An introduction to techniques involved in storing large datasets, and in the analysis of them to draw conclusions. How methods datasets are stored and accessed will be investigated. A variety of machine learning techniques used to analyze datasets will be explored and implemented.

OWU Units: 1.00. Crosslisting(s): None. Prerequisite(s): CS 110 , CS 210 and MATH 110 . Recommended: DATA 100 1 , and either MATH 105 or MATH 230 . Corequisite(s): None. Antirequisite(s): None. Fee: None. Core Competency: None. Offered: Alternating Years (Fall Semesters). Next offered in 2025-2026, 2027-2028.