Information Visualization


... visual perception

... data models

... visualization techniques

... applications

... evaluation

This course we will study techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science. The course is targeted both towards students interested in using visualization in their own work, as well as students interested in building better visualization tools and systems. Students will conduct reading of scientific research papers, and will lead a presentation and discussions for at least one article during the term. A final project will make‐up most of the grade (60%), while student presentation skills and in readings will also be emphasized.
First class: 12 September 2016 -- BA025

Professor

Fanny Chevalier ( http://fannychevalier.net) Inria / U of T email: fanny [at] dgp.toronto.edu

Grading scheme


Duration

The class will meet once a week, Mondays 4-6PM in BA025 BA5187

Schedule

Week 1 Welcome, Introduction ( slides )
Week 2 Visual Perception / Prospective Projects ( slides )
Week 3 Data Models ( slides ) + paper presentations (4)
Week 4 Student paper presentations (6)
Week 5 Holiday
Week 6 Guest Speaker: Christopher Collins (UOIT)
Text Visualization (slides)
Week 7 Mid-term Review
Week 8 Guest Speaker: Richard Brath (Uncharted)
25 years of industry infovis: big data, analytics, realtime, and problems not addressed in research (slides: part1 part2)
Week 9 Students paper presentation
Week 10 Guest Speaker: Justin Matejka (Autodesk Research)
Visualization and Aesthetics
Week 11 Guest Speaker: Isabel Mereilles (OCAD University)
Information design: Technologies of production and readership in news media (slides)
Week 12 Students paper presentation
Week 13 Final presentations / Wrap Up

Paper presentations

List of papers and instructions are on the PAPER PRESENTATION PAGE

Potential projects

List of project ideas, schedule and instructions are on the PROJECT PAGE