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 |
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Week 00 |
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Wed. Jan 8 |
Module 1: Welcome to STA 310 |
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Fri, Jan 10 |
Module 1: Big Picture Concepts |
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Week 01 |
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Mon, Jan 13 |
Module 2: Review of Multiple Linear Regression |
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Wed, Jan 15 |
Module 3: Common Distributions |
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Fri, Jan 17 |
Lab/Office Hours |
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Week 02 |
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Mon, Jan 20 |
No Class: MLK Day |
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Wed, Jan 22 |
Module 4: Likelihoods |
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Fri, Jan 25 |
Office Hours/Labs |
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Week 03 |
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Mon, Jan 27 |
Module 4: Likelihoods |
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Wed. Jan 29 |
Module 4: Likelihoods and Exercises |
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Fri, Jan 31 |
Lab/OH |
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Week 04 |
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Mon, Feb 5 |
Module 5: Intro to Poisson Regression |
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Wed, Feb 5 |
Module 5: Intro to Poisson Regression (Continued) |
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Fri, Feb 7 |
Lab/OH |
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Week 05 |
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Mon, Feb 10 |
Module 5: Intro to Poisson Regression (Continued) |
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Wed, Feb 12 |
Module 5: Intro to Poisson Regression (Continued) |
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Fri, Feb 14 |
Lab/OH |
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Week 06: Theory of Generalized Linear Models |
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Monday Feb 17 |
Module 6: Theory of GLMs |
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Wed, Feb 19 |
Module 6: Theory of GLMs (Part I and II) |
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Fri, Feb 21 |
Lab/OH |
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