Agent-based models are an ideal tool for analyzing systems (cities, economies, road networks, forests) in which the outcomes of interest (illness rates, traffic problems, land use, violence) are shaped strongly by interactions among individual 'agents' (drivers, consumers, farmers, spouses) with each other and their environments. This course builds skills in the use of agent-based modeling using the NetLogo platform as a tool for analyzing complex human- environment problems. The course will emphasize the iterative model-building process -- forming research questions, building conceptual and then operational models, experimenting, and then refining -- to address current research problems. Students should expect to commit time outside of meetings to i) gaining comfort with NetLogo syntax; ii) reading current research in the areas of agent-based modeling and human environment and health problems; and iii) a team based approach to building models.

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.