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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| Tues, Aug 24 |
Welcome to STA 360 |
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| Thur, Aug 26 |
Module 1: Intro to Bayes |
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| Fri, Aug 27 |
Lab 2: Intro to Bayes |
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Week 01 |
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| Tues, Aug 31 |
Module 2: Intro to Decision Theory |
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| Thur, Sep 2 |
Finish Modules 1-2, Answering Questions |
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| Fri, Sep 3 |
Lab 3: Intro to Decision Theory |
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Week 02 |
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| Tues, Sep 7 |
Module 3: Intro to Normal Conjugacy |
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| Thur, Sep 9 |
Module 4: Intro to Normal-Gamma Conjugacy |
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| Fri, Sep 10 |
Lab 4: Intro to Normal Gamma Conjugacy |
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Week 03 |
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| Tues, Sep 14 |
Module 5: Intro to Monte Carlo |
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| Thur, Sep 16 |
Module 5: Continuation of Monte Carlo Methods |
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| Fri, Sep 17 |
Lab 5: Intro to Monte Carlo (Rejection Sampling) |
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Week 04 |
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| Tues, Sep 21 |
Module 6: Introduction to Metropolis |
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| Thur, Sep 23 |
Module 6: Intro to Metropolis (Continued) |
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| Fri, Sep 24 |
Lab 6: Intro to Monte Carlo |
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Week 05: Exam I |
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| Tues, Sep 28 |
Review for Exam I |
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| Thur, Sep 30 |
Exam I (In Class) |
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| Fri, Sep 30 |
Lab 6: Intro to Monte Carlo |
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https://github.com/resteorts/modern-bayes/blob/master/lecturesModernBayes20/lecture-7/07-reading.txt
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Week 06: Gibbs Sampling, Part I |
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| Tues Oct 5 (Watch videos on your own) |
Module 7: Gibbs Sampling, Part I |
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| Thurs, Oct. 7 |
Module 7: Gibbs Sampling, Part I (Continued) |
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| Fri, Oct 9 |
Lab 7: Intro to Gibbs Sampling |
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Week 07: Gibbs Sampling (Parts II and III) |
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| Tues, Oct. 12 |
Module 7: Gibbs Sampling, Part II |
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| Thurs, Oct. 14 |
Module 7: Gibbs Sampling, Part III |
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| Fri, Oct. 16 |
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, Oct. 19 |
Module 7: Gibbs Sampling, Part IV |
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| Thurs, Oct. 21 |
Module 8: The Multivariate Normal Distribution |
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| Fri, Oct. 22 |
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, Oct. 26 |
Module 8: The Multivariate Normal Distribution (Continued) |
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| Thursday, Oct. 28 |
Module 8: The Multivariate Normal Distribution and Missing Data |
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| Fri, Oct. 29 |
Lab 9: Homework Exercises (that correspond to homework 7) |
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Week 10: Exam II |
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| Tues., Nov. 2 |
Review Session for Exam II |
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| Thurs., Nov. 4 |
Exam II |
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| Fri, Nov. 5 |
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., Nov. 9 |
Asynchronous Lecture (Election Day) |
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| Thur., Nov. 11 |
Linear Regression |
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| Fri, Nov. 12 |
Lab 10: Linear Regression |
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Week 12: Regression Continued |
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| Tues., Nov. 16 |
Module 9: Linear Regression (Continued) |
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| Thur., Nov. 18 |
Logistic Regression |
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| Fri, Nov. 19 |
Preparing for the Final Exam |
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