Ocean Sciences
OCEA 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 of their choice (e.g., Matlab, python, R, Julia). Student project consists of analysis of the student's own dataset.
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.