The business world needs individuals with good analytic skills to analyze problems from a quantitative viewpoint. The subject of Finite Mathematics consists of loosely knit collection of mathematical topics of a "finite" or "discrete" nature (in contrast to "continuous" mathematics studied in the calculus) that are often used to analyze problems in business and economics. Some of the recent Nobel Prizes in economics have used ideas in game theory and stochastic modeling, typical topics in finite mathematics. Topics studied in this course include systems of linear algebraic equations, linear programming and the simplx method, the mathematics of finance, combinatorics and probability, graph and network theory, and game theory. Many students will apply these mathematical techniques when they enter the business world whether they know it or not since computer packages, such as spreadsheets, management programs, and others use finite math techniques. Users of these packages are often unaware what is going on inside the program, but this course hopes to give the student an appreciation of many of these powerful mathematical techniques. Prerequisite: Adequate performance in a qualitying examination, or a grade of C or better in MAT 111 or MAT 122. Credits 3.
Last modified on Tuesday, January 12, 1999
![[Previous Page]](prev.gif)
![[Next Page]](next.gif)
![[Up]](up.gif)
![[Home Page]](home.gif)
![[Mail]](mail.gif)
![[Contents]](contents.gif)