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Math For Social Justice (MATH 1005)
Total Credits:
4
Lecture Credits:
4
Description:
This course delves into the intersection of social justice and mathematics, specifically within the contemporary and historical contexts of structural racism in the United States. Using mathematical tools, you will analyze the impact of public policies at the local, state, and federal levels, exploring social and economic interactions, particularly for particularly for historically marginalized groups.
Topics may include, but are not limited to: social justice concepts, racial/ethnic relationships, racial profiling, drug testing for public assistance recipients, anti-racism efforts, and the quest for equity in social and economic opportunities. Through the study of real-life cases, the course aims to empower you to take meaningful actions and develop critical self-awareness as future social justice practitioners.
Topical Outline:
1. Core Concepts for Social Justice
2. Theoretical Foundations for Social Justice
3. Racial/ethnic relationships and anti-racism
4. Racial profiling: conditional probability and hypothesis testing of proportions
5. Closing the gap: rates, annual rates of change, compounding and exponential growth, linear regression
6. Institutional barriers to public assistance, for example drug testing potential recipients.
Learning Outcomes:
1. Explain Core Concepts of Social Justice
2. Describe Theoretical Foundations for Social Justice
3. Illustrate Racial/ethnic Relationships and anti-racism
4. Apply mathematical techniques to analyze social injustices
5. Analyze rates of change to understand equity gaps and propose possible ways they could be closed
Prerequisites:
Placement into
MATH 0070 and a placement into
READ 0200 or
ESOL 0052 is strongly recommended
MnTC: