MEE 635X - Data Analytics for Engineers

Crosslisted as ISYE 670. Applying analytical tools and techniques to effectively extract and interpret complex patterns found in large amounts of engineering data. Develop predictive modeling skills to make informed decisions on problems that occur in engineering practice. Major topics include: data visualization, modeling, classification methods, clustering, and learning algorithms.

Prerequisites & Notes
PRQ: ISYE 570 or consent of the department.

Credits: 3