Summer 2022 - GSWS 399 B100
Gender, Sex and Numbers (4)
Class Number: 3739
Delivery Method: In Person
Overview
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Course Times + Location:
May 10 – Jun 20, 2022: Thu, 2:30–5:20 p.m.
Burnaby
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Instructor:
Tiffany Muller Myrdahl
tmullerm@sfu.ca
1 778 782-4684
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Prerequisites:
30 units.
Description
CALENDAR DESCRIPTION:
Through an examination of the social construction of numbers and other forms of quantitative data will provide an introduction to measurement and its use within social justice movements and policy circles. In analyzing such topics as the relationship between professional, state and community conceptualizations of quantitative evidence, students will make use of introductory statistical concepts, methods and argument. Quantitative.
COURSE DETAILS:
In an era when “Big Data” rules, it is essential to develop a critical engagement with the production, collection, and analysis of data (of all kinds). This course examines the how and why of quantitative data from a feminist perspective. Students will be introduced to quantitative measurements and their uses, especially within social justice movements and policy circles. Students will learn to interpret and evaluate quantitative data through topics like smart cities, economic justice, and tools used to address urban liveability (safety, housing, transit).
The course focuses on critical quantitative methods, practiced independently and collaboratively, through three components: census data (how to gather and analyze it), survey data (how to design, conduct, and analyze it), and statistical concepts and methods.
COURSE-LEVEL EDUCATIONAL GOALS:
For more detailed information please see the GSWS website: http://www.sfu.ca/gsws/undergraduate/courses/Educational_Goals.html
Grading
- Course engagement: Participation in online (asynchronous) content (10%) and Participation in in-person sessions (10%) 20%
- Researcher reflection paper (Individual exercise) 15%
- Survey research exercise (Collaborative exercise) 15%
- Datawalk activity and analysis (Individual or collaborative exercise) 35%
- Research reflection paper (Individual exercise) 15%
NOTES:
COURSE FORMAT: This course is offered in a Blended Learning format. Blended Learning integrates asynchronous (not live) online activities and face-to-face instruction to offer students increased flexibility for their demanding schedules and an accessible way to approach new ideas in the curriculum. Students engage in online activities such as practice quizzes, videocasts, and simulations, and attend one weekly face-to-face instruction session. In-person attendance at the face-to-face session is expected.
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Week 1 (May 10-11) |
Module 1 |
Online activities and readings |
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Week 1 (May 12) |
Module 1 |
In-classroom (BBY) Thursday |
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Week 2 (May 13-18) |
Module 2 |
Online activities and readings |
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Week 2 (May 19) |
Module 2 |
In-classroom (BBY) Thursday |
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Week 3 (May 20-25) |
Module 3 |
Online activities and readings |
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Week 3 (May 26) |
Module 3 |
In-classroom (BBY) Thursday |
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Week 4 (May 27-June 1) |
Module 4 |
Online activities and readings |
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Week 4 (June 2) |
Module 4 |
In-classroom (BBY) Thursday |
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Week 5 (June 3-8) |
Module 5 |
Online activities and readings |
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Week 5 (June 9) |
Module 5 |
In-classroom (BBY) Thursday |
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Week 6 (June 10-15) |
Module 5 |
Online activities and readings |
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Week 6 (June 16) |
Module 5 |
In-classroom (BBY) Thursday |
Materials
REQUIRED READING:
Various content (handouts, journal articles, videos, etc.) available on Canvas, Statistics Canada, and SFU library databases.
RECOMMENDED READING:
The following texts are recommended but not required:
Kevin Guyan, 2022, Queer Data: Using Gender, Sex and Sexuality Data for Action. Bloomsbury Press.
Katherine McKittrick, 2021, Dear Science and Other Stories. Duke University Press.
Safiya Umoja Noble, 2018, Algorithms of Oppression: How Search Engines Reinforce Racism. NYU Press.
Caroline Criado Perez, 2019, Invisible Women: Data Bias in a World Designed for Men. Abrams Press.
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 SUMMER 2022
Teaching at SFU in summer 2022 will involve primarily in-person instruction. Some courses may be offered through alternative methods (remote, online, blended), and if so, this will be clearly identified in the schedule of classes.
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, online, or blended courses 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 summer 2022 term.