363D Introduction to Data Mining

Program: 
Undergraduate Program
Division: 
Electives

Introduction to the topic of data mining: data preprocessing regression, classification, clustering, dimensionality reduction, association analysis and anomaly detection.

Prerequisites: 

The following coursework with a grade of at least C-:  Computer Science 311 or 311H or 313K or 313H, 314 or 314H or 315 or 315H, 310 or 310H or 429 or 429H; Mathematics 362K or Statistics and Scientific Computation 321; and Mathematics 340L or Statistics and Scientific Computation 329C.