Electrical and Electronic Engineering Doctoral Program

Degree: Ph.D.
Duration (Years): 2 - 5
Language: English

Research is an integral part of an institution of higher education. Following the establishment of the graduate programs in the Department of Electrical and Electronic Engineering, there has been rapid development in graduate studies, complemented by an active research environment. The objective of the graduate program is to establish firm background knowledge and cultivate initiative abilities in students that will enable them to engage in advanced applied and theoretical research.

Admission Requirements

Master of Science applicants should have a minimum Bachelor’s degree CGPA of 2.50/4.00 in the field of Electrical and Electronic engineering or relevant fields. PhD program requirements in addition to the Master’s qualification, prior to entry, acquire a minimum CGPA of 3.00/4.00 in the undergraduate study. For PhD applicants with undergraduate CGPA in the range (2.75-3.00)/4.00, an international conference paper, and for those in the range (2.00-2.75)/4.00 an international journal paper (in the ISI Master List) is required as an additional requirement, respectively.

Research Interests

Communications; CDMA, OFDM, Channel and source coding, Turbo codes, Performance bounds and exact solutions, Adaptive equalization, Coding theory and coded modulation techniques, Multi-beam antennas, Microstrip antennas, FDTD analysis, Electromagnetic scattering Signal & Image Processing; Spectral estimation, Adaptive filtering, Filter bank theory, Wavelet transforms and applications, Watermarking, Face identification, Person or vehicle tracking, Model based video coding, Robotics Information Technologies/Computer Networks; Video conferencing, Distance learning, Computer networks Power Electronics; Power filters, UPS inverters

Contact Information

Tel: +90 392 630 1301
Fax: +90 392 365 1648
E-mail: infoee@emu.edu.tr
Web: http://www.ee.emu.edu.tr/

Degree: Ph.D.
Duration (Years): 2 - 5
Language: English
Course Code Course Title Semester Credit Lecture Hour (hrs/week) Lab (hrs/week) Tutorial (hrs/week) ECTS

Semester 1

CHEM101 General Chemistry 1 4 4 1 -
Atoms, molecules and ions; Mass relations in chemistry, stoichiometry; Gasses, the ideal gas law, partial pressures, mole fractions, kinetic theory of gases; Electronic structure and the periodic table; Thermo chemistry, calorimetry, enthalpy, the first law of thermodynamics; Liquids and Solids; Solutions; Acids and Bases; Organic Chemistry.
EEE 111 Introduction to Computing 1 3 3 1 -
Information technology and computers: data, information, input, output, processing, hardware and software. Basic computer components architecture. Types of computer systems and computer networks and Internet. Computer software: system software, application software. Working with computer software: operating systems, directories, files, file types, commands, user programs and packaged software; low-level, and high level languages. Problem solving and algorithm design. Structured programming concepts: sequence, selection and iteration. Pseudo-code, flow-charts and other techniques. Introduction to C programming language: data types, constants and variables; structure of a C program; selection, and repetition structures in C; functions in C.
ENGL191 Communication in English - I 1 3 3 1 -
ENGL191 is a first-semester freshman academic English course. It is designed to help students improve the level of their English to B1+ level, as specified in the Common European Framework of Reference for Languages. The course connects critical thinking with language skills and incorporates learning technologies such as IQ Online. The purpose of the course is to consolidate students’ knowledge and awareness of academic discourse, language structures, and lexis. The main focus will be on the development of productive (writing and speaking) and receptive (reading) skills in academic settings.
ENGL181 Academic English - I 1 3 5 1 -
ENGL 181 is a first-semester freshman academic English course. It is designed to help students improve the level of their English to B1+ level, as specified in the Common European Framework of Reference for Languages. The course connects critical thinking with language skills and incorporates learning technologies such as IQ Online. The purpose of the course is to consolidate students’ knowledge and awareness of academic discourse, language structures, and lexis. The main focus will be on the development of productive (writing and speaking) and receptive (reading) skills in academic settings.
MATH150 Calculus with Precalculus 1 4 4 1 -
Sets, set operations and numbers. Polynomials, factorization, equations and root finding. Real axis, labeling integers, rationals and some irrationals on the number axis. Cartesian coordinates. Lines. Graphs of equations and quadratic curves. Functions and graphs of functions. Limits and continuity. Derivatives. Rules of differentiation. Higher order derivatives. Chain rule. Related rates. Rolle's and the mean value theorem. Critical Points. Asymptotes. Curve sketching. Integrals. Fundamental Theorem. Techniques of integration. Definite integrals. Application to geometry and science. Indeterminate forms. L'Hospital's Rule. Improper integrals. Infinite series. Geometric series. Power series. Taylor series and binomial series.
MATH151 Calculus - I 1 4 4 - 1
Limits and continuity. Derivatives. Rules of differentiation. Higher order derivatives. Chain rule. Related rates. Rolle's and the mean value theorem. Critical Points. Asymptotes. Curve sketching. Integrals. Fundamental Theorem. Techniques of integration. Definite integrals. Application to geometry and science. Indeterminate forms. L'Hospital's Rule. Improper integrals. Infinite series. Geometric series. Power series. Taylor series and binomial series.
PHYS101 Physics - I 1 4 4 1 -
Physical quantities and units. Vector calculus. Kinematics of motion. Newton`s laws of motion and their applications. Work-energy theorem. Impulse and momentum. Rotational kinematics and dynamics. Static equilibrium.
TURK100 Introduction to Turkish 1 No-Credit - - -
TURK 100 is a Basic Turkish course introducing the Turkish language. It incorporates all four language skills and provides an introduction to basic grammar structures. Students will be encouraged to develop their writing skills through a variety of tasks. The aim of this course is for students to be able to understand and communicate in everyday situations, both in the classroom and in a Turkish-speaking environment.

Semester 2

EENG112 Introduction to Programming 2 4 4 1 -
High-level programming environments. Variables, expressions and assignments. Introducing C programming. Structured programming; sequential, selective and repetitive structures. Function definition and function calls. Prototypes and header files. Recursive functions. Arrays and pointers. Dynamic memory management. Parameter passing conventions. Multi dimensional arrays. Structures and unions. Conditional compilation, modular programming and multi-file programs. Exception handling. File processing. Formatted I/O. Random file access. Index structures and file organization.
ENGL182 Academic English - II 2 3 5 1 -
ENGL182 is a second-semester freshman academic English course. It is designed to help students improve the level of their English to B2 level, as specified in the Common European Framework of Reference for Languages (CEFR). The course connects critical thinking with language skills and incorporates learning technologies such as IQ Online. The purpose of the course is to consolidate students’ knowledge and awareness of academic discourse, language structures, and lexis. The main focus will be on the development of productive (writing and speaking) and receptive (reading) skills in academic settings.
ENGL192 Communication in English - II 2 3 3 - 1
ENGL192 is a second-semester freshman academic English course. It is designed to help students improve the level of their English to B2 level, as specified in the Common European Framework of Reference for Languages. The course connects critical thinking with language skills and incorporates learning technologies such as IQ Online. The purpose of the course is to consolidate students’ knowledge and awareness of academic discourse, language structures, and lexis. The main focus will be on the development of productive (writing and speaking) and receptive (reading) skills in academic settings.
MATH152 Calculus - II 2 4 4 1 -
Vectors in R3. Lines and Planes. Functions of several variables. Limit and continuity. Partial differentiation. Chain rule. Tangent plane. Critical Points. Global and local extrema. Lagrange multipliers. Directional derivative. Gradient, Divergence and Curl. Multiple integrals with applications. Triple integrals with applications. Triple integral in cylindrical and spherical coordinates. Line, surface and volume integrals. Independence of path. Green's Theorem. Conservative vector fields. Divergence Theorem. Stokes' Theorem.
MATH106 Linear Algebra 2 3 3 1 -
Cartesian coordinate system; Linear equations and lines, system of linear equations, quadratic equations, functionsSelected application to economics and accounting. Matrices, determinants, systems of linear equations and their solutions using Cramer's Rule. . Set theory, counting theory, discrete probability. Descriptive statistics
PHYS102 Physics - II 2 4 4 1 -
Kinetic theory of ideal gases. Equipartition of energy. Heat, heat transfer and heat conduction. Laws of thermodynamics, applications to engine cycles. Coulombs law and electrostatic fields. Gauss's law. Electric potential. Magnetic field. Amperes law. Faradays law.

Semester 3

EEE 223 Circuit Theory - I 3 4 4 1 -
Circuit variables, circuit elements. Simple resistive circuits. Techniques of circuit analysis. Topology in circuit analysis. Inductance and capacitance. State variables and state equations. Response of first-order RL, RC circuits. Natural and step responses of second-order RLC circuits.
MATH203 Ordinary Differential Equations 3 3 3 1 -
Ordinary differential equations of the first order; separation of variables, exact equations, integrating factors, linear and homogeneous equations. Special first order equations; Bernoulli, Riccati, Clairaut equations. Homogeneous higher order equations with constant coefficients. Nonhomogeneous linear equations; variation of parameters, operator method. Power series solution of differential equations. Laplace transforms. Systems of linear differential equations.
EEE 245 Physical Electronics 3 4 4 1 -
Crystal structures, energy levels in crystals. Electronic transport in metals. A short account on superconductivity. Semiconductors; impurities; carrier transport in semiconductors; generation and recombination of minority carriers. The P-N junction diode and Schottky diode; the bipolar junction transistor(BJT); current flow in diodes, BJT's and MOSFETs.
PHYS201 Physics - III 3 4 4 1 -
Special Relativity; Early quantum theory (Blackbody radiation, photoelectric effect, X-rays, Compton scattering); Bohr's atom model; Introductory quantum mechanics: Wave-particle duality, de Broglie waves, uncertainty principle, Schrödinger wave equation; Molecular structure and molecular spectra.
NTE01 Non-Technical - I 3 3 3 - -

Semester 4

EEE 224 Circuit Theory - II 4 4 4 1 -
Sinusoidal Sources and Phasors. AC Steady-State Analysis. AC Steady-State Power. Three-Phase Circuits. The Laplace Transforms. Circuit Analysis in the s-domain. Frequency Response. Mutual Inductance and Transformers. Two-port Circuits.
EEE 232 Electromagnetics - I 4 4 4 1 -
Review of vector calculus. Electrostatics in vacuum. Coulomb's and Gauss's laws. Electrostatic potential. Poisson's and Laplace's equations. Conductors in the presence of electrostatic fields. Method of images. Dielectrics; polarization. Dielectric boundary conditions. Capacitance. Electrostatic energy. Electrostatic forces by the virtual work principle. Steady currents. Ohm's and Joule's laws. Resistance calculations. Magnetostatics in vacuum. Ampere's force law. Biot-Savart law. Magnetic vector potential. Ampere's circuital law. Magnetic boundary conditions. Magnetic dipole. Magnetization. Hysteresis curve. Self and mutual inductance. Magnetic stored energy. Magnetic forces by the virtual work principle.
MATH205 Complex Calculus 4 3 3 1 -
EEE 212 Algorithms and Data Structures 4 3 3 1 -
Storage structures and memory allocations. Primitive data structures. Data abstraction and Abstract Data Types. Array and record structures. Sorting algorithms and quick sort. Linear & binary search. Complexity of algorithms. String processing. Stacks & queues; stack operations, implementation of recursion, polish notation and arithmetic expressions. Queues and their implementations. Dequeues & priority queues. Linked storage representation and linked-lists. Doubly linked lists and circular lists. Binary trees. Tree traversal algorithms. Tree searching. General trees. Graphs; terminology, Operation on graphs and traversing algorithms.
MATH373 Numerical Analysis for Engineers 4 3 3 1 -
Numerical error. Solution of nonlinear equations, and linear systems of equations. Interpolation and extrapolation. Curve fitting. Numerical differentiation and integration. Numerical solution of ordinary differential equations.

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