Web Site of the Department 

Head of Department : Murat Saraçlar

Associate Department Heads : Günhan Dündar, Sema Dumanlı Oktar

Professors :  Hüseyin Abut•, Burak Acar, Mehmet Akar, Emin Anarım, M. Levent Arslan, Işıl Bozma, Kemal Cılız, Oğuzhan Çiçekoğlu,  Yağmur Denizhan, Günhan Dündar, Ayşın Ertüzün, Yasemin Kahya, Mutlu Koca, Avni  Morgül*, Şenol Mutlu, Ahmet Öncü, Kadri Özçaldıran, Murat Saraçlar, Selim Şeker, Arda Deniz Yalçınkaya, Abbas Yongaçoğlu•,Ali Emre Pusane

Associate Professors : Sema Dumanlı Oktar.

Assistant Professors : Faik Başkaya, Heba Mohamed Yüksel

Instructors : Dr. Selim Hacısalihzade•, Dr. Barhan Özce*

*Part-time
•Adjunct
† Professor Emeritus
 

MASTER OF SCIENCE PROGRAM

The M.S. Program in Electrical and Electronic Engineering comprises a minimum of 24 credits of course work and a thesis. The total number of credits is composed of at least 12 credits of option courses, and 12 credits of elective courses. Option courses are chosen, with the approval of the student's advisor, from among the courses related to one of the following three options: Electronics, Control Systems, Information and Information and Communication.

Elective courses may be chosen from among the graduate courses offered in Electrical and Electronic Engineering and from the courses offered by the Institute for Graduate Studies in Science and Engineering, subject to the approval of the student's advisor.

 

MASTER OF SCIENCE PROGRAM in ELECTRICAL AND ELECTRONICS ENGINEERING

First Semester		Cr.	Ects*
-- --	Option Core Course**	3	8
-- --	Specified Elective ***	3	8
-- --	Elective Course	3	6
-- --	Elective Course	3	7
EE 579	Graduate Seminar	0	1
		12	30

Second Semester		Cr.	Ects
-- --	Option Core Course	3	8
-- --	Specified Elective ****	3	8
-- --	Elective Course	3	8
-- --	Elective Course	3	6
		12	30

 

Code	Course	Cr.	ECTS
EE 690	Master's Thesis	0	60

Total Credits: 24
Total ECTS: 120

* ECTS and credit hours specified are the minimum required values.

** Each student must have a declared Option; the available Options are:

Option A: Electronics

Option B: Telecommunications & Signal Processing

Option C: Control

The Core and Elective courses associated with each option are provided below. “Option Core” and “Option Elective” refer to the course set associated with the student’s declared Option.

*** This “Specified Elective” course must be selected from the “Specified Elective #1” set provided for the student’s declared Option.

**** This “Specified Elective” course must be selected from the “Specified Elective #2” set provided for the student’s declared Option.

 

Option A. Electronics

Core courses:

EE 535 Introduction to MEMS

EE 537 Introduction to VLSI Design

Specified Elective #1:

EE631 Advanced Electronics Circuits

Specified Elective #2:

EE536             Applications of MEMs

EE632             System Design with Microelectronic Devices

EE638             Advanced VLSI Design

 

Option B. Telecommunications & Signal Processing

Core courses:

EE 577            Statistical Signal Analysis

EE 572            Mathematical Methods for Signal Processing

Specified Elective #1:

EE544             Digital Wireless Communications   

EE671             Information Theory           

EE677             Detection and Estimation Theory   

Specified Elective #2:

EE570             Subspace Methods in Signal Analysis

EE574             Image Analysis

EE578             Speech Processing

 

Option C. Control

Core courses:

To be chosen from the Specified Elective sets.

Specified Elective #1 and Specified Elective #2:

EE551             Robust Control

EE550             Artificial Neural Networks

EE58F             Sp.Top.: Decentralized Control &Decision Making

EE552             Digital Control

EE58K             Sp. Top.:Control Eng. Appl.             

EE553             Introduction to Nonlinear Control

EE652             Adaptive Control

EE653             Optimal Control Theory

EE655             Stochastic Systems and Control

EE689             Sp. Top.: Applied Adaptive Control

EE657             Robotics               

EE485             Introduction to Fuzzy Control

SCO591          Nonlinear Dynamics and Chaos

 

DOCTOR OF PHILOSOPHY PROGRAM

The Ph.D. Program in Electrical and Electronic Engineering is composed of a minimum number of 24 credits of course work, chosen under the supervision of an advisor from among the option courses in Electrical and Electronic Engineering and from the courses offered by the Institute, and a dissertation carried out according to the regulations of the Institute.

PhD PROGRAM in ELECTRICAL AND ELECTRONICS ENGINEERING

First Semester		Cr.	ECTS*
-- --	Elective Course**	3	7
-- --	Elective Course	3	7
-- --	Elective Course	3	7
-- --	Elective Course	3	7
EE 700	Graduate Seminar	0	1
	Total	12	29

Second Semester		Cr.	ECTS
-- --	Elective Course	3	7
-- --	Elective Course	3	7
-- --	Elective Course	3	7
EE 699	Guided Research I	4	10
	Total	13	31

		Cr.	ECTS
-- --	Qualifying Exam***	0	30
-- --	Thesis Proposal Defense	0	30
EE 790	PhD Thesis ****	0	120
	Total	0	180

Total Credits: 25
Total ECTS: 240

* ECTS and credit hours specified are the minimum required values.

** It is assumed that the requirements of the MSc degree have been previously fulfilled. Otherwise the elective course should be chosen accordingly.

*** Qualifying Exams are conducted in accordance with the rules and regulations specified by the Department and announced before each exam.

**** Additional requirement for graduation: An article related to doctoral studies published (or accepted for publication) in a scientific journal indexed by SCIE/SSCI.

 

COURSE DESCRIPTIONS

EE 512 Solid State D.C. Drives (3+0+0) 3 ECTS 8
(Katı Hal D.C. Sürücüleri)
Evolution of D.C. drives. Analysis and performance characteristics of single-phase, three-phase and chopper-fed D.C. drives. Reversible drives. Discontinuous current operation. Regenerative braking. Dual converters. Closed-loop control. Analysis and design of controller structures. Phase locked loop control. Microprocessor based drive control systems. Applications.
Prerequisite: Consent of the instructor.

EE 531 Digital Television and Multimedia Engineering (3+0+0) 3 ECTS 8
(Sayısal Televizyon ve Çokluortam Mühendisliği)
Principles of picture transmission. Color fundamentals. Digital video and audio. Video and audio compression techniques and standards, including MPEG, JPEG, H264, and HEVC. Digital video broadcasting (DVB) and Internet protocol TV (IPTV). Image capturing devices such as CCD and MOS cameras. Display devices, including LCD, plasma, and OLED. 3D techniques. Television receivers.

EE 535 Introduction to Microelectromechanical Systems (3 +0+0) 3   ECTS 8
(Mikroelektromekanik Sistemlere Giriş)
Introduction to MicroElectroMechanical Systems (MEMS) and to the fundamentals of micromachining and microfabrication techniques, planar thin-film processes, photolithography, deposition and etching techniques for MEMS fabrication. Multi-domain analysis of sensing and transduction mechanisms, capacitive and piezoresistive techniques, and design and analysis of micromachined sensors and actuators. Review of pressure sensors, accelerometers, gyroscopes and resonators and their applications.

EE 536 Applications of Microelectromechanical Systems (3+0+0) 3 ECTS 8
(Mikroelektromekanik Sistemlerin Uygulamaları)
Fabrication tools and techniques: Wafer cleaning,  oxidation,  LOCOS,  doping  thin film deposition,  metallization,   wafer bonding, lithography, design rules, masks, wet/dry etching, surface micromachining, bulk micromachining. Actuation/detection techniques: electromagnetic, electrostatic, piezoelectric and thermal techniques. MEMS Applications: MOEMS-Microscanners for display applications, Nanotweezers and Nanogrippers, Radio frequency MEMS and CMOS-MEMS integration.

EE 537 Introduction to VLSI Design (3+0+0) 3 ECTS 8
(Çok Geniş Çaplı Tümleşik Devre Tasarımına Giriş)
Electronic characteristics of logic gates. Fabrication processes for MOS technology. Layout design rules and examples. Electronic characteristics based on geometry. Design verification, Schematic capture, analog/digital simulation. CMOS digital circuits: pads, super buffers, CMOS switch logic. Student term project.

EE 540 Advanced Digital Design (3 +0+0) 3 ECTS 8
(İleri Sayısal Tasarım)
Using Hardware Description Languages (HDL) for the design, specification, simulation, and synthesis of digital systems and their implementation on Field Programmable Gate Arrays (FPGAs). Design of complete digital systems from concept through simulation, synthesis and test. Structural, dataflow and behavioral styles of HDL to describe digital component architecture. Final designs implemented and verified on FPGAs.

EE 541 Computer Communication Networks I (3+0+0) 3 ECTS 8
(Bilgisayar İletişim Ağları I)
Theory and practice of computer communication networks. The layered approach and International Standardization Organization (ISO) Open Systems Interconnection Reference Model (OSI/RM) principles. Physical communication media. Data link layer and reliability of logical links. Multiplexing, switching, and multiple access methods. Network layer routing via X.25 and Internet Protocol (IP); congestion control. Transport protocols: Transmission Control Protocol/Internet Protocol (TCP/IP). Local area networks and performance analysis.

EE 542 Computer Communication Networks II (3+0+0) 3 ECTS 8
(Bilgisayar İletişim Ağları II)
Advanced data transport and switching concepts. Asynchronous Transfer Mode (ATM) principles. Optical networking. High speed switching. Performance issues: queuing theory and delay models in computer networks. Elements of the presentation layer. Application protocols: message handling systems, database applications, network management, World Wide Web (WWW), multimedia.
Prerequisite: EE 541 or equivalent.

EE 544 Digital Wireless Communications (3+0+0) 3 ECTS 8 
(Kablosuz Sayısal İletişim)
Characterization of wireless communication channels and modulation methods under the constraints of both noise and finite bandwidth. Design and analysis of wireless communication systems under fading conditions. Wireless channel capacity. Diversity systems. Interference channels and equalization. Multichannel and multicarrier systems. Spread spectrum techniques and multiuser communications.

EE 545 Wireless Networks and Mobile Systems I (3+0+0) 3 ECTS  8
(Telsiz Ağlar ve Gezgin Sistemler I )
Characteristics and operations of wireless networks: Institute of Electrical and Electronics Engineers (IEEE) 802.11 and Bluetooth wireless area networks. Mobile Internet Protocol (IP) and mobile ad hoc routing protocol. Middleware application program interfaces (APIs) to realize mobile applications. Basic functionality provided by middleware for peer to peer (P2P) computing. Design, implementation and testing of mobile applications.

EE 546  Wireless Networks and Mobile Systems II (3+0+0) 3 ECTS 8
(Telsiz Ağlar ve Gezgin Sistemler II)
Routing protocols in mobile ad hoc networks mobile Internet Protocol (IP) principles. Operation of IP Dynamic Host Configuration Protocol (DHCP). Networks Address Translation (NAT). Principles of security engineering: cryptography, vulnerability, confidentiality, integrity, modification, Public Key Encryption (PKE). The security of Institute of Electrical and Electronics Engineers (IEEE) 802.11 (WEP).
Prerequisites: EE 545 or equivalent

EE 548 Wireless Communication Applications (1+0+4) 3  ECTS 8
(Telsiz İletişim Uygulamaları )
Wireless communication and networking applications: Wireless Local Area Networks (WLAN), wireless web access, peer-to-peer communications, Bluetooth, Mobile Ad hoc Networks (MANET), Mobile Internet Protocol (IP) and Dynamic Host Configuration Protocol (DHCP).
Prerequisites: EE 545 or equivalent.

EE 550 Artificial Neural Networks (3+0+0) 3 ECTS 8
(Yapay Sinir Ağları)
Principles of Neural Computing. Architectural analysis of different neural network models (Hopfield model, Single Perceptron, Multilayer Perceptron etc.). Learning algorithms. Back propagation algorithm and local minima problem. Dynamics of recurrent neural networks. Applications of neural networks for control systems, system identification, associative memories, optimization problem etc. Computer simulation homeworks and final project.

EE 551 Robust Control (3+0+0) 3 ECTS 8
(Dayanıklı Denetim)
Norms for signals and systems. Internal stability. Youla parametrization of all internally stabilizing compensators. Additive and multiplicative plant uncertainty. Robust stability and robust performance against plant uncertainties. Solution of the robust performance problem via loopshaping. Pick-Nevanlinna Interpolation Problem and its application to model matching. Modified robust performance problem (mixed sensitivity problem): Solution via spectral factorization and model matching. Phase and gain margin optimization.

EE 552 Digital Control (3+0+0) 3 ECTS 8
(Sayısal Denetim)
Introduction to digital control of analogue systems. Sampling, quantizing and coding. The z-transformation and its properties, the inverse z-transformation. Discretization techniques, discrete-time equivalence of continuous-time systemsand filters. Transient and steady-state analysis of discrete-time systems, stability analysis. Design of digital controllers based on root locus methods and frequency response methods. State-space analysis of discrete-time system and controller design by pole-placement. Introduction to discrete-time optimal control design.
Prerequisite: Consent of the instructor.

EE 553 Introduction to Nonlinear Control (3+0+0) 3 ETCS 8
(Doğrusal Olmayan Kontrola Giriş)
Basic properties of nonlinear systems, methods of phase space analysis, phase portrait construction, equilibrium points and concepts of stability, Lyapunov’s direct method and its usage for system analysis and control, Lyapunov analysis of non-autonomous systems, Lyapunov-like analysis using Barbalat’s lemma. Feedback linearization and necessary mathematical tools: Lie derivatives and Lie brackets, diffeomorphisms and state transformations. Introduction to sliding control and adaptive control

EE 562 Microwaves (3+0+0) 3 ECTS 8
(Mikro Dalgalar)
Microwave transmission, transmission lines and waveguides. Microwave circuits. Scattering parameters. Microwave resonators. Microwave using ferrites. Generation and amplification of microwaves. Klystrons, magnetrons, traveling wave tubes. Semiconductors in microwaves.

EE 564 Optoelectronics and Photonics  (3+0+0) 3 ECTS 6
(Optoelektronik ve Fotonik)     
Wave nature of light, dielectric waveguides, semiconductor science and light emitting diodes, stimulated emission and lasers, photodetectors, polarization and modulation of light, nonlinear optics. 
Prerequisite: None.

EE 570 Subspace Methods in Signal Analysis (3+0+0) 3 ECTS 8
(İşaret Analizinde Altuzay Yöntemleri)
Principle component analysis (PCA) and whitening. Instantaneous mixtures, convolutive mixtures, nonlinear mixtures. Source separation and cocktail party problem. Basic independent component analysis (ICA). Independent factor analysis (IFA), projection pursuit, sparse factor analysis.  ICA interpretations and derivations via maximization of non-gaussianity, minimization of mutual information, nonlinear decorelation and nonlinear PCA. Noisy ICA, nonlinear ICA, methods using time structure, convolutive mixtures and blind deconvolution, Practical issues and applications.

EE 571 Bayesian Signal Processing (3+0+0) 3 ECTS 8
(Bayes Temelli İmge İşleme)
Bayesian theory and Bayesian estimation. Deterministic, probabilistic and sequential inference techniques. Batch and sequential Bayesian estimation. Sampling methods and simulation-based Bayesian methods. State-space models for Bayesian processing. Classical approach to Bayesian estimation, linear optimal filters: Kalman filters and extended Kalman filters. Unscented transformation, unscented Kalman filter and Gaussian sum filter-based Bayesian estimation. Particle filters, importance sampling, selection of importance function, resampling. Particle filter-based Bayesian estimation. Bayesian joint state/parameter estimation. Cramer-Rao bounds for particle filters.

EE 572 Mathematical Methods for Signal Processing (3+1+0) 3  ECTS 8
(İşaret İşlemede Matematiksel Yöntemler)
Metric spaces, normed vector spaces, basis sets. The four subspaces of the linear transforms. Approximation in Hilbert spaces: least squares filtering and estimation, linear regression, polynomial approximation, minimum norm solutions and system identification. Matrix factorization, eigenvectors, singular value decomposition, iterative matrix inverses, pseudoinverse. Theory of constrained optimization and dynamic programming.

EE 573 Pattern Recognition (3+0+0) 3 ECTS 8
(Örüntü Tanıma )
Overview of learning and statistical decision theory. Model inference and parameter estimation. Linear models for regression and classification. Kernel methods. Nonparametric methods. Model assessment and selection. Ensemble methods. Unsupervised learning.

EE 574 Image Analysis (3+0+0) 3 ECTS 8
(İmge Çözümlemesi )
Image spaces. Variational optimization, variational image processing: restoration and denoising. Curves: representations, characterizations and evolution. Medial axis transform. Surfaces: representations, characterizations and evolution. Interface propagation techniques. Statistical image analysis: Principal Component Analysis (PCA), Independent Component Analysis (ICA).

EE 575 Network Security and Cryptography (3+0+0) 3 ECTS 8
(Ağ Güvenliği ve Kriptografi)
Authentication applications and authentication functions. Application-level authentication and digital signatures. Kerberos, X.509 directory authentication service. Electronic mail security issues. Pretty Good Privacy (PGP), S/MIME schemes. IP security (IPSEC). IP security overview, IP security architecture, authentication and key management. General requirements for web security. Standardized schemes SSL/TLS and SET. System security principles. Intruders, worms, viruses and other threats. Intrusion prevention mechanisms. IDS (Intrusion detection systems). Firewalls, NFAT (Network Forensics Analysis Tools) New trends and applications in network security.

EE 576 Machine Vision (3+0+0) 3 ECTS 8
(Yapay Görme)
Extraction of low-level features, boundary and region based analysis, segmentation and grouping, lightness and color, shape from shading. Photometric and binocular stereo, optical flow and motion estimation, strongly-modeled vision, weakly-modeled vision recognition, integration and vision systems, real-time vision.
Prerequisite: Consent of the instructor.

EE 577 Statistical Signal Analysis (3+1+0) 3 ECTS 8
(İstatistiksel Sinyal Çözümlemesi )
Characteristics of random processes. Correlation function and power spectral density of stationary processes. Noise mechanisms, the Gaussian and Poisson processes. Statistical estimation theory, linear mean square filtering, optimum Wiener and Kalman filtering. Signal detection theory and statistical significance tests.
Prerequisites: Consent of the instructor 

EE 578 Speech Processing (3+0+0) 3 ECTS 8
(Konuşma İşleme)
Speech production theory, acoustic tube model, linear prediction model, cepstrum analysis, homomorphic speech processing, vector quantization and speech coding, speech enhancement, text-to-speech synthesis, hidden Markov models and their application to speech recognition.

EE 579 Graduate Seminar (0+1+0) 0 Pass/Fail ECTS 1
(Lisansüstü Seminer)
Seminars offered by faculty, guest speakers and/or graduate students designed to widen students' perspectives on specific topics of interest and to expand their range of scientific research techniques and publication ethics.

EE 580-589 Special Topics (3+0+0) 3 ECTS 8
(Özel Konular)
In depth study of a special topic in the area of Communication, Control or Electronics.

EE 590-599 Selected Topics (3+0+0) 3 ECTS 8
(Seçilmiş Konular)
In depth study of a selected topic in the area of Communication, Control or Electronics.

EE 621 Network Synthesis (3+0+0) 3 ECTS 8
(Devre Sentezi)
Loop and node equations in s-domain, state equations, Tellegen's theorem, positive definite quadratic forms. Synthesis of emmitance functions and of transfer functions: 'z', 'y' parameters, zeroes of transmission. Active network synthesis, some classical network configurations, signal flow graph techniques. Filter characteristics and approximation techniques. Sensitivity and tolerance considerations.

EE 628 Game Theory (3+0+0) 3 ECTS 8
(Oyun Kuramı)
Introduction to game theory in matrix and extensive forms of optimal strategies. Discrete and continuous zero-sum games. Games of kind and games of degree. Pontryagin's theory for linear pursuit problems. Imperfect information. Markov games. Nonzero sum and many players' games

EE 631 Advanced Electronic Circuits (3+0+0) 3 ECTS 8
(İleri Elektronik Devreler)
Pulse transformers, transmission lines. Broadband amplifier analysis and design. Sweep generation. Synchronization. Negative resistance devices. Parametric amplifiers. Sampling gates.

EE 632 System Design with Microelectronic Devices (3+0+0) 3 ECTS 8
(Tümdevrelerle Sistem Tasarımı)
Classification of linear and digital integrated circuits. Digital system design; logic circuits, dividers, counters and memories, digital communication circuits. Linear system design; radio-TV circuits, power amplifiers, linear communications circuits. Hybrid systems; SAW and digital filters. Microprocessor based intelligent systems.

EE 633 Computational Aspects of VLSI (3+0+0) 3 ECTS 8
(Çok Geniş Çaplı Tümleşim Algoritmaları)
Analog circuit simulation, digital circuit simulation and switch level simulation techniques. Physical design of VLSI circuits. Floorphamming, placement, channel routing, global routing, and performance driven routing. Silicon assembly. Silicon compilation for digital VLSI, silicon compilation for analog VLSI.

EE 634 Integrated Electronics (3+0+0) 3 ECTS 8
(Tümleşik Elektronik)
Types of integrated circuits, physical process employed in the design of integrated circuits, impurity diffusion and diffusion junction properties, oxidation and surface statesthin film deposition and properties; epitaxial growth; passive and active components for integrated electronics; integrated circuit design principles.

EE 635 Theory of Electron Devices (3+0+0) 3 ECTS 8
(Elektronik Aygıtlar Kuramı)
Photo conductivity, photo-emission, light amplification, metal semiconductor diodes, field effect devices, special effects in semiconductors, properties of dielectric materials and magnetic materials.

EE 637 Integrated Circuit Design (3+0+0) 3 ECTS 8
(Tümdevre Tasarımı)
Introduction to device physics, A.C. and D.C. models for integrated circuit transistors, biasing techniques, current and voltage sources and references, design principles for analog circuits such as operational amplifiers, voltage regulators, multipliers. Design principles for digital circuits such as DTL's, ECL's and TTL's.

EE 638 Advanced VLSI Design (3+0+0) 3 ECTS 8
(İleri Çok Geniş Çaplı Tümleşik Devre İleri Tasarım Teknikleri)
Dynamic circuits: clocked static logic, charge leakage, storage and sharing. Dynamic logic: Domino, MODL, LDL, NORA and Zipper CMOS logic. Electronic design automation (EDA). Chip design options: Programmable logic, programmable gate arrays, sea-of-gates and standard cell design. CMOS subsystem design. Testing and design for testability. Student term project.

EE 639 Current Mode Circuits (3+0+0) 3 ECTS 8
(Akım Modlu Devreler) 
Current conveyors, current feedback operational amplifiers and other current mode building blocks. Voltage-mode to current-mode conversion. Translinear circuits. Nullor concept. Current-mode analog filter design. Log-domain circuits. Externally linear, internally non-linear circuits.

EE 640 Microprocessor System Design (3+0+0) 3 ECTS 8
(Mikroişlemcili Sistem Tasarımı)
Design of dedicated purpose microprocessor systems used in electronic instrumentation, control and communications. Design of medium to large size microprocessor systems. Multi-processor system design.

EE 644 Error Control Coding (3+0+0) 3 ECTS 8
(Hata Denetim Kodları)
Introduction to algebra and Galois fields. Various error control coding techniques including linear block codes, cyclic codes, BCH and Reed-Solomon codes, convolution codes. Viterbi algorithm. Trellis coded modulation.
Prerequisite: Consent of the instructor.

EE 650 H - Optimal Control (3+0+0) 3 ECTS 8
(H - Eniyi Denetim)
Definitions of L2, L , H2 and H spaces, Background on linear operators. Nehari Problem. Co-prime factorizations over H , parametrization of internally stabilizing compensators and reduction of the H - Optimal Control Problem to a model matching problem. Solution of the one-sided model matching problem via Nehari Theorem for SISO systems. Canonical inner-outer, spectral and J-spectral factorizations for MIMO systems. Krein spaces and solution of the two-sided model matching problem via Nehari Theorem. State, space solution of the H - Optimal Control Problem: central controller and parametrization of all H - Optimal controllers.

EE 652 Adaptive Control (3+0+0) 3 ECTS 8
(Uyarlanır Denetim)
Overview of basic approaches and alternatives to adaptive control; review of deterministic and stochastic signal and system models; real time parameter estimation using recursive least squares and its derivatives, persistent excitation, covariance management estimation under feedback; model reference adaptive systems, MIT rule, hyperstability approach; self-tuning regulators. Direct and indirect methods, minimum variance, linear quadratic and generalized predictive control strategies, convergence analysis using ODE method.
Prerequisite: Consent of the instructor.

EE 653 Optimal Control Theory (3+0+0) 3 ECTS 8
(Eniyi Denetim Kuramı)
Calculus of variations in system optimization. Two point boundary value problems. Optimal control function and optimal control law. Dynamic programming. Pontryagin's Minimum Principle: minimum time, minimum fuel, minimum energy problems. Optimal control design with quadratic criteria. Regulation and tracking problems. Singular control problems.
Prerequisite: Consent of the instructor.

EE 655 Stochastic Systems and Control (3+0+0) 3 ECTS 8
(Rasgele Sistemler ve Denetimi)
Modeling and analysis of discrete time and continuous time uncertain linear dynamic systems. Estimation problems: Bayesian, Fisher and Weighted Least Square estimation. Optimal prediction, filtering and smoothing. Kalman filtering. Wiener-Hopf theory. Stochastic optimal control.
Prerequisite: Consent of the instructor.

EE 656 Analysis of Nonlinear Control Systems (3+0+0) 3 ECTS 8
(Doğrusal Olmayan Denetim Sistemleri)
Solution of nonlinear control problems, phase-plane, describing function, relay servomechanisms. Optimum and quasi-optimum relay servos. Nonlinear compensation techniques. Self-adaptive control systems. Analog simulation.

EE 657 Robotics (3+0+0) 3 ECTS 8
(Robot Sistemleri)
Industrial automation. Manipulator and sensor technology. Review of kinematics and Lagrangian dynamics. Joint-space/work-space transformations and data structures. Point to point continuous path control. Robot control: command languages, navigation and mapping, optical and acoustic ranging and pattern recognition, collision avoidance algorithms, positioning accuracy, resolution and repeatability. Distribution of intelligence. Adaptive hierarchical control.

EE 658 Computer Control Techniques (3+0+0) 3 ECTS 8
(Bilgisayarla Denetim Teknikleri)
Design and implementation of digital controllers; disturbance models, pole placement design based on I/O models, optimal design based on state-space approach; self tuning control; predictive control. Simulation studies using CAD tools.

EE 662 Electromagnetic Wave Propagation (3+0+0) 3 ECTS 8
(Elektromanyetik Dalga Yayılımı)
Hertz potential. Plane waves in different media. Spectral representation of elementary sources. Field of a dipole in a stratified medium. Ground wave and ionospheric propagation. Scattering and absorption of a wave by a single particle.

EE 664 Antenna Theory (3+0+0) 3 ECTS 6
(Antenler Kuramı)
Radiation from a current distribution and a field distribution. Calculation of far field. Elementary dipole. Thin linear antennas, near and far fields. Impedance of antennas, self and mutual impedance. Directional properties of antennas, antenna arrays. Receiving antennas. Radiation from aperture, horns, reflectors and lenses. Special types of antennas.

EE 670 Adaptive Filter Theory (3+0+0) 3 ECTS 8
(Uyarlamalı Süzgeç Kuramı)
Study of the mathematical theory of various realizations of linear filters. Detailed study of linear optimum filtering, namely Wiener filtering, linear prediction, and Kalman filtering. FIR structures versus lattice filter structures. Method of least squares, comparative study of steepest descent, least-mean sequare (LMS) and recursive least squares (RLS) filter design algorithms.

EE 671 Information Theory (3+0+0) 3 ECTS 8
(Bilişim Kuramı)
Information measures, characterization of information sources, coding for discrete sources. Discrete channel characterization, channel capacity. Introduction to waveform channels and rate distortion theory.

EE 673 Radar and Sonar Systems (3+0+0) 3 ECTS 8
(Radar ve Sonar Sistemleri)
Microwave propagation. CW, FM, MTI doppler and tracking radar. Radar transmitters and receivers and antennas. Underwater sound propagation. Sonar transmitter and receivers. Transducers. Array processing. Detection and processing of radar and sonar signals.

EE 675 Waves in Random Media (3+0+0) 3 ECTS 8
(Rasgele Ortamlarda Dalgalar)
The random medium and its statistical properties. The random field as a set or spectrum of plane waves. The mean field, power, field coherence, and the angular spectrum. Intensity fluctuations of the wave field. Single and multiple scattering theory of waves in stationary scatterers. Dyadic permittivity of the medium.

EE 676 Remote Sensing (3+0+0) 3 ECTS 8
(Uzaktan Algılama)
Basic operation and applications of radar. Antenna system in microwave remote sensing. Radiometry. Microwave interaction with atmospheric constituents. Radiometer systems. Active microwave sensing of land.

EE 677 Detection and Estimation Theory (3+0+0) 3 ECTS 8
(Sezim ve Kestirim Kuramı)
Classical statistical decision theory, decision criteria and composite hypothesis tests. Receiver operating characteristics and error probability, applications to radar and communications. Detection of signals with unknown and random parameters, detection of stochastic signals, nonparametric detection techniques. Introduction to signal design, ambiguity function, the uncertainty principle. Application to radar and sonar systems.
Prerequisite: EE 577, or consent of the instructor.

EE 680-689 Special Topics (3+0+0) 3 ECTS 8
(Özel Konular)
Study of the latest and current developments in the field of Electrical Engineering.

EE 690 M.S. Thesis ECTS 60
(Yüksek Lisans Tezi)

EE 691-694 Seminar (3+0+0) 3 ECTS 8
(Seminer)
Presentation and study of current research topics in computers, systems, communications, control, solid state.

EE 695-698 Special Topics (3+0+0) 3 ECTS 8
(Özel Konular)
Study of the latest and current developments in the field of Electrical Engineering.

EE 699 Guided Research (2+0+4) ECTS 10
(Yönlendirilmiş Araştırmalar)
Research in the field of Electrical and Electronics Engineering, by arrangement with members of the faculty; guidance of doctoral students towards the preparation and presentation of a research proposal.

EE 700 Graduate Seminar (0+1+0) 0 ECTS 1
(Lisansüstü Seminer)
Seminars offered by faculty, guest speakers and graduate students designed to widen students' perspectives on specific topics of interest and to expand their range of scientific research techniques and publication ethics.

EE 790 Ph.D. Thesis ECTS 120
(Doktora Tezi)