Curriculum (PhD)

Ph.D. in Electronics and Communication Engineering

Course Code            Course Name                                                                                Credit        ECTS

EE 598

Research Seminar*

(0-2) NC

9

EE 600

Ph.D. Thesis

(0-1) NC

26

EE 8XX

EE 698

EE 590

Special Studies

Research Seminar For PhD.

Scientific Research Methods And Ethics For Engineers**

(8-0) NC

(0-2) NC

(0-2) NC

4

9

5

* This course must be taken by Ph.D students accepted with B.S. degree until the end of their 6th semester.

** This course is not obligatory under the condition that it is taken during master studies.

In addition to the common core courses, students enrolled in the program must choose a research area and take the research area core courses. For each core course or its equivalent taken in a previous study, one additional course is required. The research area courses for each area are given in the following lists.

Area 1:            Intelligent Systems and Control

EE 502

Linear Systems Theory

(3-0) 3

9

EE 531

Probability and Random Processes

(3-0) 3

9

EE 532

Stochastic Analysis and Estimation for Dynamical Systems

(3-0) 3

9

EE 533

Digital Signal Processing

(3-0) 3

9

EE 534

Advanced Digital Signal Processing

(3-0) 3

9

EE 538

Detection and Estimation Theory

(3-0) 3

9

EE 543

Artificial Neural Systems

(3-0) 3

9

EE 546

Pattern Recognition

(3-0) 3

9

EE 547

Computer Vision

(3-0) 3

9

EE 556

Nonlinear Systems Analysis

(3-0) 3

9

EE 559

Nonlinear Control Design

(3-0) 3

9

EE 560

Robot Manipulator Control

(3-0) 3

9

EE 561

Advanced Robot Kinematics

(3-0) 3

9

EE 502 and EE 556 are the research area core courses in Area 1.

Area 2:            Signal Processing

EE 531

Probability and Random Processes

(3-0) 3

9

EE 532

Stochastic Analysis and Estimation for Dynamical Systems

(3-0) 3

9

EE 533

Digital Signal Processing

(3-0) 3

9

EE 534

Advanced Digital Signal Processing

(3-0) 3

9

EE 535

Adaptive Filter Theory

(3-0) 3

9

EE 536

Speech Processing I

(3-0) 3

9

EE 537

Speech Processing II

(3-0) 3

9

EE 538

Detection and Estimation Theory

(3-0) 3

9

EE 539

Audio Signal Processing

(3-0) 3

9

EE 540

Wavelet Theory Multiresolution Signal Analysis

(3-0) 3

9

EE 541

Speech Synthesis

(3-0) 3

9

EE 542

Multidimensional Signal Processing

(3-0) 3

9

EE 545

Image Processing

(3-0) 3

9

EE 546

Pattern Recognition

(3-0) 3

9

EE 547

Computer Vision

(3-0) 3

9

EE 548

Medical Imaging Systems and Applications

(3-0) 3

9

EE 549

Biomedical Image Analysis

(3-0) 3

9

EE 550

Computational Biology

(3-0) 3

9

EE 565

Biomedical Instrumentation

(3-0) 3

9

EE 531 and EE 533 are the research area core courses in Area 2.

 

Area 3:            Communication Systems

EE 505

Communication Network Analysis

(3-0) 3

9

EE 531

Probability and Random Processes

(3-0) 3

9

EE 532

Stochastic Analysis and Estimation for Dynamical Systems

(3-0) 3

9

EE 533

Digital Signal Processing

(3-0) 3

9

EE 534

Advanced Digital Signal Processing

(3-0) 3

9

EE 535

Adaptive Filter Theory

(3-0) 3

9

EE 538

Detection and Estimation Theory

(3-0) 3

9

EE 544

Information Theory and Coding

(3-0) 3

9

EE 551

Digital Communications I

(3-0) 3

9

EE 552

Digital Communications II

(3-0) 3

9

EE 553

Error Control Coding

(3-0) 3

9

EE 554

Wireless Communications

(3-0) 3

9

EE 555

Computer Communication Networks

(3-0) 3

9

EE 557

Multiple Antenna Techniques in Wireless Communications

(3-0) 3

9

EE 558

Advanced Wireless Communication

(3-0) 3

9

EE 562

Telecommunication Circuits

(3-0) 3

9

EE 564

Bio-Inspired Multi-Scale Communications

(3-0) 3

9

EE 531 and EE 551 are the research area core courses in Area 3.

Area 4:            Electromagnetics, Microwave, Photonics and Optical Communications

EE 510

Photonics

(3-0) 3

9

EE 511

Introduction to Optical Fiber Communications

(3-0) 3

9

EE 512

Advanced Optical Fiber Concepts

(3-0) 3

9

EE 513

Optical Fiber Sensors

(3-0) 3

9

EE 515

Optoelectronics

(3-0) 3

9

EE 516

Fourier Optics

(3-0) 3

9

EE 521

Advanced Electromagnetic Theory I

(3-0) 3

9

EE 522

Numerical Methods for Electromagnetics

(3-0) 3

9

EE 523

Antenna Theory

(3-0) 3

9

EE 524

Microwave Devices and Applications

(3-0) 3

9

EE 525

Asymptotic Techniques in Electromagnetic

(3-0) 3

9

EE 526

Advanced Electromagnetic Theory II

(3-0) 3

9

EE 527

Microwave Measurement Techniques

(3-0) 3

9

 

EE 510 and EE 521 are the research area core courses in Area 4.

Students enrolled in the program must take one course from any of the other research areas.

Student enrolled in the program must take one course from the Mathematical Foundations Course List. If EE 502 is taken as a research area core course, one additional course is required from that list.

The course work can be completed by taking the courses in the EE Course List or any engineering and science departments.

Total credit (min.) 21 (for students with MS degree)
Number of courses with credit (min.)   7 (for students with MS degree)
Total credit (min.) 42 (for students with B.S. degree)
Number of courses with credit (min.) 14 (for students with B.S. degree)