ENV 316 Environmental Modeling
Simulation models can be powerful tools to address complex problems in environmental research. Various modeling methods will be introduced including finite element/finite difference, physical, discrete/continuous, and stochastic/deterministic. The course will emphasize criteria for model selection, model calibration, and model evaluation including uncertainty and sensitivity analysis. Students will gain hands-on experience using a programming language commonly used in environmental models, such as R or Python. Recommended pre-requisites: ENV201 and MTH251. Offered every other spring semester.
Offered
Spring Semester