|
Date
|
Topic
|
|
Labs |
Handouts |
| 01/28 |
Intro |
|
|
intro |
| 01/30 |
Basic tasks |
Ward: chapter 1 |
|
basicTasks |
| 02/04 |
Basic tasks continued |
|
lab1 |
see above |
| 02/06 |
Data preparation |
Ward: chapter 2 |
|
dataPrep |
| 02/11 |
Intro to D3 |
see recorded tutorial on Brightspace, D3 files |
|
D3intro |
| 02/13 |
Visual bias |
see links on last slide |
|
bias |
| 02/18 |
Data reduction and similarity metrics |
Aggarwal 2.4.3.1, 2.4.1, 6.3.1 |
|
dataDimRed |
| 02/20 |
Dimension reduction |
|
|
see above |
| 02/25 |
Perception and cognition |
Ward: chapter 3 |
lab2a |
perception |
| 02/27 |
Visual design and aesthetics |
Ward: chapter 4, Munzner: chapter 5 |
|
design |
| 03/04 |
High-D visualization (part 1) |
Ward: chapter 8 |
|
highD |
| 03/06 |
High-D visualization (part 2) |
|
|
see above |
| 03/11 |
High-D visualization (part 3) |
|
lab2b |
see above |
| 03/13 |
Cluster analysis - numerical data |
Aggarwal 6.4-5 |
|
cluster |
| 03/18 |
no class (Spring Break) |
|
|
see above |
| 03/20 |
no class (Spring Break) |
|
|
|
| 03/25 |
Cluster analysis - categorical data |
|
|
|
| 03/27 |
Midterm 1 |
|
|
|
| 04/01 |
|
|
|
|
| 04/03 |
|
|
|
|
| 04/08 |
|
|
|
|
| 04/10 |
|
|
|
|
| 04/15 |
|
|
|
|
| 04/17 |
|
|
|
|
| 04/22 |
|
|
|
|
| 04/24 |
|
|
|
|
| 04/29 |
|
|
|
|
| 05/01 |
|
|
|
|
| 05/03 |
|
|
|
|
| 05/08 |
Midterm 2 |
|
|
|
| 05/13 |
8:30-11:00 pm: Final Project presentations |
|
|
|
