Electrical and Electronic Engineering

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Academic Staff

Name Subject
Assist. Prof. Dr. Ali SERENER Telecommunications; error-correcting codes; wireless communications
Prof. Dr. Fahreddin M. SADIKOĞLU Signal processing; signal transmission; computational intelligence
Prof. Dr. Şenol İ. BEKTAŞ Gas insulation;Solid/gas interface;Charge density measurements;Numerical analysis of electrical fields
Assist. Prof .Dr. Hüseyin HACI Wireless communications; signal processing; software engineering; assisted living.
Assist. Prof. Dr. Kamil DİMİLİLER Digital image processing; medical imaging; artificial neural networks; pattern recognition.
Assist. Prof. Dr. Sertan KAYMAK Image processing; pattern recognition; machine learning; computer vision.
Assist. Prof. Dr. Refet RAMİZ Electromagnetics & Wireless Communication; Philosophy; Science and Administration; Science and Ideology; Science and Religion;
Dr. Umar ÖZGÜNALP Image processing; intelligent vehicles; stereo vision; pattern recognition.
Prof. Dr. Sezai DİNÇER High Voltage Engineering; Insulation Design of Gas Insulated Systems; Load Break Switches; Circuit Breakers.
Assoc. Prof. Dr. M. Timur AYDEMİR Power Electronics; Drive Systems; Renewable Energy Sources.
Teaching Assistants

Cemal KAVALCIOĞLU Wireless Communication – Wireless Telemedicine Systems  – Digital Signal Processing – Biomedical Signal Processing
Mehmet YENEN High Voltage Insulation-Power Electronic-Renewable Energy-Motor Drive
Samuel NII TACKIE Renewable energy, power electronics, electric cars, artificial intelligence
Berk DAĞMAN Digital Signal Processing – Biomedical Signal Processing
Halil FİKRETLER Renewable energy
Khalid M. AHMED High Voltage Engineering; Circuit Breakers; High Voltage Protection System; Artificial Intelligent systems.
Güner ÜRÜN Power Electronics
Fatoş Zafersoy Telecommunications

Administrative Staff

Name Subject

Meryem PAŞA

Dean’s Office Coordinator
Executive Secretary of Dean
+90 (392) 444 0 YDU / 291
[email protected]
Program Objective:

  • To assist graduate students in developing skills for scientific research
  • To help graduate students develop leadership skills necessary for managing engineering projects
  • To provide graduate students skills for development of solutions to electrical engineering problems

Learning outcomes of the Master’s degree program:

  • Ability to apply fundamental knowledge of science and electrical engineering.
  • Ability to identify, formulate and solve complex electrical engineering problems.
  • Ability to design and conduct experiments related to electrical engineering, as well as to analyze and interpret data.
  • Be able to design a complex system, component, or process to meet desired needs within realistic constraints.
  • Be able to develop solutions that meet the desired needs within the economic, manufacturing and sustainability borders.
  • Be able to use the techniques, skills, and modern engineering tools necessary for electrical engineering practice and research.
  • Be able to function and communicate effectively in multidisciplinary teams.

Graduation Requirements:
Final examinations of graduate courses will be assessed over 100 (one hundred) full points by the faculty member(s) carrying out the exam. In order to pass the final exam, master’s students must earn a minimum score of 70 (seventy), and doctoral students a minimum score of 80 (eighty) out of 100 (one hundred) points.

Cumulative grade point average must be 80 (eighty) over 100 (one hundred) or 3.00 (three) over 4.00 (four) to earn a master’s or doctoral degree.

GRADUATE EDUCATION REGULATIONS

COURSES

First Year

First Year, Fall Semester (9/9 credits, 30/30 ECTS)
Course Code Course Name Credit ECTS Prerequisite
EE 5xx Elective Course 3 10 Graduate Standing
EE 5xx Elective Course 3 10 Graduate Standing
EE 5xx Elective Course 3 10 Graduate Standing
First Year, Spring Semester(9/18 credits, 30/60 ECTS)
Course Code Course Name Credit ECTS Prerequisite
EE 5xx Elective Course 3 10 Graduate Standing
EE 5xx Elective Course 3 10 Graduate Standing
EE 5xx Elective Course 3 10 Graduate Standing

Second Year

Second Year, Fall Semester(3/21 credits, 35/95 ECTS)
Course Code Course Name Credit ECTS Prerequisite
EE 500 Master’s Thesis 25
EE 5xx Elective Course 3 10 Graduate Standing
Second Year, Spring Semester(0/21 credits, 56/126 ECTS)
Course Code Course Name Credit ECTS Prerequisite
EE 500 Master’s Thesis 25
EE 535 Master’s Seminar 6
Embedded Systems and Control
Course Code Course Name T Credit ECTS
EE 501 Linear System Theory 4 3 10
EE 508 Artificial Neural Networks 4 3 10
EE 511 Artificial Intelligence 4 3 10
EE 515 VLSI Design 4 3 10
EE 516 Integrated Sensors and Sensing Systems 4 3 10
EE 517 Process Control Instrumentation Technology 4 3 10
EE 518 Optimal and Adaptive Control 4 3 10
EE 519 Fuzzy Systems 4 3 10
EE 522 Intelligent Control 4 3 10
EE 523 Robotics Systems 4 3 10
EE 528 Advanced Microprocessor 4 3 10
EE 530  Mechatronics 4 3 10
EE 532 Pattern Recognition 4 3 10
EE 540 Expert Systems 4 3 10
Communications, Signal Processing and Networking
Course Code Course Name T Credit ECTS
EE 502 Random Variables and Stochastic Processes 4 3 10
EE 503 Advanced Digital Signal Processing 4 3 10
EE 504 Wireless & Personal Communication Systems 4 3 10
EE 505 Information Theory and Coding 4 3 10
EE 506 Advanced Data Communications 4 3 10
EE 507 Computer Networks and Internet 4 3 10
EE 509 Speech Processing  4  3 10
EE 510 Image Processing 4 3 10
EE 512 Electromagnetic Wave Propagation 4 3 10
EE 514 Radar Systems 4 3 10
EE 520 Optimization 4 3 10
EE 521 Estimation Theory 4 3 10
EE 529 Data Communication and Networking 4 3 10
EE 538 Telecommunication Networks 4 3 10
Power Systems
Course Code Course Name T Credit ECTS
EE 513 Operation and Maintenance of Power Systems 4 3 10
EE 524 Advanced Static Power Conversion 4 3 10
EE 525 Theory and Design of Electrical Machines 4 3 10
EE 526 Power Electronics 4 3 10
EE 527 Advanced High Voltage Techniques 4 3 10
EE 531 Flexible AC Transmission Systems 4 3 10
EE 533 Electricity Outages and Load Management 4 3 10
EE 541 Advanced Symmetrical Components and Rotating Field Theory 4 3 10
EE 572 HighVoltage Insulation Coordination 4 3 10

 

Course Descriptions
* T/P/L: Theory/Practice/Laboratory


EE 501 Linear System Theory, 3 credits,  3 credits, 10 ECTS
Mathematical modeling of linear systems. Time invariant systems. Lyapunov theory. Decomposition of Kalman. Controllability and observability of composite systems. Controller and observer design. Pole-placement design. Problems using Matlab.
TOP

EE 502 – Random Variables and Stochastic Processes, 3 credits,  10 ECTS
Stochastic properties of random signals. Stationary and nonstationary process. Ergodic process. Correlation function and spectrum of random signals. Guassian process. Noise calculations. Markov chains. Linear and Kalman filtering. Problems using Matlab.
TOP

EE 503 Advanced Digital Signal Processing,  3 credits, 10 ECTS
This course covers digital processing of the continuous time signals. Discrete Fourier transforms. Fast-Fourier transform. FIR and IIR filters design. Limit cycles. Adaptive filtering. Adaptive digital filters in communication. Adaptive line enhancement and equalization. Adaptive delta and differential pulse code modulations. Problems using Matlab.
TOP

EE 504 Wireless & Personal Communication Systems,  3 credits, 10 ECTS
This course covers Cellular communication concepts. Roaming. Cells splitting. Access technology. FDMA, TDMA and CDMA. Radio interface. Spread spectrum techniques. Up-link and down-link. Architecture of mobile switching center. Mobile and base stations call processing. Authentication. Encryption and information security. North American, Japanese and European cellular systems. Iridium-66 and globstar-48 systems. Laboratory experiments
TOP

EE 505 Information Theory and Coding,  3 credits, 10 ECTS
This course covers intermediate to advanced information theory and channel coding topics. Topics covered include fundamentals of channel coding as well as powerful error-correcting codes such as low-density parity-check codes and turbo codes.
TOP

EE 506 – Advanced Data Communications, 3 credits,  10 ECTS
Introduction to data communications. Equalizing. Carrier and bit synchronization. Error detection and correction standards. Data compression. Integrated switched digital network ISDN. Architecture. Protocols. Broadband ISDN. Frame relay. Protocol, services, congestion control. Asynchronous transfer mode ATM. Protocols, traffic and congestion control.
TOP

EE 507 – Computer Networks and Internet, 3 credits,  10 ECTS
Paket transmission. LAN topology. Hardware addressing and frame type identification. Fiber modems, repeaters, bridgers, and switches. WAN technology and routing.Network performane characteristics. Protocols and layering. Internetworking. Architecture and protocols. TCP/IP protocols. Encapsulation, fragmentation and reassembling. Error reporting mechanism. Packet loss and adaptive retransmission. Reliable transport servises. File transfer and remote file access. WWW pages and browsing. GGI technology. Network security and encryption techniques.
TOP

EE 508 Artificial Neural Networks, 3 credits, 10 ECTS
This course explores the organization of synaptic connectivity as the basis of neural computation and learning.  Perceptrons and dynamical theories of recurrent networks including amplifiers, attractors, and hybrid computation are covered. Additional topics include backpropagation and Hebbian learning, as well as models of perception, motor control, memory, and neural development.
TOP

EE 509 – Speech Processing, 3 credits, 10  ECTS
Speech modeling. Speech acquisition, sampling and quantizing techniques. Speech analysis. Speech coding. Linear predictive code. Adaptive predictive coding. Adaptive quantizer. LMS algorithm. Speech interpolation. Speech compression. Speech and speaker recognitions. Speech enhancement. Problems using Matlab. Laboratory Experiments.
TOP

EE 510 Advanced Image Processing, 3 credits, 10 ECTS
Image modeling. Two-dimensional signal analysis. Image processing techniques. Image enhancement. Image compression. Image manipulations. Image recognition. Region extractions and edge detections. Problems using C++ and Matlab. Laboratory Experiments.
TOP

EE 511 – Artificial Intelligence, 3 credits, 10  ECTS
Main characteristics of artificial intelligence systems (AIS). Classifications. Knowledge representations and acquisitions. Inference engine. Searching mechanism. Expert systems. Parallel and distributed AIS. Uncertainty knowledge and decision making. Learning, neural network. AIS application in control and communication systems. Problems using Prolog, C++ and Matlab.
TOP

EE 512 Electromagnetic Wave Propagation, 3 credits, 10 ECTS
Fundamental Concepts and Theorems; Maxwell Equations; Electromagnetic Waves;Classifications of Waves; Guided Waves;Ground wave propagation;-Plane-earth reflection,-Plane-earth reflection,-Space wave,-Surface wave,-Elevated dipole antenna above a plane earth,-Wave tilt of the surface wave,-Spherical earth propagation,-Tropospheric waves,Ionospheric Propagation;-The ionosphere,-Effective permittivity and conductivity of an ionised gas,-Reflection and refraction waves by the ionosphere,-Attenuation factor for ionospheric propagtion,-Sky-wave trnasmission calculations,-Effect of the earth’s magnetic field,-Wave propoagtion in the ionosphere,
TOP

EE 514 – Radar Systems, 3 credits, 10  ECTS
General design principles and performance evaluation of pulsed radars. Statistical detection theory and radar cross-section of targets. CW, FM and Doppler radars. Target tracking radars. Radar receiver design. High power microwave generation and amplification; Radar antennas. Detection of radar signals in noise and waveform design. Propagation of radar wave.
TOP

EE 515 – VLSI Design, 3 credits, 10 ECTS
Practical considerations. Technology. Device modeling. Circuit simulation. Basic integrated circuit building blocks. Amplifiers. Operational amplifiers. Digital circuits. Analog systems: analog signal processing, digital-to-analog converters, analog-to-digital converters, filters. Analog signal processing circuits: modulators, multipliers, oscillators, phase-locked loops. Structured digital circuits and systems. Laboratory Experiments.
TOP

EE 516 – Integrated Sensors and Sensing Systems, 3 credits, 10 ECTS
Semiconductor diodes. Diode applications: switching, rectification, clippers and clampers. DC power supplies. The theory of BJT operation, CB, CE and CC configurations. BJT bias circuits. FET operation and biasing. Small signal BJT and FET analysis using re- and h-parameters. Amplifier frequency response.
TOP

EE 517 – Process Control Instrumentation Technology, 3 credits, 10  ECTS
Process control characteristics. Analog and digital signals conditioning. Thermal, mechanical, optical sensors and design considerations. Final control. Discrete-state process control. Controller principles. Controllers. Control loop characteristics. Industrial control networks. Servomotor technology in motion control systems. Robots.
TOP

EE 518 – Optimal and Adaptive Control, 3 credits, 10  ECTS
Fuzzy sets. Representation and properties of fuzzy sets. Fuzzy relations and functions. Fuzzy arithmetic. Fuzzy modeling. Decision making in fuzzy conditions. Fuzzy control systems. Design examples. Computer simulations of fuzzy systems. Problems using C++ and Matlab.
TOP

EE 519 – Fuzzy Systems, 3 credits, 10  ECTS
Mathematical modeling of linear systems. Time invariant systems. Lyapunov theory. Decomposition of Kalman. Controllability and observability of composite systems. Controller and observer design. Pole-placement design. Problems using Matlab.
TOP

EE 520 – Optimization, 3 credits,  10 ECTS
Review of probability and stochastic processes. Gauss-Markov process and stochastic differential equations. Bayesian estimation theory. Maximum likelihood, linear minimum variance and Least-mean square estimations. Properties of estimators; error analysis. State estimation for linear systems. Kalman and Wiener filters. Smoothing and prediction. Nonlinear estimation. Realizations of filters.
TOP

EE 521 – Estimation Theory, 3 credits, 10  ECTS
Uncertainty models and information representation: types of uncertainties and uncertainty measures. Intelligent control methodologies: learning control, fuzzy control, neurocontrol.
TOP

EE 522 – Intelligent Control, 3 credits, 10  ECTS
Evolution of robots, elements of robotic systems, mathematics of manipulators. Homogeneous transformations, end effectors position and orientation. Kinematics of robotic systems. Manipulator dynamics. Tree-structured manipulators. Multiple manipulators. Leading robot hands. Hand gross motion control. Obstacle avoidance techniques. Collision free wrist path planning. Hand preshape analysis. Grasp planning. Contact analysis. Hand fine motion control. Manipulability and stability of robotic systems.
TOP

EE 523 – Robotics Systems, 3 credits, 10  ECTS
Overloaded modes of operation of rectifiers, characteristics. Reactive power and harmonics in ac-dc converters, cascade use of converters. Commutation techniques in inverters; McMurray circuit and its modified forms. Voltage control and harmonic elimination. ASCII inverters. Chopper structures. Improving the performance and optimization of circuit elements.
TOP

EE 524 Advanced Static Power Conversion, 3 credits, 10 ECTS
Overloaded modes of operation of rectifiers, characteristics. Reactive power and harmonics in ac-dc converters, cascade use of converters. Commutation techniques in inverters; McMurray circuit and its modified forms. Voltage control and harmonic elimination. ASCII inverters. Chopper structures. Improving the performance and optimization of circuit elements.
TOP

EE 525 – Theory and Design of Electrical Machines, 3 credits, 10  ECTS
Generalized machine concept. Matrix equation of electrical machines. Measurement of machine parameters. Steady state, transient, balanced and unbalanced operations. Approximate models of electrical machines. Induction machine. Classification, design principles, electric and magnetic loading, determination of dimensions, selection of slot numbers, reduction of parasitic torques, windings, calculation of parameters. Synchronous machine design. Transformer design.
TOP

EE 526 Power Electronics, 3 credits, 10 ECTS
Advanced power electronic converters, techniques for modeling switching circuits, resonant and multi-level converters, Pulse-Width-Modulation (PWM) techniques, soft switching methods, low-voltage high-current design, Multi-phase, controlled and uncontrolled rectifiers and inverters with various operating techniques and their design and control, Includes extensive computer-aided circuit simulation and power supply control.
TOP

EE 527 – Advanced High Voltage Techniques, 3 credits, 10  ECTS
Insulation principles in HV equipment. Mechanism of lightning discharges and over voltages generated in HV systems. Mechanism of corona discharges and corona loss calculations. Electromagnetic interference generated by HV systems. Pollution flashover problem of HV insulators. Construction and operational principles of over voltage limiting devices, high voltage insulators, bushings and circuit breakers. Insulation design of high voltage transformers, cables and capacitors. Testing of HV equipment.
TOP

EE 528 – Advanced Symmetrical Components and Rotating Field Theory, 3 credits, 10 ECTS
Unbalanced voltage. Current Systems. Unbalanced impedances. Rotating field with space and time harmonics. Induced emf between clip rings. Induced emf between stationary and rotating brushes.
TOP

EE 529 – Expert Systems, 3 credits, 10  ECTS
The evaluation of artificial intelligence systems. Decision making. Expert System (ES) characteristics. Architecture of ES. Hybrid ES. Knowledge representation in ES. Representation of knowledge by Object-attribute value triplets, Semantic networks, Frames, Logic programming, Neural networks, Production rules. Inference engine, forward and backward chaining mechanisms. Knowledge acquisition. Uncertainty, fuzzy ES. ES shells. Application of ES for solving different problems.
TOP

EE 530 – Mechatronics, 3 credits, 10  ECTS
Mathematical modeling of linear systems. Time invariant systems. Lyapunov theory. Decomposition of Kalman. Controllability and observability of composite systems. Controller and observer design. Pole-placement design. Problems using Matlab. Introduction to Mechatronics systems. Electric circuits and components. Microcontroller programming and interfacing. Data Acquisition, Quantising theory, A-D converters, D-A converters. Sensors and Actuators. Mechatronic systems-control architectures and case studies.
TOP

EE 531 Flexible AC Transmission Systems, 3 credits, 10 ECTS
Flow of power in AC systems.Transmission problems and the emergence of FACTS. FACTS controllers; definitions and description of basic controllers.Objectives of shunt compensation. Methods of controllable Var Generation. Static Var Compensators; SVC and STATCOM. Comparison between STATCOM and SVC.Objectives of series compensation. Variable impedance and Switching converter type series compensators; GCSC, TCSC, TSSC, SSSC. Unified Power Flow controllers(UPFC), Interline Power Flow Controllers(IPFC) Application of power electronics equipment for power system performance enhancement. Modelling of  FACTS equipment. Application examples
TOP

EE 532 Pattern Recognition, 3 credits, 10 ECTS
This class deals with the fundamentals of characterizing and recognizing patterns and features of interest in numerical data. We discuss the basic tools and theory for signal understanding problems with applications to user modeling, affect recognition, speech recognition and understanding, computer vision, physiological analysis, and more. We also cover decision theory, statistical classification, maximum likelihood and Bayesian estimation, nonparametric methods, unsupervised learning and clustering. Additional topics on machine and human learning from active research are also talked about in the class.
TOP

EE 538 Telecommunication Networks, 3 credits, 10 ECTS
Proper design and operation of efficient communication networks is becoming more important as the digital telecommunication services of today are constantly growing. This course provides an introduction to communication networks. Specific topics to be covered include layered network architectures, error recovery and retransmission (ARQ), medium access control, routing and addressing, resource allocation and quality of service (QoS).
TOP

Meryem PAŞA

Dean’s Office Coordinator
Executive Secretary of Dean
+90 (392) 444 0 YDU / 291
[email protected]