COURSE NUMBER: BUS202

COURSE TITLE: Quantitative Analysis II

PROFESSOR: Umit Akinc, Calloway 221 (x5035)

REQUIRED TEXTS:

1. Levin and Rubin
   Statistics for Management, 7th ed. Prentice Hall 1998.

2. Eppen, Gould ,Schmidt, Moore and Weatherford
   Introductory Management Science, 5th. ed., Prentice Hall 1998.

1. Taylor,
   Introduction to Management Science, 6th Ed. Prentice Hall 1999.

2. Hillier and Lieberman, Introduction to Operations Research 6th ed. McGraw Hil 1995.

This course emphasizes the understanding and application of quantitative tools for data analysis and managerial decision-making. Specific topics include such statistical tools as Chi-Square methods, analysis of variance and regression. Management science tools include statistical decision theory and deterministic optimization models such as linear programming and its various extensions. Application of these methods to the analysis of decisions from various functional areas of business is an important component of the course.

OBJECTIVES:

1. To develop a conceptual understanding of statistical inference making and management science techniques including model building, solution and interpretation of results.
2. To review a variety of applications to enable the student to assess the potential and limitations of these techniques in the analysis of data and decision making in various functional areas of business.
3. To achieve requisite computer skills in the use of these techniques in parctice.

FORMAT:

The primary format of the course will be problem solving. This implies that you will have to take a very active part in the learning process. It is essential that you read the material carefully, attend all classes both physically and mentally.

There will be numerous problem sets that you will work on in groups of three and turn in your solutions as a group. We will review some of these problems and their solutions in class.

COMPUTER CONTENT:

One of the main purposes of the course will be to achieve some proficiency in commonly used computer software for performing statistical analyses and solving linear programs and related problems. In particular, we will use Excel and its extensive specialized statistical and optimization capabilities for linear and related programs. Furthermore, your text (Eppen et. al.) comes with a CD-ROM containing additional computational tools, various spreadsheets and ScreenCam based tutorials. Before the end of the semester you will have to pass a pass/fail test to demonstrate minimal skills in the use of EXCEL in regards to the topics covered in the course

Your semester grade will be based on three in-semester and one final test. Each test will cover approximately one fourth of the total material and count 22% each. The assignments to be turned in will constitute the remaining 12%, of which 2% will pertain to the evaluation of your effort by the other members of your group.