Fundamentals of visualization including data sources, representations, and graphical integrity. Visualization of scalars, vectors, and high-dimensional data. Visual perception and color theory. Applications from medical imaging, social media, sports, security and surveillance domains. PREREQ: CS 245.
All assignments are due at 11:59pm on the due date. Late submissions will NOT be accepted.| Description | Due Date | Points | ||
|---|---|---|---|---|
| A1 - Data Exploration with Tableau | 8/30 | 50 | ||
| A2 - Visualizing Amounts using P5 | 9/6 | 100 | ||
| A3 - Visualizing Distributions using P5 | 9/13 | 100 | ||
| A4 - Introduction to D3 | 9/20 | 100 | ||
| A5 - Multidimensional visualization in D3 | 9/27 | 100 | ||
| A6 - Color Scales in D3 | 10/4 | 100 | ||
| A7 - Interaction in D3 | 10/11 | 100 | ||
| A8 - Graph Visualization in D3 | 10/27 | 100 | ||
| A9 - Geographical Data Visualization in D3 | 11/9 | 100 | ||
| A10 - White Hat Black Hat | 11/23 | 100 | ||
| Final Project | ||||
| Project Proposal | TBA | 50 | ||
| Revised Proposal, Related Work, and Project Website | TBA | 100 | ||
| Alpha Release | TBA | 50 | ||
| Beta Release | TBA | 100 | ||
| Project Presentation | TBA | 50 | ||
| Project Report Draft | TBA | 150 | ||
| Presentation slides, Code, Data, Project Report, and README | TBA | 150 | ||