Data and Time Series Analysis in Marine Sciences

Catalog description

This course is designed for students in marine and environmental science disciplines to learn data analysis skills, including analysis techniques and their implementation using MATLAB or R. Topics include: discrete sampling issues, data outlier and rejection tests, interpolation and gridding, error and propagation of uncertainty, coordinate rotations and principal axes, curve fits, regression, bootstrapping, filtering, spectral and harmonic analysis, spatial analyses. Other topics may be included or substituted depending on student interests. The course is structured as mix of weekly lectures and linked workshops applying methods to marine and environmental data sets. Taught in Beaufort at Duke Marine Lab. Instructor consent is required.