MATH 111 - College Algebra

5 Credits

Applications of functions (linear, quadratic, exponential and logarithmic) in business and social sciences, including total cost revenue and profit; break-even analysis; supply/demand and market equilibrium; exponential growth and decay; fitting curves to data with graphing utilities; theory of matrices; graphical methods for optimization (linear programming problems); and mathematics of finance (arithmetic and geometric sequences and sums).

Pre-requisite(s) Math 091 min 2.0
Course Note Graphing Calculator Required; TI-84 recommended
Fees

Quarters Typically Offered
Summer Day
Fall Day, Online
Winter Day, Evening
Spring Day, Evening

Designed to Serve General education students and students majoring in business and social science who require skill in quantitative reasoning and critical thinking. In particular, this course is intended to satisfy many schools’ requirement for a college algebra course.
Active Date 20230320T11:39:32

Grading Basis Decimal Grade
Class Limit 32
Contact Hours: Lecture 55
Total Contact Hours 55
Degree Distributions:
AA

Quantitative Skills
Science

ProfTech Related Instruction

Computation

PLA Eligible Yes

Course Outline

Applications of functions (linear, quadratic, exponential, logarithmic) in business and social sciences: total cost, total revenue, total profit; breakeven analysis; supply/demand and market equilibrium; exponential growth and decay; fitting curves to data with graphing utilities.
Theory of matrices applied to business and social science (e.g., inventory and coding).
Optimization (linear programming) problems using graphical methods, matrices (Gauss-Jordan elimination), and technology where appropriate
Mathematics of finance, including simple and compound interest, future and/or present values of ordinary annuities, loans and amortization)

Student Learning Outcomes
Construct, analyze, and interpret linear, quadratic and exponential functions applied to (1) total cost, total revenue, total profit; (2) breakeven analysis; (3) supply/demand and market equilibrium; (4) exponential growth and decay; and (5) fitting curves to data with graphing utilities.

Accurately describe the important quantities, variables, and relationships (including units of measure) in a given application, using function notation where appropriate.

Interpret the meaning in everyday language of (1) the breakeven point, (2) function notation, (3) the results of Reduced Row Eschelon form of a matrix, and (4) mathematics of finance.

Identify elements and dimensions of matrices, perform and interpret the results of matrix operations, including adding and multiply matrices and solving systems of equations.

Solve optimization (linear programming) problems using graphical methods, matrices, and technology where appropriate.

Apply geometric sequences to solve finance problems, including solving for future or present value, interest rates, compounding times, lump sums, ordinary annuities and loans.