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2019-2020 Course Catalog
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# MATH 1050 - Finite Mathematics

Credits: 3
Hours/Week: Lecture None Lab None
Course Description: This is an introductory course providing examples of how mathematics is applied in business, science, and social science. Topics include applications of linear equations, matrix algebra, linear programming, mathematics of finance, counting techniques, probability, and Markov chains. Use of a scientific or graphing calculator is required (see instructor for acceptable models). Offered S.
MnTC Goals
4 Mathematics/Logical Reasoning

Prerequisite(s): MATH 0070  with a grade of C or higher, or placement into MATH 1050.
Corequisite(s): None
Recommendation: Eligible for college-level Reading and English.

Major Content

1. Linear Programming and Applications
2. Linear Systems and Applications
3. Markov Chains and Applications
4. Mathematics of Finance
5. Matrix Algebra and Applications
6. Probability, Permutations and Combinations
7. Set Theory and Applications

Learning Outcomes
At the end of this course students will be able to:

1. Determine when it is appropriate to use a linear model to depict a real-world problem.
2. Describe and predict data outcomes for applied problems using linear functions.
3. Solve linear programming problems involving inequalities using graphical and matrix methods.
4. Solve present-value and future-value problems.
5. Organize data using matrices.
6. Solve systems of linear equations using graphical, algebraic, and matrix methods.
7. Demonstrate critical and logical reasoning when solving problems.
8. Model and solve applied problems using probability methods.
9. Model and solve applied problems using set notation and Venn diagrams.
10. communicate clearly a problems solution and its explanation for the intended audience in terms of the problem posed.

Competency 1 (1-6)
04. 01. Illustrate historical and contemporary applications of mathematical/logical systems.

04. 02. Clearly express mathematical/logical ideas in writing.

04. 04. Apply higher-order problem-solving and/or modeling strategies.

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