Statistical and Data Sciences 390ef - Topics in Statistical and Data Sciences-Ecological Forecasting

Ecologists are asked to respond to unprecedented environmental challenges. How can they provide the best scientific information about what will happen in the future? The goal of this seminar is to bring together the concepts and tools needed to make ecology a more predictive science. Topics include Bayesian calibration and the complexities of real-world data; uncertainty quantification, partitioning, propagation and analysis; feedback from models to measurements; state-space models and data fusion; iterative forecasting and the forecast cycle; and decision support. A semester-long project will center on data from the Smithsonian Conservation Biology Institute (SCBI) forestry reserve. Prerequisites: SDS 192, SDS 291 and either MTH 112 or (MTH 111 and MTH 153.) (E)

[CE] SDS 192, 291 & MTH 112 or (MTH 111 & 153)