M.SC. in Electrical and Electronics 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
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	7.5
GS 593		Research Design and Methods in Engineering	3	0	3	7.5
Total :						30

1. Year Spring Semester
Code	Pre.	Course Name	Theory	App/Lab	Local Credits	ECTS
ELEC 003		Elective Course III	3	0	3	7.5
ELEC 004		Elective Course IV	3	0	3	7.5
ELEC 005		Elective Course V	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
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 513		Selected Topics in Power Electronics	3	0	3	7.5
EEE 514		Optimization Methods and Applications	3	0	3	7.5
EEE 515		Introduction to Convex Optimization	3	0	3	7.5
EEE 516		Autonomous Robotics and Mobile Sensing	3	0	3	7.5
EEE 517		Deep Learning Methods and Applications	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 527		Principles of Autonomous Vehicle Design	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
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

The students are required to take a total of 120 ECTS in order to complete the master program with thesis.

In order to graduate from the master program with thesis, the students are required to take 5 elective courses in addition to EEE 551-Linear System Theory, GS 593-Research Design and Methods in Engineering, GS 595 - Seminar, and GS 599 - Master Thesis courses.

The students are required to take 5 elective courses.

At least 3 of these courses should be selected from the courses with the code "EEE" in the program's elective course list.
Other remaining elective courses can be selected from courses other than the courses with the code "EEE" in the elective course list or can be choosen from 3 IUE credited courses in other graduate programs with the codes "CE", "IE" and "MATH".
Students may take one elective course (provided that the course has 7,5 ECTS, 3 IUE Credits) from undergraduate level elective courses, unless they took the course during their undergraduate education.

SIGNAL PROCESSING

1.      EEE 501 Applied Digital Image Processing
2.      EEE 503 Introduction to Radar Signal Processing
3.      EEE 504 Wavelets and Filter Banks
4.      EEE 505 Biomedical Signals and Instrumentation
5.      EEE 506 Adaptive Signal Processing
6.      EEE 509 Selected Topics in Signal Processing
7.      EEE 511 Artificial Neural Networks for Signal Processing and Control
8.      EEE 562 Real-Time Signal Processing
9.      EEE 601 Fast Filtering Algorithms
10. EEE 602 Video Processing

CIRCUITS AND SYSTEM THEORY

1.      EEE 512 Optimal Control
2.      EEE 519 Selected Topics in Circuits and Systems
3.      EEE 531 Analog Integrated Circuits
4.      EEE 532 Analog VLSI Design
5.      EEE 533 Digital VLSI Design
6.      EEE 535 Data Converters
7.      EEE 561 Microprocessor Systems
8.      EEE 611 Nonlinear System Analysis

ELECRICAL ENERGY AND POWER SYSTEMS

1.      EEE 504 Wavelets and Filter Banks
2.      EEE 571 Power System Analysis
3.      EEE 572 Power Quality Measurement
4.      EEE 573 Renewable Energy
5.      EEE 579 Selected Topics in Power Systems
6.      EEE 601 Fast Filtering Algorithms

MICROWAVE AND ANTENNAS

1.      EEE 521 Microwave Engineering
2.      EEE 522 RFID Systems
3.      EEE 523 Antenna Engineering
4.      EEE 525 Computational Methods in Electromagnetics
5.      EEE 529 Selected Topics in Electromagnetics and Antennas
6.      EEE 621 Advanced Electromagnetics Theory

COMMUNICATION

1.      EEE 541 Communication Theory
2.      EEE 542 Detection and Estimation Theory
3.      EEE 543 Basics of Wireless Communications
4.      EEE 544 Satellite Communication
5.      EEE 549 Selected Topics in Communications
6.      EEE 652 Stochastic Processes

OTHERS

1.      IES 503 Artificial Intelligence
2.      IES 509 Heuristics
3.      IES 511 Machine Learning
4.      IES 513 Mathematical Programming and Applications
5.      IES 530 Evolutionary Algorithms
6.      IES 534 Nonlinear Programming
7.      IES 538 Nature Inspired Optimization
8. CE 609 Advanced Numerical Analysis
9.      CE 657 Video Coding and Decoding
10. MATH 602 Advanced Linear Algebra and Optimization
11. MATH 655 Fuzzy Set Theory and Applications
12, MATH 663 Biomathematics

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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