TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	Professor İmdat Kara
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Understand scientific and mathematical principles and apply them to the practice of multi criteria decision making 2) Gain an ability to use computer programs as tools for multi criteria decision making applications 3) Gain an ability to apply the basic principles of data analysis, and design of a selection problem 4) Gain an ability to apply the design process to multi criteria decision making problems, including the consideration of different technical alternatives while bearing in mind cost, environmental concerns, safety, and other constraints. 5) Gain an ability to analyze, measure, test, and evaluate a selection problem
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION
COURSE CONTENTS	WEEK TOPICS 1st Week Science, Management, Scientific management, Decision making 2nd Week Decision process, environments, criterions, alternatives, decision models 3rd Week Multi criteria linear programming 4th Week Concept of Pareto Optimality / Trade off curves 5th Week Goal programming 6th Week Solution approaches of goal programming 7th Week Multi criteria linear programming computer applications 8th Week Comprimise programming 9th Week Midterm 10th Week Analytic hierarchy process (AHP) 11th Week Basic principles of AHP, comparisons and setting priorities 12th Week Other approaches for discrete alternatives problems: TOPSIS 13th Week Decision making in risk and uncertainty environments 14th Week Exaamples
RECOMENDED OR REQUIRED READING	Lecture Notes Zeleny, Milan, Multiple Criteria Decision Making, McGraw-Hill Book Comp., New York, 1982. Saaty, Thomas, L., Decision Making for Leaders, RWS Publications, Pittsburgh, 2001. Winston, Wayne L., Operations Research, Duxbury Press, 3rd Edition, 1994
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion,Questions/Answers,Case Study,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 30 Assignment 1 10 Quiz 3 10 Attendance 1 5 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 1 2 2 Preparation for Quiz 1 14 14 Individual or group work 14 13 182 Preparation for Final exam 1 25 25 Course hours 14 3 42 Preparation for Midterm exam 1 25 25 Laboratory (including preparation) Final exam 1 2 2 Homework 1 14 14 Total Workload 306 Total Workload / 30 10,2 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No