DATA 433 - Data Mining and Applications

Credits: 3
Credit Configuration: 2+2, 3 Cr.

Data mining is a broad area that integrates techniques from several fields, including machine learning, statistics, pattern recognition, artificial intelligence, and database systems, for the analysis of large volumes of data. This course gives a wide exposition of these techniques and their software tools. Students may not receive credit for both DATA 433 and BAN 440.

Prerequisite(s): DATA 151 or CS 157 and one of STAT 140, STAT 240, BUS 205, PSY 201, or CE 202.