Information Package
baskent.edu.tr

Master's of Industrial Engineering with Thesis

END531

METHODOLOGY OF OPERATIONS RESEARCH

Course Code
END531
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Develop and apply models to assist managers and decision-makers in solving organizational problems
  2. Know the basics of linear programming,
  3. Explain the solution methods of linear programming models,
  4. Use linear programming softwares and analyze the results.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course Description
Course Contents
WEEK TOPICS
1st Week Methods of Operations Research
2nd Week Examples for Linear Programming
3rd Week The Generic Form of a Linear Program and Basic Definitions
4th Week The Basics of Linear Programming and Solution Approaches
5th Week The Basics of the Simplex Algorithm
6th Week The Operations of the Simplex Algorithm
7th Week Big M ve Two Phase Simplex Algorithms
8th Week Duality in Linear Programming
9th Week Midterm Exam
10th Week Dual Simplex Algorithm
11th Week Sensitivity Analysis
12th Week Transportation Models
13th Week Sensitivity in Transportation Models
14th Week Assignment Models
Recommended or Required Reading1.Bazaraa M.S., Jarvis J.J., Sherali H.D., 1990, Linear Programming and Network Flows 2nd ed., John Wiley & Sons, 684 p.
2.Hillier F.S., Lieberman G.J., 2001, Introduction to Operations Research (7th ed.), Mc Graw-Hill, 1240 p.
3.Castillo E., Conejo A.J., Pedregal P., Garcia R., Alguacil N., 2002, Building and Solving Mathematical Programming Models in Engineering and Science, Wiley, 546 p.
4.An Introduction to Management Science, 9th ed., D. R. Anderson, D. J. Sweeney, and T.A. Williams, South-Western College Publishing, 2000.
Planned Learning Activities and Teaching Methods
  • Presentation
  • Problem Solving
  • Lecture
  • Discussion
  • Questions/Answers
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Project 1 30
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
Individual or group work 14 14 196
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 Work Load306
Total Work Load / 30 (h)10.2
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

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