Skip to Main Content

MASTER SYLLABUS

Master Syllabus

Print this Syllabus « Return to Previous Page

Administrative Unit: Computer and Mathematical Sciences Department
Course Prefix and Number: MATH 170
Course Title: Finite Mathematics
Number of:
Credit Hours 3
Lecture Hours 3
Lab Hours 0
Catalog Description:

This course presents a variety of applications of algebra to real-world problems and includes an introduction to set theory, probability and statistics. Topics include linear functions, systems of linear equations and inequalities, matrices,  linear programming, basic counting and probability, and the mathematics of finance. Prerequisite: Grade of C or higher in MATH 104, or a score of 19 or above on the math portion of the ACT (or if the ACT was taken before September 1989, a score of 20) or 460 or above SAT score, or a passing grade on the Columbia College math placement exam. G.E.

 
Prerequisite(s) / Corequisite(s):

Grade of C or higher in MATH 104, or a score of 19 or above on the math portion of the ACT (or if the ACT was taken before September 1989, a score of 20) or 460 or above SAT score, or a passing grade on the Columbia College math placement exam.

 
Course Rotation for Day Program: Offered Fall and Spring.
 
Text(s): Most current editions of the following:

Finite Mathematics
By Rolf, Howard L. (Thompson-Brooks/Cole)
Recommended
Finite Mathematics
By Armstrong, Bill & Don Davis (Prentice Hall)
Recommended
 
Course Objectives

  • To communicate mathematically in both written and verbal forms.
  • To reason with symbolic and graphical representations.
  • To use mathematics to solve business and other real-world problems.
  • To construct and discuss mathematical models.
  • To use technology, such as graphing calculators and computers, to enhance mathematical understandings and to solve application problems.

  •  
    Measurable Learning Outcomes:

  • Graph systems of linear equations and inequalities.
  • Solve systems of linear equations and inequalities both graphically and algebraically.
  • Use the Gauss-Jordan method to solve systems of equations.
  • Solve financial problems such as those involving simple and compound interest, annuities, sinking funds, and amortization formulas.
  • Apply basic concepts of set theory and combinatorics to practical problems.
  • Apply basic concepts of probability to practical problems.
  • Calculate statistical measures of central tendency and dispersion and make conclusions about data from these measures.

  •  
    Topical Outline:

  • Linear functions
  • Systems of linear equations
  • Linear programming: the graphical method
  • Mathematics of finance
  • Sets and counting
  • Probability
  • Statistics

  •  

    Recommended maximum class size for this course: 30

     
    Library Resources:

    Online databases are available at http://www.ccis.edu/offices/library/index.asp. You may access them from off-campus using your CougarTrack login and password when prompted.

     
    Prepared by: Suzanne Tourville Date: November 19, 2010
    NOTE: The intention of this master course syllabus is to provide an outline of the contents of this course, as specified by the faculty of Columbia College, regardless of who teaches the course, when it is taught, or where it is taught. Faculty members teaching this course for Columbia College are expected to facilitate learning pursuant to the course objectives and cover the subjects listed in the topical outline. However, instructors are also encouraged to cover additional topics of interest so long as those topics are relevant to the course's subject. The master syllabus is, therefore, prescriptive in nature but also allows for a diversity of individual approaches to course material.

    Office of Academic Affairs
    12/04