MATH 4600 - Advanced Mathematical Modeling

(3) Credit Hours
Prerequisite: MATH 2600 and MATH 3450
This course is a continuation of MATH 2600: Mathematical Modeling and involves a more in-depth study of components including estimation, optimization, simulation and sensitivity analysis. Additional topics covered may include partial differential equations, variational calculus, stochastic processes and finite elements. After successfully completing is course, students will be able to: (1) Identify the salient characteristics of a mathematical model. (2) Apply a mathematical modeling process to translate real-world problems into models. (3) Evaluate and apply mathematical methods, including estimation, optimization, simulation and sensitivity analysis. (4) Evaluate different technologies and apply them to the development and analysis of mathematical models. (5) Classify and apply discrete or continuous, probabilistic or deterministic and empirical or theoretical models. (6) Collaborate as members of a team throughout the development and analysis of mathematical models. (7) Communicate aspects of a mathematical model including the development, results and conclusions in both oral and written forms.