DSC4173 — Data Mining
The objective of this course is to ensure that students have the skills and knowledge to recognize opportunities for data mining approaches and exploit the results. Data mining processes such as CRISP-DM (cross-industry standard process for data mining) and SEMMA (Sample, Explore, Modify, Model, and Assess) are compared. Students use large data sets to construct simple models in an effort to enhance their understanding of the techniques and challenges of working with big data. Emphasis is placed on framing the business problem and communicating the results, especially in nontechnical language. Prerequisite: DSC 3153, GBU 2013, & GBU 3133, all with a C or better OR instructor’s consent.