Week |
Date |
Topic |
Lecture Notes |
R Session |
R Lab |
Project |
0 |
Jan. 2 - Jan.5 |
Course Information |
Slides 0 |
R Session 0 |
|
|
1 |
Jan. 6 - Jan.10 |
Review of Simple Linear Regression |
Slides 1 |
R Session 1 |
|
|
2 |
Jan. 13 - Jan. 17 |
Multiple Linear Regression I: Estimation and Inference |
Slides 2 |
R Session 2 |
R Lab 1 Due: Jan. 16 |
|
3 |
Jan. 20 - Jan. 24 |
Multiple Linear Regression II: Inference and Prediction |
Slides 3 |
R Session 3 |
R Lab 2 Due: Jan. 23 |
|
4 |
Jan. 27 - Jan. 31 |
Multiple Linear Regression III: Model Selection and Model Checking |
Slides 4 |
R Session 4 |
R Lab 3 Due: Jan. 30 |
|
5 |
Feb. 3 - Feb. 7 |
Analysis of covariance (ANCOVA); Non-linear Regression |
Slides 5 |
R Session 5 |
R Lab 4 Due: Feb. 6 |
|
6 |
Feb. 10 - Feb. 14 |
Non-parametric Regression and Shrinkage Methods |
Slides 6 |
R Session 6 |
R Lab 5 Due: Feb. 13 |
|
7 |
Feb. 17 - Feb. 21 |
Logistic Regression, Poisson Regression, and Generalized Linear Model |
Slides 7 |
R Session 7 |
|
Project I Due: Feb. 20 |
8 |
Feb. 24 - Feb. 28 |
Introduction to Design of Experiments |
Slides 8 |
R Session 8 |
R Lab 6 Due: Feb. 27 |
|
9 |
Mar. 3 - Mar. 7 |
Completely Randomized Designs |
Slides 9 |
R Session 9 |
|
|
10 |
Mar. 10 - Mar. 14 |
Randomized Complete Block Designs, Factorial Designs, and Split-Plot Designs |
Slides 10 |
R Session 10 |
R Lab 7 Due: Mar. 13 |
|
11 |
Mar. 17 - Mar. 21 |
No class - Univeristy Spring Break |
|
|
|
|
12 |
Mar. 24 - Mar. 28 |
Random and Mixed Effects Models, Computer Experiments |
Slides 11 |
R Session 11 |
R Lab 8 Due: Mar. 27 |
|
13 |
Mar. 31 - Apr. 4 |
Time Series Analysis I |
Slides 12 |
R Session 12 |
|
Project II Due: Apr. 3 |
14 |
Ap. 7 - Apr. 11 |
Time Series Analysis II |
Slides 13 |
R Session 13 |
|
|
15 |
Apr. 14 - Apr. 18 |
Spatial Statistics I |
Slides 14 |
R Session 14 |
R Lab 9 Due: Apr. 17 |
|
16 |
Apr. 21 - Apr. 25 |
Spatial Statistics II |
Slides 15 |
R Session 15 |
R Lab 10 Due: Apr. 24 |
|
17 |
Apr. 28 - May 2 |
|
|
|
|
Project III Due: May 1 |