MATHEMATICAL MODELING AND SIMULATION
2017 Fall Term
Modeling involving formulation of deterministic, stochastic and rule-based models and computer simulation in order to make predictions. Topics may include unconstrained and constrained growth models, equilibrium and stability, force and motion, predator-prey model, enzyme kinetics, data-driven models, probability distributions, Monte Carlo simulations, random walk, diffusion, cellular automaton simulations, and high performance computing.
Other Requirements: PREREQ: MATH 254 WITH A GRADE OF C OR BETTER AND MATH 355
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