Finite Math –

mat205

(3 credits)

This course introduces the concepts of finite mathematics, with a focus on real-world application. Students will explore linear functions and equations, linear programming, and the use and application of matrices. Mathematical applications of finance, statistics, and probability are also reviewed.

This undergraduate-level course is 9 weeks. This course is available to take individually or as part of a degree or certificate program. To enroll, speak with an Enrollment Representative.

Linear Equations

  • Solve linear equations and inequalities.
  • Graph linear equations in two variables.
  • Use mathematical modeling and linear regression to make predictions.

Functions

  • Solve function problems.
  • Solve exponential function problems.
  • Solve logarithmic function problems.

The Mathematics of Finance, Part I

  • Solve simple interest problems.
  • Solve compound interest problems.
  • Solve problems involving future and present value of annuities.

The Mathematics of Finance, Part II

  • Solve simple interest problems.
  • Solve compound interest problems.
  • Solve problems involving future and present value of annuities.

Systems of Linear Equations and Linear Programming, Part I

  • Solve systems of linear equations.
  • Perform operations on matrices.
  • Solve matrix equations.
  • Solve linear programming problems geometrically.
  • Solve linear programming problems by the simplex method.

Systems of Linear Equations and Linear Programming, Part II

  • Solve systems of linear equations.
  • Perform operations on matrices.
  • Solve matrix equations.
  • Solve linear programming problems geometrically.
  • Solve linear programming problems by the simplex method.

Logic, Probability, and Statistics, Part I

  • Apply counting principles to solve problems.
  • Solve probability problems.
  • Make decisions by computing the expected value of random variables.
  • Summarize and present data using graphs, measures of central tendency, and measures of dispersion.
  • Solve problems involving discrete probability.

Logic, Probability, and Statistics, Part II

  • Apply counting principles to solve problems.
  • Solve probability problems.
  • Make decisions by computing the expected value of random variables.
  • Summarize and present data using graphs, measures of central tendency, and measures of dispersion.
  • Solve problems involving discrete probability.

Markov Chains and Game Theory

  • Solve problems involving Markov chains.
  • Solve problems involving game theory.

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