Ryerson University Visualization
CP8308 Course Management Form Fall 2016

We will use D2L as the course web site

Instructor T. McInerney
Office ENG 262
Phone 979-5000-7245
Office Hours by appointment
email tmcinern@scs.ryerson.ca
Course Web Sitesee: http://www.scs.ryerson.ca/~tmcinern/teaching.html
Course Recommended Texts
  • Data Visualization: Principles and Practice, A. Telea, Second Edition, 2014
  • Information Visualization, Robert Spence, Pearson/Prentice Hall, 2nd edition, 2007, ISBN: 0-132-0655-09
  • Visual Thinking for Design, Colin Ware, Morgan Kaufman (2008)
  • Information Visualization: Perception for Design, Colin Ware, 2nd Edition. Morgan Kaufman, 2004.
  • Introduction to Scientific Visualization, Helen Wright, Springer, 2007, ISBN: 1-84628-494-5
  • Envisioning Information, Edward Tufte, Graphics Press, 1990, ISBN: 9780961392116
  • Visualizing Data, Ben Fry, O'Reilly (2007)


CP8308 Visualization
Use of computer graphics to understand patterns, relationships and trends in information systems and scientific data. Most of the course involves Information Visualization. Topics include: historical overview, fundamental concepts, visualization systems, information visualization, interaction with 2D/3D user interfaces, scientific visualization for scalar and vector data, visualization using virtual reality, collaborative visualization. Lect: 3 hrs.

Evaluation:

ItemValue Approx. Date
Assignment 30% TBA
Project 60% TBA
Participation 10% TBA


General Information:
  1. Announcements: Students are responsible for checking the course web site for all instructions relating to the course and for announcements (posted in the announcements section).
  2. Grades: Grades for term work will be posted on D2L.
  3. Assignment: The assignment will consist of a written critique of visualizations, creating visualizations given a small dataset, and creating/extending visualizations using a software package such as D2L
  4. Project: The term project will involve the use of several visualization techniques to visualize a complex data set, the implementation of a visualization system or tool, or a survey of a visualization topic.
  5. Participation: participation will consist of submission of comments on assigned readings and in-class discussion of readings


Course Outline (the ordering of and time spent on topics may change):

WeekTopics
1 Introduction, Tufte Design Principles
2 Perception
3 Information Visualization: Representing Information I
4 Information Visualization: Representing Information II
5 Information Visualization: Presentation
6 Interaction
7 3D Visualization: Structure, Shape, View
8 Scientific and Medical Visualization
9 Collaborative Visualization
10 Virtual Reality for 3D Data Visualization
11 TBA
12 Student Project Presentations


Modifications to the course procedures will be made in consultation with the course students.