Department of Computer 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
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
SE 115		Introduction to Programming 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
CE 112		Introduction to Computer Engineering	3	0	3	4
ENG 102		Academic Skills in English II	2	2	3	4
MATH 154		Calculus II	2	2	3	6
PHYS 102		General Physics II	2	2	3	6
SE 116		Introduction to Programming II	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
CE 215		Discrete Mathematics for Computer Science	3	0	3	6
CE 221		Data Structures and Algorithms I	3	2	4	7
EEE 215		Introduction to Electrical Circuits and Electronics for Computer Engineers	3	2	4	7
MATH 240		Probability for Engineers	3	0	3	6
SFL 201		Second Foreign Languages III	2	2	3	4
Total :						30

2. Year Spring Semester
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
CE 216		Fundamental Topics in Programming	2	2	3	6
CE 223		Database Systems	3	2	4	7
ENG 210		Technical English for Engineers	3	0	3	4
MATH 207		Introduction to Differential Equations I	2	2	3	5
SFL 202		Second Foreign Languages IV	2	2	3	4
TURK 100		Turkish	4	0	4	4
Total :						30

3. Year Fall Semester
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
CE 315		Automata Theory and Formal Languages	3	2	4	7
CE 323		Operating System Concepts	3	2	4	7
EEE 242		Digital Design	2	2	3	5
MATH 250		Linear Algebra for Engineers	3	0	3	6
SE 302		Principles of Software Engineering	3	0	3	5
Total :						30

3. Year Spring Semester
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
CE 316		Programming Paradigms	2	2	3	5
CE 326		Computer Networks	2	2	3	6
CE 346		Computer Architecture and Organization	3	0	3	6
FENG 345		Numerical Methods for Engineers I	2	2	3	7
MATH 236		Engineering Statistics	3	0	3	6
Total :						30

4. Year Fall Semester
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
CEST 400		Engineering Summer Training (4 weeks)	0	0	0	5
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
TMD 001		Complementary Engineering Courses	3	0	3	4
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
FENG 498		Engineering Capstone	0	6	3	6
HIST 100		Principles of Atatürk and History of Revolution	4	0	4	4
TMD 002		Complementary Engineering Courses	3	0	3	5
Total :						30

Elective Courses
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
CE 304		Operating Systems Security	2	2	3	5
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 342		Fundamentals of Microprocessors	2	2	3	6
CE 344		Advanced Machine Learning	3	0	3	5
CE 345		Introduction to Machine Learning	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 395		Special Topics in Machine Learning	3	0	3	5
CE 401		Algorithms Design	3	0	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 455		Deep Neural Networks	3	0	3	5
CE 462		Intoduction to Sparse Representations	3	0	3	5
CE 466		Computer Vision	3	0	3	5
CE 470		Introduction to Neural Networks	3	0	3	5
CE 475		Fundamentals and Applications of Machine Learning	2	2	3	7
CE 476		Music and Computers	3	0	3	5
CE 477		Data Science	3	0	3	5
CE 485		Linear and Integer Programming	3	0	3	8
CE 490		Introduction to Digital Image Processing	3	0	3	5
EEE 461		Embedded System Design	2	2	3	6
IE 342		Decision Theory	3	0	3	5
IE 346		Engineering Economics	3	0	3	5
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
MCE 412		Autonomous Robotics	2	2	3	6
MCE 420		Automation and Industry 4.0	2	2	3	6
SE 204		Human-Computer Interaction	3	0	3	5
SE 306		Database Management Systems	2	2	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 311		Software Architecture	2	2	3	7
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 344		Software Testing	3	0	3	5
SE 350		Game Design	3	0	3	5
SE 352		Network Programming in Computer Games	3	0	3	5
SE 354		Artificial Intelligence in Computer Games	3	0	3	5
SE 355		Mobile Game Development	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 410		Software Framework Applications	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
SE 480		Client Side Scripting Languages	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

You can access the curriculum for students who started their education between 2013 and 2019 here.

You can access the curriculum for students who started their education between 2020 and 2024 here.

A total of 240 ECTS credits of courses are required to graduate. The Computer Engineering students must complete the Complementary Engineering Courses (called TMD in the curriculum, short for "Tamamlayıcı Mühendislik Dersleri") and the elective courses to provide a total of 240 ECTS credits. Otherwise they will not be deemed to fulfill the conditions to graduate from the program.

Important Information about the Elective Courses

The students of Computer Engineering department must take 6 technical elective courses to graduate.
These courses must be selected from the Technical Elective Courses list. Courses that are not in this list cannot be accepted as electives.
ECTS credits of elective courses should be equal or greater than the credits specified in the curriculum.

Important Explanations Regarding TMD (Complementary Engineering Course) Courses: Computer Engineering Department students are required to take 2 TMD (Complementary Engineering Courses) in order to graduate.

* The Computer Engineering students must ensure that while selecting a new technical or free elective course, it should not be the same, similar or less comprehensive as any course you have previously taken in your curriculum or any compulsory course in your curriculum that you have not taken yet. In this case, the courses you have taken will not be counted as any elective courses (technical or free elective) and will not fulfill any qualifications in the curriculum. Please, do not select courses that in this case. For example, a student who takes MATH 153 or has MATH 153 in his curriculum cannot take MATH 101 from the Mathematics department and cannot count as an elective even if he has taken it.

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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