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Textbooks

Finite Mathematics and Its Applications, 12th Edition (2018). by Goldstein, Schneider, Siegel, and Hair. Publisher: Pearson    

There are two purchasing options for this book and MyMathLab access. You are not required to purchase a paper copy of this textbook. MyMathLab (online software) is required for the assignments in this course.  

  1. MyMathLab access and ebook = ISBN 13: 978-0-13-476572-3
  2. MyMathLab access plus a looseleaf (paper) copy of the textbook = ISBN 13: 978-0-13-476858-8

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.

Course ID hahn23648 Buy the access code from MyMathLab (instant with a credit card), the MBS bookstore (with a book voucher if you qualify) or a vendor of your choice. You use the Access Code to prove payment for the course, then the instructor provides you with a course ID to join a specific instructor's course.

If you do not have an Access Code on the first day of class, there is a free 2 week trial you can use until you receive your code. Please make sure you have your code by the time the free access expires.

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: MA103 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