1 
1/18 
1.1 
Mathematical Models 


1.2 
Systems of linear Equations 
2 
1/25 
3.1 
Linear Programming Problems 


3.2 
Graphing Linear Inequalities 
3 
2/1 
3.3 
Graphical Solutions of linear programming problems 


4.1 
Introduction to sets 
4 
2/8 
4.2 
The number of elements in a set 


4.3 
Sample Spaces and Events 
5 
2/15 
4.4 
Basic Probability 


5.1 
Multiplication Principle and Permutations 
6 
2/22 
5.2 
Combinations 


4.5 
Rules for Probability 
7 
2/29 
5.2 
Exam I 
8 
3/7 
4.6 
Conditional Probability 


4.7 
Bayes’ Theorem 
9 
3/14 

Spring Break 
10 
3/21 
5.3 
Probability Applications of Counting Principles 


5.4 
Bernoulli’s Trials 


6.1 
Random Variables and Histograms 
11 
3/28 
6.2 
Measure of Central Tendency 


6.3 
Measure of Spread 


6.4 
Normal Distribution 
12 
4/4 
F1 
Simple interest and discount 


F2 
Compound interest 


F3 
Annuities 


F4 
Present value of Annuities and Amortization 
13 
4/11 

Exam II 
14 
4/18 
2.1 
Introduction to Matrices 


2.2 
Matrix Multiplication 


1.3 
Gauss Elimination for system of Linear Equations 
15 
4/25 
1.4 
System of Equations with NonUnique Solutions 


2.3 
Inverse of a Square Matrix 
16 
5/2 

Final Exam 