At the end of this course, the students; 1) Have the infrastructure to distinguish and formulate the most suitable model for a certain decision situation. 2) Recognize solution methods and special software that can be used to solve models.
3) Gain the ability to analyze and interpret the results obtained in order to be able to suggest appropriate action styles in the face of various problems. 4) Acquire analytical approach to different decision situations and interpretation of results obtained using various quantitative techniques 5) Acquire an analytical approach to different decision situations and interpretation of results obtained using various quantitative techniques. 6) Develop analytical skills for structuring and analyzing business decision problems that represent the field of Management Science.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
MAN358
COURSE DEFINITION
The emergence and scope of Management Science, the importance of numerical decision techniques in the field of business administration, and their usage areas will be emphasized. Linear programming models will be introduced, formulation, solution techniques, sensitivity analysis will be examined. Then, Assignment, Transportation and Integer Programming models, which are special types of linear programming; Decision Theory; Network Models; Project Planning Techniques (PERT/CPM) and Waiting Line models and Simulation will be covered. Students taking this course should be able to decide which numerical method is suitable for obtaining the optimal solution to a certain business problem, use the appropriate technique, and interpret the solution they have obtained. In order to equip students with this equipment, a large number of decision problems related to different functions of the enterprise will be studied.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Linear Programming: Model Formulation
2nd Week
Linear Programming: Graphical Solution
3rd Week
Linear Programming:Sensitivity Analysis of Objective Function Values
4th Week
Linear Programming Computer Applications
5th Week
Transportation Problem
6th Week
Assignment Problem
7th Week
Integer Linear Programming
8th Week
Midterm Exam
9th Week
Decision Analysis
10th Week
Network Modeling
11th Week
Project Management
12th Week
Queueing Modeling
13th Week
Simulation
14th Week
Computer Applications of Queueing Theory and Simulation
RECOMENDED OR REQUIRED READING
Balakrishnan, N., B. Render, and R. M. Stair Jr. 2007. Managerial Decision Modeling with Spreadsheets. Upper Saddle River, New Jersey: Prentice-Hall, Incorporated. Taylor, Bernard W. 2001. Introduction to Management Science 7th Ed., Prentice Hall. Hillier, F.S., Lieberman, G.J. 1995. Introduction to Operations Research 6th Ed., McGraw-Hill. Acar, A. 1998. Linear Programming For Managerial Decisions 3rd Ed., METU. Anderson, D. R., D. J. Sweeney ve T. W. Williams. 2000. In Introduction to Management Science: Quantitative Approaches to Decision Making. South Western Collage Publishing. Winston, W. L. 1994. Operations Research: Applications and Algorithms 3rd Ed. Duxbury Press. Lawrence, Jr. J.A and B.A Posternock, 1998. Applied Management Science A Computer Integrated Approach for Decision Making, John Wiley and Sons, New York.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Problem Solving,Lecture
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
30
Quiz
1
25
Total(%)
55
Contribution of In-term Studies to Overall Grade(%)
55
Contribution of Final Examination to Overall Grade(%)
45
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
14
3
42
Preparation for Quiz
1
3
3
Individual or group work
1
3
3
Preparation for Final exam
1
4
4
Course hours
14
3
42
Preparation for Midterm exam
1
25
25
Laboratory (including preparation)
Final exam
1
30
30
Homework
Total Workload
149
Total Workload / 30
4,96
ECTS Credits of the Course
5
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
