CS 627: Data Visualization [NIU]
Introduction to data visualization with a focus on computer-based design approaches and techniques for manipulating and visualizing data from scientific, social science, financial, and medical domains.
Course Material
- T. Munzner, Visualization Analysis and Design, A K Peters/CRC Press, 2015
Grading
- Midterm Exam 25%
- Assignments 50%
- Final Project 25%
Schedule
| Week | Topic |
|---|---|
| 1 | Tools: Git, GitHub, Jupyter Notebooks |
| 2 | Languages: Python and R |
| 3 | Tools: Tableau and D3.js |
| 4 | Data Visualization Fundamentals |
| 5 | Story Telling and Critique |
| 6 | Data Overview and Representation |
| 7 | Marks and Channels |
| 8 | Views |
| 9 | Color |
| 10 | Perception |
| 11 | Dashboards |
| 12 | Geographical Visualization |
| 13 | Scientific Visualization (VTK and ParaView) |
| 14 | Sports Analytics |