Studying Incarceration with Data
STA 116CNL
This course introduces students to data-informed approaches for examining the social, structural, and institutional factors that shape the experiences and outcomes of individuals who have been incarcerated. Students will learn how data is used to understand patterns of incarceration, as they critically engage with quantitative research and produce statistical analyses from real-world data. Topics in the course include exploratory data analysis, data visualization, statistical inference, and regression modeling using the R computing language. The course also emphasizes data ethics and communicating data-informed results to diverse audiences. No statistics or computing background is necessary. |
** available as of 2027-01-01
Notes
Reserved for first-year students in the Social Control constellation. Students may enroll in one constellation course per semester.
(QC) Quant & Comp Reasoning: A&S Curriculum