Mathematical Foundations for Data Analytics credit: 3 or

4 Hours

An introduction to topics and techniques in transformational geometry, linear algebra, and calculus most relevant for the study of multivariate analysis, and demonstrates their roles as bases for solving data analytic problems in the information sciences. 3 undergraduate hours. 4 graduate hours. Prerequisite: Recommended IS 203 ; or IS 205 ; or IS 206 ; or equivalent course.