Math 125
Finite Mathematics for Business and Economics
(formerly Math 145: Applied Business Mathematics)

1. Catalog Entry

MATH 125. Finite Mathematics for Business and Economics
Three Lecture Hours (3).

The first part of this course contains an introduction to the concepts of functions and graphing, with focus on linear, quadratic, exponential and logarithmic functions. Applications contain simple linear models, optimization with quadratic functions and problem solving in finance such as compound interest and annuities. The second part consists of the solution of linear systems of equations, an introduction to matrix algebra, and linear programming. Calculators and EXCEL will be used in problem solving. Will not satisfy requirements for a major in mathematics. Students who have received credit for MATH 145 may not also receive credit for MATH 125. General Education Credit – Mathematical Sciences.

2. Detailed Description of Course

a. The course will cover the following topics

• Functions and their graphs
• Linear equations and linear models
• Quadratic equations, quadratic functions and optimization involving quadratic models
• Exponential and logarithmic functions
• Mathematics of finance (compound interest and annuities)
• Systems of linear equations (graphical and algebraic solutions)
• Matrices, reduced row echelon from and the Gauss-Jordan method
• Matrix multiplication and matrix inverses
• Linear programming (graphical method and simplex method)

3. Detailed Description of Conduct of Course

Most instructors will use the lecture method; some may require students to work together in small groups. Calculators and computers will be used both inside and outside class. In all sections students will be expected to work problems assigned as homework, as well as computer projects.

4. Student Goals and Objectives of the Course

1. Students with a major in the College of Business and Economics are expected to develop and improve their skills in mathematics, and become better prepared for Business Calculus.
2. Students are expected to develop experience in modeling and problem solving.

5. Assessment Measures

Graded tasks may include homework, computer projects, quizzes and written exams; they may also include group projects and written or oral class participation.

6. Other Course Information
7. Review and Approval Date