Dec 26, 2024  
2017-2018 Course Catalog 
    
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2017-2018 Course Catalog [ARCHIVED CATALOG]

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MATH 1050 - Finite Mathematics

Credits: 3
Hours/Week: Lecture NoneLab 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 70 with a grade of C or higher, or assessment score placement in MATH 1050.
Corequisite(s): None
Recommendation: Assessment score placement in RDNG 1000  or above, or completion of RDNG 0900  RDNG 0950  with a grade of C or higher.

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.


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