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
EEE 551 Linear Systems Theory 3 0 3 7.5
ELEC 001 Elective Course I 3 0 3 7.5
ELEC 002 Elective Course II 3 0 3 5
ELEC 003 Elective Course III 3 0 3 5
ELEC 004 Elective Course IV 3 0 3 5
Total : 30
1. Year Spring Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
EEE 597 Term Project 0 0 0 2.5
ELEC 005 Elective Course V 3 0 3 7.5
ELEC 006 Elective Course VI 3 0 3 5
ELEC 007 Elective Course VII 3 0 3 5
ELEC 008 Elective Course VIII 3 0 3 5
ELEC 009 Elective Course IX 3 0 3 5
Total : 30
Elective Courses
Code Pre. Course Name Theory App/Lab Local Credits ECTS
EEE 501 Applied Digital Image Processing 3 0 3 7.5
EEE 502 Pattern Recognition 3 0 3 7.5
EEE 503 Introduction to Radar Signal Processing 3 0 3 7.5
EEE 504 Bankaları / Wavelets and Filter Banks 3 0 3 7.5
EEE 505 Biomedical Signals and Instrumentations 3 0 3 7.5
EEE 506 Adaptive Signal Processing 3 0 3 7.5
EEE 509 Selected Topics in Signal Processing 3 0 3 7.5
EEE 511 Artificial Neural Networks for Signal Processing and Control 3 0 3 7.5
EEE 512 Optimal Control 3 0 3 7.5
EEE 519 Selected Topics in Circuits and Systems 3 0 3 7.5
EEE 521 Microwaves Engineering 3 0 3 7.5
EEE 522 RF ID systems 3 0 3 7.5
EEE 523 Antenna Engineering 3 0 3 7.5
EEE 525 Computational Electromagnetism 3 0 3 7.5
EEE 529 Selected Topics in Electromagnetics and Antennas 3 0 3 7.5
EEE 531 Analog Integrated Circuits 3 0 3 7.5
EEE 532 Analog VLSI Design 3 0 3 7.5
EEE 533 Digital VLSI Design 3 0 3 7.5
EEE 535 Data Converters 3 0 3 7.5
EEE 536 Communication Electronics 3 0 3 7.5
EEE 541 Communication Theory 3 0 3 7.5
EEE 542 Detection and Estimation Theory 3 0 3 7.5
EEE 543 Basics of Wireless Communications 3 0 3 7.5
EEE 544 Satellite Communication 3 0 3 7.5
EEE 549 Selected topics in wireless communications 3 0 3 7.5
EEE 561 Microprocessor Systems 3 0 3 7.5
EEE 562 Real-Time Signal Processing 3 0 3 7.5
EEE 571 Power System Analysis 3 0 3 7.5
EEE 572 Power Quality Measurement 3 0 3 7.5
EEE 573 Renewable Energy 3 0 3 7.5
EEE 579 Selected Topics in Power Systems 3 0 3 7.5
EEE 601 Fast Filtering Algorithms 3 0 3 7.5
EEE 602 Video Processing 3 0 3 7.5
EEE 611 Nonlinear System Analysis 3 0 3 7.5
EEE 612 Chaos and Fractals 3 0 3 7.5
EEE 621 Advanced Electromagnetic theory 3 0 3 7.5
EEE 652 Stochastic Processes 3 0 3 7.5
ELEC 007 Elective Course VII 0 0 0 0
ELEC 008 Elective Course VIII 0 0 0 0
ELEC 009 Elective Course IX 0 0 0 0
IES 503 Artificial Intelligence 3 0 3 7.5
IES 509 Heuristics 3 0 3 7.5
IES 511 Machine Learning 3 0 3 7.5
IES 513 Mathematical Programming and Applications 3 0 3 7.5
IES 524 Digital Image Processing 3 0 3 7.5
Additional Notes

Tezli Programdan mezun olmak için öğrencilerin 7 adet (1 zorunlu+6 Seçmeli) ders, seminer ve yüksek lisans tezi alması gerekmektedir.

 

 

Öğrenciler 9 adet seçmeli ders almakla yükümlüdürler.

• Bu derslerin en az 4 tanesini programın seçmeli ders listesinde yer alan “EEE” kodlu dersler arasından seçilmelidir.

• Kalan diğer seçmeli derslerini ise seçmeli ders listesinde yer alan “EEE” kodlu dersler dışındaki derslerden veya diğer lisansüstü programların “CE”,” IE” ve “MATH” kodlu 3 İEÜ kredilik dersleri arasından seçebilirler.

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

Curriculum (Before 2013)