Off-Campus Extended Studies Courses

Data mining is the effort to reach useful conclusions from data by building interpretive and predictive computational models. This course prepares students to do this through hands-on exploration of data preparation, and model development, tuning, and validation. This is done in the context of various algorithms such as gradient-descent, ensemble methods, and linear regression. Coursework includes multiple significant programming projects and a large final project. Prerequisites: CSC 232 and CSC 233.

Fall Semester information

370A: Data Mining

370B: Data Mining