CSIS 494: Data Mining

Credit Hours

3

Aliases

INFS 494 (Quinlan School of Business)

Prerequisites

COMP 271: Data Structures and COMP 353: Database Programming and a background in statistics as in ISOM 491

Description

The goal of the course is to introduce students to the current theories, practices, tools and techniques in data mining. Because many topics and concepts in data mining are learned most efficiently through hands-on work with data sets, we will spend time with software analyzing and mining data. The goal is to gain a better understanding of how data mining is applied and what is involved in data mining projects.

Course Objectives and Learning Outcomes

At the end of the course students will be able to:

  • Explain how businesses can gain competitive advantage through the mining of data.
  • Describe when and how various data mining techniques should be applied.
  • Understand the basic process and mechanics of data mining.
  • Be able to make strategic recommendations based on data mining results.
  • Execute basic data mining techniques using IBM’s SPSS Modeler and interpret the result