Spring 2022
DATA 4AC 001 - LEC 001
Formerly DATA C4AC
Data and Justice
Ari S Edmundson
Class #:29701
Units: 4
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
0
Enrolled: 50
Waitlisted: 0
Capacity: 50
Waitlist Max: 10
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials per week, 7.5 hours of outside work hours per week, and 1.5 hours of the exchange of opinions or questions on course material per week.
Other classes by Ari S Edmundson
Course Catalog Description
This course engages students with fundamental questions of justice in relation to data and computing in American society. Data collection, visualization, and analysis have been entangled in the struggle for racial and social justice because they can make injustice visible, imaginable, and thus actionable. Data has also been used to oppress minoritized communities and institutionalize, rationalize, and naturalize systems of racial violence. The course examines key sites of justice involving data (such as citizenship, policing, prisons, environment, and health). Along with critical social science tools, students gain introductory experience and do collaborative and creative projects with data science using real-world data.
Class Description
This course engages students with fundamental questions of justice in relation to data and computing in American society. Data collection, visualization, and analysis have been entangled in the struggle for racial and social justice because they can make injustice visible, imaginable, and thus actionable. Data has also been used to oppress minoritized communities and institutionalize, rationalize, and naturalize systems of racial violence. The course examines key sites of justice involving data (such as citizenship, policing, prisons, environment, and health). Along with critical social science tools, students gain introductory experience and do collaborative and creative projects with data science using real-world data.
Class Notes
*This course will allow time conflicts with the lecture but discussion section attendance is required. It will allow allow for and accommodate final exam conflicts.
*This course will satisfy the American Cultures breadth requirement
*This course will satisfy the American Cultures breadth requirement
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Requirements class fulfills
American Cultures Requirement
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials