2006-07 Program on Development, Assessment and Utilization of Complex Computer Models

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Course Day and Time: Wednesday 4:30 - 7:00, (15 weeks with a one-week break)
Room 104 NISS Building

Goals: Getting an overview of and some practice in environmental modelling and its application for increasing our knowledge about ecosystem function and for environmental decision support.

Contents: The course is organized in three parts:

1. Building Environmental Models (construction of environmental models)
2. Statistical Inference and Uncertainty Estimation (learning from data, combining data with prior information)
3. Environmental Decision Support (use of models for environmental decision support under uncertainty)

The course will provide an introduction to models of biogeochemical and ecological processes in rivers and lakes offering the opportunity for hands-on computer simulations with simple lake and river models; an overview of different types of models of interacting terrestrial populations and biodiversity (continuous and discrete time and space, deterministic and stochastic, "theoretical" and "statistical", analytical and simulation); and background information on the nature of climate variability and change based on a variety of models from simple conceptual to ocean-atmosphere general circulation models.

The course will deal with model construction, analysis and behavior, inference and prediction, statistical modelling, computational issues and applications.

Program:

Duke Course Listing STA 294.01 (Instructor listed as James S. Clark. Please contact Nicole ([email protected]) for a permission number)

NCSU Course Listing MA/ST 810F.002 (Instructor listed as Montserrat Fuentes)

UNC Course Listing Math 891-003 (Instructor listed as STAFF)

Questions about the course or the Computer Models program should be emailed to [email protected].

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