İSTANBUL AYDIN ÜNİVERSİTESİ
ISTANBUL AYDIN UNIVERSITY |
| LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ-ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ (İngilizce)(DOK) |
| SINIF: 1 - DÖNEM: 1 |
| Ders Kodu | Ders Adı | DT | T | P | K | ECTS | H.S. | İçerik TR | İçerik ING |
| EED601E | LINEAR SYSTEM THEORY
LINEAR SYSTEM THEORY | Z | 3 | 0 | 3.0 | 7.5 | 3 | - Dynamical system representation
- State-space representation of Continuous-Time (CT) systems: Solution of CT state equations, impulse response, convolution integral
- State-space representation of Discrete-Time (DT) systems: solution of DT state equations, pulse response, convolution sum
- Transfer functions
- Controllability and state feedback
- Observability and observer design
- Dynamic output feedback | Dynamical system representation; State-space representation of Continuous-Time (CT) systems: Solution of CT state equations, impulse response, convolution integral; State-space representation of Discrete-Time (DT) systems: solution of DT state equations, pulse response, convolution sum; Transfer functions; Controllability and state feedback; Observability and observer design; Dynamic output feedback. |
| FBE613E | ADVANCED RESEARCH TECHİQUES
ADVANCED RESEARCH TECHİQUES | Z | 3 | 0 | 3.0 | 7.5 | 3 | Scientific research concept, concept of plagiarism, concept of publication ethics, concept of scientific ethics, most frequent publishing violations and methods of identifying them. | Scientific research concept, concept of plagiarism, concept of publication ethics, concept of scientific ethics, most frequent publishing violations and methods of identifying them. |
| SINIF: 1 - DÖNEM: 2 |
| Ders Kodu | Ders Adı | DT | T | P | K | ECTS | H.S. | İçerik TR | İçerik ING |
| FBE620E | SEMINAR
SEMINAR | Z | 0 | 0 | 0.0 | 7.5 | 0 | Research methods, problem definition, literature review, data gathering, analysis and evaluation of data, constructing report. | Research methods, problem definition, literature review, data gathering, analysis and evaluation of data, constructing report. |
| EED604E | OPTIMIZATION
OPTIMIZATION | S | 3 | 0 | 3.0 | 7.5 | 3 | This course provides some concepts of the field of optimization and presents various optimization methods in order to solve some nonlinear optimization problems. Topics include: modeling of non-linear and integer programming and several solving methods. The course provides many examples of most common non-linear optimization methods, integer programming methods and assumptions lead to useful comprehension of applied engineering problems | This course provides some concepts of the field of optimization and presents various optimization methods in order to solve some nonlinear optimization problems. Topics include: modeling of non-linear and integer programming and several solving methods. The course provides many examples of most common non-linear optimization methods, integer programming methods and assumptions lead to useful comprehension of applied engineering problems |
| EED607E | NUMERICAL METHODS IN ELECTRICAL ENGINEERING
NUMERICAL METHODS IN ELECTRICAL ENGINEERING | S | 3 | 0 | 3.0 | 7.5 | 3 | Approximations and error in numerical methods, Systems of linear equations, Linear least squares, Eigenvalue problems, Nonlinear equations, Optimization, Interpolation, Numerical integration and differentiation, Differential equations, Random number generation. | Approximations and error in numerical methods,
Systems of linear equations,
Linear least squares,
Eigenvalue problems,
Nonlinear equations,
Optimization,
Interpolation,
Numerical integration and differentiation,
Differential equations,
Random number generation. |
| EED654E | NONLINEAR SYSTEMS
NONLINEAR SYSTEMS | S | 3 | 0 | 3.0 | 7.5 | 3 | Introduction to nonlinear systems and some examples. Second order systems and phase plane. Lyapunov stability. Input-output stability. Passivity. Frequency domain analysis: absolute stability, circle criterion, Popov criterion, describing function method . Nonlinear control systems design: feedback linearization and sliding-mode control. | Introduction to nonlinear systems and some examples. Second order systems and phase plane. Lyapunov stability. Input-output stability. Passivity. Frequency domain analysis: absolute stability, circle criterion, Popov criterion, describing function method . Nonlinear control systems design: feedback linearization and sliding-mode control. |
| EED668E | ELECTRİC POWER QUALITIY
ELECTRİC POWER QUALITIY | S | 3 | 0 | 3.0 | 7.5 | 3 | This course addresses concepts that underlie power quality issues such as harmonic generation and harmonic flow, and the modeling of voltage sags and swells. The effects of such disturbances on equipment (transformers, rotating machines, lamps, relays and converters) performance are studied by means of actual field cases. Other topics covered are Power Quality measurements in the era of smart grid, Power Quality problems caused by Renewable Generators, and Engineering Economics issues related to Power Quality. | This course addresses concepts that underlie power quality issues such as harmonic generation and harmonic flow, and the modeling of voltage sags and swells. The effects of such disturbances on equipment (transformers, rotating machines, lamps, relays and converters) performance are studied by means of actual field cases. Other topics covered are Power Quality measurements in the era of smart grid, Power Quality problems caused by Renewable Generators, and Engineering Economics issues related to Power Quality. |
| EED674E | ADAPTIVE SIGNAL PROCESSING
ADAPTIVE SIGNAL PROCESSING | S | 3 | 0 | 3.0 | 7.5 | 3 | Overview of discrete-time stochastic processes. Wiener filter theory. Linear prediction. LMS algorithm and its variants. Frequency domain adaptive filtering; RLS, QR-RLS algorithms and their connection to Kalman Filtering. Order recursive adaptive filters; QRD-LSL algorithm and its variants. Analysis and discussion of adaptation algorithms and their convergence properties. Computational complexity considerations. Filter structures and algorithms for fast adaptation and real-time processing. Numerical stability of fast algorithms. IIR adaptive filters. Applications of adaptive filtering. | Overview of discrete-time stochastic processes. Wiener filter theory. Linear prediction. LMS algorithm and its variants. Frequency domain adaptive filtering; RLS, QR-RLS algorithms and their connection to Kalman Filtering. Order recursive adaptive filters; QRD-LSL algorithm and its variants. Analysis and discussion of adaptation algorithms and their convergence properties. Computational complexity considerations. Filter structures and algorithms for fast adaptation and real-time processing. Numerical stability of fast algorithms. IIR adaptive filters. Applications of adaptive filtering. |
| EED675E | IMAGE PROCESSING
IMAGE PROCESSING | S | 3 | 0 | 3.0 | 7.5 | 3 | Digital image fundamentals, intensity transformations, spatial filtering, filtering in the frequency domain, image restoration, color image processing, multiresolution expansions, wavelet transform, fundamentals of image compresison, image compression methods, point, line and edge detection, thresholding, region based segmentation, morphological image processing | Digital image fundamentals, intensity transformations, spatial filtering, filtering in the frequency domain, image restoration, color image processing, multiresolution expansions, wavelet transform, fundamentals of image compresison, image compression methods, point, line and edge detection, thresholding, region based segmentation, morphological image processing |
| EED679E | MICROGRIDS AND SMART GRIDS
MICROGRIDS AND SMART GRIDS | S | 3 | 0 | 3.0 | 7.5 | 3 | The new challenges and actors of electrical networks are presented as well as the new resulting constraints; the need for structural evolutions (new architectures, DC networks) and operational evolutions; real distribution network is modeled in MATLAB; the numerical optimization for the electrical networks course begins with a general presentation of the optimization (objectives, theoretical concepts); study the technical aspects involved in the design of a dynamic electrical system in general: energy flow management, optimal sizing of sources (storage included), dynamic stability and dynamic interactions, advanced monitoring and control. | The new challenges and actors of electrical networks are presented as well as the new resulting constraints; the need for structural evolutions (new architectures, DC networks) and operational evolutions; real distribution network is modeled in MATLAB; the numerical optimization for the electrical networks course begins with a general presentation of the optimization (objectives, theoretical concepts); study the technical aspects involved in the design of a dynamic electrical system in general: energy flow management, optimal sizing of sources (storage included), dynamic stability and dynamic interactions, advanced monitoring and control. |
| SINIF: 2 - DÖNEM: 1 |
| Ders Kodu | Ders Adı | DT | T | P | K | ECTS | H.S. | İçerik TR | İçerik ING |
| FBE600-YTR | DOKTORA YETERLİK
DOCTORAL PROFICIENCY | Z | 0 | 0 | 0.0 | 30.0 | 0 | | |
| SINIF: 2 - DÖNEM: 2 |
| Ders Kodu | Ders Adı | DT | T | P | K | ECTS | H.S. | İçerik TR | İçerik ING |
| FBE600-ONR | DOKTORA TEZ ÖNERİSİ
DOCTORAL THESIS PROPOSAL | Z | 0 | 0 | 0.0 | 30.0 | 0 | | |
| SINIF: 3 - DÖNEM: 1 |
| Ders Kodu | Ders Adı | DT | T | P | K | ECTS | H.S. | İçerik TR | İçerik ING |
| FBE600-1 | TEZ
THESIS | Z | 0 | 0 | 0.0 | 30.0 | 0 | | |
| SINIF: 3 - DÖNEM: 2 |
| Ders Kodu | Ders Adı | DT | T | P | K | ECTS | H.S. | İçerik TR | İçerik ING |
| FBE600-2 | TEZ
THESIS | Z | 0 | 0 | 0.0 | 30.0 | 0 | | |
| SINIF: 4 - DÖNEM: 1 |
| Ders Kodu | Ders Adı | DT | T | P | K | ECTS | H.S. | İçerik TR | İçerik ING |
| FBE600-3 | TEZ
THESIS | Z | 0 | 0 | 0.0 | 30.0 | 0 | | |
| SINIF: 4 - DÖNEM: 2 |
| Ders Kodu | Ders Adı | DT | T | P | K | ECTS | H.S. | İçerik TR | İçerik ING |
| FBE600-4 | TEZ
THESIS | Z | 0 | 0 | 0.0 | 30.0 | 0 | | |
