Statistical and Data Sciences 300di - Seminar: Topics in Applications-Disability Inclusion and Data Analytics
W F 1:20 PM - 2:35 PM
Students will 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. Enrollment limited to 12. Juniors and seniors only. Instructor permission required.
[CE] JR/SR only; Prereq: SDS 201, SDS 220 or ECO 220
Permission is required for interchange registration during the add/drop period only.