An introduction to data mining. Data preparation, model building, and data mining techniques such as clustering, decisions trees and neural networks will be discussed and applied to case studies. Data-mining software tools will be reviewed and compared.
- SENG 265; and
- MATH 110 or MATH 211; and
- one of STAT 252, STAT 254, STAT 255, STAT 260; and
- minimum third-year standing.