COURSE OUTLINE
Textbook: Introductory Mathematical Analysis for Business, Economics and the Life and Social Sciences, Ernest F. Hauessler Jr., Richard S.Paul (11th Edition)
1.1. Applications of Equations
1.2. Linear Inequalities
1.3. Applications of Inequalities
1.4. Absolute Value
1.5. Review
2.1. Functions
2.2. Special Functions
2.3. Combinations and Functions
2.5. Graphs in Rectangular Coordinates
2.6. Symmetry
2.7. Translations and Reflections
2.8. Review
3.1. Lines
3.2. Applications and Linear Functions
3.3. Quadratic Functions
3.4. Systems of Linear Equations
3.5. Nonlinear Systems
3.7. Review
6.1. Matrices
6.2. Matrix Addition and Scalar Multiplication
6.3. Matrix Multiplication
6.4. Solving Systems by Reducing Matrices
6.5. Solving Systems by Reducing Matrices (continued)
6.6. Inverses
6.8. Review
7.1. Linear Inequalities in Two Variables
7.2. Linear Programming
7.3. Multiple Optimum Solutions
8.1. Basic Counting Principle and Permutations
8.2. Combinations and Other Counting Principles
8.3. Sample Spaces and Events
8.4. Probability
8.5. Conditional Probability and Stochastic Processes
8.6. Independent Events
8.7. Bayes’ Formula
8.8. Review
9.1. Discrete Random Variables and Expected Value
9.2. The Binomial Distribution
9.4. Review
16.1. Continuous Random Variables
16.2. The Normal Distribution
16.3. The Normal Approximation to the Binomial Distribution
16.4. Review
CHAPTER 9: Mathematics of Finance
5.1 Compound Interest
5.2 Present Value
5.3 Annuities