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The aim of the M.Sc. in Electrical and Electronics Engineering program with academicians who can conduct scientific and technological research and development activities on a universal scale in Electrical and Electronics Engineering is to educate researchers and innovative graduates who will be capable of using existing and emerging technologies to take an effective part in overcoming complex problems in development processes of new products, designs, production methodologies, and services.
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 |
| 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 | |
| ELEC 003 | Elective Course III | 3 | 0 | 3 | 7.5 | |
| Total : | 30 |
| 1. Year Spring Semester | ||||||
| Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
| EEE 595 | Seminar | 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 | |
| ELEC 006 | Elective Course VI | 3 | 0 | 3 | 7.5 | |
| Total : | 30 |
| 2. Year Fall Semester | ||||||
| Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
| EEE 599 | Thesis | 0 | 0 | 0 | 30 | |
| Total : | 30 |
| 2. Year Spring Semester | ||||||
| Code | Pre. | Course Name | Theory | Application/Laboratory | Local Credits | ECTS |
| EEE 599 | Thesis | 0 | 0 | 0 | 30 | |
| Total : | 30 |
| Elective Courses | ||||||
| Code | Pre. | Course Name | Theory | Application/Laboratory | 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 651 | 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 |
| 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 |
The students studying in this second cycle program with thesis are required,
1) to take a minimum of 7 courses with a minimum of 21 local credits, one seminar course, and a thesis. (The seminar and thesis are non-credit and graded on a pass/fail basis.)
2) to succeed in all the courses with a letter grade of at least CC/S
3) to have a Cumulative Grade Point Average of at least 3.00/4.00 with a minimum of 120 ECTS credits.
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