Electronic Engineering

All the graduates from the Electronic Science or the other disciplines satisfying the conditions designated by the Electronic Science program are accepted. The graduates from the other disciplines must have a B.S. degree.

Course Code	Course Name	Field
EL 500	MSc Thesis	Engineering
EL 501	Advanced Engineering Mathematics	Basic Science
EL 502	Theory of Functions of Complex Variables	Basic Science
EL 503	Random Signals and Statistical Signal Processing	Electronic
EL 510	Optimal Control Theory	Control
EL 511	Linear System Theory	Control
EL 512	Fuzzy Control	Control
EL 513	Numerical Optimization	Electronic
EL 520	Advanced Digital Signal Processing	Electronic
EL 521	Digital Speech Processing	Electronic
EL 530	Imaging Radar and Signal Proccessing	Communication
EL 531	Information Theory	Electronic
EL 532	CAD of Microwave Circuits	Communication
EL 533	Satellite Communication Systems	Communication
EL 534	Microvawe Radar Systems	Communication
EL 540	Image Processing and Applications	Electronic
EL 541	Machine Learning and Genetic Algorithms	Control
EL 542	Intelligent Systems	Control
EL 550	Modeling of Electronic Components	Electronic
EZ 501	Research Methods
EL 590	MSc. Seminar	Engineering
EL 600	Ph.D. Thesis	Engineering
EL 690	Ph.D. Seminar	Engineering

Program of research leading to MSc degree, arranged between student and a faculty member. Students register to this course in all semesters starting from the beginning of their third semester while the research program or write-up of thesis is in progress.

Differential equations, Power series, Legendre functions, Gamma functions, Singular integrals, Bessel functions, Laplace transforms, Quantitative methods and numerical solutions of differential equations, Boundary-value problems, Complex numbers and complex plane

Complex plane, Definitions of Metric and Limit, Functions on complex plane, Power function, Trigonometric function, Branch cuts, Differentiation and Integration on complex plane, Cauchy-Riemann equations, Cauchy theorem, Jordan theorem, Differentiation of regular functions, Residues, Summation of infinite series, Liouville theorem, Maximum absolute value theorem, Mean value theorem and Taylor series.

Random vectors, Discrete time stochastic processes; Gaussian-Markov discrete time models in the rational and state spaces; estimation: parameter estimation, Wiener and Levinson filters, Kalman filters: filtering and estimation, stability, adaptive filtering.

The optimal control problem, basic concepts and descriptions. Performance index, control variables and shortenings. Computing of variations. The principle of Pontryagin’s maximalise. The linear regulator problem. Minimum time, minimum control power and orbit tracking problem. The applications of the minimum time, minimum control power and orbit tracking problems.

System description and classification of systems. State space representation of systems. Linearization of nonlinear systems. Relations between state space representation and transfer function. Transfer matrix of multi input and multi output systems. Analysis of linear, time-invariant and varying systems, state transition matrix. Controllability. Stability of systems, Liapunov’s theory, stability analysis with Liapunov criteria.

Mathematics and control of fuzzy systems, Fuzzy Systems and their properties, Design of fuzzy systems from the input-output data, Adaptive and non-adaptive fuzzy control, Fuzzy relationship equatios, Fuzzy arithmetics, Fuzzy Linear programming and probability theorem.

Analytical and numerical aspects of finite dimensional optimization, Unconstrained and constrained problems, iterative solutions; steepest descent methods, linear programming, nonlinear programming and Kuhn-Tucker theory, dynamics programming and multi-variables optimization. Examples and computer implementations.

Discrete time signals and systems, Discrete time Fourier transform, Linear time-invariant systems, Sampling of continuous time signals, Variation of sampling rate, Interpolation, Decimation, Z-transform, Transform domain analysis of the linear time-invariant systems, Discrete time system structures, Discrete Fourier transform, Fast Fourier Transform and filter design methods

Digital signal processing techniques, applying analysis and synthesis of speech processing, Digital models for the speech signal. waveform coders. Time domain and frequency domain methods for speech processing, Linear Predictive coding of speech, man-machine communication by voice, speech decomposition, speaker decomposition.

Microwave imaging concept, theory of Synthetic Aperture Radar (SAR), Digital Signal Processing of frequency modulation pulse compression SAR systems, analysis of signal, image and noise, Inverse Synthetic Aperture Radar(ISAR) and image processing, three dimension imaging of uncoherent monopulse radar, two dimension range and cross-range imaging of rotation objects, iterative imaging formation methods, resolution, aperture synthesize, power requirement and fading ststistics, phase and motion errors, ambiguity functions and optimum design criteria, multi polarization SAR, SAR simulation.

Enformation concept. Entropy; Mutual and constraint entropies. Source coding. Unique and immediate codes. Coding theory. Optimum Hoffman coding. Communication channel models. Analog channels and measuring of information. Continuous time Gauss channels. Channel capacity and measurement methods. Channel coding. Noise coding theory which senses and corrects the errors. Porite codes. Periodic codes. BCH and convolution codes. Codind and decoding designs.

Principles of CAD of microwave circuits, matrix representations of microwave circuits, scattering matrices, transistor amplifiers at microwave frequencies and oscillator design, mixers, noise, directional couplers, power splitters and phase shifters.

Satellite orbits, Satellite system structure, and communication sub-systems, Communication techniques: multiplexing, modulation and coding. Link analysis, Groud station technologies, properties of satellite communication systems.

Introduction to Radar, properties of radar systems, radar range equations, transmitters, receivers and antennas, trends on signal wave shape design, signal processing techniques, noise and clutter, pulse compression, propagation, SAR, CW and FM radars, Pulsed Doppler radar, remote sensing radar and laser radar.

Two-Dimensional filter design; 2-D Z-transform and discrete time Fourier transform, edge detection and subroutines, image enhancement, image recognation, image coding, image analysis of 2-D signals.

Basic concepts. Representation of information. Transformations among the data representation. Feature extraction of methods on 2-D and 3-D objects. Learning of the machine via searching and classification methods. Neural network algorithms. Genetic algorithms. Selection, production, crossover and mutation. Shannon theorem. Genetic algorithm operators and techniques. Genetic learning.

Fuzzy logic, fuzzy sets, operations on fuzzy sets, fuzzy control, neural networks, mathematical modelling of neurons, classification methods, least squares method, error backpropagation method, neural networks with Gauss central basis function, definition of fuzzy image, fuzzy classification

Necessity of the modelling, CAD modelling, diode modelling, BJT models, EMI models, improved EM models, Gummel Poon model, JFET and MOSFET models, determination of model parameters, measurement methods, applying models to CAD.

It is aimed to improve the students’ ability of thinking and studying scientifically and make them able to use the scientific method by staying away from every sort of prejudice at their studies and researches by this lesson. Method information, which will be able to carry on a research in scientific discipline and reach the conclusion, is given with this aim. Within this scope; the subjects, Information and Its Source, Definition of Science, Its Function and Sorts, Definition of Scientific Method and Its Basic Qualities, Definition of Research, Its Sorts and Qualities, Research Proposal and Report Preparation are discussed. Research subject is also examined in details and studied under the title of The Process and The Techniques of The Research as Introduction, Method, Findings and Interpretation, Abstract, Judgement and Proposals. In the Introduction part; Problem, Objective, Importance, Hypothesis, Restraint and Definitions, in the Method part; Research Model, Universe and Sample, Data and Their Collection, Handling, Solution and Interpretation of Data take place. In a research, content of Findings and Interpretation, Abstract, Judgement and Proposals and ‘how they should be written’ are discussed. Forming Bibliography, Indicating Bibliography, Techniques of Quotation are studied. Discussion of a Research Proposal and a Thesis Proposal which will be prepared by the students. In a scientific article, Title, Authors and their Addresses, Introduction, Short Summary, Material and Method, Conclusions, Writing of Acknowledgement, Forming of the Bibliography and Attribution to the Resources are discussed. How Scanning/Evaluation Article will be written is studied.

Presentation involving current research given by graduate students and invited speakers in the aim of increasing the interests of the other students about different subjects of electronics. This course is obligatory for the graduate students.

Program of research leading to Ph.D. degree arranged between the student and a faculty member. Students register to this course in all semesters starting from the beginning of their fifth semester while the research program or write-up of thesis is in progress.

To increase the interest of the students for studying in different fields of electronic science. Ph.D. students have to take this course and to fulfill their requirements.