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Math 1324 Finite Mathematics Information

LSC-CyFair Math Department

Catalog Description
Matrices, systems of equations, linear programming, the simplex method, probability, and mathematics of finance.
Primarily for business majors and liberal arts students.

Course Learning Outcomes
The student will:
• Set up and solve systems of equations using matrix methods.
• Perform operations with matrices.
• Set up and solve linear programming applications using geometric and simplex methods.
• Compute probabilities using principles of sets and counting.
• Analyze data using basic principles of statistics.
• Solve financial applications involving simple and compound interest and annuities.

Contact Hour Information
Credit Hours:  3
Lecture Hours:  3
Lab Hours:  0
External Hours: 0
Total Contact Hours:  48

Prerequisites
Math 1314 OR placement by testing;
ENGL 0305 or ENGL 0365 OR higher level course (ENGL 1301), OR placement by testing

Corequisite
ENGL 0307

Getting Started Assignments
Review exercises in MyMathLab that can be copied into your own course.  Copy three "getting started" assignments
from Chapter 1 from jezek11323

Required Materials

Textbook:

Lial, Greenwell and Ritchey; Finite Mathematics & Calculus with Applications, 9th ed. with MyMathLab access;
Pearson; ISBN Numbers:
          Textbook Plus MyMathLab Portal Access:  9781256636618
          Textbook Only:  9780321749086
          MyMathLab Portal Access Only:  9780558357603
 

Calculator:

Graphing Calculator required.  TI 83, TI 84 or TI 86 series calculators recommended. 
Calculators capable of symbolic manipulation will not be allowed on tests.  Examples include, but are not limited to,
TI 89, TI 92, and Nspire CAS models and HP 48 models. 
Neither cell phones nor PDA’s can be used as calculators.  Calculators may be cleared before tests.

 

Textbook Sections
 

Chapter 2. Systems of Linear Equations and Matrices

2.1 Solution of Linear Systems by the Echelon Method

2.2 Solution of Linear Systems by the Gauss-Jordan Method

2.3 Addition and Subtraction of Matrices

2.4 Multiplication of Matrices

 

Chapter 3. Linear Programming: The Graphical Method

3.1 Graphing Linear Inequalities

3.2 Solving Linear Programming Problems Graphically

3.3 Applications of Linear Programming

 

Chapter 4. Linear Programming: The Simplex Method

4.1 Slack Variables and the Pivot

4.2 Maximization Problems

4.3 Minimization Problems; Duality

 

Chapter 5. Mathematics of Finance

5.1 Simple and Compound Interest

5.2 Future Value of an Annuity

5.3 Present Value of an Annuity; Amortization

 

Chapter 7. Sets and Probability

7.1 Sets

7.2 Applications of Venn Diagrams

7.3 Introduction to Probability

7.4 Basic Concepts of Probability

7.5 Conditional Probability; Independent Events

7.6 Bayes' Theorem

 

Chapter 8.  Counting Principles; Further Probability Topics

8.1 The Multiplication Principle; Permutations

8.2 Combinations

8.3 Probability Applications of Counting Principles

8.4 Binomial Probability

8.5 Probability Distributions; Expected Value

Chapter 9. Statistics

9.1 Frequency Distributions; Measures of Central Tendency

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