Department of Industrial Engineering

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
CHEM 100		General Chemistry	2	2	3	6
ENG 101		Academic Skills in English I	2	2	3	3
FENG 101		Fundamentals of Engineering Culture	2	0	2	4
IUE 100		Orientation and Career Planning	1	0	1	2
MATH 153		Calculus I	2	2	3	6
PHYS 100		General Physics I	2	2	3	6
SFL 1013		Second Foreign Languages I	2	2	3	3
Total :						30

1. Year Spring Semester
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
ENG 102		Academic Skills in English II	2	2	3	4
IE 102		Introduction to Industrial Engineering	3	0	3	4
MATH 154		Calculus II	2	2	3	6
MATH 250		Linear Algebra for Engineers	3	0	3	6
SE 113		Introduction to Programming	2	2	3	6
SFL 1024		Second Foreign Languages II	2	2	3	4
Total :						30

2. Year Fall Semester
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
IE 215		Engineering Economics	3	0	3	5
IE 251		Optimization I	2	2	3	6
MATH 207		Introduction to Differential Equations I	2	2	3	5
MATH 240		Probability for Engineers	3	0	3	6
SFL 201		Second Foreign Languages III	2	2	3	4
TURK 100		Turkish	4	0	4	4
Total :						30

2. Year Spring Semester
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
ENG 210		Technical English for Engineers	3	0	3	4
IE 213		Computational Thinking for Operations Research	3	0	3	5
IE 222		Production Systems Analysis	3	0	3	5
IE 252		Optimization II	2	2	3	6
MATH 236		Engineering Statistics	3	0	3	6
SFL 202		Second Foreign Languages IV	2	2	3	4
Total :						30

3. Year Fall Semester
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
IE 261		Industrial Information Systems	3	0	3	5
IE 321		Dynamic and Nonlinear Programming	2	2	3	6
IE 322		Work Systems Analysis and Design	3	0	3	6
IE 323		Production Planning,Design and Control	3	0	3	6
IE 334		Statistical Quality Control	2	2	3	7
Total :						30

3. Year Spring Semester
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
FENG 345		Numerical Methods for Engineers I	2	2	3	7
IE 316		Manufacturing Systems	3	0	3	6
IE 335		Simulation	2	2	3	7
IE 336		Advanced Statistics for Industrial Engineering	3	0	3	6
TMD 001		Complementary Engineering Courses	3	0	3	4
Total :						30

4. Year Fall Semester
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
ELEC 001		Elective Course I	3	0	3	5
ELEC 002		Elective Course II	3	0	3	5
ELEC 003		Elective Course III	3	0	3	5
FENG 497		Multidisciplinary Engineering Projects	2	2	3	6
HIST 100		Principles of Atatürk and History of Revolution	4	0	4	4
IEST 400		Engineering Summer Training (4 weeks)	0	0	0	5
Total :						30

4. Year Spring Semester
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
ELEC 004		Elective Course IV	3	0	3	5
ELEC 005		Elective Course V	3	0	3	5
ELEC 006		Elective Course VI	3	0	3	5
ELEC 007		Elective Course VII	3	0	3	5
FENG 498		Engineering Capstone	0	6	3	6
TMD 002		Complementary Engineering Courses	3	0	3	4
Total :						30

Elective Courses
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
CE 320		Application Development with MATLAB	3	0	3	5
CE 322		Pattern Recognition	3	0	3	5
CE 340		Cryptography and Network Security	3	0	3	5
CE 344		Advanced Machine Learning	3	0	3	5
CE 345		Introduction to Machine Learning	3	0	3	5
CE 370		Distributed Database Systems	3	0	3	5
CE 390		Analysis of Algorithms	3	0	3	5
CE 395		Special Topics in Machine Learning	3	0	3	5
CE 401		Algorithms Design	3	0	3	5
CE 403		Computer Architecture and Organization	2	2	3	5
CE 455		Deep Neural Networks	3	0	3	5
CE 470		Introduction to Neural Networks	3	0	3	5
CE 477		Data Science	3	0	3	5
CIVE 209		Technical Drawing	2	2	3	4
IE 313		Human Factors Engineering	3	0	3	5
IE 314		Facility Planning	3	0	3	5
IE 315		Sequencing and Scheduling	3	0	3	6
IE 325		Modeling and Analysis of Supply Chains	3	0	3	5
IE 326		Inventory Planning	3	0	3	6
IE 327		Special Topics in Production Management	3	0	3	6
IE 328		Production and Service Systems Management	3	0	3	5
IE 329		Lean Production	3	0	3	5
IE 337		Industrial Applications of Simulations	2	2	3	6
IE 338		Stochastic Models in Manufacturing Systems	3	0	3	6
IE 342		Decision Theory	3	0	3	5
IE 343		Data Mining	3	0	3	5
IE 355		Art of Mathematical Modelling	2	2	3	6
IE 357		Special Topics in Optimization	3	0	3	6
IE 358		Heuristics in Optimization	3	0	3	6
IE 359		Network Optimization	3	0	3	6
IE 361		Game Theory	3	0	3	6
IE 373		Software Applications in Industry	2	2	3	5
IE 375		Financial Engineering	3	0	3	5
IE 376		ERP with SAP	3	0	3	5
ME 202		Materials Science	2	2	3	5
ME 203		Engineering Drawing	1	4	3	5
ME 313		Measurement Systems	2	2	3	5
SE 204		Human-Computer Interaction	3	0	3	5
SE 370		Programming Web Services	3	0	3	5
SE 420		Artificial Intelligence and Expert Systems	3	0	3	5
SE 482		E-Business: Administration, Security and Marketing	3	0	3	5

Complementary Engineering Courses
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
FENG 310		Environmental Impact Analysis and Life Cycle Assessment	3	0	3	5
FENG 320		Research Methods in Engineering	3	0	3	5
FENG 372		Project Management	3	0	3	5

Additional Notes

Access to the 2013-2019 Curriculum is available here.

Access to the 2020-2024 Curriculum is available here.

A total of 240 ECTS credits is required for graduation. Students within the Department of Industrial Engineering must complete both the TMD and elective courses to accumulate the requisite 240 ECTS credits. Failure to do so will result in the student not meeting the established graduation requirements.

Important Notes Regarding Elective Courses:

Students enrolled in the Department of Industrial Engineering are required to complete seven elective courses to qualify for graduation. These courses must be selected from the Technical Elective Courses List. Courses not included on this list will not be recognized as technical electives.

Important Notes Regarding TMD (Supplementary Engineering Courses):

Students in the Department of Industrial Engineering are required to complete two TMD (Supplementary Engineering Courses) in order to graduate.

When selecting technical or free elective courses, students should consider whether the new course they are choosing is the same, similar, or less comprehensive in content than a course they have previously completed or a required course within their curriculum that they have yet to undertake. In such instances, the courses will not count as electives (either free or technical) and will not fulfill any curriculum competencies. Therefore, students should refrain from selecting courses under these circumstances. For example, a student who has completed MATH 153 or whose curriculum mandates MATH 153 may not enroll in MATH 101 from the Mathematics department; even if they have already taken it, it will not be credited as an elective.

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