CS 422 Data Mining
Prerequisites: MATH 213 or MATH 112 or PSY 211 or ECMG 212, and Level III Mathematics Placement, and CS 200; or Permission of Instructor
Introduces basic principles and methods for data analysis and knowledge discovery to computer science students. Topics include preprocessing, association, classification, and anomaly detection. Students develop basic skills for modeling and performance evaluation.
Cross Listed Courses
Double-numbered course; offered with graduate-level
CS 522
Offered
Fall Semester