CIS 563 - Introduction to Data Science

College of Engineering and Computer Science
3 credit(s) At least 1x fall or spring

Fundamentals of the knowledge discovery and data mining process. Basics of supervised and unsupervised learning. Applications (recommendation and collaborative filtering) and computational tools for carrying out predictive/descriptive modeling. Additional work required for graduate students.
PREREQ MAT 503