Core Required Inference / Stats Machine Learning Practicum Capstone
STAT 566: Applied Regression & Generalized Linear Models
Explores GLM theory, quasi-likelihood, deviance analysis, and high-dimensional diagnostic regression. Essential for statistical inference foundation.
Credits: 3.0 Workload: 4/5 (Heavy coding + theory) Term Recommended: Fall Year 1
Personalized Study Plan (3 Terms / 18 Credits) ✓ Full Degree Plan Complete (100%)
Term 1: Fall Year 1 (6 Credits)
Term 2: Winter Year 1 (6 Credits)
Term 3: Fall Year 2 (6 Credits)