The Ph.D. program in Industrial Engineering offers an intensive curriculum that prepares students for a career as a scholar in Industrial Engineering (IE) and Operational Research (OR) who are able to conduct independent research. The program consists of three major components. (1) Completing coursework that advances knowledge in IE & OR (2) Taking the Ph.D. qualifying exam, which tests the students’ fundamental knowledge in the area and their scientific maturity. (3) Preparing a Ph.D. thesis, significant and original research in the area.
|| METU Credit
|| Contact (h/w)
|| Lab (h/w)
|| ECTS Credit
|or IE555||NONLINEAR OPTIMIZATION||3||3||0||8.0|
|IE562||STOCHASTIC PROCESSES II||3||3||0||8.0|
|or IE566||THE DESIGN AND ANALYSIS OF EXPERIMENTS||3||3||0||8.0|
|or IE568||STATISTICAL APPLICATIONS IN ENGINEERING||3||3||0||8.0|
|or OR690||RESEARCH TOPICS IN O.R.||3||3||0||8.0|
|IE691||SEMINAR FOR PH.D. STUDENTS||0||0||2||10.0|
|or OR691||SEMINAR FOR PH.D. STUDENTS||0||0||2||10.0|
|IE746||RESEARCH METHODS AND ETHICS IN INDUSTRIAL ENGINEERING||0||0||0||10.0|
5 elective courses approved by the Department of Industrial Engineering.
Minimum total credit: 24
Minimum number of courses with credit: 8
Deficiency program for students from other disciplines
The deficiency program is customized based on every student's needs. This program includes IE553 LINEAR OPTIMIZATION and IE561 STOCHASTIC PROCESSES I, if the student has not taken these or equivalent courses before.