Math 181:  Finite Mathematics

 Calendar for Winter Semester 2017
 Grading for Math 181
 Listing of support pages
 Roadmaps of the Chapter Topics
 General Course Notes associated with the book
 Listing of, and links to, TI-83 and TI-84 Programs
 Test Selection
 
 
The following sectons of this "page" represent the syllabus for this course. The Math 181 course continues to evolve.
Course Syllabus
Course Number:   Math 181
Course Title:   Mathematical Analysis I
Credit Hours:   4 
Prerequisite(s):   College level Reading and Writing; and
[Pass Math 169 with a "C" or better;
or Compass Algebra score of 66 or higher.] 
Corequisite(s):   None 
Contact Hours Per Week:   4 
Semester Contact Hours:   60 
Catalog Description:   This course teaches the methods and applications of finite mathematics applied to social science and business. Topics covered include solution to linear equations and inequalities, mathematics of finance, matrices, linear programming, sets, probability and statistics. To confirm transfer equivalency, consult a counselor or check the Web page of the college to which you are transferring. A graphing calculator is required for this course. See the time schedule for current brand and model. 
Textbook:   finite Mathematics 5e
   Author(s):   Stefan Waner and Steven R. Costenoble  
   Publisher:   Brooks/Cole 
   Edition:   Fifth 
   ISBN:   978-1-4390-4924 
Required Equipment and Supplies:   TI-83/84 family Graphing Calculator
TI-83, TI-83 Plus, TI-84 Plus, TI-84 Plus Silver Edition
TI-84 Plus C Silver Edition (See Discuss different versions of the calculator)
Required Access   Access to the Internet 

  Course Outcomes:

  1. Use mathematical tools of linear equations, system of linear equations and linear programming in a business application.
  2. Use the mathematical tools of probability and descriptive statistics in a business application.
  3. Apply basic financial models.

  Course Objectives:

  1. Graph equations.
  2. Derive linear equations from graphs.
  3. Perform, via calculator, a linear regression on a data set, determine the regression equation, graph the points and the equation and give an appropriate analysis of the derived model.
  4. Set up and solve via graphing a linear programming problem involving two variables.
  5. Identify and apply the outcomes of experiments.
  6. Apply the use of conditional probability and independent events.
  7. Calculate the measures of central tendencies, variance and standard deviation given the appropriate conditions in a textual setting.
  8. Solve select financial problems which may include topics such as simple interest, compound interest, annuities, loans and bounds.
 

©Roger M. Palay
Saline, MI 48176
August, 2016