Maricopa Community Colleges  MAT172   20046-99999 
Official Course Description: MCCCD Approval: 02/24/04
MAT172 20046-99999 LEC 3 Credit(s) 3 Period(s)
Finite Mathematics
An introduction to the mathematics required for the study of social and behavioral sciences. Includes combinatorics, probability, descriptive statistics, matrix algebra, linear programming and the mathematics of finance. Includes applications of technology in problem-solving. Prerequisites: Grade of "C" or better in MAT150, or MAT151, or MAT152, or MAT187 or equivalent, or satisfactory score on District placement exam.
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MCCCD Official Course Competencies:
 
MAT172   20046-99999 Finite Mathematics
1. Solve linear systems with two and three equations using various matrix methods. (I)
2. Use technology to solve application problems. (I, II, III, V) 3 Solve systems of linear inequalities using linear programming. (II)
3. Solve problems related to financial applications. (III)
4. Solve counting problems using various counting techniques. (IV)
5. Solve probability applications. (V, VI)
6. Use descriptive statistics to analyze data sets. (VI)
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MCCCD Official Course Outline:
 
MAT172   20046-99999 Finite Mathematics
    I. Systems of linear equations and matrices
        A. Matrices applied to a system of linear equations
        B. Inverse matrices and their applications to solve a system of linear equations
        C. Solving systems of linear equations using the Gauss-Jordan and elimination methods
      II. Linear programming
          A. Graphing systems of linear inequalities
          B. Solving and interpreting linear programming applications in two dimensions using graphical techniques
          C. Using the Simplex method to solve and analyze maximum and minimum linear programming applications
        III. The Mathematics of Finance
            A. Simple interest
            B. Compound interest
            C. Annuities
            D. Amortization
          IV. Combinatorics
              A. Sets and Venn diagrams
              B. Fundamental principle of counting
              C. Permutations and combinations
            V. Probability
                A. Fundamental concepts
                B. Conditional probability and independent events
                C. Applications of Bayes' Theorem
                D. Binomial applications
              VI. Statistics
                  A. Measures of central tendency
                  B. Standard deviation
                  C. Normal distributions
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