Mathematical Modeling and Simulation

Catalog description

An introduction to developing, solving, and validating mathematical models of real-life problems. Topics may include unconstrained and constrained growth models, epidemiological models, equilibrium analysis, stability, force and motion, predator-prey model, enzyme kinetics, data-driven models, probability distributions, and high-performance computing. Case-study approach will be implemented. Prerequisites: MATH 2415 with a minimum grade of C and MATH 2320 with a minimum grade of C.