# 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)**

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

**Course Measurable Objectives (CMOs)**

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