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May 21st

May 21st

# Mathematics for Business and Social Science

COURSE NUMBER AND TITLE: Math 1324 - Mathematics for Business and Social Science I

INSTRUCTOR: Joseph Ottum, Office FOB 130B

REQUIRED TEXT: College Algebra In Context with Applications for the Managerial, Life and Social Sciences, 2nd Edition by Harshbarger and Yocco

CALCULATORS: A graphing calculator is required .

MyMathLab: MyMathLab is an interactive website where students can find practice exercises, practice tests, videos, and work interactive problems partnered with the textbook. Homework will be as signed using this resource . You must have an access code to use this resource which is packaged free with a new textbook, or it can be purchased separately at the bookstore or on line at www.coursecompass.com.

CATALOG DESCRIPTIONS: Topics include linear equations , quadratic equations , functions and graphs, inequalities; mathematics of finance, simple and compound interest, annuities; linear programming, matrices; systems of linear equations; applications to management, economics, and business.

COURSE PREREQUISITE: Math 0303, Intermediate Algebra, with a grade of C or better or the equivalent .

STUDENT COMPETENCIES: The student will:

1. be able to use mathematical models to quantify real life situations.
2. understand mathematics as an art of exploring, seeking patterns, making guesses, checking, revising, and generalizing.
3. improve algebraic skills by using algebra to describe and analyze situations.
4. understand effective uses of technology in problems-solving.

ASSESSMENT: Course grade determination will include at least three in-class major exams and a com prehensive final exam. Homework, projects, quizzes, and class participation may also be considered.

 EVALUATION: Test Avg. 50% Final Exam 25% Other 25% 100-90: A 89-80: B 79-70: C 69-60: D 59-0: F

Course Outline

1.1 Functions and Models (Optional)
1.2 Graphs of Functions (Optional)
1.4 Equation of Lines (Optional)
1.5 Algebraic and Graphical Solutions of Linear Equations (Optional)
1.6 Fitting Lines to Data Points: Modeling Linear Functions (Optional)
1.7 Systems of Linear Equations in Two Variables (Optional)

2.3 Library of Functions
2.4 Transformations of Graphs and Symmetry

3.1 Exponential Functions
3.2 Logarithmic Functions
3.3 Exp onential and Logarithmic Equations; Properties of Logarithms
3.4 Exponential and Logarithmic Models
3.5 Exponential Functions and Investing
3.6 Annuities; Loan Repayment
3.7 Logistic and Gomepertz Functions

4.1 Higher-Degree Polynomial Functions
4.2 Modeling Cubic and Quartic Functions
4.3 Solutions of Polynomial Equations
4.4 Polynomial Equations Continued; Fundamental Theorem of Algebra

5.1 Systems of Linear Equations in Three Variables (Optional)
5.2 Systems of Linear Equations in Three Variables (Optional)
5.2 Matrix Operations of Linear Equations (Optional)
5.3 Matrix Operations (Optional)

6.1 Systems of Inequalities (Optional)
6.2 Linear Programming: Graphical Methods (Optional)

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