COMP 3110

(3 Credits) 3 Lecture hours, 1 Tutorial hour This course introduces students to the fundamentals of data literacy, including data representation, visualization, and storytelling with data. Students will also explore how machine learning (ML) models use data to make predictions and drive decision-making. Through hands-on exercises, students will build and evaluate simple ML models using accessible tools—without requiring programming experience. Ethical considerations, data security, and the societal impact of AI will also be discussed.