1 
1.1 
Mathematical Models 

1.2 
Systems of linear Equations 
2 
3.1 
Linear Programming Problems 

3.2 
Graphing Linear Inequalities 
3 
3.3 
Graphical Solutions of linear programming problems 

4.1 
Introduction to sets 
4 
4.2 
The number of elements in a set 

4.3 
Sample Spaces and Events 
5 
4.4 
Basic Probability 

5.1 
Multiplication Principle and Permutations 
6 

Exam I 
7 
5.2 
Combinations 

4.5 
Rules for Probability 
8 
4.6 
Conditional Probability 

4.7 
Bayes’ Theorem 
9 
5.3 
Probability Applications of Counting Principles 

5.4 
Bernoulli’s Trials 

6.1 
Random Variables and Histograms 
10 
6.2 
Measure of Central Tendency 

6.3 
Measure of Spread 

6.4 
Normal Distribution 
11 

Exam II 
12 
F1 
Simple interest and discount 

F2 
Compound interest 

F3 
Annuities 

F4 
Present value of Annuities and Amortization 
13 

Thanksgiving Break 
14 
2.1 
Introduction to Matrices 

2.2 
Matrix Multiplication 

1.3 
Gauss Elimination for system of Linear Equations 
15 
1.4 
System of Equations with NonUnique Solutions 

2.3 
Inverse of a Square Matrix 


Final Exam: TBA 