CSCI 466 - Informatics and Knowledge Discovery (3 credits)

(Prereq: A grade of ‘C’ or better in CSCI 220 and MATH 160 or MATH 160B) Students will explore the basic techniques of data mining and data stream mining and then apply them on real world datasets taken from different domain experts. This class will teach students how to obtain patterns, trends, and behavior from different datasets to enable domain experts to discover new knowledge without the need to conduct expensive experiments or complex modeling procedures.