BUS 210 Business Methods (Fall 2009)


1. Dr. Jeff S. Hong
Tel: 212)220-8388 (Email is more effective.)
Email: professor
webpage: http://fly.to/jeffecon 2. Day and Time:
SEC 121 Tue 12:00~12:50 P.M. (S607) & Thu 12:00~1:40 P.M. (N407)

3. Required Texts:
Practical Business Math Procedures, Jeffrey Slater, McGraw-Hill, 2008
Excel Workbook for use with Practical Business Math Procedures, Jeff S. Hong, McGraw-Hill, 2008
(ISBN 978-0-7-327854-4) 4. Office & Office Hours: on Mon 3:00~3:50 P.M., Tue 3:00~3:50 P.M. & Wed 4:00~4:50 P.M. 5. Course Description

A survey of the fundamental quantitative concepts and tools used in the field of business is presented in this course. Topics in the course include present value, compound interest, annuities, amortization, markup and markdown, inventory, depreciation, breakeven analysis, elasticity, graphing, equations, inequalities and certain aspects of linear-programming.

The computational nature of the course naturally lends itself to instruction in a computer-enhanced environment. The various formulations for calculation can be simplified, easily implemented, and best performed in the computer lab. The students learn not only to formulate the problems and run the given model, but also to develop and program their own model to explore new and creative ways to solve the problem.

Students are also encouraged to join the class discussion group set up with Yahoo for lively discussion, collaboration, and exchange of ideas on line. All lecture notes in electronic format, the complete lecture in Excel format, solutions and samples are available at the class discussion group, and these materials can be accessed on line.

6. Course Objective

a To enhance the students�� understanding and appreciation of the rigor and reasoning process of quantitative analysis and modeling
b To develop the students�� skill and expertise in using a quantitative approach in analyzing and solving business problems
c To provide the students with an information base of mathematical operations needed to solve practical business problems related to economic, finance and accounting topics
d To develop the students�� skills and expertise in the use of EDP and quantitative software such as Excel and Mathematica as business tool

7. Student Learning Outcomes

Upon completion of the course, the students should be able to:

a Read and contrast basic statistical and economic data series, charts and graphs;
b Identify, comprehend and analyze the quantitative nature of the business problems in topics such as depreciation, inventory valuation/estimation, breakeven analysis, financial statements, ratio analysis, simple/compound interest/discount, annuities and amortization;
c Logically and mathematically reason out and formulate computer-based models to solve the problems;
d Present the solutions by using an optimal combination of verbal, graphic and numerical techniques;
e Interpret the business and economic problems and issues at large in quantitative terms, and use computer-based modeling as a major tool in solving these problems;

8. Course Outline

Topic 1: Pricing & Purchasing

Topic 2: Banking

Topic 3: Simple Interest & Discount

Topic 4: Compound Interest

Topic 5: Amortization

Topic 6: Financial Statements

Topic 7: Inventory & Overhead

Topic 8: Depreciation (Cost Recovery)

Topic 9: Stocks & Bonds

Topic 10: Taxes & Insurance

Extra Topic: Optimal Pricing Technique

Extra Topic: Optimal Production Level

Extra Topic: Linear Programming &

Extra Topic: Production Theory

Extra Topic: Irrational Ratios: 80's Enron, ZZZZ Best

9. Exam Policy and Grading Criteria
1. Midterm: 30%
2. Final: 30%
3. Homeworks & Quizzes: 30%
4. Attendance: 10%

Attendance & Class Participation
At BMCC the maximum number of absence is limited to one more hour than the number of hours a class meets in one week. For example, if you are enrolled in a 4 hour class that meets 2 times a week, you are allowed 5 hours of absence (not 5 days). In the case of excessive absence, the instructor has the option to lower the grade or assign an "F" or "WU" grade.

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