AI 445 Introduction to Data Mining

This course introduces fundamental concepts, techniques, and applications of data mining for discovering patterns and knowledge from large datasets. Topics include data preprocessing, exploratory data analysis, classification, clustering, association rule mining, and anomaly detection. Students will gain exposure to both theoretical foundations and practical methods, with emphasis on real-world applications in business, science, and engineering. The course also addresses ethical considerations, data privacy, and evaluation of data mining models. Hands-on exercises and projects provide experience using contemporary data mining tools and algorithms. Prerequisites: AI 230 and AI 430

Cross Listed Courses

AI/CSC/DA/EE 445/545