Spring 2025
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5641. Research Design and Measurement for Data Science
2.00 credits
Prerequisites: Open to students enrolled in the M.S. Data Science program or with instructor consent. Recommended preparation: Knowledge of Introductory inferential and descriptive statistics.
Grading Basis: Graded
Research design, ethical and measurement issues as they relate to data science. Measurement topics include: Design of surveys and survey instruments, reliability, validity and generalizability theory. Research design topics include: AB designs, clustering and the identification of internal and external validity threats. Open and reproducible science and ethical conduct of research are themes throughout the course.
Last Refreshed: 21-FEB-25 05.20.19.779473 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1253 8491 1 001 | 001 | 8491 | Anglin, Kylie | 35/100 | Reg | Online Asynchronous |