Algorithm effectiveness. Graph algorithms. Shortest path algorithm. Random algorithms. Parallel algorithms. Computational complexity, NP-full and NP-Hard problems. Metaheuristic algorithms.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
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Prerequisite: None
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Mathematical Fundamentals, basic cryptologic techniques, crypto analysis, elliptic curve cryptology, quantum cryptology.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
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Prerequisite: None
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Introduction to data structures and programming, pointers and arrays, dynamic memory management, object oriented design, linked lists, stacks, queues, Recursion as a Problem-Solving Technique, trees, binary search trees, sets, maps, heaps, priority queues, graphs.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
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Prerequisite: None
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Communication between processes, synchronization and election. Distributed negotiation, transaction and copied data. Introduction to parallel and distributed computing systems and basic concepts. Synchronization mechanisms. Deadlocks. Basics of distributed operating systems, Unix based multi-processing operating systems, semaphores, ADA contacts, transporters, Multi processors and task planning for distributed database systems.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
|
Prerequisite: None
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Artificial neural networks ? multi layered sensors. Artificial neural networks ? radial based functions. Artificial neural networks ? Kohonen neural networks. Artificial neural networks ? applications of artificial neural networks. Artificial neural networks ? artificial neural networks project.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
|
Prerequisite: None
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Computer architecture performance, command set design, pipeline, command level similarity, memory systems, cache design and analysis, storage systems, inter-connected networks, multi processors architecture and embedded systems.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
|
Prerequisite: None
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Internet protocols, interior routing protocols, shortest open path algorithm, exterior routing protocols, multiprotocol label switching, IP multicast, ad-hoc internet structures, QoS routing.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
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Introduction to network security, problems, DES, 3DES, AES, RSA, diffie-hellman, MD-5, SHA-1, digital signatures, network security standards. Secure electronic mail (PGP), S-MIME, SSL, TLS, IPSec.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
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Prerequisite: None
|
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Introduction to artificial intelligence, problem solving, search, intuitivity, planning, expert systems, nerve networks, robotic applications, natural language processing, LISP, PROLOG and artificial intelligence applications.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
|
Prerequisite: None
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Dynamic programming, matrix hypothesis and modeling with matrices, variable transformation and its applications at multivariate functions, non-linear and linear model proposition and its applications, stochastic models, introduction to Markov chains, queue models and its applications, introduction to multivariate statistical analysis, simulation models and its applications, other chosen modeling subjects.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
|
Prerequisite: None
|
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Introduction, imaging systems, image processing techniques, image restoration, noise removal, segmentation, edge detection algorithms, corner detection algorithms, motion detection and motion tracking, feature detection and matching, camera calibration, geometric transformations, parameter estimation and RANSAC algorithm, stereo vision, object recognition.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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Microwave propagation; microwave communication systems; transmission lines and waveguides; microstrip resonators and filters; microwave hybrid circuits; directional couplers; power combiners and dividers; microwaves semiconductors devices (diodes and transistors); microwave tubes (klystrons, magnetrons, traveling wave tubes)
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 4
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Prerequisite: None
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Introduction to discrete time control systems. Quantization and coding in digital control systems. Data acquisition, data conversion and data distribution systems. Shannon sampling theorem and types of sampling. z-transform and z-domain analysis. Time domain criterion and analysis methods. Steady state error analysis for continues time data systems. Constant damping factor and its curves. Effect of additional zero and poleon open loop transfer functions. Nyquist stability criteria. Bode diagrams. Serial compensation methods. Digital PID controller and its implementation. State space analysis and synthesis. Phase variable canonic type and its properties. Observability and controllability in state space.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
|
Prerequisite: None
|
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Radar equation and system parameters, components of radar system, RCS and target characteristics, continuous wave radar, frequency modulated CW radar, MTI and pulsed Doppler radar, radar signal detection, wave forms, radar ambiguity function, radar measurements and applications.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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Review of basic concepts in communication Networks. Medium Access control sublayer and multiple Access methods. Internet control protocols. Mobile Internet protocols in IPv4 and IPv6; and their performances. Network congestion algorithms. Quality of service (QoS). Multi protocol label switching (MPLS). Network performance. Internetworking.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
|
Prerequisite: None
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Introduction to estimation theory. Classical estimation (Deterministic parameter): Cramer-Rao lower bound, minimum variance unbiased estimation, least squares estimation, maximum likelihood estimation. Bayesian estimation (Random parameter): Minimum mean square estimation, maximum a posteriori estimation. Optimal filtering: Wiener filtering, Kalman filtering. Applications: Emitter location and communication systems.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
|
Prerequisite: None
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Lectures: 3 h
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Tutorial: 0 h
|
Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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Introduction to crystal properties and its types. Growth of semiconductors. Atoms and electrons. Energy bands and charge carriers in semiconductors. Intrinsic semiconductors, carrier transport, excess carriers. Junction concept and formation of junctions. Field effect and bipolar transistors and their physical operation principle, heterojunction structures, investigation of HBTs and HEMT, introduction to photonic devices.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
|
Prerequisite: None
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Classification of electromagnetic field problems, types of second order linear partial differential equations, types of boundary conditions, initial and boundary value problems, methods for electromagnetic field analysis and Finite Element Method. Variational methods, Rayleigh-Ritz and Galerkin methods, computations of Laplace and Poisson types electrical and magnetic field problems using finite element method, axially symmetrical problems, time dependent problems, numerical solution of finite element equations
Lectures: 3 h
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Tutorial: 0 h
|
Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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Introduction: Senses, Classification of sensors, Calibration. Physical principles of sensing: Electric charge, electric field and electric potential, capacitance, magnetism, induction, resistivity, piezoelectric effect, pyroelectric effect, Hall-effect, thermoelectric effect, acoustic waves, temperature and thermal properties of materials. Occupancy and motion sensors; Position, displacement and level sensors; Velocity and acceleration sensors; Force, strain and tactile sensors; Pressure sensors; Flow sensors; Acoustic sensors; Humidity and moisture sensors; Radiation detectors; Temperature sensors: Thermo-resistive (PTCR), thermoelectric (thermocouple), temperature sensing by semiconductors, optical, acoustic and piezoelectric effects; Chemical sensors: biochemical sensors; electronic nose and tongue; Sensors materials and processing technologies.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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Small-geometry MOSFETs. D.C. and switching characteristics of inverters (review and design). Combinational MOS logic circuits, design criteria for CMOS NAND and NOR gates. Transmission gate logic. Bistable logic elements . Schmitt trigger circuits. Design of synchronous NMOS and synchronous CMOS logic, Dynamik logic. Programmable logic arrays and memories. Electrical characteristics, architecture, design methods and examples, simulation andcomputer aided design of MOS digital integrated circuits.
Lectures: 3 h
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Tutorial: 0 h
|
Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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The principles of renewable energies, the importance of solar energy as renewable energy, the academic and industrial situation in solar energy technologies, the working principle of solar cells, the characterization of solar cells, the construction of various solar cells, the design and production methods of solar cells, the production of solar modules and panels, to be achieved by the grid-connected solar panel system design.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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Meaning, importance and aim of the research. Types of the research. Defining the research problem and approaches to the problems and their solutions. Design of the research. Sampling design. Measurement techniques. Data collecting techniques. Analysis of data. Presentation and preparation of research document. Ethic.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
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ECTS Credits: 7.5
|
Prerequisite: None
|
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A postgraduate student prepares a report and gives a seminar on one or more of the activities such as: A comprehensive literature survey on a subject; presentation of importance and application areas or problems of a special subject, comparison of solution methods related to problem of a special subject.
Lectures: 0 h
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Tutorial: 1 h
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Credits: 0
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ECTS Credits: 7.5
|
Prerequisite: None
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Each student, under the supervision of the advisor, prepares a thesis relavent to his study field, and wites the thesis with respect to the thesis writing procedure defined by the institute.
Lectures: 0 h
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Tutorial: 0 h
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Credits: 0
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ECTS Credits: 30
|
Prerequisite: None
|
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Microwave Circuits Five Systems
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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The geometry of linear optimization, simplex method, duality, revised simplex, dual simplex, parametric linear programming, sensitivity analysis, degeneracy, pivoting rules and modern applications of simplex method, simplex method for the variables having upper bound, decomposition principle, primal-dual algorithms, complexity.
Lectures: 3 h
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Tutorial: 0 h
|
Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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Simulation methodology and benchmarking with other techniques, system simulation of discrete events, input analysis and the determination of distributions, random number generation, output analysis in simulation, variance reduction techniques, simulation optimization.
Lectures: 3 h
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Tutorial: 0 h
|
Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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Strategic management techniques, formulation, conducting and assessment of activities which are required for an organization to reach its objectives, strategic selection and decision making, strategic application process structure and planning models, revision, assessment and control of strategie
Lectures: 3 h
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Tutorial: 0 h
|
Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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Statistical quality control basic concepts and techniques, total quality and quality management, quality assurance system analysis and design, international quality certifications, reliability and experiment designs.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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Theory and application of advanced engineering economy, equivalence, finance, financial definitions and analysis, project evaluation, profits and behaviors under risk, stochastic analysis.
Lectures: 3 h
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Tutorial: 0 h
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Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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Lectures: 3 h
|
Tutorial: 0 h
|
Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
|
Lectures: 3 h
|
Tutorial: 0 h
|
Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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The axioms of probability, random variables, probability distributions, statistical decision theory, estimation, hypothesis testing, data analysis, regression and corelation, analysis of variance
Lectures: 3 h
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Tutorial: 0 h
|
Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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Vectors in space, matrices, linear equations, determinants, matrix inversion and Cramer's rule, eigenvalue, eigenvectors, first order linear and separable differential equations, higher order differential equations, Laplace transformation and solution of differential equations.
Lectures: 3 h
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Tutorial: 0 h
|
Credits: 3
|
ECTS Credits: 7.5
|
Prerequisite: None
|
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