MATH 340 Mathematical Modeling
Mathematical modeling is the investigation of real world phenomena using mathematical tools. This course includes topics such as dynamic and stochastic modeling (differential equations and discrete-time equations), as well as optimization modeling. Applications will include problems from such areas as the physical and biological sciences, business, and industry.
Note: Students whose prerequisites are not identified by the system should contact the Math and Statistics Department for an override at MATH@metrostate.edu.
Prerequisites
Special information
4 Undergraduate credits
Effective August 1, 1998 to present
Meets graduation requirements for
Learning outcomes
General
- Investigate the literature and learn new methods for modeling and solving real-world problems.
- Recognize and utilize appropriate deterministic and/or stochastic mathematical models to abstractly represent and solve real-world problems with discrete and continuous dynamical systems.
- Synthesize the knowledge and skills obtained in the mathematics major curriculum to solve problems in new contexts.
- Write technical reports and give presentations on mathematical modeling.