Units: 4
Hours: Lecture, 3 hours; activity, 3 hours
Catalog page 461
Prerequisites: MGT 209; graduate standing; or consent of instructor
Description: Explores how AI- driven personalization and recommendation systems transform marketing strategies. Teaches collaborative filtering, content- based recommendations, deep learning in recommendation engines, and ethical considerations in AI-driven personalization. Incorporates real-world applications, case studies, and hands-on projects using AI tools.