1. MHY530E DECISION MAKING TECHNIQUES
Prof. Dr. Y. İlker TOPCU
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3. Course information Credits: 3+0 ECTS Credits: 7.5 Type: Elective
Language: English
Web site: web.itu.edu.tr/topcuil/ya/MHY530E

4. Course description Multiple Criteria Decision Making
Structuring the problem (Cognitive Mapping, Fuzzy Cog. Map.)
Constructing the model (Normalization, Prioritiz’n, Conjoint)
Analyzing the problem
Analytic Hierarchy Process / Analytic Network Process
Elementary methods
MAVT, SMARTS, SAW, WP, TOPSIS
Outranking methods (PROMETHEE, ELECTRE)
Group decision making (Social choice)
Decision analysis
Decision tables / payoff matrices
Utility theory
Decision trees

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 support systems relate to decision support
using a range of decision making techniques to improve the effectiveness of their decision making,
finding (choosing, ranking, or classifying) the best 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.
Vincke, Ph., Multi Criteria Decision Aid. John Wiley & Sons, Inc., West Sussex
Web sites of other courses

8. Assessment Criteria Final exam (40%), Midterm exam (30%),
Term project (30%)
Exams will be either “take home” or “open book”

9. Exams
Midterm exam
April 3, Take home
Final exam
At school, Open book

10. Term Project
Structuring, modeling, and analysing a multicriteria managerial decision making problem. 
Business and governmental problems are welcome. Personal problems can not be used for the term project!
Groups will present their projects at the last week.
IMPORTANT DATES
Deadline for 1st submission (proposal): March 6
Deadline for 2nd submission (literature survey): March 20
Deadline for final submission (report): May 8
Presentations: May 8 & May 15

11. 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!

12. Schedule

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

14. 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