Elektrik-Elektronik Mühendisliği Yüksek Lisans Programı,
tezli ve tezsiz olmak üzere ikiye ayrılır. Tezli program 21 kredilik ders yükü (7 ders), seminer ve tezden; tezsiz program ise 30 kredilik ders yükü (10 ders) ve projeden oluşur. Her iki programın da eğitim dili
İngilizce’dir. Tezsiz program iki yarıyılda, tezli program ise iki yarıyıl ve bir yaz dönemini sonunda tamamlanabilir.
Program altında genel Elektrik-Elektronik Mühendisliğinin yanısıra
Gömülü Video Sistemleri uzmanlık programı da yürütülmektedir. Bu programa ilişkin bilgiler ilgili sayfalarda verilmiştir.
PROGRAMIN AMAÇLARI VE HEDEF KİTLESİ
Program Çağdaş yaşamın teknolojik gereksinimlerinin karşılanmasında büyük katkılar sağlayan Elektrik-Elektronik Mühendisliği alanına
- Gelişmeleri izleyebilen, uluslararası düzeyde bilgi ve beceri ile donatılmış insan kaynağı sağlamayı,
- Alanında özgün ve ileri düzeyde araştırma yapabilen kişiler yaratmayı,
- Kendisini sürekli geliştirebilen, toplumun sorunlarına çözümler üretebilen, evrensel değerlere duyarlı ve etik değerlere saygılı, yaratıcı, girişimci ve öncülük özelliklerine sahip mezunlar yetiştirmeyi ve
- Ülkemizde geliştirilmeye çalışılan endüstri-üniversite işbirliğine katkıda bulunmayı
amaçlamaktadır.
Elektrik-Elektronik Mühendisliği Yüksek Lisans Programının hedef kitlesini, bilgi ve deneyimini artırarak, endüstride daha başarılı olmak isteyen, üst düzeyde akademik çalışma yapmaya hazırlanan, ilgili alanlarda disiplinler arası çalışma yapmayı hedefleyen elektrik-elektronik mühendisleri veya ilgili dallardaki diğer mühendisler oluşturmaktadır.
Ders Listesi
Required Courses
Seminar
Master Thesis
Project
Restricted Elective Courses
Multimedia Communications and Networking
Linear System Theory
Random Processes and Estimation Theory
Chaos Theory and Fractals
Adaptive Filters
Wavelets, Filter Banks, and Subband Coding
Advanced Digital Signal Processing
VLSI Test and Verification
Embedded Systems
HDL-Based Digital Design Project
ASIC / SOC Design
Digital Design Automation
Power System Analysis
Power System Stability and Dynamics
Power Generation
Advanced Computer Methods for Power Systems
Real-Time Signal Processing
Image Processing
Image and Video Compression
Video Processing
Mathematical Tools for Video Processing
Speech Processing
Computer Vision and Pattern Recognition
Introduction to Information and Coding Theory
Nanophotonics
Microwave Radiation and Scattering
Advanced Microwave Antennas
Special Topics I
Special Topics II
Applied Linear Algebra
Engineering Mathematics
Numerical Methods
Ders Tanımları
Linear System Theory
Dynamical system concepts. State-space representations. Linear and time-invariant systems: solution, impulse response, transfer functions. Controllability, observability, realizations. Discrete and sampled-data systems. State feedback. Observer design. Dynamical output feedback. Introduction to LQG optimal control.
Random Processes and Estimation Theory
Probability and random variables, averages, moments and characteristic functions, random sequences and convergence, important random processes, stationarity and ergodicity, linear systems with random inputs, power and higher order spectra, factorization and whitening, entropy and channel capacity. Hypothesis testing and decision, signal detection and estimation in noise, matched filter, parameter estimation, waveform estimation, linear estimation and optimum filtering, Kalman and Wiener filters.
Chaos Theory and Fractals
Determinism and non-linearity, sensitivity to initial conditions, chaos in the real world, complexity, Sierpinsky?s triangle, Koch snow flake, Mandelbrot set.
Adaptive Filters
Basic theory of adaptive filter design and implementation. Stationary processes, linear optimum (Wiener) filtering, linear prediction, linear adaptive filtering, steepest descent, LMS algorithm, nonlinear adaptive filters, and neural networks. Analysis of performance and applications.
Wavelets, Filter Banks, and Subband Coding
Coding, advanced digital signal processing algorithms and applications. Topics: multi-rate systems, filter banks, sub-band coding, and wavelet transforms. Applications include speech, audio, image, and video compression, and digital communications.
VLSI Test and Verification
Although digital ICs are designed with a software-like methodology in many ways today, their test is quite different and involves two distinct parts; test (also called manufacturing test) and verification (test of the design). The course introduces theory as well as the state of the art in digital VLSI Test and verification.
Embedded Systems
Examples and applications of ES, common CPU architectures used in ES, peripherals, tools for ES software development, debugging, embedded software architectures, real-time scheduling, performance analysis and optimization, reliability and power issues.
HDL-Based Digital Design Project
This course aims to take on students that are able to write basic RTL in Verilog and/or VHDL and implement designs on FPGA boards. This is a project based course that will assign advanced and unique design projects to students and will allow them to give full demos of their designs at the end of the semesters. Lectures will be problem solving sessions for students and will also equip them with advanced digital design concepts, methods, and tricks.
ASIC / SOC Design
The purpose of this course is to get students ready for a career in a digital ASIC (Application Specific Integrated Circuit) and SOC (System on Chip) design team and make them understand the whole design process from front-end to back-end and all the way to fabrication. The student will walk away with a bigger picture of the whole ASIC flow from this course and will learn the impact and interaction of each stage on another.
Digital Design Automation
Today digital ICs are at the border of a billion transistors per chip. Such large chips can only be designed with the help of design automation tools. At such complexity, even software tools struggle even when running on GHz processors with GB's of RAM. Hence, we have to develop clean-cut algorithms which are also efficient in run-time and memory use. This course lets the student understand the CS problems behind digital IC design automation tasks, offers algorithms, a chance to implement them as well as a look the EDA (Electronic Design Automation) sector.
Power System Analysis
Component of power systems, transmission lines, transformers, system modeling, network calculations, power-flow solutions and control, economic dispatch, fault analysis, system protection, and stability.
Power System Stability and Dynamics
Dynamic and transient stability of power systems, bifurcation and stability analysis with classical models, synchronous machine modeling using Park equations, multi-machine models of power systems, automatic voltage regulators, governors and stabilizers, low-frequency oscillations, sub-synchronous oscillations, and voltage collapse.
Power Generation
Introduction, engineering economics, thermodynamics and power plant cycle analysis, fossil fuels, coal and limestone handling, combustion processes, steam generators, circulation water systems, cycle performance impacts, power plant atmospheric emissions control, electrical systems, plant control systems, gas turbine, fluidized bed combustion, nuclear power, hydroelectric power, power plant planning and design.
Advanced Computer Methods for Power Systems
Data storage of power systems, construction of bus admittance and bus impedance matrices, sparsity programming, triangular factorization, power-flow studies, programming for power-flow of a real power system, programming for economic generation dispatch.
Real-Time Signal Processing
Many electronic devices today ?including cellular phones, multimedia players, and so on ?utilize DSP (Digital Signal Processing) algorithms to do what they do. These algorithms need to run at a certain speed (no more no less), which is dictated by the particular application. Achieving this requires certain techniques and representation. This is what this course presents.
Image Processing
Image formation and reproduction, Image sampling and quantization, two-dimensional systems and transforms, Image enhancement, Image filtering and restoration, image reconstruction, image segmentation and analysis, random image models and power spectra, image coding, image compression standards.
Image and Video Compression
Information theory concepts, scalar and vector quantization, bit allocation and distortion, entropy coding, predictive coding, transform coding, sub-band and wavelet coding, model based coding, image and video compression standards, image and video communication.
Video Processing
Presents the fundamental concepts and applications of video processing. Video fundamentals include an analysis of video capture and display, video Fourier spectrum, human visual system, spatio-temporal sampling, video rate conversion, two-dimensional and three-dimensional motion and structure estimation, information theory and channel capacity concepts. Applications include motion-compensated frame interpolation, deinterlacing and superresolution from video, enhancement and restoration of video, video segmentation, image and video coding, and image and video compression standards.
Mathematical Tools for Video Processing
HMM for motion analysis, POCS for restoration, condensation and Kalman filtering for object tracking, dynamic programming for contour tracking, wavelets for compression, fuzzy logic for segmentation, splines and meshes for representation, EM and SVD for estimation SA and ICM for optimization, AAM and PCA for recognition, watermarking for digital rights management.
Speech Processing
Speech production and representation, digital signal processing, random processes, short-time Fourier analysis, Cepstral processing, linear predictive coding, speech recognition, hidden Markov models, acoustic and language modeling, speech and audio compression, text-to-speech synthesis.
Computer Vision and Pattern Recognition
Hypothesis testing and Bayesian decision, feature extraction, geometry descriptions and transforms, parameter estimation and supervised learning, unsupervised learning and clustering, non-parametric estimation, linear discriminant functions, expectation-maximization techniques, hidden Markov models.
Introduction to Information and Coding Theory
Entropy and its properties, joint and conditional entropy, source coding, Kraft inequality, optimum and maximum likelihood decoding, Huffman coding, Lempel-Ziv coding, channels and channel capacity, linear block codes, error detection and correction, syndrome decoders and parity check theorem, bit error rate, cyclic codes, convolutional codes, the Viterbi algorithm.
Nanophotonics
Recent developments in micro- and nano-photonic materials, devices and microscopy. Computational electromagnetics. Photonic crystals. Optical properties of metal nanostructures. Surface plasmons. Micro-resonators. Optical tweezers. Scanning near-field optical microscopy. Term-long research project.
Microwave Radiation and Scattering
Fundamentals of radiation and scattering. Solution methods of electromagnetic scattering problems. Quasi-static and quasi-optic approximations of electromagnetic theory. Eikanal and transport equations. Reflection diffraction from the curve scattering surfaces. Edge diffraction. Applications.
Advanced Microwave Antennas
Fundamentals of microwave antenna theory. Microstrip, horn, slot and paraboloidal reflector antennas. Dielectric lens antennas. Frequency selective surfaces. Adaptive antenna, switched light beam antenna, smart antenna.
Seminar
The purpose of this seminar is to equip the student enrolled in a program with a thesis with the necessary background for preparing a thesis. Although not compulsory, it is expected that the student prepares a pre-research document on her/his thesis subject and make a presentation at the end of the term.
Master Thesis
The Master Thesis is a study that students enrolled in a program with a thesis have to carry out under the leadership of an advisor on a subject related to the program followed. The thesis has to be prepared in line with academic ethic rules, presented to and approved by a thesis committee. The student has to register to this course for at least two terms.
Project
