MATH 308
Mathematical and Computational Approaches to Social Justice Spring 2022
Division III Quantative/Formal Reasoning Difference, Power, and Equity
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Class Details

Civil rights activist, educator, and investigative journalist Ida B. Wells said that “the way to right wrongs is to shine the light of truth upon them.” In this research-based tutorial, students will bring the vanguard of quantitative approaches to bear on issues of social justice. Each tutorial pair will carry out a substantial project in one of the following areas: criminal justice, education equity, environmental justice, health care equity, and inclusion in arts/media. All students should expect to invest substantial effort in reading social justice literature and in acquiring new skills in data science, mathematics, and computation.
The Class: Format: tutorial; This is a research-based tutorial.
Limit: 10
Expected: 10
Class#: 3266
Grading: yes pass/fail option, no fifth course option
Requirements/Evaluation: To move towards a non-hierarchical, transparent, and egalitarian grading system, the instructor follows the policy of "ungrading." Over the course of the semester, students will develop a rubric to assess their own learning and will evaluate themselves according to this rubric.
Prerequisites: Across each tutorial pair: multivariable calculus (e.g., Math 150/151), linear algebra (e.g., Math 250), statistics (e.g., Stat 161/201), computer programming (e.g., Comp 134), some working knowledge of or interest in social justice issues.
Enrollment Preferences: This is a tutorial and hence is capped at 10 students. Students interested in enrolling should contact the instructor as soon as possible. The instructor will ask for a brief statement of interest and selected other information.
Distributions: Division III Quantative/Formal Reasoning Difference, Power, and Equity
DPE Notes: Students study issues of equity, diversity, and inclusion in areas such as criminal justice, arts/media, environmental justice, education, and health care, and along identity axes such as gender, race/ethnicity, disability status, and sexual orientation.
QFR Notes: Students use multiple mathematical, statistical, and computational frameworks to acquire, model, and analyze real-world data.

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