# Master Syllabus

 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.G.E Prerequisite: Grade of C or higher in MATH 104, or a score of 20 or above on the math portion of the ACT or a score of 480 or above on the math portion of SAT, or a passing grade on the Columbia College math placement exam. Prerequisite(s) / Corequisite(s): Grade of C or higher in MATH 104, or a score of 20 or above on the math portion of the ACT or a score of 480 or above on the math portion of SAT, 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:A TI-84 calculator is required for this course. This calculator will be allowed on most assessment opportunities in this course. Finite MathematicsBy Rolf, Howard L. (Thompson-Brooks/Cole) RecommendedFinite MathematicsBy Armstrong, Bill & Don Davis (Prentice Hall) RecommendedA Survey of Mathematics with ApplicationsBy Angel, Abbott, Runde (Pearson) Recommended Course Learning Outcomes Graph and solve systems of linear equations and inequalities. 2.  Solve financial problems such as those involving simple and compound interest, annuities, sinking funds, and amortization formulas. 3.  Solve practical problems requiring basic concepts of set theory, combinatorics and probability. 4.  Calculate statistical measures of central tendency and dispersion and make conclusions about data from these measures. Major Topics/Skills to be Covered: 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 using your CougarTrack login and password when prompted.
Prepared by: Suzanne Tourville Date: November 15, 2016
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 learning outcomes and cover the subjects listed in the Major Topics/Skills to be Covered section. 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.