GRADUATE SCHOOL

M.SC. In Industrial Engineering (With Thesis)

Course Structure Diagram with Credits

To see the course details (such as objectives, learning outcomes, content, assessment and ECTS workload), click the relevant Course Code given in the table below.

1. Year Fall Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
ELEC 001 Elective Course I 3 0 3 7.5
GS 593 Research Design and Methods in Engineering 3 0 3 7.5
IE 502 Probabilistic Systems Analysis 3 0 3 7.5
IE 513 Mathematical Programming and Applications 3 0 3 7.5
Total : 30
1. Year Spring Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
ELEC 002 Elective Course II 3 0 3 7.5
ELEC 003 Elective Course III 3 0 3 7.5
ELEC 004 Elective Course IV 3 0 3 7.5
GS 595 Seminar 0 0 0 7.5
Total : 30
2. Year Fall Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
GS 599 Master Thesis 0 0 0 30
Total : 30
2. Year Spring Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
GS 599 Master Thesis 0 0 0 30
Total : 30
Elective Courses
Code Pre. Course Name Theory App/Lab Local Credits ECTS
CE 533 Artificial Intelligence 3 0 3 7.5
CE 536 Human-Computer Interaction 3 0 3 7.5
CE 601 Advanced Algorithms 3 0 3 7.5
CE 609 Advanced Numerical Analysis 3 0 3 7.5
EEE 511 Artificial Neural Networks for Signal Processing and Control 3 0 3 7.5
IE 501 Mathematics for Operations Research 3 0 3 7.5
IE 508 System Simulation and Modeling 3 0 3 7.5
IE 509 Heuristics 3 0 3 7.5
IE 510 Discrete Optimization 3 0 3 7.5
IE 512 Manufacturing Systems Analysis 3 0 3 7.5
IE 515 Multi Objective Optimization 3 0 3 7.5
IE 520 Constraint Programming 3 0 3 7.5
IE 530 Evolutionary Algorithms 3 0 3 7.5
IE 531 Advanced Production Systems 3 0 3 7.5
IE 532 Advanced Scheduling Systems 3 0 3 7.5
IE 534 Nonlinear Programming 3 0 3 7.5
IE 535 Advanced Network Optimization 3 0 3 7.5
IE 540 Applied Stochastic Processes 3 0 3 7.5
IE 544 Experimental Design in Engineering 3 0 3 7.5
IE 570 Supply Chains Processes and Management 3 0 3 7.5
IE 590 Advanced Topics in IE and OR 3 0 3 7.5
LOG 511 Design and Analysis of Logistics Systems 3 0 3 7.5
LOG 518 Logistics and Supply Chain Management 3 0 3 7.5
LOG 520 Global Logistics Management 3 0 3 7.5
MATH 602 Advanced Linear Algebra and Optimization 3 0 3 7.5
MATH 658 Advanced Data Analysis 3 0 3 7.5
MATH 659 Graph Theory 3 0 3 7.5
MATH 671 Fuzzy Optimization 3 0 3 7.5
STAT 553 Reliability 3 0 3 7.5
STAT 554 Statistical Process Control 3 0 3 7.5
STAT 557 Time Series Analysis 3 0 3 7.5
STAT 563 Statistical Decision Theory 3 0 3 7.5
Additional Notes

If you need support for these courses due to your disability, please refer to Disability Support Unit. Contact; engelsiz@ieu.edu.tr

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