IT 4136 – Knowledge Discovery and Data Mining
The course covers the process of automatically extracting valid, useful, and previously unknown information from data sources and using the information to make decisions. This course is designed to provide students with a solid understanding of the knowledge discovery process and the use of data mining concepts and tools as part of that process.
A minimum grade of “C” in IT 3233, and STAT 2231 or BUSA 3131.
On completion of the course, students will be able to:
a) Define data mining and explain how and when data mining can be used as a problem solving technique.
b) Determine appropriate data mining strategies for specific problems.
c) Demonstrate an understanding of and use methods of knowledge discovery and data mining.
d) Implement data mining algorithms with test data sets using data mining software.
e) Explain and use the Knowledge Discover in Databases (KDD) process.
f) Prepare data for use by data mining algorithms (data preprocessing).
g) Interpret and evaluate the results of data mining.
Rationale for Inclusion
Advanced course work that builds on the fundamental course work to provide depth.
Last updated: 8/5/2015