Quantitative Methods for Business I

The course presents the fundamental concepts of mathematics necessary in the social and management sciences.  The course reviews linear, quadratic, exponential and logarithmic functions and introduces the geometry and algebra of linear programming.  Systems of linear, quadratic, exponential and logarithmic equations, along with matrix algebra are included.

UPON COMPLETION OF THE COURSE, THE STUDENT WILL BE COMPETENT IN:

• Graphing on the coordinate plane.
• Applying polynomials, rational expressions, exponents, and radicals.
• Solving systems of equations.
• Utilizing linear, quadratic, exponential and logarithmic functions.
• Designing linear functions for business operations.
• Graphically analyzing linear programming problems.
• Defining convex polygonal sets.
• Maximizing and minimizing linear systems.
• Identifying key steps in Gauss-Jordan elimination.
• Discussing the Pivot Transformation operation.
• Developing linear systems in tableau form.
• Utilizing laws of matrix algebra for problem solving.
• Performing mathematical operations on matrices.
• Illustrating identity and inverse matrix concepts.
• Examining the simplex algorithm in linear programming problems.
• Constructing an input/output matrix.
• Designing linear programming models.
• Expressing analytical thinking, orally and in writing, and applying that knowledge to other disciplines and to real-world situations.