ENGR 6220 - Data Architecture

Students design and deploy analytical systems that serve as the basis for the analysis, processing, storage, and interface of the machine learing process. Students choose learning models appropriate to the result desired using decision tree, Bayesian, neural net, and vector machine approaches. Students use multiple statistical approaches to evaluate results that lead to best results.

Prerequisite or Corequisite: Completion of one of the three following certificates: (Business Intelligence (BIH), Production Analytics (PAH), or Health Analytics (HAH).

When Offered: OFFERED YEARLY

Graded: GRADED

Credit Hours: 3