Algorithm effectiveness. Graph algorithms. Shortest path algorithm. Random algorithms. Parallel algorithms. Computational complexity, NP-full and NP-Hard problems. Metaheuristic algorithms.

Mathematical Fundamentals, basic cryptologic techniques, crypto analysis, elliptic curve cryptology, quantum cryptology.

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.

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.

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.

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.

Mathematical model of an image. The frequency concept in an image and its frequency spectrum. Sampling of an image and conditions on sampling frequency. Separability in 2-D signals. Expansion of an image into Fourier series. The 2-D Fourier transform, The Fourier transform of separable images. The z-transform and transfer function. The linear operations applied to an image. Image segmentation. Image restoration. Image compression.

Internet protocols, interior routing protocols, shortest open path algorithm, exterior routing protocols, multiprotocol label switching, IP multicast, ad-hoc internet structures, QoS routing.

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.

Introduction to artificial intelligence, problem solving, search, intuitivity, planning, expert systems, nerve networks, robotic applications, natural language processing, LISP, PROLOG and artificial intelligence applications.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

Each student completes a project in his/her field of interest under the supervision of a lecturer, submits the project report in conformity with the rules of the Graduate School, and presents the project.

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.

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.

Management functions in project type production systems, stages and methods of production planning and management, project planning and control techniques (CPM, PERT etc.), time-cost analysis in project management and resource balancing problems.

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.

Theory and application of advanced engineering economy, equivalence, finance, financial definitions and analysis, project evaluation, profits and behaviors under risk, stochastic analysis.

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.

Introduction to information systems, input processing and management information systems, database management systems, tools used for system improvement, improvement of information systems, decision support systems, office automation systems, executive information systems, artificial intelligence and expert systems.

The main aim of this course is to give information regarding scientific research process and methodology. In this regard, participants will have basic knowledge about how to prepare scientific research studies and how to present their studies at the end of this course.

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.