Instructor: Jeff Rzeszotarski
MWF 11:30AM - 12:20PM over Zoom
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.
Recorded lectures are available on Canvas, but synchronous attendance is encouraged. Notes and "prompts" (pre-notes for upcoming classes) will be posted to GitHub. [Site][Repository] Assignments will be posted to CMS. Discussion posts & questions should go to Piazza.
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: