|
Date
|
Topic
|
|
Labs |
Handouts |
| 01/23 |
Intro |
|
|
intro |
| 01/25 |
Intro continued |
|
|
see above |
| 01/30 |
Basic tasks |
Ward: chapter 1 |
lab 1 |
basicTasks |
| 02/01 |
Basic tasks continued |
|
|
see above |
| 02/06 |
Intro to D3 |
see recorded tutorial on Brightspace, D3 files |
|
D3intro |
| 02/08 |
Data preparation |
Ward: chapter 2 |
|
dataPrep |
| 02/13 |
Visual bias |
see links on last slide |
|
bias |
| 02/15 |
Data reduction and similarity metrics |
Aggarwal 2.4.3.1, 2.4.1, 6.3.1 |
|
dataDimRed |
| 02/20 |
Dimension reduction |
see above |
|
see above |
| 02/22 |
Perception and cognition |
Ward: chapter 3 |
lab 2a |
percept |
| 02/26 |
Visual design and aesthetics |
Ward: chapter 4, Munzner: chapter 5 |
|
design |
| 02/28 |
High-D visualization (part 1) |
Ward: chapter 8 |
|
highdvis |
| 03/05 |
High-D visualization (part 2) |
see above |
lab2b |
see above |
| 03/07 |
High-D visualization (part 2) |
see above |
|
see above |
| 03/12 |
no class (Spring Break) |
|
|
|
| 03/14 |
no class (Spring Break) |
|
|
|
| 03/19 |
High-D visualization (part 2) and Midterm 1 review |
see above |
|
see above |
| 03/21 |
Midterm I |
|
|
|
| 03/26 |
Cluster analysis - numerical data |
Aggarwal 6.4-5 |
|
cluster |
| 03/28 |
Cluster analysis - categorical data |
|
|
see above |
| 04/02 |
Midterm returned |
|
|
|
| 04/04 |
Interaction |
Ward: chapter 11 |
project |
inter |
| 04/09 |
Visual analytics |
Ward: chapter 6 |
|
VA |
| 04/11 |
Maps |
Ward: chapter 6 |
|
maps |
| 04/16 |
Visualization of hierachies |
Ward: chapter 9 |
|
hierarch |
| 04/18 |
Visualization of time-varying and time-series data |
Ward: chapter 7 |
|
time |
| 04/23 |
Visual analytics system design and evaluation |
|
|
VAdes |
| 04/25 |
Tufte's teachings, memorable visualizations, and embellishments |
|
|
tufte |
| 04/30 |
Infographics design |
|
|
infogfx |
| 05/02 |
Midterm II |
|
|
|
| 05/09 |
8:30 pm: Final Project presentations |
|
|
|
