7/29/2019 Syllabus QM205 Fall 2013

1/3

Kuwait UniversityCollege of Business Administration

Department of Quantitative Methods and Information Systems

SEMESTER: Fall 2013Course Number: QMIS 205

Course Title: Introduction to Management Science

Prerequisites: English 115

INSTRUCTOR: Dr. Mohammad Askar

Twitter: @DrMAskar

e-mail: askar.cba@gmail.com

Office Hours: TBD

REQUIRED TEXT:

Bernard W. Taylor III. I ntr oduction to Management Science, 11th edition (Global edition),Pearson, 2013.

READING LIST:

A) Recommended Books:

J. Lawrence and B. Pasternack, Applied Management Science: A Computer-Aided Approach for

Decision Making, John Wiley & Sons, 2004.

S. Powell and K. Baker, The Art of Modeling with Spreadsheets: Management Science,

Spreadsheet Engineering, and Modeling Craft, John Wiley & Sons, 2004.

B) Recommended Articles:Operations Research in the eBusiness era, Special Edition, Interfaces, Vol. 31, No. 2, March-April 2001

COURSE OBJECTIVES:

This course is designed to develop a basic understanding and competence in the use of quantitative

methods to modeling and solving managerial problems. The focus is on optimization and modeling

techniques such as linear and integer programming. Spreadsheet modeling (EXCEL) is used for

solving these problems. Throughout the course practical examples are provided and issues faced by

the managers are discussed so that students will have a good grasp of the real world managerial

decision-making environment.

COURSE CONTENT:The broad range of quantitative methods and optimization techniques which have proven to be the

most useful in managerial decision making will be covered with a focus on these techniques:

1. Linear Programming (LP)

2. Solution of Linear programming and Sensitivity Analysis

3. Integer Programming (IP)

4. Transportation, Transshipment and assignment Problems

7/29/2019 Syllabus QM205 Fall 2013

2/3

METHODOLOGY:

The primary method of instruction will be lectures with problems which require formulation and

intensive solution analysis extended by classroom discussions. In addition, a great emphasis will be

on interpretation of the results and their short-term and long-term business implications. When

formulating and solving a problem, special attention will also be given to assumptions made, thelimitations, advantages, and shortcoming of the proposed solution and the feasibility of the solution.

ASSIGNMENTS:

Homework assignments will be given but will not be collected/graded. Some assigned problems will

be solved in the class. However, it is highly recommended that students attempt to solve the

assigned problems since it will help them to better comprehend the material discussed in the lectures.

GRADING:

Grades will be weighted as follows:

Class attendance, Class participation and Subjective evaluation (5%)

Quizzes (25%)Midterm (Monday, 18/11/2013, 5 pm 6:30 pm) (30%)

Final Exam (Saturday, 21/12/2013, 2 pm - 4 pm) (40%)

Final course grades will be based on the intervals shown below.

GRADE A A- B+ B B- C+ C C- D+ D F

% 95-100 90-94 87-89 83-86 80-82 77-79 73-76 70-72 65-69 60-64

7/29/2019 Syllabus QM205 Fall 2013

3/3

CLASS AGENDA

Week Subject/Chapter Topics/Sections/Page Numbers

1, 2

Introduction to

ModelingChapter (1)

Introduction (pp. 20-32; 34 39)

3,4Modeling with Linear

Programming

Chapter (2)

Modeling with Linear Programming(pp. 49-78).

4,5,6

Solving Linearprogramming

Models

Chapter (3)

Computer Solution and Sensitivity Solution:(pp. 91-94; 98-112).

6,7,8

Solving examples ofLinear Programming

ModelsChapter (4)

Linear Programming Applications.(pp.130-133; 135-147; 151-160).

9, 10Integer Linear

Programming ModelsChapter (5)

Integer Programming Models(pp. 203-210; 213-216; 218-227).

11,12

Linear ProgrammingTransportation Models

Chapter (6)

Transportation, Transshipment and assignment Models.

(pp. 252-257; 261-266; 270).