| 1 |
1.1 |
Mathematical Models |
|
1.2 |
Systems of linear Equations |
|
3.1 |
Linear Programming Problems |
|
3.2 |
Graphing Linear Inequalities |
|
3.3 |
Graphical Solutions of linear programming |
|
4.1 |
Introduction to sets |
|
4.2 |
The number of elements in a set |
|
4.3 |
Sample Spaces and Events |
|
4.4 |
Basic Probability |
|
5.1 |
Multiplication Principle and Permutations |
|
5.2 |
Combinations |
| Exam 1 |
June 8 |
Exam 1 (In person) 10:00am to Noon (SCHN 151) |
| 2 |
4.5 |
Rules for Probability |
|
4.6 |
Conditional Probability |
|
4.7 |
Bayes’ Theorem |
|
5.3 |
Probability Applications of Counting Principles |
|
5.4 |
Bernoulli’s Trials |
|
6.1 |
Random Variables and Histograms |
|
6.2 |
Measure of Central Tendency |
|
6.3 |
Measure of Spread |
|
6.4 |
Normal Distribution |
| Exam 2 |
June 20 |
Exam 2 (In person) 10:00am to Noon (SCHN 151) |
|
F1 |
Simple interest and discount |
|
F2 |
Compound interest |
|
F3 |
Annuities |
|
F4 |
Present value of Annuities and Amortization |
|
2.1 |
Introduction to Matrices |
|
2.2 |
Matrix Multiplication |
|
1.3 |
Gauss Elimination for system of Linear Equations |
|
1.4 |
System of Equations with Non-Unique Solutions |
|
2.3 |
Inverse of a Square Matrix |
| Finals |
June 30 |
Final Exam 10:00am to Noon (SCHN 151) |