CURRIC 803
COMPUTATIONAL RESEARCH METHODS
Provides a broad overview of ways of formulating and investigating novel questions with tools from educational data mining and learning analytics including social network analysis, natural language processing, Markov modeling, Bayesian inference, and agent-based modeling.
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026
Sources
Catalogue variants
- COMPUTATIONAL RESEARCH METHODS · 3 credits.