Instructor: Jeff Rzeszotarski
MWF 11:15AM - 12:05PM @ Upson Hall Rm. 222
In this course you will develop a personal toolkit for representing data and developing interactive data visualizations. We focus on three core elements of successful visualizations: choosing the best representation for both data and intended outcome; incorporating interactivity (or leaving it out) strategically; and following design principles that account for limits in human cognition, perception, decision-making, and physiology. Through practical exercises we will understand the unique technical challenges that visualization imposes on designers and develop a sensibility for the visualization process from data scraping to end evaluation.Sign up for the Spring, 2024 class here.
Syllabus & Policies [ PDF ] [ Spring, 2024 ]
Notes and "prompts" (pre-notes for upcoming classes) will be posted to GitHub. [Site][Repository].
Recorded lectures are available on Canvas, but synchronous attendance is highly encouraged.
Assignments will be posted to CMS.
Discussion posts & questions should go to Ed Discussion.
You can find procedures for presenting a paper and leading class discussions in this document.
Those who are not presenting must post a response to all reading threads for the week before midnight on Tuesday. See more about commenting here.
It will be useful to have a webserver running locally on your computer. Here are some options: