MA108 (EX16) OS - Finite Math

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About This Course

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This course has an assignment that is due by 11:55 pm Central Standard Time on Wednesday night of the first week of class.  Failure to complete this assignment will result in your removal from the course for non-participation. 

Textbooks

Finite Mathematics and Its Applications, 11th Edition, Goldstein, Schneider, and Siegel     

ISBN 10: 0-321-87805-1 for the hardcover textbook alone (see optional ebook below)

ISBN 10: 0-321-91393-0 for the hardcover textbook with MyMathLab Access

ISBN 10: 0-321-19991-X (ISBN 13: 978-0-321-19991-1) for the MyMathLab Access alone (contains the pdf of the textbook)

 

 

A MyMathLab access code is required in order to complete the assignments, including exams for this course. MyMathLab courseware is the web-based software that is used for homework and testing in the course. The access code may be purchased with the textbook through the university bookstore or online with a credit card directly from the publisher.  Students may choose to use the ebook that comes with the MyMathLab access course materials rather than purchasing the hard cover textbook. The MyMathLab software contains a pdf version of the textbook.

Course Special Requirements

Students need a scientific calculator to perform calculations in this course.   A graphing calculator is not necessary.

Course Description

Finite Mathematics is designed to introduce students to concepts of mathematics that are relevant to business and social science applications. This includes topics such as systems and equations related to matrices, linear inequalities and linear programming, basic set theory, probability, measures of central tendency and dispersion, and counting techniques, permutations, and combinations. Prerequisite: College Algebra.

Course Objectives

  Upon successful completion of the course, each participant will be able to:
1. Use linear functions to solve problems in business and the social sciences
2. Use the “Method of Least Squares” to fit a set of data points to a linear equation
3. Use matrix methods to solve systems of equations and inequalities
4. Use linear programming to solve optimization problems
5. Use the simplex method to solve problems with multiple variables
6. Use the concepts of counting theory, in particular permutations and combinations
7. Calculate probabilities