Course Information
Course Standards
Minimum Qualifications for Instructors
 Mathematics (Masters Required)
Course Description
Linear functions, systems of linear equations and inequalities, matrices, linear programming, mathematics of finance, sets and Venn diagrams, combinatorial techniques and an introduction to probability. Applications in business, economics and social sciences.Conditions of Enrollment

Language  recommended eligibility for English 1A

Mathematics  recommended eligibility for Math 52
Content
1. Linear equations and functions
2. Exponential and logarithmic functions and their applications
3. Applications of linear functions to economics such as cost, revenue and profit functions, supply and demand equations, breakeven point, and free market equilibrium
4. Systems of linear equations
5. Matrices including matrix algebra, GaussJordan elimination and reducedrow echelon form, inverse matrices, and applications
6. Linear programming
7. Math of finance including simple and compound interest, future and present value, annuities, sinking funds, and amortization
8. Set theory including DeMorgan's Laws and Venn diagrams
9. Probability and combinatorics including permutations and combinations; finding the probability of an event given the probabilities of the simple events in a sample space; conditional probability
Objectives

Apply linear and exponential graphs and functions
**Requires Critical Thinking**

Write a system of linear equations to solve applied problems
**Requires Critical Thinking**

Solve a system of linear equations using GaussJordan elimination and interpret the result
**Requires Critical Thinking**

Find the inverse of a square matrix and use the inverse to solve a system of linear equations

Solve linear programming problems in at least three variables

Find unions, intersections and complements of sets and use Venn diagrams to solve problems

Apply basic combinatorial principles to enumeration problems
**Requires Critical Thinking**

Determine the probability of a specified event

Find the conditional probability of an event

Solve applied problems in finance including simple and compound interest, future and present value annuities, sinking funds, and amortization
**Requires Critical Thinking**
Student Learning Outcomes
 Demonstrate mastery of matrix operations of addition and multiplication.
 Solve problems in linear programming graphically and using the simplex method.
Methods of Instruction

Lecture/Discussion
Assignments
1. Reading textbook sections
2. Writing out work done on homework problems
Methods of Evaluation
 Exams
 Homework
 Portfolio
 Problem Solving Exercises
 Quizzes
 Research Project
Course Materials

Barnett, Ziegler, and Byleen. Finite Mathematics for Business, Economics, Life Sciences, and Social Sciences, 12th ed. Prentice Hall, 2011, ISBN: 9780321614018Equivalent text is acceptable
 Scientific or graphing calculator