| Week |
Date |
Topic |
Lecture Slides |
R Session |
R Lab |
Project |
| 0 |
|
Course Information |
Slides 0 |
|
|
|
| 1 |
Aug. 19 - Aug. 21 |
Introduction and Multivariate Data Exploration |
Slides 1 |
R session 1 |
|
|
| 2 |
Aug. 24 - Aug. 28 |
A Short Review of Matrix Algebra |
Slides 2 |
R session 2 |
R Lab 1 Due: Aug. 27 |
|
| 3 |
Sep. 1 - Sep. 4 |
Multivariate Normal Distributions and Copula Models |
Slides 3 |
R session 3 |
R Lab 2 Due: Sep. 3 |
|
| 4 |
Sep. 7 - Sep. 11 |
Inference and Comparison of Mean Vectors |
Slides 4 |
R session 4 |
R Lab 3 Due: Sep. 10 |
|
| 5 |
Sep. 14 - Sep. 18 |
Multivariate Regression I |
Slides 5 |
R session 5 |
R Lab 4 Due: Sep. 17 |
|
| 6 |
Sep. 21 - Sep. 25 |
Multivariate Regression II |
Slides 6 |
R session 6 |
|
Project I Due: Sep. 24 11:59pm EDT |
| 7 |
Sep. 28 - Oct. 2 |
Inference for Covariance Matrix |
Slides 7 |
R session 7 |
R Lab 5 Due: Oct. 1 |
|
| 8 |
Oct. 5 - Oct. 9 |
Principal Components Analysis |
Slides 8 |
R session 8 |
R Lab 6 Due: Oct. 8 |
|
| 9 |
Oct. 12 - Oct. 16 |
Factor Analysis |
Slides 9 |
R session 9 |
R Lab 7 Due: Oct. 15 |
|
| 10 |
Oct. 19 - Oct. 23 |
Canonical Correlation Analysis |
Slides 10 |
R session 10 |
R Lab 8 Due: Oct. 22 |
|
| 11 |
Oct. 26 - Oct. 30 |
Discrimination and Classification |
Slides 11 |
R session 11 |
R Lab 9 Due: Oct. 29 |
|
| 12 |
Nov. 2 - Nov. 6 |
Cluster Analysis |
Slides 12 |
R session 12 |
|
Project II Due: Nov. 5 11:59pm EDT |
| 13 |
Nov. 9 - Nov. 13 |
Multidimensional Scaling and Distance Embedding |
Slides 13 |
R session 13 |
R Lab 10 Due: Nov. 12 |
|
| 14 |
Nov. 16 - Nov. 20 |
Manifold Learning and Nonlinear Embedding Methods |
Slides 14 |
R session 14 |
R Lab 11 Due: Nov. 21 |
|
| 15 |
Nov. 23 - Nov. 27 |
No Class--Thanksgiving |
|
|
|
|
| 16 |
Nov. 30 - Dec. 4 |
Review |
Slides 15 |
|
|
Project III Due: Dec. 3 11:59pm EST |