Week |
Date |
Topic |
Lecture Notes |
R Session |
R Lab |
Project |
0 |
Jan. 2 - Jan.5 |
Course Information |
Slides 0 |
R Session 0 |
|
|
1 |
Jan. 8 - Jan.12 |
Review of Simple Linear Regression |
Slides 1 |
R Session 1 |
|
|
2 |
Jan. 16 - Jan. 19 |
Multiple Linear Regression I: Estimation and Inference |
Slides 2 |
R Session 2 |
R Lab 1 Due: Jan. 18 |
|
3 |
Jan. 22 - Jan. 26 |
Multiple Linear Regression II: Inference and Prediction |
Slides 3 |
R Session 3 |
R Lab 2 Due: Jan. 25 |
|
4 |
Jan. 29 - Feb. 2 |
Multiple Linear Regression III: Model Selection and Model Checking |
Slides 4 |
R Session 4 |
R Lab 3 Due: Feb. 1 |
|
5 |
Feb. 5 - Feb. 9 |
Analysis of covariance (ANCOVA); Non-linear Regression |
Slides 5 |
R Session 5 |
R Lab 4 Due: Feb. 8 |
|
6 |
Feb. 12 - Feb. 16 |
Non-parametric Regression and Shrinkage Methods |
Slides 6 |
R Session 6 |
R Lab 5 Due: Feb. 15 |
|
7 |
Feb. 19 - Feb. 23 |
Logistic Regression, Poisson Regression, and Generalized Linear Model |
Slides 7 |
R Session 7 |
|
Project I Due: Feb. 22 |
8 |
Feb. 26 - Mar. 1 |
Introduction to Design of Experiments |
Slides 8 |
|
R Lab 6 Due: Feb. 29 |
|
9 |
Mar. 4 - Mar. 8 |
Completely Randomized Designs |
Slides 9 |
R Session 8 |
|
|
10 |
Mar. 11 - Mar. 15 |
Randomized Complete Block Designs, Factorial Designs, and Split-Plot Designs |
Slides 10 |
R Session 9 |
R Lab 7 Due: Mar. 14 |
|
11 |
Mar. 18 - Mar. 22 |
No class - Univeristy Spring Break |
|
|
|
|
12 |
Mar. 25 - Mar. 29 |
Random and Mixed Effects Models, Computer Experiments |
Slides 11 |
R Session 10 |
R Lab 8 Due: Mar. 28 |
|
13 |
Apr. 1 - Apr. 5 |
Time Series Analysis I |
Slides 12 |
R Session 11 |
|
Project II Due: Apr. 4 |
14 |
Ap. 8 - Apr. 12 |
Time Series Analysis II |
Slides 13 |
R Session 12 |
|
|
15 |
Apr. 15 - Apr. 19 |
Spatial Statistics I |
Slides 14 |
R Session 13 |
R Lab 9 Due: Apr. 18 |
|
16 |
Apr. 22 - Apr. 26 |
Spatial Statistics II |
Slides 15 |
R Session 14 |
R Lab 10 Due: Apr. 25 |
|
17 |
Apr. 29 - May 3 |
|
|
|
|
Project III Due: May 2 |