Information Package
baskent.edu.tr

Ph.D. on Industrial Engineering

END624

DECISION THEORY

Course Code
END624
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelDoctorate Of Science
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Understand advanced scientific and mathematical principles and apply them to the practice of multi criteria/objective decision making
  2. Ability to use advanced computer programs as tools for multi criteria/objective decision making applications
  3. Ability to apply the advanced principles of data analysis, and design of a selection problem
  4. Ability to apply the design process to multi objective decision making problems, including the consideration of different technical alternatives while bearing in mind cost, environmental concerns, safety, and other constraints
  5. Ability to analyze, measure, test, and evaluate a selection problem
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionBayesian decision models and decision trees. The value of the information, the theory of utility. Examination of strategies, risk-sharing and decisions. Implementation of decision models.
Course Contents
WEEK TOPICS
1st Week What is the decision making? Alternatives, Criteria.
2nd Week Decision variables and criteria spaces and transformations between them.
3rd Week Fuzzy aritmetics, special fuzzy numbers.
4th Week Solution aproaches to the Fuzzy Multi Criteria Decision Making
5th Week Multi Criteria Decision Making Methods (AHP- TOPSIS-MOORA-VIKOR)
6th Week Fuzzy Multi Criteria Decision Making Methods (AHP-TOPSIS)
7th Week Fuzzy ranking and defuzzification methods
8th Week Midterm
9th Week Goal programming. Linear problems. Geometrical interpretation
10th Week Preemptive goal programming models.
11th Week Fuzzy Multi Objective Decision Making Methods.
12th Week Interactive Fuzzy Multi Objective Programming
13th Week Comprimise programming applications
14th Week Computer aplications.
Recommended or Required Reading1. Chen, S-J, Hwang C-L. Fuzzy Multible Attribute Decision Making-Methods and Applications, Springer-Verlag, 1992
2. Lai, Y-J, Hwang C-L. Fuzzy Multible Objective Decision Making-Methods and Applications, Springer-Verlag, 1996
3. Wayne L. Winston, Operations Research. Applications and Algorithms, Third edition, Duxbury Press, Belmont, California, 1994
4. Ronald R. Rardin (Purdue University), Optimization in Operations Research, Prentice-Hall, Inc., Upper Saddle River, New Jersey, 1998
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Problem Solving
  • Practice
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 3 15
Quiz 4 10
Attendance 1 5
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 4 8 32
Individual or group work 14 10 140
Preparation for Final exam 1 20 20
Course hours 14 3 42
Preparation for Midterm exam 1 20 20
Laboratory (including preparation)
Final exam 1 2 2
Homework 3 14 42
Total Work Load300
Total Work Load / 30 (h)10
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3 LO4 LO5
K1 X X X
K2 X X X X
K3 X X X X X
K4 X X
K5 X X
K6 X
K7
K8 X
K9 X
K10 X X
K11 X X