About Us academics students faculty & staff alumni & friends resources NMU
 

MA103 FINITE MATHEMATICS (4 Cr.)

COURSE DESCRIPTION

 

Satisfies the foundations of natural science/mathematics requirement.

 

Prerequisite: MA 100 (Passed with C- or better) or satisfactory score on Math Placement Exam.  A graphing calculator or equivalent software is required.

General Introduction
The course covers linear equations, systems of linear equations, inequalities, linear programming, functions, the mathematics of finance, matrices, permutations, combinations and probability.

This course is designed primarily for students in business, economics, management, and the social sciences and life sciences.   MA 103 builds on the algebraic skills of MA 100 while emphasizing applications, modeling, and decision-making from business, social and natural sciences, medicine, and other areas.  It is a prerequisite for MA 171 and can be used as a Liberal Studies elective under Division III Natural Sciences/Mathematics.

Course Content

  1. Review of Algebra
    1. Polynomials and rational expressions
    2. Solving equations and inequalities
    3. Exponents and radicals
  2. Linear Functions
    1. Equations of lines
    2. Functional notation and definitions
    3. Linear functions and models
    4. Math models and curve fitting
  3. Matrices
    1. Definitions and applications for matrices
    2. Solving systems of equations using matrices
    3. Operations with matrices and finding inverses
    4. Modeling and solving problems using matrices
  4. Linear Programming
    1. Graphing linear inequalities
    2. Solving linear programming problems graphically
    3. Modeling and solving linear programming applications
  5. Finance
    1. Simple and compound interest
    2. Geometric sequences and annuities
    3. Loans and amortization
    4. Present value of future money
  6. Probability
    1. Notation, Venn diagrams, counting techniques
    2. Probability of simple and compound events
    3. Conditional probability
    4. Bernoulli trials
    5. Probability distributions of random variables; means (or expected values)
  7. Introductory Statistics
    1. Graphical representations of data-sets, frequency tables
    2. Numerical summaries of data-sets

Home
CS Courses
MA Courses
MA Ed Courses
MA Graduate Courses
MAED Graduate Courses

MA090 MA100 MA103 MA104 MA105 MA106 MA115 MA161 MA163 MA171 MA211 MA240 MA265 MA271 MA275 MA295 MA297 MA298 MA310 MA312 MA331 MA340 MA361 MA363 MA366 MA371 MA380 MA381 MA410 MA412 MA462 MA464 MA465 MA472 MA473 MA475 MA478 MA481 MA482 MA483 MA484 MA485 MA490 MA491 MA495 MA496 MA497 MA498