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 502Linear Systems Theory(3-0) 39
EE 531Probability and Random Processes(3-0) 39
EE 532Stochastic Analysis and Estimation for Dynamical Systems(3-0) 39
EE 533Digital Signal Processing(3-0) 39
EE 534Advanced Digital Signal Processing(3-0) 39
EE 538Detection and Estimation Theory(3-0) 39
EE 543Artificial Neural Systems(3-0) 39
EE 546Pattern Recognition(3-0) 39
EE 547Computer Vision(3-0) 39
EE 556Nonlinear Systems Analysis(3-0) 39
EE 559Nonlinear Control Design(3-0) 39
EE 560Robot Manipulator Control(3-0) 39
EE 561Advanced Robot Kinematics(3-0) 39
EE 571Introduction to Microelectromechanical Systems (MEMS)(3-0) 39

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

Area 2:            Signal Processing

EE 531Probability and Random Processes(3-0) 39
EE 532Stochastic Analysis and Estimation for Dynamical Systems(3-0) 39
EE 533Digital Signal Processing(3-0) 39
EE 534Advanced Digital Signal Processing(3-0) 39
EE 535Adaptive Filter Theory(3-0) 39
EE 536Speech Processing I(3-0) 39
EE 537Speech Processing II(3-0) 39
EE 538Detection and Estimation Theory(3-0) 39
EE 539Audio Signal Processing(3-0) 39
EE 540Wavelet Theory Multiresolution Signal Analysis(3-0) 39
EE 541Speech Synthesis(3-0) 39
EE 542Multidimensional Signal Processing(3-0) 39
EE 545Image Processing(3-0) 39
EE 546Pattern Recognition(3-0) 39
EE 547Computer Vision(3-0) 39
EE 548Medical Imaging Systems and Applications(3-0) 39
EE 549Biomedical Image Analysis(3-0) 39
EE 550Computational Biology(3-0) 39
EE 565Biomedical Instrumentation(3-0) 39
EE 566Introduction to Nanotechnology and Applications(3-0) 39
EE 567Biosensors and Point-of-Care Diagnostics(3-0) 39
EE 571Introduction to Microelectromechanical Systems (MEMS)(3-0) 39
EE 572Instrumentation in Nanoscience and Nanotechnology(3-0) 39

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

Area 3:            Communication Systems

EE 505Communication Network Analysis(3-0) 39
EE 531Probability and Random Processes(3-0) 39
EE 532Stochastic Analysis and Estimation for Dynamical Systems(3-0) 39
EE 533Digital Signal Processing(3-0) 39
EE 534Advanced Digital Signal Processing(3-0) 39
EE 535Adaptive Filter Theory(3-0) 39
EE 538Detection and Estimation Theory(3-0) 39
EE 544Information Theory and Coding(3-0) 39
EE 551Digital Communications I(3-0) 39
EE 552Digital Communications II(3-0) 39
EE 553Error Control Coding(3-0) 39
EE 554Wireless Communications(3-0) 39
EE 555Computer Communication Networks(3-0) 39
EE 557Multiple Antenna Techniques in Wireless Communications(3-0) 39
EE 558Advanced Wireless Communication(3-0) 39
EE 562Telecommunication Circuits(3-0) 39
EE 564Bio-Inspired Multi-Scale Communications(3-0) 39

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

Area 4:            Electromagnetics, Microwave, Photonics and Optical Communications

EE 510Photonics(3-0) 39
EE 511Introduction to Optical Fiber Communications(3-0) 39
EE 512Advanced Optical Fiber Concepts(3-0) 39
EE 513Optical Fiber Sensors(3-0) 39
EE 515Optoelectronics(3-0) 39
EE 516Fourier Optics(3-0) 39
EE 521Advanced Electromagnetic Theory I(3-0) 39
EE 522Numerical Methods for Electromagnetics(3-0) 39
EE 523Antenna Theory(3-0) 39
EE 524Microwave Devices and Applications(3-0) 39
EE 525Asymptotic Techniques in Electromagnetic(3-0) 39
EE 526Advanced Electromagnetic Theory II(3-0) 39
EE 527Microwave Measurement Techniques(3-0) 39

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)