Course Syllabus


Prof. Dr. Y. Ilker TOPCU & Assoc. Prof. Dr. Özgür KABAK

Course description and goals

Learning the methodology and various techniques of operations research and finding optimal solutions to problems: Integer Programming, Multi objective decision making (goal programming), Multi attribute decision making, Non-Linear Programming, Dynamic Programming Problems. Interior point algorithms will be introduced.

We will use the computer software packages GAMS and LINDO as well as OpenSolver ( to solve these models. (Click here for detailed information).


2 Homework assignments (20%), 2 Midterm exams (40%), Final exam (40%)


If you do not complete the following requirements, you will receive a letter grade VF:

One of your midterm exam grades must be more than 30

One of your homework grades must be more than 50

If your final exam grade is less than 30 or if your average grade is less than 40, you will receive a letter grade FF.

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 VF will be given!


Winston W.L. (2004) “Operations Research: Applications and Algorithms”, Brooks/Cole – Thomson Learning


Taha H.A. (2003) "Operations Research: An Introduction", Pearson Education Inc.

Taha H.A. (2000) "Yoneylem Arastirmasi", Literatur Yayincilik (cev. Alp Baray and Sakir Esnaf)

Winston W.L., Albright S.C. (2001) "Practical Management Science", Duxbury Press, Wadsworth Inc.

Render B., Stair R.M. Jr., Hanna M.E. (2003) "Quantitative Analysis for Management", Pearson Education Inc.

Taylor B.W. III (2002) "Introduction to Management Science", Pearson Education Inc

Rardin R.L. (1998) "Optimization in Operations Research", Prentice Hall Inc.

Walker R.C. (1999) "Introduction to Mathematical Programming", Prentice Hall Inc.