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 106, or a score of 21 or higher on the math portion of the ACT (or if the ACT was taken before September 1989, a score of 20) or a score of 500 or higher on the math portion of the SAT or a passing score on the Columbia College math placement exam. G.E.
Prerequisite(s) / Corequisite(s):
Grade of C or higher in MATH 106, or a score of 21 or higher on the math portion of the ACT (or if the ACT was taken before September 1989, a score of 20) or a score of 500 or higher on the math portion of the SAT or a passing score on the Columbia College math placement exam.
Course Rotation for Day Program:
Offered Fall and Spring.
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.
By Rolf, Howard L. (Thompson-Brooks/Cole) Recommended
By Armstrong, Bill & Don Davis (Prentice Hall) Recommended
A Survey of Mathematics with Applications
By Angel, Abbott, Runde (Pearson) Recommended
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.
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.
Systems of linear equations
Linear programming: the graphical method
Mathematics of finance
Sets and counting
Recommended maximum class size for this course: 30
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.