Week |
Date |
Topics |
Slides & Supplementary Material |
1 |
Mon 10/02 |
Introduction. Fundamentals of R programming. |
Slides 1 |
|
Wed 10/04 |
Fundamentals of R programming |
Slides 2 |
2 |
Mon 10/09 |
Numerical and exploratory data analysis in R |
Slides 3 |
|
Wed 10/11 |
Numerical and exploratory data analysis in R |
Slides 4 |
3 |
Mon 10/16 |
Exploratory data analysis in R |
Slides 5, Slides 6 |
|
Wed 10/18 |
Advanced graphs |
Slides 7 |
4 |
Mon 10/23 |
Advanced graphs |
Slides 8 |
|
Wed 10/25 |
Linear regression |
Slides 9 |
5 |
Mon 10/30 |
Linear regression |
Slides 10 |
|
Wed 11/01 |
ANOVA |
|
6 |
Mon 11/06 |
ANOVA |
Slides 11 |
|
Wed 11/08 |
ANOVA. |
Slides 12 |
7 |
Mon 11/13 |
Logistic regression |
Slides 13 |
|
Wed 11/15 |
Exam |
|
8 |
Mon 11/20 |
PCA and clustering |
Slides 13 |
|
Wed 11/22 |
No class meeting, online material will be posted in advance |
|
9 |
Mon 11/27 |
PCA, factor analysis and clustering |
Slides 14 |
|
Wed 11/29 |
Clustering. Acquiring and storing large datasets. |
Slides 15 |
10 |
Mon 12/04 |
Project presentations |
|
|
Wed 12/06 |
Project presentations |
|
|
|
Final project report: Due on Wed Dec 13 |
|