Ocean SciencesOCEA 260 Introductory Data Analysis in the Ocean and Earth Sciences

Introduces data analysis methods regularly encountered within the ocean and earth sciences. Topics include: error propagation, least squares analysis, data interpolation methods, empirical orthogonal functions, and Monte Carlo methods applied to problems drawn from oceanographic and earth sciences datasets. Introduces and uses a high-level computing and visualization package, MATLAB. Student project consists of analysis of the student's own dataset.

Requirements

Prerequisite(s): previous course in ocean or earth sciences is recommended. Enrollment is restricted to graduate students; undergraduates with permission of instructor.

Credits

5

Quarter offered

Winter

Instructor

Christopher Edwards, Claudie Beaulieu

Also offered as

EART 260

Requirements

Prerequisite(s): previous course in ocean or earth sciences is recommended. Enrollment is restricted to graduate students; undergraduates with permission of instructor.