Statistical and Data Sciences 300di - Seminar: Topics in the Applications of Statistics and Data Science-Disability Inclusion and Data Analytics

Students learn the social model of disability and critical disability theory as well as research design and process, and work on a research project analyzing disability inclusion public data. The statistical methods covered in this course may include logistic regression, multivariate analysis, factor analysis, etc. Students are expected to submit their final projects to a journal, conference or competition by the end of the semester. Prerequisite: SDS 201, SDS 220 or ECO 220. Restrictions: Juniors and seniors only. Enrollment limited to 12. Instructor permission required.

[CE] JR/SR only; Prereq: SDS 201, SDS 210, SDS 220 or ECO 220