MATHEMATICAL MODELING AND SIMULATION
2019 Spring 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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- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
|Section Details||Meeting Details & Topic||Instructor||Syllabus|
|01/22 - 05/11 (1)||MW 12:30 PM - 1:45 PM||