ANLY 410 - Data Warehousing and Mining

(3 semester hours)
Prerequisites: CISC 460 or permission of instructor
Description: Data mining evolved from the disciplines of statistics and artificial intelligence. This course addresses emerging topics to design, build, manage, and evaluate advanced data-intensive systems and applications. Data engineering is defined as the role of data in the design, development, management, and utilization of complex computing or information systems. Topics of interest include: database design; meta-knowledge of the data and its processing; languages to describe data, define access, and manipulate databases; strategies and mechanisms for data access, security, and integrity control; and extracting, transforming and loading data (ETL). Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these data repositories. Successful applications have been developed for specialty areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. Offered Fall Semester, annually.