(Between the 2013-2019 Academic Years) Course Structure Diagram with Credits

You can access the Curriculum for the 2012-2013 Academic Year (and before) here.

You can access the Curriculum for the 2020-2021 Academic Year (and after) here.

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	Application/Laboratory	Local Credits	ECTS
SFL 1013		Second Foreign Languages I	2	2	3	4
ENG 101		Academic Skills in English I	2	2	3	3
MATH 153		Calculus I	2	2	3	6
CHEM 100		General Chemistry	2	2	3	6
IUE 100		Orientation and Career Planning	1	0	1	2
HIST 100		Principles of Atatürk and History of Revolution	4	0	4	4
SE 113		Introduction to Programming	2	2	3	6
Total						31

1. Year Spring Semester
Code	Pre.	Course Name	Theory	Application/Laboratory	Local Credits	ECTS
MATH 154		Calculus II	2	2	3	6
MATH 250		Linear Algebra for Engineers	3	0	3	6
PHYS 100		General Physics I	2	2	3	6
TURK 100		Turkish	4	0	4	4
ENG 102		Academic Skills in English II	2	2	3	4
SFL 1024		Second Foreign Languages II	2	2	3	4
Total						30

2. Year Fall Semester
Code	Pre.	Course Name	Theory	Application/Laboratory	Local Credits	ECTS
IE 251		Optimization I	2	2	3	6
SFL 201		Second Foreign Languages III	2	2	3	4
POOL 003		GEC-Social Sciences A: Economics	3	0	3	4
POOL 004		GEC- Social Sciences B: Humanities and Social Sciences	3	0	3	5
MATH 240		Probability for Engineers	3	0	3	6
ELEC 001		Elective Course I	3	0	3	5
IE 261		Industrial Information Systems	3	0	3	5
Total						35

2. Year Spring Semester
Code	Pre.	Course Name	Theory	Application/Laboratory	Local Credits	ECTS
IE 252		Optimization II	2	2	3	6
IE 222		Production Systems Analysis	3	0	3	5
SFL 202		Second Foreign Languages IV	2	2	3	4
MATH 236		Engineering Statistics	3	0	3	6
ELEC 002		Elective Course II	3	0	3	4
Total						25

3. Year Fall Semester
Code	Pre.	Course Name	Theory	Application/Laboratory	Local Credits	ECTS
IE 353		Optimization III	2	2	3	8
IE 323		Production Planning,Design and Control	3	0	3	6
ELEC 003		Elective Course III	3	0	3	5
ELEC 004		Elective Course IV	3	0	3	4
IE 334		Statistical Quality Control	2	2	3	7
Total						30

3. Year Spring Semester
Code	Pre.	Course Name	Theory	Application/Laboratory	Local Credits	ECTS
IE 322		Work Systems Analysis and Design	3	0	3	6
IE 324		Fundamentals of Modern Manufacturing Systems	3	0	3	8
ENG 310		Essential Speaking Skills in English	3	0	3	4
ELEC 005		Elective Course V	3	0	3	5
IE 335		Simulation	2	2	3	7
Total						30

4. Year Fall Semester
Code	Pre.	Course Name	Theory	Application/Laboratory	Local Credits	ECTS
ENG 410		English for Career Development	3	0	3	4
POOL 006		GEC- Social Awareness and Ethics	3	0	3	4
ST 304		Summer Training (4 weeks)	0	0	0	4
ELEC 006		Elective Course VI	3	0	3	6
ELEC 007		Elective Course VII	3	0	3	6
FENG 497		Multidisciplinary Engineering Projects	2	2	3	6
Total						30

4. Year Spring Semester
Code	Pre.	Course Name	Theory	Application/Laboratory	Local Credits	ECTS
ELEC 008		Elective Course VIII	3	0	3	5
ELEC 009		Elective Course IX	3	0	3	5
ELEC 010		Elective Course X	3	0	3	5
ELEC 011		Elective Course XI	3	0	3	5
ELEC 012		Elective Course XII	3	0	3	4
FENG 498		Engineering Capstone	2	2	3	6
Total						30

Elective Courses
Code	Pre.	Course Name	Theory	Application/Laboratory	Local Credits	ECTS
CE 304		Operating Systems Security	2	2	3	5
CE 322		Pattern Recognition	3	0	3	5
CE 340		Cryptography and Network Security	3	0	3	5
CE 350		Linux Utilities and Shell Scripting	3	0	3	5
CE 360		Wireless Communications	3	0	3	5
CE 370		Distributed Database Systems	3	0	3	5
CE 380		Computational Geometry	3	0	3	5
CE 390		Analysis of Algorithms	3	0	3	5
CE 401		Algorithms Design	3	0	3	5
CE 403		Computer Architecture and Organization	2	2	3	5
CE 405		Programming for Bioinformatics	3	0	3	5
CE 407		Introduction to Cloud Computing	3	0	3	5
CE 450		Distributed Systems and Parallel Computing	3	0	3	5
CE 470		Introduction to Neural Networks	3	0	3	5
CE 477		Data Science	3	0	3	5
CE 490		Introduction to Digital Image Processing	3	0	3	5
IE 311		Quantitative Production Planning	3	0	3	6
IE 312		Manufacturing Dynamics and Control	3	0	3	6
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 333		Manufacturing Automation	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 339		Queueing Systems	3	0	3	6
IE 341		Introduction to Stochastic Processes	3	0	3	6
IE 342		Decision Theory	3	0	3	5
IE 343		Data Mining	3	0	3	5
IE 344		Cost of Quality	3	0	3	5
IE 345		Innovation in Technology	3	0	3	5
IE 346		Engineering Economics	3	0	3	5
IE 354		Combinatorial Optimization	3	0	3	6
IE 355		Art of Mathematical Modelling	2	2	3	6
IE 356		Mathematical Programming Models in Engineering	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 360		Network Science and Applications	3	0	3	5
IE 361		Game Theory	3	0	3	6
IE 371		Engineering Systems Analysis	3	0	3	6
IE 372		Project Management	3	0	3	5
IE 373		Software Applications in Industry	2	2	3	5
IE 374		Applied Production Systems	2	2	3	5
IE 375		Financial Engineering	3	0	3	5
IE 376		ERP with SAP	3	0	3	5
IE 444		Ethics in Engineering and Computer Sciences	3	0	3	4
MATH 336		Engineering Statistics II	3	0	3	5
SE 302		Principles of Software Engineering	3	0	3	5
SE 307		Concepts of Object-Oriented Programming	2	2	3	7
SE 309		Concepts of Programming Languages	2	2	3	8
SE 310		Advanced C++: Templates and Generic Programming	3	0	3	5
SE 313		Computer Graphics	3	0	3	5
SE 320		Introduction to Computer Games	3	0	3	5
SE 330		Advanced Game Development	3	0	3	5
SE 340		Geographic Information Systems	3	0	3	4
SE 350		Game Design	3	0	3	5
SE 360		Advances in Software Development	3	0	3	5
SE 362		Server-Side Scripting Languages	3	0	3	5
SE 370		Programming Web Services	3	0	3	5
SE 380		Mobile Application Development	3	0	3	5
SE 390		Software Engineering for Mobile Devices	3	0	3	5
SE 420		Artificial Intelligence and Expert Systems	3	0	3	5
SE 431		3D Modeling in Computer Games	3	0	3	5
SE 432		3D Animation in Computer Games	3	0	3	5
SE 460		Software Measurement	3	0	3	5
SE 470		Software Maintenance	3	0	3	5

Restricted Elective Courses
Code	Pre.	Course Name	Theory	Application/Laboratory	Local Credits	ECTS

Additional Notes

In order to graduate, a total of 240 ECTS credit courses must be successfully completed. Students must complete their GED and elective courses, providing a total of 240 ECTS. Otherwise, they will be considered to have not fulfilled the current conditions to graduate from the program.

In the 2018-2019 academic year, the 1st and 2nd year students of the Industrial Engineering Department are required to take 12 elective courses, 8 of which are Technical Elective Courses and 4 of which are Free Electives Courses, in order to graduate.

In the 2018-2019 academic year, the 3rd and 4th year students of the Industrial Engineering Department are required to take 10 elective courses, 6 of which are Technical Elective Courses and 4 of which are Free Elective Courses, in order to graduate.

Technical Elective Courses: It can be chosen from AE, BME, CE, CIVE, EEE, FE, GBE, IE, MCE, ME, SE, MATH, PHYS coded 2 or higher-grade courses, of which at least 4 are IE coded courses.

Free Elective Courses: Excluding GED (General Education) and compulsory second foreign language courses, can be selected from undergraduate-level courses offered by the university and taught in English (free electives can also be selected from technical electives).

Important notes:

It is important to pay attention to the ECTS credits of the Technical or Free elective courses to be taken. The elective course to be taken should not be an elective course with lower credit than the ECTS credits, otherwise, the obligation to take a total of 240 ECTS courses will be violated, and graduation requirements will not be met.
When choosing Technical Electives, Free Electives, or GED courses, the syllabus of the courses to be selected should be examined and it should be checked whether they are the same, similar, or less comprehensive than the courses taken or to be taken in the curriculum. In such cases, the selected courses will not be counted as an elective (Technical Elective, Free Elective, or GED) and will not fulfill any qualifications in the curriculum. In this case, do not choose the courses. For example, if a student who takes or will receive MATH 153 chooses MATH101, MATH102 as an elective, these courses will not be counted towards any graduation requirement. As a second example, if a student taking the SE115 course chooses the SE113 course, it will also not be accepted as a technical or free elective course as it is less comprehensive in terms of content. If a student who takes the CIVE 201 Engineering Mechanics I: Statics course takes the ME 205 Static course, it will not be counted as an elective course. In case of doubt, students can get information from their advisors.

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