Mathematics for Business Analysis I – Fall, 2006
Instructor: Jean Peterson
Phone: 424-3078
Office: Swart 122
Office Hours: TTh 12:00-1:00 (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 or equivalent is required.
Course Outline:
Chapters 1 & 2: Library of Functions
Chapter 3: Mathematics of Finance
Chapter 4: Systems of Linear Equations; Matrices
Chapter 5: Linear Programming (Sections 5.1 and 5.2)
Chapter 6: Probability
Chapter 7: Data Description and Probability Distribution (selected sections)
Chapter 8: Games and Decisions (selected sections)
Chapter 9: Markov Chains (selected sections)
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 Oct. 5, Thursday November 2, and Thursday December 14. If you have conflicts with any of these times, please notify the instructor as soon as possible. The third exam will be cumulative. Exams will be closed book but you may use one page of notes during the exams.
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. Leaving early or coming in late is considered to be negative class participation.
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
- I would like to get to know all of you.
- I encourage you to see me sometime during my office hours.
- Tutors are available free of charge in Swart 113.
- Success in using the text will depend on reading, questioning, and thinking about the ideas presented.
- Learn by thinking and doing.
- Work together and learn from each other.
- Try to read ahead so as to better assimilate the ideas presented in class.