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DATS442 - Bayesian Methods (Bayesian Inference, Naïve Bays)

Course Details

Course Code: DATS442 Course ID: 5153 Credit Hours: 3 Level: Undergraduate

This course focuses on the Bayesian approach to probability and statistics and applies it to tools and methods used in data science. This course starts with a brief review of the tenets of probability that form the foundation for Bayes Theorem. Next, it discusses Bayes Theorem in-depth. Then, it considers the Bayesian approach to inference, examines the Naïve Bayes model, and develops Bayesian regression. (Prerequisite: MATH328)

Course Schedule

Registration Dates Course Dates Start Month Session Weeks
Registration03/30/2026 - 09/04/2026 Course Dates09/07/2026 - 11/01/2026 Start Month September SessionSummer 2026 Session D Weeks8 Week session
Registration06/29/2026 - 12/04/2026 Course Dates12/07/2026 - 01/31/2027 Start Month December SessionFall 2026 Session D Weeks8 Week session

Previous Syllabi

Not current for future courses.