Fall 2021 - CMPT 767 G100
Visualization (3)
Class Number: 4672
Delivery Method: In Person
Overview
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Course Times + Location:
Sep 8 – Dec 7, 2021: Tue, 9:30 a.m.–12:20 p.m.
Burnaby
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Instructor:
Sheelagh Carpendale
sheelagh@sfu.ca
1 778 782-5415
Description
CALENDAR DESCRIPTION:
Advanced topics in data visualization. Topics covered may include principles of data representation, data presentation, data interaction, data physicalization, data and visualization literacy, data visualization and diversity, open data, and public personal data visualization. Students with credit for CMPT 878 or 775 may not take this course for further credit.
COURSE DETAILS:
The goal of this course is to introduce students to research in the 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.
COURSE-LEVEL EDUCATIONAL GOALS:
Topics
- Representation of data, data mappings
- Design thinking
- Presentation
- 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
- Physicalization
- Interaction (e.g., exploration, navigation, transformations, details on demand)
- Communication, data-driven storytelling, visualization literacy
- Evaluation methodologies and issues
Grading
NOTES:
To be discussed the first week of classes
Materials
REQUIRED READING:
- Data Feminism, Catherine D'Ignazio and Lauren F. Klein, MIT Press, 2019, open access at: https://mitpress.mit.edu/books/data-feminism
RECOMMENDED READING:
- · Visualization Analysis and Design , Munzner, Tamara, A K Peters, Limited, 2014
ISBN: 9781466508910
- · Semiology of graphic: Diagrams, Networks, Maps , Bertin, Jacques, ESRI, Incorporated, 2010
ISBN: 9781589482616
- · Information Visualization: Perception for Design , Ware, Colin, Login, 2012
ISBN: 9780123814647
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:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
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
TEACHING AT SFU IN FALL 2021
Teaching at SFU in fall 2021 will involve primarily in-person instruction, with approximately 70 to 80 per cent of classes in person/on campus, with safety plans in place. Whether your course will be in-person or through remote methods will be clearly identified in the schedule of classes. You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).
Enrolling in a course acknowledges that you are able to attend in whatever format is required. You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.
Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as early as possible in order to prepare for the fall 2021 term.