At the end of this course, the students; 1) Understand usefulness and limitation of selected Management Science techniques tofind solutions to analytical models. 2) Use selected software to generate computer solutions of the models. 3) Learn, through case studies, the applications of Management Science to findsolutions to real life business problems including those in global environment. 4) Learn not to confuse algorithm with software, and software with technique. 5) Demonstrate skills in communicating the analysis and results of business decisionproblems and to work as a member of a team. 6) Develop analytical skills in structuring and analysis (scientific method) of businessdecision problems which characterize the field of Management Science. 7) Develop awareness of the complimentary nature of the rational and behavioralapproaches to decision making and planning. 8) Use the knowledge gained from this course to continue life-long learning in decisiontechnologies to aid business decision making and planning.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Network models such as PERT/CPM technique; the shortest route, minimal spanning tree, and maximal flow problems are introduced. The nature and the solution methodology of dynamic programming problems are examined. Waiting line models such as single, multiple channel queuing systems, and simulation modeling are the other topics to be covered.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Introduction to the Course
2nd Week
What is the Concept of Management Science?
3rd Week
Network Modeling - 1
4th Week
Network Modeling - 2
5th Week
Project Management - 1
6th Week
Project Management - 2
7th Week
Queueing Modeling - 1
8th Week
Midterm Exam
9th Week
Queueing Modeling - 2
10th Week
Simulation - 1
11th Week
Simulation - 2
12th Week
Computer Applications of Queueing Theory and Simulation
13th Week
Dynamic Programming - 1
14th Week
Dynamic Programming - 2
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. ISBN: 013226806X. EkKaynaklar Introduction to Management Science, 9th Edition, Prentice Hall, 2007, B. Taylor and W. Bernard, ISBN: 0131888099. Introduction to Operations Research 8th Edition, McGraw-Hill, 2005, F.S. Hillier and G.J. Lieberman, ISBN-13 9780073211145. Applied Management Science: Modeling, Spreadsheet Analysis, and Communication for Decision Making, 2nd Edition, John A. Lawrence, Jr. and Barry A. Pasternack, ISBN-13: 9780471391906. YöneylemAraştırması: İşletmecilikUygulamalıbilgisayarDestekliModelleme, 2nd Edition, SiyasalKitabevi, 2007, AydınUlucan, ISBN: 9756325118.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Discussion
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
25
Assignment
4
30
Other
1
10
Total(%)
65
Contribution of In-term Studies to Overall Grade(%)
65
Contribution of Final Examination to Overall Grade(%)
35
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
3
3
Preparation for Quiz
Individual or group work
14
3
42
Preparation for Final exam
1
80
80
Course hours
14
3
42
Preparation for Midterm exam
1
70
70
Laboratory (including preparation)
Final exam
1
3
3
Homework
4
8
32
Project
1
30
30
Total Workload
302
Total Workload / 30
10,06
ECTS Credits of the Course
10
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
