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Mathematics for Business Analysis I – Spring, 2006

Instructor: Jean Peterson Phone: 424-3012
Office Hours: TTh 11:30 – 12:30. (You may stop at my office any time.) e-mail: petersja<at>uwosh.edu

Text

Finite Mathematics 10th edition, by Barnett and Ziegler

Calculator

TI-83 Graphics Programmable Calculator is required.

Course Outline

Quizzes

There will be a quiz most Thursdays at the end of class (except for the weeks with exams.) Of the total number of quizzes, your lowest score will be dropped. The remaining quizzes will be averaged, for a total of 20% of your grade. There will be no makeups for missed quizzes.

Exams

There will be three exams, each counting for 20% of your grade. The exams will be on Thursday Mar. 2, Tuesday April 4, and Tuesday May 9. If you have conflicts with any of these times, please notify the instructor as soon as possible. Exams will be closed book. The third exam will be cumulative. Exams will be closed book but you may use one page of notes during the exams.

Quizzes

80 points. There will be many in class short quizzes. The lowest quiz grade of those taken will be dropped

Exams and quizzes may not be made up..

Groupwork and Class Participation

20% of grade.

Class participation includes asking and answering questions, presenting problem solutions to the class, sharing ideas, and regular class attendance.

Grading

Letter % Range

A [90,100]

AB [87, 90)

B [79,87)

BC [76, 79)

C [67, 76)

D [57,67)

F [0, 57)

Course Objectives

Functions

Learn the idea of a function and its uses.

Mathematics of Finance

Apply simple interest, compound interest, annuities, sinking funds, present value and future value formulas.

Systems of Linear Equations and Matrices

Learn various ways of solving systems of equations (graphing, substitution, Gauss-Jordan elimination method.) This includes the special cases where the systems may have infinitely may solutions or where the number of variables may not be the same as the number of equations. The use of matrices, including the inverse, are studied.

Linear Programming (Geometric method)

Learn the basic concepts of solving linear programming problems, that is, to find the solution which maximizes or minimizes the objective function subject to the constraints of a system of linear inequalities.

Probability and Statistics

Learn the basic concepts of probability and descriptive statistics.

Notes