Fundamentals of visualization including data sources, representations, and graphical integrity. Visualization of scalars, vectors, and high-dimensional data. Visual perception and color theory. Applications from medical imaging, social media, sports, security and surveillance domains. PREREQ: CS 245.

Lecture Notes

Introduction to Data Visualization

Graphical Integrity

Design Principles

Data Sources and Tasks

High dimensional data visualization

User Evaluation

Data visualization in R

Introduction to D3

Introduction to GIS - David Saah


Invited Speakers