This non-credit course will cover both AD Model Builder (ADMB) and Template Model Builder (TMB), two packages widely used in fishery stock assessment. These are two modern software tools for computationally efficient fitting of nonlinear and non-normal statistical models by maximum likelihood using the Laplace Approximation. TMB is particularly useful for models with random effects, including state space models. Next offering: July 15 - October 8, 2019.
In this non-credit class we will consider the role of uncertainty in decision - making about renewable natural resources. Students will be introduced to Structured Decision Making (SDM) and Adaptive Management (a special case of SDM), and to quantitative methods associated with them. You will learn about the importance of models and of effective stakeholder engagement to inform good decisions. Next offering: Fall 2019.
This is a non-credit, online, and asynchronous course that can be started anytime. The purpose of this class is to introduce students to the principles of programming using the R and RStudio software packages. R and RStudio are powerful and versatile data analysis packages that are freely available. While the class focus is on programming in R and RStudio, the programming skills taught are designed so that students can transfer their skills to other programming platforms like ADMB or C. This class was formerly called R Fundamentals for Research.
This class is set to be revamped later in 2019. This non-credit, on-line course will introduce students to model fitting by maximum likelihood techniques, estimation of uncertainty in model estimates (e.g., likelihood profiling), and methods of inference using multiple models (e.g., AIC model averaging).
AD Model Builder is a software package used for creating programs to estimate parameters of statistical models. The QFC periodically offers basic and advanced fishery applications short courses.
R is an extremely powerful and versatile data analysis package that is freely available for download off the world-wide web.