Course
Syllabus
Instructor
Prof. Dr. Y. Ilker
TOPCU & 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.
Assessment
4 Homework
assignments (25%), 2 Midterm exams (35%), Final exam (40%)
Thresholds
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
Two 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!
Text
Winston W.L. (2004)
Operations Research: Applications and Algorithms, Brooks/Cole Thomson
Learning
References
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.