Course Overview

CS 205: Data Driven Discovery

CS 205: Data Driven Discovery is a data-centric course focused on data analysis, discovery, and visualization. We use the Python programming language to help us with data processing, analysis, and discovery. We use d3.js (and other JavaScript libraries) to help us with data visualization.

Select Student Visualizations from CS 205

Every Gen Ed at UIUC, by GPA
By: Kexin (Fiona) Fei, Caroline Breckenfelder, and Wade Fagen-Ulmschneider
Developed As: Project #1 (UIUC-centric datasets), CS 205, Fall 2016
Released: Nov. 3, 2016

GPAs of Every Course at The University of Illinois
By: Justin Lee, Nate Claussen, Wade Fagen-Ulmschneider, and Cinda Heeren
Developed As: Project #1 (UIUC-centric datasets), CS 205, Spring 2016
Released: Apr. 27, 2016   ·   Updated: Oct. 31, 2016

Illini Nation through 120+ Years of Illini Football
By: Ashley Simon, Nicole Ng, and Wade Fagen-Ulmschneider
Developed As: Project #1 (UIUC-centric datasets), CS 205, Fall 2016
Released: Oct. 27, 2016

120 Years of Illini Football, By Coach
By: Noah Ralston, Jason Pellettiere, and Wade Fagen-Ulmschneider
Developed As: Project #1 (UIUC-centric datasets), CS 205, Fall 2016
Released: Oct. 25, 2016