Prerequisites:   Students  have  learned  the  foundation  of  Advanced Mathematics, Science of Management and Business Statistics.

 After completing the course, students should be able to:

·   Understand the basic theories of quantitative analysis in making decision in management areas.

·   Contrast a variety of quantitative methods used to address business problems.

·   Employ qualitative analysis methods to solve business problems.

·   Synthesize information from multiple disciplines in order to solve business problems

The subject will include the following 6 chapters

1. Introduction and Probability

2. Waiting Line Models

3. Decision Analysis

4. Utility and Game Theory 

5. Linear Programming and Applications in Marketing, Finance and Operations

6. Distribution and Network Models

Brief course description:

Quantitative analysis methods can be applied to problems in all functional areas of business, including accounting, finance, marketing, production, and human resources. This course is intended to enhance a student’s analytical and decision making abilities through the uses of quantitative methods in addressing management decision. Excel skills and knowledge of basic mathematics is necessary in order to understand and apply various quantitative analysis modules introduced in this course to real life scenarios.

Policies apply for Student: Bonus marks could be applied.

Course materials

* Text book: Anderson, R. D., Sweeney, D. J., & Williams, A. T. (2013). Quantitative Methods for Business (12 th ed.). Cengage South Western.

* Reference books:

1. Jon Curwin and Roger Slater, (2013), Quantitative Methods for Business Decisions, 7th edition, Cengage Learning Business Press.

2. Render, Barry, Ralph M. Stair, Jr., & Michael E. Hanna (2003) , Quantitative Analysis for Management, 8th ed., Prentice Hall International, Inc.

3. Bonini, Hausman, & Bierman (1997), Quantitative Analysis for Management, 9th ed., Irwin, The McGraw-Hill Companies, Inc.