exercises (that correspond to homework 7) |
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Week 10: Exam II |
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| Tues., March 22 |
Review Session for Exam II |
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| Thurs., March 24 |
Exam II |
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| Fri, March 25 |
Lab 9: Homework Exercises (that correspond to homework 7) |
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Week 11: Multivariate Gaussian, MLE, and Regression |
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| Tues., March 29 |
Asynchronous Lecture (Election Day) |
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| Thur., March 31 |
Linear Regression |
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| Fri, April 1 |
Lab 10: Linear Regression |
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Week 12: Regression Continued |
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| Tues., April 5 |
Module 9: Linear Regression (Continued) |
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| Thur., April 7 |
Logistic Regression |
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| Fri, April 8 |
Preparing for the Final Exam |
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