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67‐204 Mathematics for Business Analysis I 

Fall 2007 

 

Instructor 

 

Asõkā Rāmanāyake 

 

 

Office: Swart 223 

 

Office Hours:  

• Monday 12:40‐1:40 

• Wednesday 8:00‐9:00 

• Thursday  9:10‐11:20 

If you cannot make my office hours, please feel free to make an appointment or use 

e‐mail to ask questions.  

 

Phone: 424‐2305 

 

Email:  

[email protected]

 

Web: 

http://www.uwosh.edu/faculty_staff/ramanaya/

Course Objectives 

This course is designed to acquaint business students with 

mathematical techniques, which are useful in business and 

management. Topics include functions, matrix algebra and 

applications, linear programming, probability, and mathematics of 

finance. Upon completion of this course, the student should be able 

to ... 

• Identify  the  basic  graphs  and  properties  of  polynomial,  rational,  exponential,  and 

logarithmic  functions.  Apply  the  knowledge  of  functions  to  business  applications 

such  as  simple,  compound  or  continuous  compound  interest,  ordinary  annuities, 

finding the maximum or minimum for quantities which are quadratic functions, and 

finding break even points. 

• Perform basic operations with matrices, and use matrix methods to solve systems of 

linear  equations.  Apply  the  knowledge  of  matrices  to  business  problems  such  as 

inventory, production, and total cost. 

• Use geometric method to solve linear programming problems. Interpret information 

as  an  objective  function  with  constraints,  set  up  the  linear  programming  problem, 

solve the problem and interpret the result in the context of the problem.  

• Use  basic  counting  techniques  and  calculate  probabilities,  including  conditional 

probabilities.  Apply  the  mathematical  knowledge  of  probability  to  business 

problems and interpret the results. 

Calculate  measures  of  central  tendency  and  measures  of  dispersion.  Apply  the 

mathematical skills to problems in various business settings and interpret the results. 

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Prerequisites:   

 

 

67‐103 or 67‐108 with a grade C or above. 

 

Textbook:    

 

R.A. Barnett, M.R. Ziegler and K.E. Byleen, College Mathematics, 11th Edition 

 

 

Calculator 

TI‐83/TI‐83 PLUS/ TI‐84 is required. Instruction in class will be based on 

this graphing calculator.  A guide is posted on D2L. Please bring your 

calculator to class everyday. 

 

Grading 

 

Four exams (each 100 points) 

400

74.07%

Quizzes (each 10 points)  

100

18.52%

Attendance, Class participation and worksheets 

40

7.41%

Total 

540

100.00%

  

 

Quizzes and Exams  

A quiz will be given almost every Friday.  Some of the quizzes will be group quizzes. 

Only students who have attended both previous 2 class periods will be allowed to 

work in groups during these quizzes. Tentative dates are listed on the schedule, but 

these may change without warning.   

  

Review solutions from previous homework and previous class’ material to prepare 

for quizzes.  Some of the questions will be similar to the questions from homework.  

There will be absolutely no make‐ups of quizzes.   However, the lowest quiz score 

will be dropped 

  

Make‐up exams will be given only in special circumstances.  Midterm exams can be 

made‐up  for  students  who  notify  me  (with  appropriate  proof)  at  least  two  days 

before the exam of their unavoidable absence. All the quizzes and exams are closed 

book. Calculators are allowed for all exams, however sharing them is not allowed. 

 

Worksheets:  

 

The details of these will be given later. 

 

 

 

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Attendance 

Attendance  is  mandatory.  You  are  responsible  for  all  the  announcements, 

changes, course information, and topics that I cover in class. 

 

Grade 

A  

A/B 

B/C 

Cut off(%) 

90 

85 

80 

75 

70 

60    

<60 

Course Outline: 

 

Chapters 1 and 2: Review of Elementary Functions 

 

Chapter 3:  Mathematics of Finance 

 

Chapter 4:  Systems of Linear Equations 

 

Chapter 5: Linear Programming  

 

Chapter 7:  Logic, Sets and Counting 

 

Chapter 8:  Probability 

 

Chapter 11:  Data Description and Probability Distributions 

 

Here are a few suggestions as you approach this course:  

 

Come to class   

 

Ask questions   

 

Use office hours 

 

 

Donʹt get behind 

 

 

Donʹt get overconfident 

 

 

Turn in homework 

Watching someone else solve problem you have not attempted will do little 

to improve your problem‐solving skills. 

 

 

Have fun! 

 

 

Think!!  

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Tentative Schedule

Date

Material

In class

Homework

W

5-Sep

1-1 Linear Equations and Inequalities

R

6-Sep

1-1 Linear Equations and Inequalities/1-2 graphs and lines

F

7-Sep

1-2 graphs and lines

Quiz1

M

10-Sep

1-3 Linear Regression

W

12-Sep

2-1 Functions

R

13-Sep

2-2 Graphs and Transformations

F

14-Sep

2-3 Quadratic Functions

Quiz2

M

17-Sep

2-3 Quadratic Functions

W

19-Sep

2-4 Exponential Functions.

R

20-Sep

2-5 Logarithmic Functions.

F

21-Sep

2-5 Logarithmic Functions.

Quiz3

M

24-Sep

3-1 Simple Interest.

W

26-Sep

3-2 Compound Interest

R

27-Sep

Review

F

28-Sep

Exam I- Chapters 1 and 2

M

1-Oct

3-3 Future Value of an Annuity; Sinking Funds.

W

3-Oct

3-4 Present Value of an Annuity; Amortization.

R

4-Oct

3-4 Present Value of an Annuity; Amortization.

F

5-Oct

Review

Quiz4

M

8-Oct

4-1 Systems of Linear Equations in Two Variables.

W

10-Oct

4-2 Systems of Linear Equations and Matrices.

R

11-Oct

4-3 Gauss-Jordan Elimination.

F

12-Oct

4-4 Matrices: Basic Operations.

Quiz5

M

15-Oct

4-5 Inverse of a Square Matrix.

W

17-Oct

4-6 Matrix Equations and Systems of Linear Equations.

R

18-Oct

Review

F

19-Oct

Exam II- Chapters 3 and 4

M

22-Oct

5-1 Inequalities in Two Variables.

W

24-Oct

5-2 Systems of Linear Inequalities in Two Variables.

R

25-Oct

5-3 Linear Programming in Two Dimensions

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Date

Material

In class

Homework

F

26-Oct

5-3 Linear Programming in Two Dimensions

Quiz6

M

29-Oct

7-1 Logic.

W

31-Oct

7-2 Sets.

R

1-Nov

7-3 Basic Counting Principles.

F

2-Nov

7-3 Basic Counting Principles.

Quiz7

M

5-Nov

7-4 Permutations and Combinations.

W

7-Nov

7-4 Permutations and Combinations.

R

8-Nov

Review

F

9-Nov

Exam III- Chapters 5 and 7

M

12-Nov

8-1 Sample Spaces, Events, and Probability.

W

14-Nov

8-2 Union, Intersection, and Complement; Odds.

R

15-Nov

8-2 Union, Intersection, and Complement; Odds.

F

16-Nov

8-3 Conditional Probability and Independence.

Quiz8

M

19-Nov

8-3 Conditional Probability and Independence.

W

21-Nov

Thanksgiving

R

22-Nov

Thanksgiving

F

23-Nov

Thanksgiving

M

26-Nov

8-4 Bayes' Formula.

W

28-Nov

8-5 Random Variable, Probability Distribution etc

R

29-Nov

11-1 Graphing Data.

F

30-Nov

11-2 Measures of Central Tendency.

Quiz9

M

3-Dec

11-3 Measures of Dispersion.

W

5-Dec

11-4 Bernoulli Trials and Binomial Distributions.

R

6-Dec

11-4 Bernoulli Trials and Binomial Distributions.

F

7-Dec

11-5 Normal Distributions.

Quiz10

M

10-Dec

11-5 Normal Distributions.

W

12-Dec

Review

R

13-Dec

Exam IV- Chapters 8 and 11

F

14-Dec

Optional Final - Chapters 1-5,7,8,11

References

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