Data and Resource-limited Methods in Fisheries Management

4 credits

Provides an interactive overview of the principles and methods behind data-limited analysis and fisheries management, demonstrating the latest tools and theory for science-based analysis of global fish stocks that lack data and resources needed to apply traditional stock assessment methods. Prerequisite: either FISH 454/Q SCI 454 or FISH 458/Q SCI 458; and FISH 552; recommended: knowledge of basic biology and fisheries science and management; and familiarity with the R programming language. Offered: W, even years.