Course Catalog

UGRD > IT > 472

Description:
Data Mining provides a set of techniques that explore large quantities of data to discover meaningful patterns and make predictions. It helps businesses analyze data from different perspectives, gain insights into the vast amount of data extracted from internal and external sources, and to measure performance, reduce costs, and seek competitive advantage. As a result, data mining has become vital to most enterprises today. This course introduces data mining through an investigation of its underlying concepts, and explores practical methods for its application. Students will learn the appropriate use of several data mining methods based on unsupervised algorithms such as cluster analysis and association rules, and those based on supervised algorithms such as decision trees and neural networks. Students will gain experience with applications of data mining using current data mining software.

Pre Requisites: pre-reqs: IT 110 OR MSIS 110 AND one of the following: MSIS/IT 111L or MATH 125 or ECON 205 or PSYCH 370 or SOCIOL 350.

Offered in:

2018 Spring

Section Class Number Schedule/Time Instructor Location
01 8371 W
5:30 - 8:15 pm
Xu,Peng W01-0009
Session: Regular
Class Dates: 01/22/2018 - 05/09/2018
Capacity: 35
Enrolled: 35
Status: Closed
Credits: 3/3
Class Notes:
Pre Requisites: pre-reqs: IT 110 OR MSIS 110 AND one of the following: MSIS/IT 111L or MATH 125 or ECON 205 or PSYCH 370 or SOCIOL 350.
Course Attributes: