INFO 5100 - Visual Data Analytics for the Web

Fall. 3 credits. Student option grading (no audit).

Enrollment limited to: graduate students. Co-meets with CS 3300/INFO 3300.

J. Rzeszotarski.

This course will cover technologies for representing, modeling and displaying data in the context of interactive web pages. Practical skills for building web pages will be mixed with data mining algorithms and visualization design theory. We will use the D3 Javascript library to develop both static and dynamic visualizations, learn more about programming in Javascript, and explore web scalable vector graphics (SVG). Through design critique and formal study, we will identify the techniques visualization developers employ to create the “right” visualization for a given use case.

Outcome 1: Students will gain practical skills for building web pages though the introduction of the data mining algorithms and theoretical approaches to graphics.

Outcome 2: Students will build project management skills through group interactions.

Outcome 3: Develop analytical tools for understanding the complex programming skills needed to build complex data systems.