Visualization Course Management Form for CP8308

We will use Blackboard 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 Site	see: http://www.scs.ryerson.ca/~tmcinern/teaching.html
Course Recommended Texts	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. 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:

Item	Value	Approx. Date
Assignment 1	15%
Assignment 2	15%
Project	60%
Class Participation	10%

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 Blackboard.
3. Assignments: Assignments will consist of a written critique of visualizations, creation of a visualization using a software package and a term project involving the creation of a visualization, the implementation of a visualization tool, or a survey of a visualization topic.

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

Week	Topics
1	Introduction, Tufte Design Principles
2	Perception
3	Information Visualization: Representing Information I
4	Information Visualization: Representing Information II
5	Information Visualisation: Representing Information III - Connections
6	Information Visualization: Presentation
7	Information Visualization: Interaction
8	3D Visualization: Structure, Shape, View
10	Scientific and Medical Visualization
11	Collaborative Visualization
12	Student Project Presentations

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

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