Undergraduate Courses
EC 101 Intro.Economics I
Credits:
3
Nature, scope and methods of economics; a general view of the price system; consumer behavior; theory of the firm; illustrations and applications from the Turkish economy.
EC 102 Intro.Economics II
Credits:
3
National income and its determination; changes in national income, elements of public finance, money and banking, international trade, macroeconomic policy, economic growth and development; illustrations and applications from the Turkish economy.
EE 101 Orientation to Electrical Engineering
Credits:
3
Basic elements of electrical engineering: Devices, circuits, and systems. Interactions of these elements and engineering methods. Discussion of the social and ethical aspects of the engineering profession. Introduction to faculty members and research areas. General and departmental responsibilities of students. Formats, rules and conventions in technical writing. Oral and written presentation tools and techniques. Laboratory work.
CE 111Visual Technologies in Civil Engineering
Credits:
(2+0+2) 3 ECTS 5
Introducing visual platforms and technologies in civil engineering. Providing a fundamental understanding of engineering drawings. Application of 3D printing. Introduction to Building
EE 201 Electrical Circuits I
Credits:
4
Circuit elements and Kirchhoffs laws. Analysis of resistive circuits. Network theorems. Solutions of linear time-invariant differential equations. Analysis of first and second order circuits. Operational Amplifiers. Sinusoidal steady-state analysis. Power calculations and balanced three-phase circuits. Two port networks.
EE 202 Electrical Circuits II
Credits:
4
Analysis of electrical circuits in frequency domain. Solution of linear time-invariant circuits using Laplace transform. Formulation and solution of state equations. Two-port representations. Filter design.
Prerequisite:
EE 201
EE 210 Introduction to Electrical Engineering (ME, IE, CMPE)
Credits:
3
Basic components and principles of electrical circuits: circuit elements variables and measuring devices. Kirchoff's laws, loop and nodal analysis. Network response to DC, exponential and sinusoidal excitation: switching networks, impedances, network functions, Fourier series, phasor methods, real and reactive power, power factor. Transformers and 3-Phase systems.
EE 212 Introduction to Electronic Engineering
Credits:
3
Conduction mechanism in metals and semi-conductors. Doping in semi-conductors; p-n junction. Diode characteristics and applications. Power supplies. Bipolar junction transistor operation. Transistor characteristics, transistor biasing. JFET operation and biasing. MOSFET operation and biasing. Introduction to digital electronics. Logic families: RTL, DTL, TTL, ECL, NMOS and CMOS. MSI logic: Multiplexers, Decoders, etc. Memory circuits: ROM's and RAM's.
Prerequisite:
EE 210
EE 214 Probability for EE
Credits:
3
Fundamentals of probability. Random variables, probability distribution and density functions and some specific functions. Operations on one random variable: expectation, moments and transforms of random variables. Vector random variables, joint distribution and density functions. Statistical independence. Operations on multiple random variables.
EE 232 Semiconductors and Electronic Devices
Credits:
3
Semiconductor properties, Current conduction mechanisms in semiconductors, pn junctions, Operation of the pn junction diode, diode types, operation of the Bipolar Junction Transistor, Operation of the MOSFET, other transistor types.
Prerequisite:
Phys 201 or consent of the instructor.
EE 241 Computer Tools for EE
Credits:
2
Matlab expressions, constants, variables, arrays. Graph plots. Procedures and functions. Matlab syntax. Graphic User Interface (GUI). Linear algebra using Matlab. PSpice overview, Circuit schematics, schematic rules and analysis types. Modeling with PSpice, mixed analog and digital simulation, measurement in PSpice. Programming in Labview.
EE 243 Digital Systems
Credits:
2
Number systems, Boolean algebra, logic networks and their simplification. Logic design with gates. Medium Scale Integration (MSI) and Large Scale Integration (LSI) technologies. Combinatorial and sequential circuits. Counter and shift registers.
EE 244 Digital Systems Design
Credits:
3
Hardware description languages, digital logic synthesis, computer organization, arithmetic logic, memory and control units, mini and microcomputer systems. Field Programmable Gate Arrays (FPGA). Laboratory Work.
Prerequisite:
EE 243
EE 271 Signals and Systems - I
Credits:
3
Continuous-time signals and systems, basic system properties. Linear time-invariant systems, convolution integral. Fourier series representation of periodic continuous-time signals, Fourier transform of continuous-time signals. Laplace transform. Application to electrical circuits.
EE 272 Signals and Systems - II
Credits:
3
Discrete-time signals and systems, basic system properties. Linear time-invariant systems, convolution sum. Fourier series representation of periodic discrete-time signals, Fourier transform of discrete-time signals. Sampling. Z-transform. Discrete-time filters.
Prerequisite:
EE 271
EE 304 Energy Conversion
Credits:
3
Energy technology and resources: Fossil fuels, nuclear, solar, and other types of energy. Three phase systems and magnetic circuits. Transformers: Ideal and physical models and equivalent circuit, and transformer testing. Electromechanical energy conversion. Efficiency and process performance. Sensors and actuators: Relays, stepper and positioning systems, switched reluctance machines, synchronous reluctance machines, direct current (DC) machines. Symmetrical alternating current (AC) synchronous machines. Symmetrical AC induction machines.
Prerequisite:
EE 201
EE 330 Solid State Electronics
Credits:
3
Introduction to wave mechanics, statistical physics, crystal structure, band theory, relaxation phenomena and electronic conductivity. Application to semiconductors and semiconductor devices.
Prerequisite:
EE 333
EE 333 Electronics I
Credits:
3
Diode characteristics and applications. Power supplies. BJT Characteristics. BJT biasing. Small-signal modeling and analysis. MOSFET chracteristics and biasing; FET small-signal modeling and analysis. Multistage amplifiers. Coupling techniques and frequency response. Differential amplifiers. High frequency modeling of transistors.
Prerequisite:
EE 201, EE 232
EE 334 Electronics II
Credits:
3
Feedback and broadbanding techniques. Analog Integrated Circuits. OpAmps. Power amplifiers. Filters and oscillators. Regulated power supplies.
Prerequisite:
EE 333
EE 335 Electronics Lab 1
Credits:
1
Transistor biasing. Measurement of transistor parameters. D.C. power supplies and stabilized circuits. Linear and nonlinear wave shaping.
EE 336 Electronics Lab 2
Credits:
1
Single and multistage transistor amplifiers; feedback in electronic circuits and frequency response. Multivibrator circuits, Logic gates and operational amplifiers.
Prerequisite:
EE 333
EE 342 Numerical Methods for EE
Credits:
3
Data structures, structured programming. Numerical solution of multidimensional optimization problems, convergence properties, gradient and Newton methods. Solution of linear, nonlinear equations, and differential equations, numerical integration.
EE 351 System Dynamics and Control
Credits:
3
Analysis of linear control systems by differential equations and transfer function methods using Laplace transforms. Stability of closed loop systems. Routh-Hurwitz criterion, root-locus diagrams. System analysis in frequency domain. Bode, polar plots and Nichols charts. Nyquist stability criterion. Introduction to design and optimization of linear control systems, compensation techniques.
Prerequisite:
MATH 202, EE 201
EE 363 Electromagnetic Field Theory
Credits:
3
Vector analysis for field theory. Static electric and magnetic fields. Time varying electric and magnetic fields. Maxwell's equations.
Prerequisite:
PHYS 201 and MATH 202
EE 364 Applications of Electromagnetic Field Theory
Credits:
3
Plane waves in different media, reflection and refraction. Transmission lines. Waveguides and cavity resonators. Antennas and radiating systems.
Prerequisite:
EE 363 or consent of the instructor.
EE 371 Communication Engineering
Credits:
3
Building blocks of communication systems. Analog communication methods: Analog amplitude and phase/frequency modulation. Frequency division multiplexing. Sampling and quantization, Pulse tranmission methods: pulse-code modulation, differential pulse-code modulation and delta modulation. Time-division multiplexing. Digital modulation techniques: Digital amplitude and phase/frequency shift keying.
Prerequisite:
EE 271 and (EE 272 or consent of the instructor)
EE 372 Random Signals
Credits:
3
Random processes, stationarity, independence and ergodicity, correlation function. Spectral characteristics of random processes. Linear systems with random inputs. Special classes of random processes: Markov, Wiener, Poisson and Gaussian processes.
Prerequisite:
EE 214 or consent of the instructor
EE 431 Electronic Measurement and Instrumentation
Credits:
3
Units and principles of measurement. Error of measurement. Probability of error. Electronic measurements and electronic measuring instruments: Instrument amplifiers, signal sources, oscilloscopes, digital frequency meters, digital voltmeters. High frequency and microwave measurement techniques. Laboratory.
Prerequisite:
EE 333, EE 335
EE 432 Digital Electronics
Credits:
3
Basic waveshapes and fundamentals of digital electronics. Principles of Metaloxide Semiconductor (MOS) transistor, operation of MOS inverters and gate circuits (NMOS, CMOS). Principles of bipolar junction transistors (BJT), operation of BJT inverters and gate circuits (TTL, ECL, I2L), semiconductor memories.
Prerequisite:
EE 333
EE 433 Communication Electronics
Credits:
3
Introduction to wireless communication systems. Impedance matching techniques by using Smith Chart. Noise and distortion in HF systems and amplifiers. RF amplifier analysis and design using Y-parameters. HF mixers and oscillators. Phase locked loops and frequency synthesizers. Modulator and demodulator design.
EE 434 Design of MOS LSI Circuits
Credits:
3
Introduction to MOS device theory. NMOS and CMOS digital circuit fundamentals. Layout design rules. Process technologies. Logic and analog simulation of the circuit performance. Electrical and physical design of NMOS and CMOS LSI systems. Student term project.
EE 435 Industrial Electronics
Credits:
3
Review of four layer devices and their applications. Gate control techniques in power switching elements and their protection. Introduction to solid state energy conversion. AC/DC, AC/AC, DC/AC and DC/DC converters. Introduction to control of electrical drives. Industrial control systems. Relay circuits; ladder diagrams. Sequential control circuits. Case studies.
Prerequisite:
EE 334
EE 436 Industrial Electronics Laboratory
Credits:
1
Experiments on SCR triggering circuits, bridge rectifiers, inverters, choppers, programmable logic controllers, control of manipulators.
EE 437 Op Amps and Applications
Credits:
3
Op-Amp fundamentals; linear Op-Amp circuits: DC sources, current to voltage converters, voltage to current converters, current amplifiers, difference amplifiers, instrumentation amplifiers, transducer bridge amplifiers. Active filters; practical Op-Amp limitations; stability and frequency compensation.
Prerequisite:
EE 334
EE 438 Design with Integrated Circuits
Credits:
3
Nonlinear Circuit Applications: Voltage comparators, Schmitt triggers, precision rectifiers, analog switches, peak detectors, S/H circuits; signal generators: sine wave generators, multivibrators, IC timers, triangular wave generators, triangular-to-sine wave convertors, sawtooth wave generators, V/F and F/V convertors; D-A and A-D convertors: Basic DAC techniques, Bipolar DAC's, high resolution DAC's, DAC-based AD conversion, parallel A-D techniques, Integrating Type ADC's; logarithmic amplifiers: Log/Antilog amplifiers; Phase-Locked Loops.
Prerequisite:
EE 334
EE 439 Advanced Electronics Lab
Credits:
1
Active filters, phase locked loop (PLL) circuits, counters and dividers, sweep circuits. Function generators, multipliers, comparators and operational amplifier (Op-Amp) characteristics.
Prerequisite:
EE 334
EE 443 Microprocessors
Credits:
4
Elements of microprocessor systems, hardware and software analysis. Addressing techniques. Input-Output devices. Design of small microprocessor systems. Laboratory.
EE 450 Control Technology and Design
Credits:
4
An overview of design techniques with particular interest to industrial requirements. Fedback implementation: Transducers, sensors, and signal conditioning. Implementation of various types of control actions and servo control. Laboratory.
Prerequisite:
EE 351
EE 451 Introduction to Robot Control
Credits:
3
Description and classification of robots. A general view of mechanics and kinematics for joints, links and gripper. Inverse kinematics. Determination of dynamical models. State-space representation and linearization of nonlinear models. Control of robots. Independent joint control. Force control. Trajectory planning and control.
Prerequisite:
EE 351
EE 453 Linear System Theory
Credits:
4
Introduction to realization theory for single-input, single-output (SISO) systems. Solution of the state space equations. Structural properties: controllability, observability, detectability, stabilizability. State feedback design, observer design and design of observer based compensations for SISO systems.
Prerequisite:
EE 351
EE 454 Linear Multivariable Systems
Credits:
3
Fundamentals of polynomial matrix theory. Finite and infinite pole/zero structure of transfer matrices. Realization theory: minimality and minimal realizations of transfer matrices. Linear state feedback design, linear quadratic regulator problem, design of observer-based compensators for multi-input, multi-output linear systems.
Prerequisite:
EE 453
EE 455 Application Development Using Java
Credits:
3
Introduction to the basics of object-oriented programming and Java including JVM (Java Virtual Machine) and development environments, and design of applications. Java language syntax, error handling and exceptions, utility classes, application programming interfaces including input-output streams, graphical user interface, abstract windowing toolkit and swing, event-handling. Design and development of applets, graphics, threads and multi-threading and networking using TCP and UDP.
EE 457 Introduction to Optimization Theory
Credits:
3
Unimodal search, unconstrained optimization with respect to a single variable, optimization with respect to multiple variables, constrained optimization, calculus of variations, principles of optimality and dynamic programming, maximum principle, Kuhn-Tucker conditions for optimality.
Prerequisite:
MATH 202
EE 460 Introduction to Remote Sensing
Credits:
3
Physical bases of remote sensing. Radiation characteristics of natural phenomena. Sensors and platforms. Data interpretation and processing. Applications to crops and land use. Problems and prospects.
Prerequisite:
Consent of the instructor
EE 461 Optical System Design
Credits:
3
Ray optics, wave optics in isotropic and anisotropic media, optical instruments, aberrations, fiber optics, optical sources (passive and active), optical elements, and optical detectors. Analysis of multi-component optical systems using linear system techniques. Design and optimization of individual components and multi-component systems using Code-V software.
Prerequisite:
EE 363 or equivalent
EE 463 Antenna Theory and Design for Wireless Communications
Credits:
3
Antenna characteristics and measurement. Antenna arrays. Dipole antennas. Radiation pattern, input impedance self and mutual impedance for dipole elements and arrays. Aperture antennas. Printed antennas. Field equivalence principle. Unintentional radiation and coupling. Baluns for antennas. Far field radiation patterns for electric and magnetic current sources. Reflection, diffraction,
Prerequisite:
EE 363
EE 470 Mobile Communication
Credits:
3
VHF and UHF communication in land-mobile communication. Channel characterization: fast and slow fading, frequency selectivity, delay and spread coherence bandwidth. Signal loss probability. Interference environments and its control. Frequency control. Diversity techniques for digital land mobile radio. Spatial distribution of offered traffic. Efficient spectral utilization. Capacity calculations and networking.
Prerequisite:
EE 371 and EE 372
EE 471 Introduction to Network Security and Cryptography
Credits:
3
Concepts of data and network security engineering. OSI (Open Systems Interconnection) security architecture. Attacks on cryptographic systems: DoS (Denial of Service), interception, fabrication MoM (Modification of Messages), replay attacks. Symmetric and asymmetric cryptography. The concepts of public and private key cryptography. Secret key schemes: DES (Data Encryption Standards) and IDEA (International Data Encryption Algorithm). Public key schemes: RSA and El Gamal. Elliptic curve algorithms. Signature algorithms, hash functions, key distribution and identification schemes. Mathematical algorithms for attacking cryptographic schemes.
EE 473 Introduction to Digital Signal Processing
Credits:
3
Sampling and quantization schemes. Linear shift invariant systems, stability and causality. Two-dimensional systems and sequences. Flow graphs, digital filter design techniques, FIR and IIR filters. Computation of Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT) techniques. Effects of finite register length. Estimation of power spectra. Discrete time random signals and systems.
Prerequisite:
EE 271 and EE 272
EE 474 Introduction to Optical Fiber Communications
Credits:
3
Optical fiber waveguides. Transmission characteristics of optical fibers. Optical fibers, cables and connections. Optical fiber measurements. Optical sources: Laser, LED. Optical detectors. Receiver noise considerations. Optical fiber systems.
Prerequisite:
EE 373
EE 475 Introduction to Image Processing
Credits:
3
Digital images. Sampling and quantization of images. Color, stereo and video images. Arithmetic operations, gray scale manipulations, distance measures, connectivity. Image transforms. Linear and nonlinear filters. Image enhancement. Image restoration: degradation models, inverse filtering. Image segmentation. Image representation and description techniques.
Prerequisite:
EE 271 and EE 272
EE 477 Introduction to Digital Communication
Credits:
4
Stochastic processes. Noise analysis in analog communication. Data transmission through AWGN channel, bandpass data transmission, equalization. Optimum receiver design, carrier and pulse synchronization. Error probabilities for binary/m-ary transmission. Carrier modulation: Amplitude Modulation (AM), Phase Modulation (PM), Frequency Modulation (FM), Quadrature Amplitude Modulation (QAM) and their performances. Entropy, quantization and rate distortion, information sources, channel capacity, coding.
Prerequisite:
EE 371 and EE 372
EE 478 Introduction to Information Theory
Credits:
3
Information content, conditional, joint and mutual entropy. Binary symmetric channels; channels with and without memory. Source coding algorithms and rate-distortion bounds. Channel capacity and Shannon law. Block codes, cyclic codes, convolution codes.
EE 479 Communication Laboratory
Credits:
1
Demonstration of fundamental signal processing techniques using software packages. Various analog and digital modulation schemes.
Prerequisite:
EE 374, concurrent with 477
EE 480-489 Special Topics
Credits:
3
Special topics in Electrical and Electronic Engineering selected to suit the individual interests of the students. The course is designed to give the student an opportunity to do independent work at an advanced level.
EE 484 Management for Engineers
Credits:
3
Review of management function, how to manage yourself, and organizational performance –Efficiency vs. Effectiveness. Managerial decision making including decision making theory, decision making models, participation styles and implementation in the business environment. Strategic self-presentations and impression formation. Delegation of authority. Management perspective, Management of subordinates, Communication, Teamwork, Work team effectiveness model, Team member roles, Stages of team development, Managing team conflict, Effective teams. Strategic Planning including Vision, Mission, Core values, Definitions for strategy, Strategic thinking, Corporate culture. Core concepts of Marketing –Needs, Wants, Demands, Marketing management, Marketing mix. Presentation skills and Job interviews.
EE 485 Introduction to Fuzzy Control
Credits:
3
Prerequisite:
EE 352
EE 490 Special Studies
Credits:
3
Special topics in Electrical and Electronic Engineering selected to suit the individual interests of the students. The course is designed to give the student an opportunity to do independent work at an advanced level.
EE 491 Special Projects
Credits:
3
Individual project design or research will be the main topics. Students with special interest and qualifications may be permitted to take this course.
EE 492 Project
Credits:
4
Listed under Engineering Core Courses.
EE 493-499 Special Topics
Credits:
3
Special topics in Electrical and Electronic Engineering selected to suit the individual interests of the students. The course is designed to give the student an opportunity to do independent work at an advanced level.
PHYS 391 Physical Electronics I
Credits:
3
Basic principles pertaining to the operation and characteristics of electron devices: Electron ballistics and applications, electron emission (field, thermal and photoelectric.) Energy levels and energy bands. Conduction in metals and semiconductors. Electron statistics, Shottky barriers, p-n junctions and applications. Bipolar, field-effect and metal-oxide -semiconductor (MOS) transistors. Photoelectric devices. Negative resistance devices.
Prerequisite:
PHYS 202 and MATH 251
PHYS 392 Physical Electronics II
Credits:
3
Basic principles pertaining to the operation and characteristics of electron devices: Electron ballistics and applications, electron emission (field, thermal and photoelectric.) Energy levels and energy bands. Conduction in metals and semiconductors. Electron statistics, Shottky barriers, p-n junctions and applications. Bipolar, field-effect and metal-oxide -semiconductor (MOS) transistors. Photoelectric devices. Negative resistance devices.
Prerequisite:
PHYS 202 and MATH 251
PHYS 462 Solid State Electronics
Credits:
3
Crystal structure, electron gas, band theory, electronic conductivity, semiconductors, superconductivity, magnetic properties of matter.
CE 202Introduction to Probability and Statistics for Civil Engineers (Insaat Muhendisleri icin Olasilik ve Istatislige Giris)
Credits:
(3+0+0) 3 ECTS 5
Descriptive statistics. Sets, events, and probability. Random variables, discrete and continuous distributions. Mathematical expectation and correlation analysis. Discrete probability distributions, Poisson process. Continuous probability distributions. Introduction to reliability theory and failure. Functions of random variables. Introduction to estimation theory. Simple and multiple regression, least squares. Statistics of extreme events. Testing of hypothesis. Civil engineering applications.
Prerequisite:
MATH 102
Credits:
3
Nature, scope and methods of economics; a general view of the price system; consumer behavior; theory of the firm; illustrations and applications from the Turkish economy.
Credits:
3
National income and its determination; changes in national income, elements of public finance, money and banking, international trade, macroeconomic policy, economic growth and development; illustrations and applications from the Turkish economy.
Credits:
3
Basic elements of electrical engineering: Devices, circuits, and systems. Interactions of these elements and engineering methods. Discussion of the social and ethical aspects of the engineering profession. Introduction to faculty members and research areas. General and departmental responsibilities of students. Formats, rules and conventions in technical writing. Oral and written presentation tools and techniques. Laboratory work.
Credits:
(2+0+2) 3 ECTS 5
Introducing visual platforms and technologies in civil engineering. Providing a fundamental understanding of engineering drawings. Application of 3D printing. Introduction to Building
Credits:
4
Circuit elements and Kirchhoffs laws. Analysis of resistive circuits. Network theorems. Solutions of linear time-invariant differential equations. Analysis of first and second order circuits. Operational Amplifiers. Sinusoidal steady-state analysis. Power calculations and balanced three-phase circuits. Two port networks.
Credits:
4
Analysis of electrical circuits in frequency domain. Solution of linear time-invariant circuits using Laplace transform. Formulation and solution of state equations. Two-port representations. Filter design.
Prerequisite:
EE 201
Credits:
3
Basic components and principles of electrical circuits: circuit elements variables and measuring devices. Kirchoff's laws, loop and nodal analysis. Network response to DC, exponential and sinusoidal excitation: switching networks, impedances, network functions, Fourier series, phasor methods, real and reactive power, power factor. Transformers and 3-Phase systems.
Credits:
3
Conduction mechanism in metals and semi-conductors. Doping in semi-conductors; p-n junction. Diode characteristics and applications. Power supplies. Bipolar junction transistor operation. Transistor characteristics, transistor biasing. JFET operation and biasing. MOSFET operation and biasing. Introduction to digital electronics. Logic families: RTL, DTL, TTL, ECL, NMOS and CMOS. MSI logic: Multiplexers, Decoders, etc. Memory circuits: ROM's and RAM's.
Prerequisite:
EE 210
Credits:
3
Fundamentals of probability. Random variables, probability distribution and density functions and some specific functions. Operations on one random variable: expectation, moments and transforms of random variables. Vector random variables, joint distribution and density functions. Statistical independence. Operations on multiple random variables.
Credits:
3
Semiconductor properties, Current conduction mechanisms in semiconductors, pn junctions, Operation of the pn junction diode, diode types, operation of the Bipolar Junction Transistor, Operation of the MOSFET, other transistor types.
Prerequisite:
Phys 201 or consent of the instructor.
Credits:
2
Matlab expressions, constants, variables, arrays. Graph plots. Procedures and functions. Matlab syntax. Graphic User Interface (GUI). Linear algebra using Matlab. PSpice overview, Circuit schematics, schematic rules and analysis types. Modeling with PSpice, mixed analog and digital simulation, measurement in PSpice. Programming in Labview.
Credits:
2
Number systems, Boolean algebra, logic networks and their simplification. Logic design with gates. Medium Scale Integration (MSI) and Large Scale Integration (LSI) technologies. Combinatorial and sequential circuits. Counter and shift registers.
Credits:
3
Hardware description languages, digital logic synthesis, computer organization, arithmetic logic, memory and control units, mini and microcomputer systems. Field Programmable Gate Arrays (FPGA). Laboratory Work.
Prerequisite:
EE 243
Credits:
3
Continuous-time signals and systems, basic system properties. Linear time-invariant systems, convolution integral. Fourier series representation of periodic continuous-time signals, Fourier transform of continuous-time signals. Laplace transform. Application to electrical circuits.
Credits:
3
Discrete-time signals and systems, basic system properties. Linear time-invariant systems, convolution sum. Fourier series representation of periodic discrete-time signals, Fourier transform of discrete-time signals. Sampling. Z-transform. Discrete-time filters.
Prerequisite:
EE 271
Credits:
3
Energy technology and resources: Fossil fuels, nuclear, solar, and other types of energy. Three phase systems and magnetic circuits. Transformers: Ideal and physical models and equivalent circuit, and transformer testing. Electromechanical energy conversion. Efficiency and process performance. Sensors and actuators: Relays, stepper and positioning systems, switched reluctance machines, synchronous reluctance machines, direct current (DC) machines. Symmetrical alternating current (AC) synchronous machines. Symmetrical AC induction machines.
Prerequisite:
EE 201
Credits:
3
Introduction to wave mechanics, statistical physics, crystal structure, band theory, relaxation phenomena and electronic conductivity. Application to semiconductors and semiconductor devices.
Prerequisite:
EE 333
Credits:
3
Diode characteristics and applications. Power supplies. BJT Characteristics. BJT biasing. Small-signal modeling and analysis. MOSFET chracteristics and biasing; FET small-signal modeling and analysis. Multistage amplifiers. Coupling techniques and frequency response. Differential amplifiers. High frequency modeling of transistors.
Prerequisite:
EE 201, EE 232
Credits:
3
Feedback and broadbanding techniques. Analog Integrated Circuits. OpAmps. Power amplifiers. Filters and oscillators. Regulated power supplies.
Prerequisite:
EE 333
Credits:
1
Transistor biasing. Measurement of transistor parameters. D.C. power supplies and stabilized circuits. Linear and nonlinear wave shaping.
Credits:
1
Single and multistage transistor amplifiers; feedback in electronic circuits and frequency response. Multivibrator circuits, Logic gates and operational amplifiers.
Prerequisite:
EE 333
Credits:
3
Data structures, structured programming. Numerical solution of multidimensional optimization problems, convergence properties, gradient and Newton methods. Solution of linear, nonlinear equations, and differential equations, numerical integration.
Credits:
3
Analysis of linear control systems by differential equations and transfer function methods using Laplace transforms. Stability of closed loop systems. Routh-Hurwitz criterion, root-locus diagrams. System analysis in frequency domain. Bode, polar plots and Nichols charts. Nyquist stability criterion. Introduction to design and optimization of linear control systems, compensation techniques.
Prerequisite:
MATH 202, EE 201
Credits:
3
Vector analysis for field theory. Static electric and magnetic fields. Time varying electric and magnetic fields. Maxwell's equations.
Prerequisite:
PHYS 201 and MATH 202
Credits:
3
Plane waves in different media, reflection and refraction. Transmission lines. Waveguides and cavity resonators. Antennas and radiating systems.
Prerequisite:
EE 363 or consent of the instructor.
Credits:
3
Building blocks of communication systems. Analog communication methods: Analog amplitude and phase/frequency modulation. Frequency division multiplexing. Sampling and quantization, Pulse tranmission methods: pulse-code modulation, differential pulse-code modulation and delta modulation. Time-division multiplexing. Digital modulation techniques: Digital amplitude and phase/frequency shift keying.
Prerequisite:
EE 271 and (EE 272 or consent of the instructor)
Credits:
3
Random processes, stationarity, independence and ergodicity, correlation function. Spectral characteristics of random processes. Linear systems with random inputs. Special classes of random processes: Markov, Wiener, Poisson and Gaussian processes.
Prerequisite:
EE 214 or consent of the instructor
Credits:
3
Units and principles of measurement. Error of measurement. Probability of error. Electronic measurements and electronic measuring instruments: Instrument amplifiers, signal sources, oscilloscopes, digital frequency meters, digital voltmeters. High frequency and microwave measurement techniques. Laboratory.
Prerequisite:
EE 333, EE 335
Credits:
3
Basic waveshapes and fundamentals of digital electronics. Principles of Metaloxide Semiconductor (MOS) transistor, operation of MOS inverters and gate circuits (NMOS, CMOS). Principles of bipolar junction transistors (BJT), operation of BJT inverters and gate circuits (TTL, ECL, I2L), semiconductor memories.
Prerequisite:
EE 333
Credits:
3
Introduction to wireless communication systems. Impedance matching techniques by using Smith Chart. Noise and distortion in HF systems and amplifiers. RF amplifier analysis and design using Y-parameters. HF mixers and oscillators. Phase locked loops and frequency synthesizers. Modulator and demodulator design.
Credits:
3
Introduction to MOS device theory. NMOS and CMOS digital circuit fundamentals. Layout design rules. Process technologies. Logic and analog simulation of the circuit performance. Electrical and physical design of NMOS and CMOS LSI systems. Student term project.
Credits:
3
Review of four layer devices and their applications. Gate control techniques in power switching elements and their protection. Introduction to solid state energy conversion. AC/DC, AC/AC, DC/AC and DC/DC converters. Introduction to control of electrical drives. Industrial control systems. Relay circuits; ladder diagrams. Sequential control circuits. Case studies.
Prerequisite:
EE 334
Credits:
1
Experiments on SCR triggering circuits, bridge rectifiers, inverters, choppers, programmable logic controllers, control of manipulators.
Credits:
3
Op-Amp fundamentals; linear Op-Amp circuits: DC sources, current to voltage converters, voltage to current converters, current amplifiers, difference amplifiers, instrumentation amplifiers, transducer bridge amplifiers. Active filters; practical Op-Amp limitations; stability and frequency compensation.
Prerequisite:
EE 334
Credits:
3
Nonlinear Circuit Applications: Voltage comparators, Schmitt triggers, precision rectifiers, analog switches, peak detectors, S/H circuits; signal generators: sine wave generators, multivibrators, IC timers, triangular wave generators, triangular-to-sine wave convertors, sawtooth wave generators, V/F and F/V convertors; D-A and A-D convertors: Basic DAC techniques, Bipolar DAC's, high resolution DAC's, DAC-based AD conversion, parallel A-D techniques, Integrating Type ADC's; logarithmic amplifiers: Log/Antilog amplifiers; Phase-Locked Loops.
Prerequisite:
EE 334
Credits:
1
Active filters, phase locked loop (PLL) circuits, counters and dividers, sweep circuits. Function generators, multipliers, comparators and operational amplifier (Op-Amp) characteristics.
Prerequisite:
EE 334
Credits:
4
Elements of microprocessor systems, hardware and software analysis. Addressing techniques. Input-Output devices. Design of small microprocessor systems. Laboratory.
Credits:
4
An overview of design techniques with particular interest to industrial requirements. Fedback implementation: Transducers, sensors, and signal conditioning. Implementation of various types of control actions and servo control. Laboratory.
Prerequisite:
EE 351
Credits:
3
Description and classification of robots. A general view of mechanics and kinematics for joints, links and gripper. Inverse kinematics. Determination of dynamical models. State-space representation and linearization of nonlinear models. Control of robots. Independent joint control. Force control. Trajectory planning and control.
Prerequisite:
EE 351
Credits:
4
Introduction to realization theory for single-input, single-output (SISO) systems. Solution of the state space equations. Structural properties: controllability, observability, detectability, stabilizability. State feedback design, observer design and design of observer based compensations for SISO systems.
Prerequisite:
EE 351
Credits:
3
Fundamentals of polynomial matrix theory. Finite and infinite pole/zero structure of transfer matrices. Realization theory: minimality and minimal realizations of transfer matrices. Linear state feedback design, linear quadratic regulator problem, design of observer-based compensators for multi-input, multi-output linear systems.
Prerequisite:
EE 453
Credits:
3
Introduction to the basics of object-oriented programming and Java including JVM (Java Virtual Machine) and development environments, and design of applications. Java language syntax, error handling and exceptions, utility classes, application programming interfaces including input-output streams, graphical user interface, abstract windowing toolkit and swing, event-handling. Design and development of applets, graphics, threads and multi-threading and networking using TCP and UDP.
Credits:
3
Unimodal search, unconstrained optimization with respect to a single variable, optimization with respect to multiple variables, constrained optimization, calculus of variations, principles of optimality and dynamic programming, maximum principle, Kuhn-Tucker conditions for optimality.
Prerequisite:
MATH 202
Credits:
3
Physical bases of remote sensing. Radiation characteristics of natural phenomena. Sensors and platforms. Data interpretation and processing. Applications to crops and land use. Problems and prospects.
Prerequisite:
Consent of the instructor
Credits:
3
Ray optics, wave optics in isotropic and anisotropic media, optical instruments, aberrations, fiber optics, optical sources (passive and active), optical elements, and optical detectors. Analysis of multi-component optical systems using linear system techniques. Design and optimization of individual components and multi-component systems using Code-V software.
Prerequisite:
EE 363 or equivalent
Credits:
3
Antenna characteristics and measurement. Antenna arrays. Dipole antennas. Radiation pattern, input impedance self and mutual impedance for dipole elements and arrays. Aperture antennas. Printed antennas. Field equivalence principle. Unintentional radiation and coupling. Baluns for antennas. Far field radiation patterns for electric and magnetic current sources. Reflection, diffraction,
Prerequisite:
EE 363
Credits:
3
VHF and UHF communication in land-mobile communication. Channel characterization: fast and slow fading, frequency selectivity, delay and spread coherence bandwidth. Signal loss probability. Interference environments and its control. Frequency control. Diversity techniques for digital land mobile radio. Spatial distribution of offered traffic. Efficient spectral utilization. Capacity calculations and networking.
Prerequisite:
EE 371 and EE 372
Credits:
3
Concepts of data and network security engineering. OSI (Open Systems Interconnection) security architecture. Attacks on cryptographic systems: DoS (Denial of Service), interception, fabrication MoM (Modification of Messages), replay attacks. Symmetric and asymmetric cryptography. The concepts of public and private key cryptography. Secret key schemes: DES (Data Encryption Standards) and IDEA (International Data Encryption Algorithm). Public key schemes: RSA and El Gamal. Elliptic curve algorithms. Signature algorithms, hash functions, key distribution and identification schemes. Mathematical algorithms for attacking cryptographic schemes.
Credits:
3
Sampling and quantization schemes. Linear shift invariant systems, stability and causality. Two-dimensional systems and sequences. Flow graphs, digital filter design techniques, FIR and IIR filters. Computation of Discrete Fourier Transform (DFT), Fast Fourier Transform (FFT) techniques. Effects of finite register length. Estimation of power spectra. Discrete time random signals and systems.
Prerequisite:
EE 271 and EE 272
Credits:
3
Optical fiber waveguides. Transmission characteristics of optical fibers. Optical fibers, cables and connections. Optical fiber measurements. Optical sources: Laser, LED. Optical detectors. Receiver noise considerations. Optical fiber systems.
Prerequisite:
EE 373
Credits:
3
Digital images. Sampling and quantization of images. Color, stereo and video images. Arithmetic operations, gray scale manipulations, distance measures, connectivity. Image transforms. Linear and nonlinear filters. Image enhancement. Image restoration: degradation models, inverse filtering. Image segmentation. Image representation and description techniques.
Prerequisite:
EE 271 and EE 272
Credits:
4
Stochastic processes. Noise analysis in analog communication. Data transmission through AWGN channel, bandpass data transmission, equalization. Optimum receiver design, carrier and pulse synchronization. Error probabilities for binary/m-ary transmission. Carrier modulation: Amplitude Modulation (AM), Phase Modulation (PM), Frequency Modulation (FM), Quadrature Amplitude Modulation (QAM) and their performances. Entropy, quantization and rate distortion, information sources, channel capacity, coding.
Prerequisite:
EE 371 and EE 372
Credits:
3
Information content, conditional, joint and mutual entropy. Binary symmetric channels; channels with and without memory. Source coding algorithms and rate-distortion bounds. Channel capacity and Shannon law. Block codes, cyclic codes, convolution codes.
Credits:
1
Demonstration of fundamental signal processing techniques using software packages. Various analog and digital modulation schemes.
Prerequisite:
EE 374, concurrent with 477
Credits:
3
Special topics in Electrical and Electronic Engineering selected to suit the individual interests of the students. The course is designed to give the student an opportunity to do independent work at an advanced level.
Credits:
3
Review of management function, how to manage yourself, and organizational performance –Efficiency vs. Effectiveness. Managerial decision making including decision making theory, decision making models, participation styles and implementation in the business environment. Strategic self-presentations and impression formation. Delegation of authority. Management perspective, Management of subordinates, Communication, Teamwork, Work team effectiveness model, Team member roles, Stages of team development, Managing team conflict, Effective teams. Strategic Planning including Vision, Mission, Core values, Definitions for strategy, Strategic thinking, Corporate culture. Core concepts of Marketing –Needs, Wants, Demands, Marketing management, Marketing mix. Presentation skills and Job interviews.
Credits:
3
Prerequisite:
EE 352
Credits:
3
Special topics in Electrical and Electronic Engineering selected to suit the individual interests of the students. The course is designed to give the student an opportunity to do independent work at an advanced level.
Credits:
3
Individual project design or research will be the main topics. Students with special interest and qualifications may be permitted to take this course.
Credits:
4
Listed under Engineering Core Courses.
Credits:
3
Special topics in Electrical and Electronic Engineering selected to suit the individual interests of the students. The course is designed to give the student an opportunity to do independent work at an advanced level.
Credits:
3
Basic principles pertaining to the operation and characteristics of electron devices: Electron ballistics and applications, electron emission (field, thermal and photoelectric.) Energy levels and energy bands. Conduction in metals and semiconductors. Electron statistics, Shottky barriers, p-n junctions and applications. Bipolar, field-effect and metal-oxide -semiconductor (MOS) transistors. Photoelectric devices. Negative resistance devices.
Prerequisite:
PHYS 202 and MATH 251
Credits:
3
Basic principles pertaining to the operation and characteristics of electron devices: Electron ballistics and applications, electron emission (field, thermal and photoelectric.) Energy levels and energy bands. Conduction in metals and semiconductors. Electron statistics, Shottky barriers, p-n junctions and applications. Bipolar, field-effect and metal-oxide -semiconductor (MOS) transistors. Photoelectric devices. Negative resistance devices.
Prerequisite:
PHYS 202 and MATH 251
Credits:
3
Crystal structure, electron gas, band theory, electronic conductivity, semiconductors, superconductivity, magnetic properties of matter.
Credits:
(3+0+0) 3 ECTS 5
Descriptive statistics. Sets, events, and probability. Random variables, discrete and continuous distributions. Mathematical expectation and correlation analysis. Discrete probability distributions, Poisson process. Continuous probability distributions. Introduction to reliability theory and failure. Functions of random variables. Introduction to estimation theory. Simple and multiple regression, least squares. Statistics of extreme events. Testing of hypothesis. Civil engineering applications.
Prerequisite:
MATH 102
