Designed primarily to permit the instructors to deal with a topic with which they are especially concerned, more focused than the subject matter of a regular lecture course. Does not count towards the requirements of the Sociology major, but may satisfy other campus requirements.

This course introduces students to the intersecting crises of eviction, displacement, and gentrification through data-driven analysis. Using the U.S. Census and R programming, you’ll learn to quantify racial inequality, track segregation patterns, and map gentrification’s impact on vulnerable communities. Through weekly lectures, coding labs, and interactive online modules, we’ll explore how housing precarity disproportionately affects marginalized groups while building practical skills in R and data visualization. By term’s end, you’ll create dynamic maps and interactive dashboards that reveal hidden stories behind eviction trends, rent burden disparities, and neighborhood change – equipping you to communicate complex social issues through both sociological theory and cutting-edge data tools. Designed for beginners in coding, this fully online course emphasizes real-world applications, with case studies ranging from urban displacement in coastal cities to rural housing instability.

Repeat Rules