This course gives an introduction to the main concepts of operations research by modeling real-world problems and solving them with computational techniques.
Taha, Hamdy A., Operations Research: An Introduction, Eighth Edition, Prentice-Hall International, Inc., 2007.
Other Sources
Hillier, Frederick S. and Lieberman, Gerald J., Introduction to Operations Research, Eighth Edition, McGraw-Hill, 2005.
Winston, Wayne L., Operations Research: Applications and Algorithms, Fourth Edition, Brooks/Cole-Thomson Learning, 2004.
Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction to OR / Linear Programming Model Formulation
Assignment Problem / Minimum Spanning Tree Problem
Oral Presentation
13. Week
Shortest Route Problem / Maximum Flow Problem
Oral Presentation
14. Week
Integer Programming
Oral Presentation
15. Week
Final Exam
16. Week
Final Exam
17. Week
Final Exam
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
20
Quizzes
3
20
Project(s)
1
10
Final Exam
1
50
Program Outcomes
PO-1
Ability to apply theoretical and practical knowledge gained by Mathematics, Science and their engineering fields and ability to use their knowledge in solving complex engineering problems.
PO-2
Ability of determining, defining, formulating and solving complex engineering problems; for that purpose develop the ability of selecting and implementing suitable models and methods of analysis.
PO-3
Ability of designing a complex system, process, device or product under real world constraints and conditions serving certain needs; for this purpose ability of applying modern design techniques
PO-4
Ability of selecting and using the modern techniques and devices which are necessary for analyzing and solving complex problems in engineering implementations; ability of efficient usage of information technologies.
PO-5
Ability of designing experiments, conducting tests, collecting data and analyzing and interpreting the solutions to investigate of complex engineering problems or discipline-specific research topics.
PO-6
Ability of working efficiently in intra-disciplinary and multi-disciplinary teams; individual working ability and habits.
PO-7
Ability of verbal and written communication skills; and at least one foreign language skills, ability to write effective reports and understand written reports, ability to prepare design and production reports, ability to make impressive presentation, ability to give and receive clear and understandable instructions
PO-8
Awareness of importance of lifelong learning; ability to access data, to follow up the recent innovation in science and technology for continuous self-improvement.
PO-9
Conformity to ethical principles; knowledge about occupational and ethical responsibility, and standards used in engineering applications.
PO-10
Knowledge about work life implementations such as project management, risk management and change management; awareness about entrepreneurship and innovativeness; knowledge about sustainable development.
PO-11
Knowledge about effects of engineering applications on health, environment and security in global and social dimensions, and on the problems of the modern age in engineering; awareness about legal outcomes of engineering solutions.
Learning Outcomes
LO-1
Develop the skills to model a problem as a linear programming model
LO-2
Learn problem solution techniques such as graphical solution approach and simplex algorithm, know how to use optimization softwares GAMS and Excel Solver
LO-3
Use primal-dual relationships and examine sensitivity analysis of linear programming
LO-4
Model transportation and assignment problems and solve them using specialized optimization algorithms
LO-5
Model network problems and solve them using specialized algorithms
LO-6
Develop the skills to model a problem as an integer programming model
