ENST 320 - Quantitative Methods

Credit Hours: 4
Frequency of Offering: Offered in alternate years, usually in the spring semester

Methods and approaches to wrangling, analyzing, and visualizing large datasets using the R computing environment. An emphasis will be placed on coastal and oceanographic datasets. Lecture sessions will primarily include discussion and hands-on coding exercises. No programming experience is required.

Prerequisite(s): ENST 100, MRNE 110, and either MATH 221 or BIOL 311 or permission of the instructor.