Student Learning Outcomes

• Students will be able to solve a binomial probability distribution problem.
• Students will be able to solve a linear programming problem using the geometric approach
• Students will be able to solve a linear programming problem using the simplex approach.
• Analyze, organize, and interpret numerical data.
• Develop models that use Markov chains to study patterns for the future and to make predictions.
• Formulate probabilistic models and calculate the probability of various events.
• Propose appropriate counting models involving sets, permutations, and combinations for situations where straightforward counting is impractical.
• Translate large amounts of real life data into mathematical models involving matrices, and use matrix theory to manipulate data.
• Apply formulas for calculating interest, present value, annuities, and sinking funds, as well as determine payments and lump sum deposits.
• Apply linear programming techniques for maximizing and minimizing linear functions.
• Apply techniques of mathematical modeling to problems from business, economics and social sciences using formulas, graphs, and systems of equations.
• Students will feel that mathematics is a beneficial part of their education
• Math students feel they have the resources necessary for their success.