MATH 120 - Finite Mathematics

The following are the Student Learning Outcomes (SLOs) and Course Measurable Objectives (CMOs) for MATH 120. A Student Learning Outcome is a measurable outcome statement about what a student will think, know, or be able to do as a result of an educational experience. Course Measurable Objectives focus more on course content, and can be considered to be smaller pieces that build up to the SLOs.

Student Learning Outcomes (SLOs)

  1. Students will be able to solve a linear programming problem using the geometric approach.
  2. Students will be able to solve a binomial probability distribution problem.

Course Measurable Objectives (CMOs)

  1. Apply techniques of mathematical modeling to problems from business, economics and social sciences using formulas, graphs, and systems of equations. 
  2. Apply linear programming techniques for maximizing and minimizing linear functions.
  3. Apply and solve formulas for calculating interest, present value, future value, annuities, and sinking funds, as well as determine payments and lump sum deposits. 
  4. Apply exponential graphs and functions.
  5. Translate large amounts of real life data into mathematical models involving matrices.
  6. Solve linear programming problems in at least three variables.
  7. Use matrix theory to manipulate data.
  8. Solve a system of linear equations using Gauss-Jordan elimination and interpret the result.
  9. Find the inverse of a square matrix and use the inverse to solve a system of linear equations.
  10. Propose appropriate counting models involving sets, permutations, and combinations for situations where straightforward counting is impractical. 
  11. Formulate probabilistic models and calculate the probability of various events, including conditional probabilities.
  12. Find unions, intersections, and complements of sets and use Venn diagrams to solve problems.
  13. Develop models that use Markov chains to study patterns for the future and to make predictions. 
  14. Analyze, organize, and interpret numerical data.