Fall 2019 - CMPT 767 G100
Class Number: 9026
Delivery Method: In Person
Course Times + Location:
Sep 3 – Dec 2, 2019: Wed, 9:30 a.m.–12:20 p.m.
1 778 782-5415
Prerequisites:CMPT 316, 461 or equivalent (by permission of instructor).
Advanced topics in the field of scientific and information visualization are presented. Topics may include: an introduction to visualization (importance, basic approaches and existing tools), abstract visualization concepts, human perception, visualization methodology, 2D and 3D display and interaction and their use in medical, scientific, and business applications. Students with credit for CMPT 878 or 775 may not take this course for further credit.
The goal of this course is to introduce students to the research field of Interactive Information Visualization. The course presents both seminal and recent work in InfoVis by looking at a variety of topics from the research field. It will cover a subset of the topics listed below. Each of these topics contains a fundamental approach to creating information visualizations. Each has its own guiding principles, its own significant publications, and its own research methods. While we will discuss each separately, keep in mind that in reality some chosen subset of these is usually used in conjunction.
Note: Prerequisites for this course are being reviewed- Please contact email@example.com for assistance with enrollment.
- Representation of data, data mappings
- Design thinking
- Principles from perception
- Sketching and Externalization
- Principles from graphic design
- Layout and spatial organization
- Data driven design
- Personal visualization
- Task-based design
- Constructive visualization
- Applications (e.g., web, text, biology, social data)
- Biomimicry and alternate aesthetics
- Interaction (e.g., exploration, navigation, transformations, details on demand)
- Communication, data-driven storytelling, visualization literacy
- Evaluation methodologies and issues
To be discussed the first week of classes.
Visualization Analysis and Design , Munzner, Tamara, A K Peters, Limited, 2014,
Semiology of graphic: Diagrams, Networks, Maps , Bertin, Jacques, ESRI, Incorporated, 2010,
Information Visualization: Perception for Design , Ware, Colin, Login, 2012,
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.
SFU’s Academic Integrity web site http://www.sfu.ca/students/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