Curriculum (PhD)

Curriculum (PhD)

Ph.D. in Electronics and Communications Engineering

Common Core Courses:

EE 598

(0-2)NC

Research Seminar*

EE 600

(0-1)NC

Ph.D. Thesis

EE 8XX

(4-0)NC

Special Studies

EE 9XX

(4-0)NC

Special Topics

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

Research Area Core Courses:

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

(3-0)3

Linear System Theory
EE 531

(3-0)3

Probability and Random Processes
EE 532

(3-0)3

Stochastic Analysis and Estimation for Dynamical Systems
EE 533

(3-0)3

Digital Signal Processing
EE 534

(3-0)3

Advanced Digital Signal Processing
EE 538

(3-0)3

Detection and Estimation Theory
EE 543

(3-0)3

Artificial Neural Systems
EE 546

(3-0)3

Pattern Recognition
EE 547

(3-0)3

Computer Vision
EE 556

(3-0)3

Nonlinear Systems Analysis
EE 559

(3-0)3

Nonlinear Control Design
EE 560

(3-0)3

Robot Manipulator Control
EE 561

(3-0)3

Advanced Robot Kinematics

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

Area 2: Signal Processing

EE 531

(3-0)3

Probability and Random Processes
EE 532

(3-0)3

Stochastic Analysis and Estimation for Dynamical Systems
EE 533

(3-0)3

Digital Signal Processing
EE 534

(3-0)3

Advanced Digital Signal Processing
EE 535

(3-0)3

Adaptive Filter Theory
EE 536

(3-0)3

Speech Processing I
EE 537

(3-0)3

Speech Processing II
EE 538

(3-0)3

Detection and Estimation Theory
EE 539

(3-0)3

Audio Signal Processing
EE 540

(3-0)3

Wavelet Theory Multiresolution Signal Analysis
EE 541

(3-0)3

Speech Synthesis
EE 542

(3-0)3

Multidimensional Signal Processing
EE 545

(3-0)3

Image Processing
EE 546

(3-0)3

Pattern Recognition
EE 547

(3-0)3

Computer Vision
EE 548

(3-0)3

Medical Imaging Systems and Application
EE 549

(3-0)3

Biomedical Image Analysis
EE 550

(3-0)3

Computational Biology

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

Area 3: Communication Systems

EE 531

(3-0)3

Probability and Random Processes
EE 532

(3-0)3

Stochastic Analysis and Estimation for Dynamical Systems
EE 533

(3-0)3

Digital Signal Processing
EE 534

(3-0)3

Advanced Digital Signal Processing
EE 535

(3-0)3

Adaptive Filter Theory
EE 538

(3-0)3

Detection and Estimation Theory
EE 544

(3-0)3

Information Theory and Coding
EE 551

(3-0)3

Digital Communications I
EE 552

(3-0)3

Digital Communications II
EE 553

(3-0)3

Error Control Coding
EE 554

(3-0)3

Wireless Communications
EE 555

(3-0)3

Computer Communication Networks
EE 557

(3-0)3

Multiple Antenna Techniques in Wireless Communications
EE 558

(3-0)3

Advanced Wireless Communication
EE 562

(3-0)3

Telecommunication Circuits

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

Area 4: Electromagnetics, Microwave, Photonics and Optical Communications

EE 510

(3-0)3

Photonics
EE 511

(3-0)3

Introduction to Optical Fiber Communications
EE 512

(3-0)3

Advanced Optical Fiber Concepts
EE 513

(3-0)3

Optical Fiber Sensors
EE 515

(3-0)3

Optoelectronics
EE 516

(3-0)3

Fourier Optics
EE 521

(3-0)3

Advanced Electromagnetic Theory I
EE 522

(3-0)3

Numerical Methods for Electromagnetics
EE 523

(3-0)3

Antenna Theory
EE 524

(3-0)3

Microwave Devices and Applications
EE 525

(3-0)3

Asymptotic Techniques in Electromagnetic
EE 526

(3-0)3

Advanced Electromagnetic Theory II
EE 527

(3-0)3

Microwave Measurement Techniques

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

Out of Research Area Course:

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

Mathematical Foundations Course:

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.

Elective Courses:

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)