MSCI 315 Field Methods in Oceanographic Data Analysis - 3 credits

Prerequisite(s): MSCI 111, MSCI 111L, and MATH 131 or equivalent
Corequisite(s): MSCI 315L
This course is an introduction to oceanographic data collection and analysis at a field station. The lecture will include an introduction to data processing and analysis using computer software, using examples and case studies drawn from the ongoing oceanographic research at the field station. Students will learn how to import, visualize, analyze and interpret oceanographic data including Eulerian and Lagrangian time-series, profile data and 2-D bathymetric and remote sensing data. A large case study will be the analysis of the data collected during the laboratory portion of the class. This course is part of a three week Maymester or Summer field experience plus preparatory meetings and assignments during the previous semester.
Semester(s) Offered: Summer