CIS 342 - Data Analytics

Lecture Hours: 3
Lab Hours: 0
Credit Hours: 3

Covers the application of probability, statistics and computational modeling to perform technical analysis of data. Topics include Markovian processes, regression, analysis of variables, statistical significance, hypothesis testing, bagging and boosting, clustering. Note: Course is equated to CIS 441 and cannot be taken for additional credit. Prerequisite(s): CIS 241 or MA 305 with a minimum grade of C. Note: Cannot take if CIS 441 has already been taken.