May 01, 2026  
2025-2026 Undergraduate Catalog 
    
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2025-2026 Undergraduate Catalog

BIA 3200 - Fundamentals of Data Mining

(3)
Students will be able to conduct and explain the basic concepts of data mining: supervised vs. unsupervised learning. Specifically, classification, k-means clustering and regression models will be emphasized. Students will learn the proper method and process of defining a data mining problem. Students will conduct analysis in terms of defining business programs and solving them with the appropriate methodology. Communication skills of models results to technical and non-technical audiences will be emphasized. Class will be conducted in R.

Prerequisite: CS 1000  or MT 2200 , BIA 2000 , plus one course in Statistics.
Recommended: BIA 1800 .
Core Curriculum: (ESE, ER)