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There is a master’s degree program in electrical and electronic engineering within the Institute of Science and Technology at Istanbul Gelişim University.
Students who are enrolled in this program attend the first year courses and then they have the opportunity to prepare a thesis with experienced professors in the fields of wireless communication, image processing, RFID systems, renewable energy sources or electric machines.
The current curriculum is available here.
For more information, please contact the Institute of Science and Technology following this link.
FIRST SEMESTER- COMPULSORY
SCIENTIFIC RESEARCH TECHNIQUES: The aim of this course is to provide detailed scientific approaches about scientific research techniques and to train qualified research candidates. Basic concepts of the course are; Science and basic concepts (facts, knowledge, infallibility etc.), basic information about the history of science, structure of scientific research, scientific methods and different views on the methods, problem, research model, population and sample, collection of data and data collection methods (quantitative and qualitative data collection techniques), data recording, analysis, interpretation and reporting.
SECOND SEMESTER- COMPULSORY
WIRELESS COMMUNICATION: The aim of this course is to provide the students with theoretical knowledge and working principles of communication systems used in electronic systems. Basic concepts of the course include; introduction to communication systems, spectral analysis, amplitude modulation, frequency modulation, angle modulation, communication circuits, digital communication techniques, data communication and industrial communication techniques, wireless communication techniques, electromagnetic waves and antennas, fiber optics, satellite communication and electronic system communication .
ADAPTIVE SIGNAL PROCESSING: The aim of this course is to teach the students the probabilistic processes and models, various adaptive filter design techniques and applications. Basic concepts of the course are; Stable processes, linear optimal filtering, linear prediction, wiener filter, kalman filter, linear adaptive filtering, drop-off, LMS and RLS algorithms and nonlinear adaptive filtering.
SCIENTIFIC RESEARCH TECHNIQUES: The aim of this course is to provide detailed scientific approaches about scientific research techniques and to train qualified research candidates. Basic concepts of the course are; Science and basic concepts (facts, knowledge, infallibility etc.), basic information about the history of science, structure of scientific research, scientific methods and different views on the methods, problem, research model, population and sample, collection of data and data collection methods (quantitative and qualitative data collection techniques), data recording, analysis, interpretation and reporting.
FOURTH SEMESTER- COMPULSORY
INTRODUCTION TO THESIS AND SEMINAR: The seminar course in the master’s and doctorate programs is about preparation of a study which will contribute to the current and educational process related to a subject or thesis topics in accordance with scientific research methods, to present in front of a group, to talk, to discuss and to develop communication ability. This course is compulsory for Master’s and Doctorate level students. The seminar course should be completed before proceeding with the thesis.
SCIENTIFIC RESEARCH TECHNIQUES: The aim of this course is to provide detailed scientific approaches about scientific research techniques and to train qualified research candidates. Basic concepts of the course are; Science and basic concepts (facts, knowledge, infallibility etc.), basic information about the history of science, structure of scientific research, scientific methods and different views on the methods, problem, research model, population and sample, collection of data and data collection methods (quantitative and qualitative data collection techniques), data recording, analysis, interpretation and reporting.
FIRST SEMESTER- ELECTIVE
STEP MOTORS
ADVANCED ARTIFICIAL INTELLIGENCE: The aim of the course is to provide students with advanced knowledge in artificial intelligence and machine learning. The subjects covered change each semester. Contents of the course are, in general, Data Mining, Knowledge Generation, Deep Learning, Artificial Neural Networks, Evolutionary Computation, Distributed Artificial Intelligence, Robotics, Natural Language Processing and Probabilistic Inference.
ADVANCED ELECTROMAGNETIC THEORY: The aim of the course is to provide the students with the theoretical knowledge about Electromagnetic Field Theory and to show that the laws of nature that describe electrical and magnetic processes can be combined under a single electromagnetic field theory; to effectively apply the tools of mathematical physics to electrodynamic problems; to examine the topics of classical electrodynamics at the graduate level.
NUMERICAL METHODS IN ELECTROMAGNETICS: The aim of the course is to teach numerical calculation methods such as FDTD, FEM and MOM. Basic concepts of the course are; analytical and numerical methods in electromagnetics, Electromagnetic (EM) fields and waves, Classification of EM problems and equations, Finite difference method (FDM), Finite difference method in time domain (FDTD), Finite element method (FEM), Moments method (MOM) and Various application areas and algorithms.
SECOND SEMESTER- ELECTIVE
HIGH FREQUENCY CIRCUIT DESIGN: The aim of the course is to teach the students to analyze the behavior of basic circuits at high frequencies.
LINEAR MOVING ELECTRICAL MACHINES:
INDUSTRIAL ROBUST CONTROL:
ELECTROMAGNETIC WAVES AND APPLICATIONS: Electromagnetic Field theory forms the basis of disciplines of electrical, electronics, communication and computer engineering. Electromagnetic waves are the most important subset of “Electromagnetic events that change by time”. Electromagnetic Wave Theory course teaches the fundamentals of electromagnetic waves by using “Vector Analysis” and at the same time it enables the comprehension of different wave phenomena as well as solving basic engineering problems involving such events. At the same time, it provides insight for “Scientific Research”. Concepts included in the course are; Maxwell’s Equations; Concept of Generalized Current; Conservation of Electromagnetic Energy; Maxwell Equations in Transient Environments, Concept of Distribution, Boundary Conditions. Electromagnetic Wave Equation and Principles of Solution in a Simple Environment: General Planar Waves. D’Alembert Solution t-Domian:
Initial Value Problem. Maxwell’s equations in Domian, Helmholtz Equation and Planar Waves and propagation properties in simple environments; polarization. Planar waves in two different environments: Reflection and Refraction, Standing Waves, Complete passing, Full Transmission; Propagation of cascade simple environments; Introduction to Guided Waves: Cutting and Propagation of Electromagnetic Waves in General Cylindrical Waveguides.
FOURTH SEMESTER- ELECTIVE
NOISE ANALYSIS IN ELECTRONIC CIRCUITS:
HIGH FREQUENCY CIRCUIT DESIGN: The aim of the course is to teach students to analyze the behavior of basic circuits at high frequencies.
LINEAR MOVING ELECTRICAL MACHINES:
INDUSTRIAL ROBUST CONTROL:
ELECTROMAGNETIC WAVES AND APPLICATIONS: Electromagnetic Field theory forms the basis of disciplines of electrical, electronics, communication and computer engineering. Electromagnetic waves are the most important subset of “Electromagnetic events that change by time”. Electromagnetic Wave Theory course teaches the fundamentals of electromagnetic waves by using “Vector Analysis” and at the same time it enables the comprehension of different wave phenomena as well as solving basic engineering problems involving such events. At the same time, it provides insight for “Scientific Research”. Concepts included in the course are; Maxwell’s Equations; Concept of Generalized Current; Conservation of Electromagnetic Energy; Maxwell Equations in Transient Environments, Concept of Distribution, Boundary Conditions. Electromagnetic Wave Equation and Principles of Solution in a Simple Environment: General Planar Waves. D’Alembert Solution t-Domian: Initial Value Problem. Maxwell’s equations in Domian, Helmholtz Equation and Planar Waves and propagation properties in simple environments; polarization. Planar waves in two different environments: Reflection and Refraction, Standing Waves, Complete passing, Full Transmission; Propagation of cascade simple environments; Introduction to Guided Waves: Cutting and Propagation of Electromagnetic Waves in General Cylindrical Waveguides.
Admission Requirements:
- Bachelor’s degree.
- Transcripts from all previously attended colleges/universities.
- resume/CV (if available).
- Personal statement or essay (if available).
- Letters of recommendation (usually 1-3), (if available).
- English Qualification certificate or equivalent like TOEFl, IELTS …etc (if available).
- Passport.
- Biometric Photo.
Key Information: