MATH 1360  Finite Mathematics Credit Hours: 4.00 Prerequisites: MATH 1000 with grade C or better; or equivalent college course; or an acceptable score on a placement or prerequisite exam
MATH 1360 is the first of two mathematics courses for students majoring in the areas of business, social science, or life science and includes applications of linear, quadratic, polynomial, exponential, and logarithmic functions; systems of linear equations and inequalities; algebra of matrices and linear programming; elements of probability theory; and applications of probability.
Billable Contact Hours: 4
Search for Sections OUTCOMES AND OBJECTIVES Outcome 1: Upon completion of this course, the student will be able to apply knowledge of linear and quadratic functions in the areas of business, life sciences, and social sciences.Objectives  Identify functions specified by equations.
 Use function notation to represent and evaluate functions at given values.
 Identify linear and quadratic equations and apply their use to business applications.
Outcome 2: Upon completion of this course, the student will be able to apply knowledge of exponential and logarithmic functions in the areas of business, life sciences, and social sciences. Objectives:  Identify and graph exponential functions.
 Identify and graph logarithmic functions.
 Apply exponential and logarithmic functions to business, life sciences, economics, and social sciences.
Outcome 3: Upon completion of this course, the student will be able to use simple interest, compound interest, and ordinary annuity formulas to find present value or future value of money and find amortization and sinking fund payments. Objectives  Apply the simple interest formula in finance problems.
 Apply the compound interest formula in finance problems.
 Apply the future value formula in problems involving annuities and sinking funds.
 Apply the present value formula in problems involving annuities and amortization.
Outcome 4: Upon completion of this course, the student will be able to use matrix methods to solve systems of equations and linear programming problems. Objectives:  Solve systems of linear equations using matrices.
 Apply the algebra of matrices to applications.
 Solve linear programming problems in two variables geometrically.
 Solve linear programming problems using the Simplex Method.
Outcome 5: Upon completion of this course, the student will be able to apply the concepts of counting, probability, and probability distributions to find the probability of events in the context of business, life science, and social science. Objectives:  Apply basic counting principles to problems of probability.
 Describe sample spaces and find probability of events.
 Describe random variables and their distributions.
 Solve probability problems using Empirical probabilities.
 Solve applied problems in conditional probability and determine if events are independent.
COMMON DEGREE OUTCOMES (CDO) • Communication: The graduate can communicate effectively for the intended purpose and audience. • Critical Thinking: The graduate can make informed decisions after analyzing information or evidence related to the issue. • Global Literacy: The graduate can analyze human behavior or experiences through cultural, social, political, or economic perspectives. • Information Literacy: The graduate can responsibly use information gathered from a variety of formats in order to complete a task. • Quantitative Reasoning: The graduate can apply quantitative methods or evidence to solve problems or make judgments. • Scientific Literacy: The graduate can produce or interpret scientific information presented in a variety of formats.
CDO marked YES apply to this course: Quantitative Reasoning: YES COURSE CONTENT OUTLINE  Elementary Functions
 Linear functions
 Form of Linear Functions
 Graphs of Linear Functions
 Applications of Functions
 Quadratic Functions
 Form of Quadratic Functions
 Graphs of Quadratic Functions
 Applications of Quadratic Functions
 Polynomial and Rational Functions
 Graphs of Polynomial and Rational Functions
 Applications of Polynomial and Rational Functions
 Logarithmic and Exponential Functions
 Properties of Logarithmic and Exponential Functions
 Applications of Logarithmic and Exponential Functions
 Mathematics of Finance
 Simple Interest
 Compound Interest
 Future Value of Ordinary Annuities and Sinking Funds
 Present Value of Ordinary Annuities and Amortization
 Matrices
 Using Matrices to Solve Systems of Linear Equations
 Augmented Matrices
 GaussJordan Elimination
 Matrix Equations
 Linear Programming and the Simplex Method
 Probability
 Basic Counting Principles
 Permutations and Combinations
 Probability Experiments
 Random Variable and Probability Distributions
Primary Faculty Chapman, Lori Secondary Faculty Friday, David Associate Dean McMillen, Lisa Dean Pritchett, Marie
Official Course Syllabus  Macomb Community College, 14500 E 12 Mile Road, Warren, MI 48088
Add to Favorites (opens a new window)
