Fall 2015 - IAT 814 G100

Knowledge, Visualization and Communication (3)

Class Number: 7135

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 8 – Dec 7, 2015: Mon, 9:30–10:50 a.m.
    Surrey

    Sep 8 – Dec 7, 2015: Wed, 4:30–5:50 p.m.
    Surrey

Description

CALENDAR DESCRIPTION:

Provides a cognitive and computational framework for understanding and designing graphical and visual representations. Investigates several psychological and computational models of diagram processing, and explores diverse interactive graphical systems.

COURSE DETAILS:

Visualization and Communication are two sides of the same coin.  When information and knowledge are perceived we must form our own mental models before we can effectively communicate it.  Thus this course will explore how we perceive and design information in different visualization approaches and how we can use visualization techniques to support both communication of the information and exploration of the data to support the discovery and refinement of new insights and hypotheses.  Topics include material related to data analytics,information visualization design and use,  interactive interfaces for visualization, visual perception and attention, visual thinking, and design principles for different applications of visualization.

The approach of this course is human centered rather than machine centered. Understanding visualization and communication requires a knowledge of human perception and cognition.  Classes will involve both theoretical and practical learning.

COURSE-LEVEL EDUCATIONAL GOALS:

COURSE OBJECTIVES: Specific Course Objectives (order may vary):
1. How we see: an overview of the visual system
2. Visualization in practice: scientific, information and affective
3. Colourand design
4. Perception
5. Visual encoding
6. Visual Awareness and Attention
7. Design idioms and  techniques for tabular data
12. multidimensional techniques
8. Interaction and Navigation
9. Focus and Context/Large screen visualization
10. SEnsemaking and analytical thinking
11. Spatial data
12. neworks, graph and tree visualization

Grading

  • Critique and design exercises of visualization in practice 20%
  • Midterm assignment - critical report, summary of recent research in the field 30%
  • Final project - individual 50%

Materials

REQUIRED READING:

Ware, Colin (2008). Visual Thinking for Design. Publisher: Morgan Kaufmann
ISBN: 100123708966

Tamara Munzner. Visualization Analysis and Design. A K Peters Visualization Series, CRC Press, 2014. Available as an ebook in the library.

RECOMMENDED READING:

Spence, Robert (2007).  Information Visualization: Design for Interaction (2nd Edition) Publisher: Prentice Hall
ISBN: 978-0132065504

Ware, Colin (2004). Information Visualization: Perception for Design (2nd ed). Publisher: Morgan Kaufmann

Graduate Studies Notes:

Important dates and deadlines for graduate students are found here: http://www.sfu.ca/dean-gradstudies/current/important_dates/guidelines.html. The deadline to drop a course with a 100% refund is the end of week 2. The deadline to drop with no notation on your transcript is the end of week 3.

Registrar Notes:

SFU’s Academic Integrity web site http://students.sfu.ca/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS