This site provides information using PDF, visit this link to download the Adobe Acrobat Reader DC software.

MAT-351 Mathematical Modeling

This course is designed to be a bridge between the study of mathematics and the application of mathematics to various fields. It provides an overview of how the mathematical pieces of an applied problem fit together. This course also presents an investigation of meaningful and realistic problems encompassing many academic disciplines including management, economics, ecology, environmental science, sociology, and psychology, using complex systems. Mathematical modeling is the process of creating a mathematical representation of some phenomenon in order to gain a better understanding of that phenomenon. The main goal of this course is for students to learn how to make a creative use of some mathematical tools, such as difference equations, ordinary and partial differential equations, and numerical analysis, to build a mathematical description of realistic problems. This includes models dealing with political organizations, human cultures and languages, national and international economies, stock markets, food webs, ecosystems, populations, gene regulatory networks, brains, and other neural systems.

Study Methods- :

Credits: 3

Preview the Online Syllabus new window
(Please visit the University bookstore to view the correct materials for each course by semester as the contents of the actual online syllabus may differ from the preview due to updates or revisions)