7a. Prerequisite(s): (Course and/or other preparation/experience that is REQUIRED to be completed previous to enrollment in this course.)

Two years of high school algebra or Math. D or equivalent with a grade of "C" or better, or placement by matriculation assessment process

7b. Co-requisite(s):  (Courses and/or other preparation that is REQUIRED to be taken concurrently with this course.)

7c. Advisory: (Minimum preparation RECOMMENDED in order to be successful in this course.  Also known as “Course Advisory”.)

9b. Catalog Description:

Review of functions; systems of equations; mathematics of finance; matrices; uses of matrices (for example, solving systems of equations); linear programming; introduction to probability and statistics; Markov Chains; and decision making. (CAN MATH 12)

10. Student Performance Outcomes: (Outcomes for all credit courses must indicate that students will learn critical thinking and will be able to apply concepts at college level.  Outcomes must be related to items listed in Section 11.)

1. solve problems utilizing graphics of linear functions,
quadratic, rational, absolute value, and exponential functions;
2. solve problems utilizing functions of two variables;
3. construct solutions of systems of linear equations using
graphical methods, algebraic methods, matrix methods;
4. perform basic algebraic operations with matrix and utilize them
to solve linear systems of equations, along with solving applied
problems;
5. create graphical solutions to linear programing problems and
apply the simpler method for solving optimization problems;
6. solve probability problems using combinatories;
7. including probabilities of independent, compound, and conditional
events;
8. create a probability function for a random variable and use it to
solve probability problems;
9. create a frequency destribution and use it to solve for the
means, median, moder, variance and standard deviatons;
10. solve applied finance problems including interest, annuity, and
amortization; and
11. solve problems involving a Markov process and Dame Theory (time
permitting).

11. Course Content Outline: (Provides a comprehensive, sequential outline of the course content, including all major subject matter and the specific body of knowledge covered.)

I. Basic Concepts
II. Mathematics of Finance
III. Linear Equations and the Echelon Method-Matrices
IV. Linear Programming
V. Probability
VI. Statistics
VII. Markov Chains (Time Permitting)
VIII. Games and Decisions (Time Permitting)

12. Typical Assignments: (Credit courses require two hours of independent work outside of class per unit of credit for each lecture hour. List types of assignments, including library assignments.)

a. Reading Assignments: (Submit at least 2 examples)

b. Writing, Problem Solving or Performance: (Submit at least 2 examples)

c. Other (Terms projects, research papers, portfolios, etc.)

SECTION D

SECTION E

SECTION F

SECTION G