Mar 04, 2024  
2018-2019 Undergraduate Bulletin 
2018-2019 Undergraduate Bulletin [ARCHIVED CATALOG]

CIS 4630 - Advanced Data Management with Oracle (3)

When Offered: On Demand
Students will have the opportunity to learn database development techniques using Oracle products including database, designer and developer. Data mining is a broad area dealing with the analysis of large volumes of data that integrates techniques from several fields including machine learning, statistics, pattern recognition, artificial intelligence, and database systems. Data mining is a rapidly growing field that supports decision-making by detecting patterns, devising rules, identifying new decision alternatives and making predictions about the future. The course objective is to present the leading data management techniques using Oracle and their applications to real-world problems. The course is organized around a number of well-defined data mining tasks such as description, classifications, estimation, predictions, and affinity grouping and clustering. The topics covered include: introduction to knowledge discovery in the databases (KDD), statistical methods, emerging modeling techniques such as neural networks, and others.
Prerequisites: 84 earned hours, a minimum grade of “C” (2.0) in any Writing in the Discipline (WID) course, and CIS 3750 .