| Week |
Date |
Topic |
Lecture Notes |
R Session |
R Lab |
Project |
| 1 |
Jan. 5 - Jan. 9 |
Course Information and Review of Simple Linear Regression |
Slides 0; Slides 1 |
R Session 0; R Session 1 |
|
|
| 2 |
Jan. 12 - Jan. 16 |
Multiple Linear Regression I: Estimation and Inference |
Slides 2 |
R Session 2 |
R Lab 1 Due: Jan. 15 |
|
| 3 |
Jan. 19 - Jan. 23 |
Multiple Linear Regression II: Inference and Prediction |
Slides 3 |
R Session 3 |
R Lab 2 Due: Jan. 22 |
|
| 4 |
Jan. 26 - Jan. 30 |
Multiple Linear Regression III: Model Selection and Model Checking |
Slides 4 |
R Session 4 |
R Lab 3 Due: Jan. 29 |
|
| 5 |
Feb. 2 - Feb. 6 |
Analysis of covariance (ANCOVA); Non-linear Regression |
Slides 5 |
R Session 5 |
R Lab 4 Due: Feb. 5 |
|
| 6 |
Feb. 9 - Feb. 13 |
Non-parametric Regression and Shrinkage Methods |
Slides 6 |
R Session 6 |
R Lab 5 Due: Feb. 12 |
|
| 7 |
Feb. 16 - Feb. 20 |
Logistic Regression, Poisson Regression, and Generalized Linear Model |
Slides 7 |
R Session 7 |
|
Project I Due: Feb. 19 |
| 8 |
Feb. 23 - Feb. 27 |
Introduction to Design of Experiments |
Slides 8 |
R Session 8 |
R Lab 6 Due: Feb. 26 |
|
| 9 |
Mar. 2 - Mar. 6 |
Completely Randomized Designs |
Slides 9 |
R Session 9 |
|
|
| 10 |
Mar. 9 - Mar. 13 |
Randomized Complete Block Designs, Factorial Designs, and Split-Plot Designs |
Slides 10 |
R Session 10 |
R Lab 7 Due: Mar. 12 |
|
| 11 |
Mar. 16 - Mar. 20 |
No class - Univeristy Spring Break |
|
|
|
|
| 12 |
Mar. 23 - Mar. 27 |
Random and Mixed Effects Models, Computer Experiments |
Slides 11 |
R Session 11 |
R Lab 8 Due: Mar. 26 |
|
| 13 |
Mar. 30 - Apr. 3 |
Time Series Analysis I |
Slides 12 |
R Session 12 |
|
Project II Due: Apr. 2 |
| 14 |
Ap. 6 - Apr. 10 |
Time Series Analysis II |
Slides 13 |
R Session 13 |
|
|
| 15 |
Apr. 13 - Apr. 17 |
Spatial Statistics I |
Slides 14 |
R Session 14 |
R Lab 9 Due: Apr. 16 |
|
| 16 |
Apr. 20 - Apr. 24 |
Spatial Statistics II |
Slides 15 |
R Session 15 |
R Lab 10 Due: Apr. 23 |
|
| 17 |
Apr. 27 - May 1 |
|
|
|
|
Project III Due: Apr. 30 |