Simulation Modeling Course
Simulation modeling is a discipline for developing a level of understanding of the interaction within the parts of a system, and of the system as a whole. It is therefore a crucial tool for analysis in systems thinking. Systems are the larger complex interactions with too many unknowns for robust statistical analyzes but that still need to be managed. A system is an entity which maintains its existence through the interaction of its parts, where a systems model is a simplified representation. Systems modeling, in principle is a deductive approach to knowledge that commences from a more general conceptualization of hypotheses and proceeds to a reality check through expert verification and calibration against observations. Conceptualizing models provides insights into the knowledge of systems, while building systems models deepens the understanding of the dynamics in a system.
This course will guide you in the interdisciplinary mingling of processes, and interactions called the Earth’s system, to including the antroposphere (the human dimension), the biosphere, atmosphere, lithosphere, and hydrosphere. The class work will address objectives to advance integrated global modeling and ecosystem service value assessments. Simulations refer to computerized versions of the models which are executed to display over time the implications of the defined interactions. Simulations are iterative in their development. Models are conceptualized, coded and executed. Lessons learned from the simulation will lead to revisions of the model concepts and code until an adequate level of understanding is developed.
