MAS.864 The Nature of Mathematical Modeling
Surveys the range of levels of description useful for the mathematical description of real and virtual worlds, including analytical solutions and approximations for difference and differential equations; finite difference, finite element and cellular automata numerical models; and stochastic processes, nonlinear function fitting, constrained optimization, and data-driven inference. Emphasis on efficient practical implementation of these ideas.
This class has no prerequisites.
This class counts for a total of 12 credits. This is a graduate-level class.
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