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Contents of Graduate Courses:
EL 500 Master of Science Theses: Program of research leading to M.Sc. 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.
EL 502 Theory of Functions of Complex Variables: 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.
EL 503 Random Signals and Statistical Signal Processing: 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.
EL 510 Optimal Control Theory: 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.
EL 511 Linear System Theory: 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.
EL 512 Fuzzy Control: 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 equations, Fuzzy arithmetics, Fuzzy Linear programming and probability theorem.
EL 513 Numerical Optimization: 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.
EL 520 Advanced Digital Signal Processing: 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.
EL 521 Digital Speech Processing: 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.
EL 522 Numerical Image Processing : To demonstrate to the students the numeric showing of images, application of basic mathematical processes to the images and the image improvement by mathematical processes. After creation of image and the term numerical image, histogram term and improvement of image by histograms and contrast correction process is told. Afterwards two major subjects are being held. First starting with spatial domain, neighboring calculations and folding methods of image processing are told. Then fourier transform subject is started. Fourier transform subject is discussed with various examples by sparing enough time. Bringing front the folding process, the equality of two environments will be emphasized. Image improvement, filtering, rotation, similar applications is showed and discussed weighted on transformation environment. For this purpose, ideal Gaussian, Butterworth, mean, median and adaptive filters and different noise type and degeneration models are taught. As the last subject of the term color and properties of color images is taken into consideration. Computer programming homework is assigned in order to have students learn subjects via application. Developed students programs are presented as reports, controlled and applied individually with examples.
EL 530 Imaging Radar and Signal Proccessing: 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.
EL 531 Information Theory: Information 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.
EL 532 CAD of Microwave Circuits: 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. EL 533 Satellite Communication Systems: Satellite orbits, Satellite system structure, and communication sub-systems, Communication techniques: multiplexing, modulation and coding. Link analysis, Ground station technologies, properties of satellite communication systems.EL 534 Microwave Radar 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.
EL 535 Radar Systems: By giving properties of signals used in radar, properties of radar and systems, radar cross section, propagation, radar equation, continuous wave radar, moving target radars, surveillance radar, artificial array radars, and application examples targets to get knowledge about radars.
EL 540 Image Processing and Applications: Two-Dimensional filter design; 2-D Z-transform and discrete time Fourier transform, edge detection and subroutines, image enhancement, image recognition, image coding, image analysis of 2-D signals.EL 541 Machine Learning and Genetic Algorithms: 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.
EL 542 Intelligent Systems: Fuzzy logic, fuzzy sets, operations on fuzzy sets, fuzzy control, neural networks, mathematical modeling of neurons, classification methods, least squares method, error back propagation method, neural networks with Gauss central basis function, definition of fuzzy image, fuzzy classification
EL 550 Modeling of Electronic Components: Necessity of the modeling, CAD modeling, diode modeling, BJT models, EMI models, improved EM models, Gummel Poon model, JFET and MOSFET models, determination of model parameters, measurement methods, applying models to CAD.
EL 555 Optical Networks: This course will provide students with a fundamental understanding of optical network design, control, and management. The topics which will be covered in this course include: Optical network design, optical network modeling, routing and wavelength assignment algorithms, optical network simulation tools and techniques.
EL 590 Graduate Seminar: 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.
EL 591 M.Sc. Specialization Field Course: Investigation on study fields and developments on these study fields of all students, under the supervision of an advisor, who are progressing their M.Sc. thesis.
EL 600 Ph.D. Thesis: 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.
EL 615 Radio Wave Communication Systems: In this course; it is targetted to give required knowledge to the students to perform theory and application on Radio Wave Communication Systems.
EL 690 Ph.D. Seminar: 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.
EL 691 Ph.D. Specialization Field Course: Investigation on study fields and developments on these study fields of all students, under the supervision of an advisor, who are progressing their Ph.D. thesis.
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|BİLGİSAYAR MÜH.A.B.D.|ELEKTRONİK MÜH. A.B.D.|ENDÜSTRİ MÜH.A.B.D.| |HAVACILIK MÜH.A.B.D.|UZAY BİLİMLERİ A.B.D.| |GENEL BİLGİLER|PERSONEL|SEMİNERLER|BAŞVURU KOŞULLARI|HUTEN'DE YAŞAM| |