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)
- MATH328 - Probability Theory with Applications
Prerequisites
Course Schedule
| Registration Dates | Course Dates | Start Month | Session | Weeks |
|---|---|---|---|---|
| Registration09/29/2025 - 02/27/2026 | Course Dates03/02/2026 - 04/26/2026 | Start Month March | SessionWinter 2026 Session D | Weeks8 Week session |
| Registration12/29/2025 - 05/29/2026 | Course Dates06/01/2026 - 07/26/2026 | Start Month June | SessionSpring 2026 Session D | Weeks8 Week session |