Metropolitan State University

MATH 340 : Mathematical Modeling

A. Course Description
Credits: 4
Lab Hours/ Weeks: Corequisites: None
Lecture Hours/ Week :  
MnTC Goals: Goal 04 - Mathematical/Logical Reasoning , Goal LS - Upper Division Liberal Studies
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.
B. Course Effective Dates: 09/06/1999 - 05/04/2002 05/04/2002 - 08/14/2010 08/15/2010 - Present
C. Outline of Major Content Areas:
See Course Description for major content areas.
D. Learning Outcomes (General)
  1. Investigate the literature and learn new methods for modeling and solving real-world problems.
  2. Recognize and utilize appropriate deterministic and/or stochastic mathematical models to abstractly represent and solve real-world problems with discrete and continuous dynamical systems.
  3. Synthesize the knowledge and skills obtained in the mathematics major curriculum to solve problems in new contexts.
  4. Write technical reports and give presentations on mathematical modeling.
E. Learning Outcomes (MN Transfer Curriculum)
Goal 04 - Mathematical/Logical Reasoning
  1. Apply higher-order problem-solving and/or modeling strategies.
  2. Clearly express mathematical/logical ideas in writing.
  3. Illustrate historical and contemporary applications of mathematical/logical systems.
  4. Explain what constitutes a valid mathematical/logical argument(proof).
Goal LS - Upper Division Liberal Studies
G. Special Information
Prerequisites: For Applied Mathematics Majors: MATH 320 Probability AND MATH 315 Linear Algebra and Applications. Prerequisites: For Mathematics Teaching Majors: MATH 215 Discrete Mathematics, MATH 315 Linear Algebra and Applications, and STAT 201 Statistics I.