Ph.D. in Electrical and Electronics Engineering

Graduation Requirements and Courses

Graduation Requirements for Ph.D. in Electrical and Electronics Engineering

Publication Requirements for Ph.D. in Electrical and Electronics Engineering

In addition to mentioned graduation requirements, a PhD candidate is requested to satisfy the following publication requirement before the thesis defense:

• SCI journal publication accepted OR,
• SCI-Expanded journal publication accepted.

Required Courses

• GSE 680 Graduate Study and Seminars for Research, Innovation and Ethics
• EE 900 Ph.D. Qualification Exam in Electrical and Electronics Engineering
  Ph.D. Qualifier Exam has two parts, namely, a written exam and an oral exam. The written part tests the breadth of knowledge in the general field of CS while the oral part tests the depth of knowledge in specific areas of CS.
• EE 970 Ph.D. Thesis Proposal in Electrical and Electronics Engineering
  This course is the proposal stage of Ph.D. thesis where the student identifies an advanced research problem and solution methodology with his/her thesis advisor.
• EE 977 Ph.D. Thesis Study I in Electrical and Electronics Engineering
  This course belongs to the research stage of Ph.D. thesis where the student conducts the initial phase his/her work to develop a solution for the advanced research problem identified in the proposal stage.
• EE 978 Ph.D. Thesis Study II in Electrical and Electronics Engineering
  This course belongs to the research stage of Ph.D. thesis where the student conducts the intermediate phase his/her work to develop a solution for the advanced research problem identified in the proposal stage.
• EE 979 Ph.D. Thesis Study III in Electrical and Electronics Engineering
  This course belongs to the research stage of Ph.D. thesis where the student conducts the final phase his/her work to develop a solution for the advanced research problem identified in the proposal stage, and publishes his/her research results in a scientific journal.
• EE 980 Ph.D. Thesis Defense in Electrical and Electronics Engineering
  This course is the defense stage of Ph.D. thesis where the student writes and presents his/her dissertation.

Elective Courses

EE 501 Linear Systems
The course includes topics like applied linear algebra and linear dynamical systems with applications to circuits, signal processing, communications, and control systems. The course covers state-space representations, linear operators, eigenvalues and eigenvectors, stability, controllability, observability, realization theory, feedback and observers.

EE 503 Stochastic Processes
This course covers the basics and the theory, as well as important applications of probability, random variables, and stochastic processes. Topics include random processes and sequences, autocorrelation, covariance, power spectral density, stationarity, ergodicity, Poisson, Wiener, Gauss, and Markov processes, elementary queueing theory.

EE 518 Power Conversion and Control in Photovoltaic Systems
Photovoltaic systems are the rapidly growing renewable energy source at present. Power electronics is a key enabling technology in the utilization of this resource. This is an advanced course on power electronic converters and control methods for photovoltaic systems to ensure reliable operation with utility grid.

EE 521 Digital Image Processing
Topics include color theory and human visual system, sampling and Fourier analysis of images, image transforms, enhancement, noise filtering, restoration, segmentation, and reconstruction of images, as well as image coding and compression.

EE 522 Digital Speech Processing
Topics include speech signal analysis, speech coding, text-to-speech synthesis, speech recognition, voice authentication techniques, basics of linguistics, hearing, and sound propagation.

EE 523 Detection and Estimation Theory
Major topics include simple hypothesis testing, composite hypothesis testing, Bayesian test, Neyman-Pearson test, detection of deterministic or random signals in noise, detection of signals with unknown parameters, criteria for optimal estimation, Cramer-Rao bounds for estimator performance, deterministic parameter estimation, random parameter estimation based on the Bayesian approach.

EE 525 Machine Learning
Topics include linear regression and classification concepts and techniques, Gaussian mixture models and Expectation Maximization algorithm, probabilistic principal component and factor analysis, support vector machines and multi-classifier methods, decision trees and random forests.

EE 527 Advanced Digital Signal Processing
This course will introduce the graduate level statistical signal processing and modeling techniques, time-frequency representations and practical applications of advanced signal processing techniques. The course will review discrete-time signal processing and random processes. Various deterministic and stochastic signal modeling methods such as Padé, Prony, autoregressive (AR), moving average (MA) and ARMA methods will be introduced. Then, optimum linear filters, FIR and IIR Wiener filters and discrete Kalman filters will be presented. Next, the estimation techniques for the power spectrum of random processes will be introduced which include periodogram based nonparametric methods and parametric methods. Furthermore, frequencies of harmonics processes are estimated by using methods such as Pisarenko and MUSIC. Next, design and implementation of adaptive filters focusing on LMS and recursive least squares algorithms are discussed. In addition to the advanced statistical signal processing methods, time-frequency signal representations such as short-time Fourier Transform and wavelet transform will be reviewed by including the discussion of Fractional Fourier Transform and Wigner distribution. Finaly the applications of advanced signal processing techniques in modern technologies will be discussed such as speech & image processing, spectrum sensing, array processing, communications systems, compressed sensing systems. The methods and analyzes are implemented with an advanced set of practical algorithms mainly in MATLAB leading to developing advanced techniques for the solution of signal processing problems.

EE 529 Biomedical Imaging
This lecture presents the fundamentals of medical imaging with a focus on signals and systems aspect and with up-to-date descriptions of instrumentation. Important imaging modalities are described including projection radiography, x-ray computed tomography, nuclear medicine scintigraphy and emission tomography, ultrasound imaging, and magnetic resonance imaging. Basic imaging principles with a review of two dimensional signal processing and image quality are introduced. Theory of medical imaging systems based on continuous and discrete signals are included with discussions on sampling and implementation. Image quality including resolution, noise, contrast, geometric distortion, and artifacts are described. Physics of radiography, generation and detection of ionizing radiation and the effects on the human body are discussed. Projection radiography systems including chest x-ray, fluoroscopy, and mammography systems are also introduced including mathematics of projection imaging. X-ray computed tomography and image reconstruction in medical imaging are studied. Then, physics of nuclear medicine, radioactivity, and major modalities in nuclear medicine imaging including scintigraphy and emission computed tomography is studied. In addition, physics of ultra-sound and magnetic resonance imaging techniques are described. Besides that, cellular, microbiological and microfluidic imaging methods are discussed which utilize modern nanotechnological methods.

EE 541 Information Theory and Coding
This course offers an introduction to the theory of information and its applications to reliable, efficient communication systems. Topics include the concepts of entropy, mutual information, the Asymptotic Equipartition property, applications to source coding (data compression), applications to channel capacity (channel coding), rate distortion theory, Huffman codes, cyclic codes.

EE 543 Digital Communications
Major topics include digital modulation techniques, coherent and non-coherent detection, error rate performance analysis, signaling in the presence of intersymbol interference, diversity techniques multiple-antenna systems, and multicarrier digital communications.

EE 544 Wireless Communications
Major topics of this course include: Fundamental properties of wireless channels, including path loss, shadowing and fading models. Information theoretic analysis of wireless channels. Performance of digital modulation in wireless channels. Adaptive modulation methods in wireless communications. Transmitter and receiver diversity techniques. The use of multiple antennas in wireless communications and MIMO systems. Equalization techniques. Multi-carrier modulation for wideband wireless systems. Multiuser systems and multiple access schemes. Cellular systems and frequency reuse techniques.

EE 545 Space-Time Wireless Communications
Major topics include MIMO channel capacity, space-time trellis coding, space-time block coding, spatial multiplexing, error probability analysis of MIMO systems, diversity-multiplexing tradeoff, and MIMO systems for frequency-selective fading channels.

EE 548 Sensor Networks
In this course, the introduction of communication architectures and applications of wireless sensor networks (WSNs) is presented by focusing on networking aspects, performance metrics such as energy efficiency, cost, computational power, connectivity and coverage and various cutting-edge and attractive applications such as monitoring, tracking, inter-vehicle communications, architectures for home automation and health monitoring. The challenges are studied for the design of high performance and innovative sensor networking applications. The literature review assignments about sensor networks introduce students the diverse literature about sensor networks. Moreover, future research trends are emphasized.

EE 550 Wireless Networks
Topics include medium access and resource allocation techniques for cellular, WLAN, sensor and mobile ad-hoc networks, power control for fixed-rate and adaptive-rate systems, Aloha and CSMA-based randomized medium access, scheduling for TDMA/FDMA/CDMA/OFDMA-based wireless networks, design and analysis for network layer routing protocols, transport layer protocols for wireless networks, programmable wireless networks, software-defined wireless networks, network function virtualization for current and next generation cellular networks

EE 551 Wireless Communication Technologies
This course will present the fundamental concepts of wireless communication technologies and their applications in communication systems by pointing out the future research aspects. Radio wave propagation models and wireless channels with their unique characteristics such as path loss, shadowing and fading will be presented. The wireless channel capacity will be studied by using the fundamental information theoretical results. Fundamental modulation techniques including amplitude, phase and frequency modulation will be covered. Error and outage probability performances of digital modulation techniques over wireless channels will be studied. Transmitter and receiver diversity techniques, adaptive transmission and modulation, equalization, multicarrier and spread spectrum techniques will be presented for performance improvements in wireless channels.

Furthermore, innovative and important applications of wireless communication technologies such as sensor networks, communication technologies for smart homes and vehicular applications will be studied.

EE 555 Advanced RF Integrated Circuit Design
This course introduces the principles, analysis, and design of CMOS Radio frequency (RF) integrated circuits for wireless communication systems. Not only various system level architectures, but also lower level building circuit blocks such as Low-Noise-Amplifiers (LNAs), mixers, Voltage-Controlled-Oscillators (VCOs), Phase-Locked-Loops (PLLs), RF Power Amplifiers (PAs) and many other supporting circuit technologies are discussed in detail. Students also find chance to get familiar with modern simulation tools, build circuits and systems and test them.

EE 561 FPGA and System on Chip Design
Topics include: taxonomy of FPGA, ASIC, SoC; digital logic design review; design flows; Verilog language overview; testbench writing and simulation; synthesis; basic design examples on an FPGA board; more advanced designs; SoC design example; chip design for video applications.

EE 562 Digital Electronics and FPGA Design
This course makes an introduction to modern digital design, which is done through language based design entry. The language we use is Verilog. The course builds on top of Digital Systems course and has three parts, namely, intermediate level Verilog, RTL design targeted towards FPGA and verification, VLSI, and digital electronics at other levels (library level and board level).

EE 565 Embedded Systems Design
Topics include top-down system design, MCUs, uPs, RISC architecture, branch prediction, caching, MMU, system buses, DMA, superscalar, ICD, interrupt handling, PIC development platforms, timers, peripherals, OS fundamentals, embedded Linux, HW/SW resource management.

EE 566 System on Chip Design
The course deals with advanced RTL design and verification, synthesis, implementation issues, bus-based designs.

EE 567 Optics and Optical Methods in Engineering Science
Topics include basic concepts of optics, fundamentals of ray optics, electromagnetic wave propagation and solution to the wave equation, traveling and standing waves, simple harmonic oscillation, free and forced oscillations, reflection; refraction; interference and polarization of waves, various applications of optical techniques including interferometry and holography, introduction to lasers and their applications in engineering, basic theory of cavity, characterization of various lasers, basic concepts on the design of optical instrument components including lenses; optical sensors; polarizers and beam expanders.

EE 568 Hardware Design Patterns
“Design Patterns” is a popular area in recent years within the software community in academia and the software industry. It is about taking a step back from what software designers do every day and abstract out some class templates they often write and turn them into clean, application agnostic classes, or “textbook cases”. The same has not been attempted in the hardware domain so far except for small attempts in papers and a few lectures. However, the situation for hardware and hardware designers is the same. Such design templates circulate among experienced designers and are demanded from young designers at job interviews. We step back a little bit in this course and abstract out such hardware design templates and turn them into textbook cases.

EE 569 Electric Motor Drives
This is an intermediate level graduate course on electric drive systems. The focus of the course includes electric motor characteristics (Brushed and brushless dc motors, induction motors, brushless AC motors, reluctance and stepper motors), mechanical load types, speed-torque conventions, digital control of motor drives, vector control method. There are MATLAB and PSIM simulations to emphasize the theories.

EE 572 Fundamentals of Illumination and Lighting
This course is a basic fundamentals course that focuses on the physics of illumination with respect to lighting technology and the quantitative aspects of lighting design. For those students interested in lighting systems, this course is the basis for all illumination calculations and gives them the technical knowledge necessary to effectively create lighting systems that meet the design expectations. Course topics include basic electromagnetism, radiation and light sources, quantities and units of lighting measurements and calculations, vision and color, photometry and lighting design. Students gain a foundation of technical information sufficient to understand rudiments of lighting design.

EE 573 Energy Systems
This course will focus on electrical energy systems. Students will learn the history of electric power industry, types of distributed generation, wind power systems, solar resource, and economics of power systems. A final project including the work to design, simulate, and analyze a self-sustainable microgrid for the Ozyegin University will be assigned.

EE 574 Optimization for Engineers
The course concentrates on recognizing and solving convex optimization problems that arise in engineering applications. The following topics will be covered: convex sets, functions, and optimization problems, basics of convex analysis, least-squares, linear and quadratic programs, optimality conditions, duality theory, interior-point methods.

EE 580 Advanced Optoelectronics: Innovative Design
Optoelectronics is the use of electronics technology in optics. Advanced Optoelectronics course includes an overview of geometrical optics, wave optics, a brief introduction to quantum optics, driving circuitry for photonic devices to modulate/create/detect light. Analog controllers for interferometric stabilizers, actively quenched and passively quenched avalanche photodiodes (APDs) are discussed.

EE 583 Microwave Circuits and Devices
Topics include the theory of transmission lines, equivalent circuits, waveguides, planar transmission lines (microstrip, stripline), characteristic impedance, maximum power transfer, the Smith chart, impedance matching, equivalent circuits, microwave network parameters with emphasis on S-parameters, signal flow graphs, power dividers and couplers, filters, resonators, active microwave circuits such as low-noise amplifiers, noise and time permitting mixers, oscillators microwave system analysis.

EE 584 Antennas
The goals of this course are (1) to develop students’ analytical and intuitive understandings of antenna physics, and (2) to introduce students to a large variety of antenna structures of practical interest related to recent developments in wireless communication and radar systems. The course culminates with an antenna system design project where students leverage their knowledge of antennas to specify and synthesize a practical antenna communication system.

EE 586 Quantum Information Technologies
Quantum Information is the use of atoms/ions/quantum dots/superconducting qubits and photons for information science applications. Quantum Information Technologies course includes an overview of stationary and flying qubits, different ways of information encoding on qubit carriers, i.e. polarization, time-bin, energy and spatial mode encoding, a brief introduction to quantum phase gates, basic quantum computing algorithms, quantum key distribution protocols, tasks that can be computed faster using quantum computers are discussed.

EE 588 Photonics
Photonics has a broad range of application in modern technologies ranging from solid state lighting to lasers, optical telecommunications to medical devices. The course topics include an overview of Electromagnetic theory; comprehensive study of lasers including fundamentals of laser physics; properties of laser light, emission, absorption and stimulated emission; energy levels in solids, liquids, gases and semiconductors; stable and unstable laser cavities; continuous wave and transient laser behavior; laser types; scientific and industrial applications of lasers; fiber optics, nonlinear optics and other concepts in photonics.

EE 590 Introduction to Power Electronics
The main objective of power electronics is to improve the quality and utilization of electrical power that is widely used in every part of home and industry from milliwatts to megawatts applications. Efficient use of power will, therefore, conserve the energy resources of the world. Power electronics addresses the conversion techniques of electrical energy to achieve these goals

EE 591 Control Systems
This course covers the analysis and design of linear feedback control systems for command-following error, stability, and transient response specifications. Students learn root-locus and frequency response design techniques using examples from a variety of fields. The emphasis is on topics such as feedback control, stability, transient response, root-locus and frequency response analysis of continuous-time control systems.

EE 592 Nonlinear Optimization
Nonlinear and Mixed-Integer Optimization addresses the problem of optimizing an objective function subject to equality and inequality constraints in the presence of continuous and integer variables. These optimization models have many applications in electrical engineering. This course aims at presenting the fundamentals of nonlinear and mixed-integer optimization. Firstly, it introduces the generic formulations of this class of optimization problems and presents several illustrative applications. Next, it contains the following two main parts: Part 1: Fundamentals of Convex Analysis and Nonlinear Optimization, Part 2: Fundamentals of Mixed-Integer Optimization.

EE 593 Power Electronics
This course in power electronics covers electrıcal power conversion techniques ranging from milliwatts to megawatts applications. It elaborates on many detailed topics in DC-DC, AC-DC, DC-AC power converters such as; converter dynamics and control, resonant converters, converter analysis in equilibrium, power system harmonics, and low-distortion rectifiers.

EE 594 Switching Power Supplies
The course goes over the fundamentals of switching mode power supplies. It provides mathematical tools for steady-state and dynamic analysis of various switching mode power supply topologies, such as buck and boost converters. Various circuit techniques as well as analysis methods are presented in detail to equip the students with necessary skills to be able design any specific switching power converter.

EE 595 Energy Storage Systems in Power Grid
Large-scale energy storage systems address the problem of voltage and frequency stability and also the intermittency of renewable energy technologies. These systems have many applications nowadays in the traditional power grid. This course aims at presenting the application areas of energy storage technologies in electrical engineering. Firstly, the course introduces the fundamentals of the systems including the chemistry, power electronics, and control systems; then it contains the following two main parts: Part 1: Technical and financial analysis of each application by case studies, Part 2: Development of optimization models to create a control system for the storage devices.

EE 596 EMC Engineering
This course focuses on basic and general EMC science. General EM concept is presented to students firstly. Students are encouraged for good EMC design techniques. They develop ability to diagnose and solve EMC problems. Students learn the reasons behind EMC problems and are able to solve these problems during tests. They review available tools and methods that help to design EMC compliant products. The standards related to EMC tests are overviewed during lessons. The covered topics include antenna modeling and simulation.

EE 597 Special Topics in Electrical&Electronics Engineering II: RF Front-End Systems for Satellite Communication
Topics include the theory of RF link budget calculations, transmission lines, planar transmission lines (microstrip, stripline), planar antenna design and characterization, bandwidth enhancement techniques, RF polarization techniques, maximum power transfer, planar RF filters, power combiners and splitters