1. MBA567E DECISION MAKING Dr. Y. İlker TOPCU
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3. Course information Credits: 3+0 ECTS Credits: 4 Type: Elective
Language: English
Web site: web.itu.edu.tr/topcuil/ya/MBA567E

4. Course description Decision analysis Group decision making
Decision tables / payoff matrices
Decision trees
Group decision making
Voting
Social choice functions
Multiple Criteria Decision Making
Constructing the decision model
Analyzing the problem
Elementary methods
SAW, WP, TOPSIS
Analytic Hierarchy Process
Analytic Network Process

5. Course objectives
to provide students practical techniques and decision support tools those help them to solve decision problems
to enable students to integrate judgments with other types of information in a logical and defensible manner
to improve students’ decision making skills, their ability to analyze problems systematically, and their confidence in their own decision making

6. Course learning outcomes
Students who pass the course gain knowledge, skill and competency in the following subjects:
identifying common errors and traps that prevent them from making effective decisions,
learning how decision making process takes place,
using a range of decision making techniques to improve the effectiveness of their decision making
finding (choosing, ranking, or classifying) the comprimise alternative for making a decision

7. References Web site of the course
Up-to-date lecture notes and supplements
Solutions to exams and homework
Books
Taylor B.W Introduction to Management Science, Pearson Education Inc., New Jersey.
Render B., Stair Jr R.M., and Hanna M.E Quantitative Analysis for Management. Pearson Education Inc., New Jersey.
Goodwin P., Wright G Decision Analysis for Management Judgment, John Wiley & Sons, New York.
Saaty T.L Decision Making for Leaders. RWS Publ., Pittsburg.
Saaty T.L Theory and Applications of the Analytic Network Process. RWS Publ., Pittsburg.
Web sites of other courses

8. Assessment Criteria Final exam (40%), 2 Midterm exams (60%)
All exams will be “open book” or "take home"

9. Exams
Midterm exam 1
May 3, Take home
Midterm exam 2
May 31, Take home

10. Cheating and Plagiarism
Do not!
Studying together to understand the material is fine, but the work you hand in is to be your own.
No cheating will be tolerated: A letter grade of F will be given!

11. Schedule

12. Prof. Dr. Y. İlker Topcu Office address
Management Faculty C301, Maçka, Istanbul
Phone
(212)   /2069 office (532) mobile
Web site
twitter.com/yitopcu
address

13. Professor at Industrial Engineering department of ITU (2011)
Associate Professorship in Operations Research (2005)
Ph.D. in ITU Engineering Management programme (2000)
Integrated decision aid model for multi-attribute problem solving
Ph.D. research at Centre for Decision Research of Leeds University Business School ( )
Research interests
Decision Analysis, Multi Criteria Decision Making, Group Decision Making
Operations Research / Management Science
Logistics Management, Ethics in OR, Business Ethics, Transp’n, Energy, Bidding and Tender Systems, Scheduling