IER 484 - System Dynamics Simulation
 
(3 cr.) The techniques taught in this course are a significant part of the Systems Decision Process (SDP) as they introduce the concept of dynamic systems thinking and analysis. Large-scale systems are dynamic, involve complex cause-and-effect relationships that form feedback loops between the variables of interest, and produce outcomes that are not always intuitive. Students use the properties of dynamic systems and analytical techniques to design continuous models of complex systems or processes, implement these models, and perform an analysis of the results. Topics include applications of System Dynamics, client/modeler relationships, problem articulation, functional modeling through causal loop diagrams and stock and flow diagrams, modeling and simulation in a PC-based continuous event simulation package, policy design, policy testing, and policy implementation. Students present their design results in both written reports and oral presentations. The course also addresses ethical implications in the development and application of dynamic models as well as interactions with decision makers. Students spend several lessons in a computer lab environment. Prerequisite: IER 385; Every Year, Spring
 
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