Note: The timeline of topics and assignments might be updated throughout the semester.
| 1 |
20 Oct |
Syllabus, Chapter 1 - Review MLR |
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| 2 |
21 Oct |
Chapter 2 - Likelihoods |
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| 3 |
22 Oct |
Chapter 3 - Distributions |
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| 4 |
23 Oct |
Chapter 4 - Poisson Regression |
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| 5 |
24 Oct |
Poisson Regression Mini Project |
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| 6 |
27 Oct |
Ch 4 - Poisson Reg. & Ch 5 - GLMs |
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| 7 |
28 Oct |
Ch 5 - GLMs & Ch 6 - Logistics Reg. |
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| 8 |
29 Oct |
Ch 6 - Logistics Regression (no afternoon class) |
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| 9 |
30 Oct |
GLM Mini Project |
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| 10 |
31 Oct |
Exam |
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| 11 |
3 Nov |
Ch 7 - Correlated Data & Ch 8 - Multilevel Models |
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| 12 |
4 Nov |
Chapter 8 - Multilevel Models |
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| 13 |
5 Nov |
Chapter 8 - Multilevel Models |
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| 14 |
6 Nov |
Chapter 9 - Two-Level Longitudinal Data |
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| 15 |
7 Nov |
Multilevel Model Practice |
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| 16 |
10 Nov |
Polynomial Regression, Splines, and GAMs |
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| 17 |
11 Nov |
Polynomial Regression, Splines, and GAMs |
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| 18 |
12 Nov |
Exam |
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