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Major of Electrical Engineering

Overview

Electrical engineering is a branch of engineering that basically deals with the study and application of electronics, electricity, and electromagnetic waves. This branch first became a well-known occupation at the end of the 19th century after the invention of the telephone, electric telegraph, and electric power use and distribution.

Electrical engineering includes electronic engineering. This distinction is only found in the US. Electrical engineering deals with the applications associated with systems like electric power systems, and electrical machines. However, electronic engineering is the study of electronic systems including digital computers, optoelectronics, integrated circuits, communication systems, and radar.

Electrical engineering is a branch of engineering that basically deals with the study and application of electronics, electricity, and electromagnetic waves. This branch first became a well-known occupation at the end of the 19th century after the invention of the telephone, electric telegraph, and electric power use and distribution. It now has a variety of applications such as computers, electronics, power engineering, biomedical engineering, signal processing, telecommunications, and RF engineering.

Alternate Text Electrical Engineers design power systems
Alternate Text Electrical Engineers design Electronic Systems

Electrical engineering includes electronic engineering. This distinction is only found in the US. Electrical engineering deals with the applications associated with systems like electric power systems, and electrical machines. However, electronic engineering is the study of electronic systems including digital computers, optoelectronics, integrated circuits, communication systems, and radar.

In other words, electrical engineering is usually concentrated on using electricity to transmit electric data or power, while electronic engineering uses electricity to process information. Both of them can overlap, for instance, in the increase of power electronics, and the study of the behavior of large electrical grids under the control of electronics and computers.

Computer engineering is a branch that combines many fields of electrical engineering and computer science required to enhance computer software and hardware. It is necessary for computer engineers to have experience in electronic engineering , software skills, and hardware-software integration instead of only software engineering or electronics. Computer engineering is necessary for many software and hardware aspects of computing, from the design of microprocessors, microcomputers, personal computers, and supercomputers, to simple electronic circuit design. This field of engineering not only concentrates on how computers themselves work, but also how they integrate into the larger image.

Traditional jobs involving computer engineers include writing firmware and software for embedded microcontrollers, fabricating VLSI chips, designing analog detectors, designing operating systems, and designing mixed signal circuit boards. Computer engineers are also involved in robotics research, which depends heavily on using digital systems to control and observe electrical systems like sensors, motors, and communications.

In many universities, computer engineering students are allowed to select in-depth study classes in their junior and senior year, because the full breadth of understanding used in the fabrication and application of computers is beyond the target of an undergraduate degree. Other institutions ask their students to finish one year of general engineering before selecting computer engineering as their primary focus.

Michael Farady formed the foundation of electric motor technology
Electricity has been a hot subject of research since the early 17th century. The first electrical engineer was William Gilbert who fabricated the versorium: an apparatus that sensed the presence of statically charged bodies. He was also the first to draw a clear difference between static electricity and magnetism and is credited with coining the word electricity. In 1775, Alessandro Volta's scientific experimentations designed the electrophorus, a device that generated a static electric charge, and in 1800 Volta developed the voltaic pile, a forerunner of the electric battery.

The invention of the transistor in late 1947 by William B. Shockley opened the door for more smaller devices which led to the development of the integrated circuit in 1958 by Jack Kilby; and independently in 1959, by Robert Noyce. In 1968, Ted Hoff et al at the Intel Corporation invented the first microprocessor, which was the basis of the personal computer. The Intel 4004 was a four-bit processor produced in 1971, but in 1973, the Intel 8080, an eight-bit processor, led to the creation of the first personal computer.

In 1972, the first computer engineering degree in the US was established at Case Western Reserve University. In 2004, there were 170 ABET-accredited computer engineering programs in the US. In Europe, accreditation of computer engineering programs is done by a different agency – part of the EQANIE network. Due to the growth in job requirements for engineers, who can concurrently develop hardware, software and firmware; as well as manage all forms of computer systems used in industry, some tertiary school around the world offer a bachelor's degree generally called computer engineering. Both computer electronic engineering programs include analog and digital circuit design in their curricula. As with most engineering disciplines, having a good background in mathematics and science is necessary for computer engineers.

Specialty Areas

Electrical engineering has many sub-disciplines, the most popular of which are listed below. Although there are electrical engineers who focus exclusively on one of these sub-disciplines, many deal with a combination of them. Sometimes certain fields, such as electronic engineering and computer engineering, are considered separate disciplines in their own right.

Power engineering:

Power engineering deals with the generation, transmission and distribution of electricity, as well as the design of a range of related devices. These include transformers, electric generators, electric motors, high voltage engineering, and power electronics. In many regions of the world, governments maintain an electrical network called a power grid that connects a variety of generators together with users of their energy.

Alternate Text Power plant

Users purchase electrical energy from the grid, avoiding the costly exercise of having to generate their own. Power engineers may work on the design and maintenance of the power grid as well as the power systems that connect to it. Such systems are called on-grid power systems and may supply the grid with additional power, draw power from the grid or do both. Power engineers may also work on systems that do not connect to the grid, called off-grid power systems, which in some cases are preferable to on-grid systems. The future includes Satellite controlled power systems, with feedback in real time to prevent power surges and prevent blackouts.

Alternate Text Control engineering in space flights

The modeling of a diverse range of dynamic systems and the design of controllers is one of the main tasks of control engineering. To implement such controller’s, electrical engineers can use electrical circuits, DSP, micro controllers and PLCs. Control engineering has a huge range of applications from the flight and propulsion systems of commercial airliners to the cruise control present in many modern cars. It also plays an important role in industrial automation.

Alternate Text Control engineering in production lines.

Control engineers utilize feedback when designing control systems. In a car with cruise control the vehicle's speed is monitored and fed back to the system which adjusts the power output accordingly. Where there is regular feedback, control theory is used to determine the system response to feedback.

Alternate Text Electronic circuit

Electronic engineering deals with the design and testing of any electronic circuits that use the properties of components. Resistors, capacitors, inductors, diodes and transistors are used to achieve a particular function in a system. The tuned circuit, which allows the user of a radio to filter out all signals except the single station, is a simple example of such circuit.

Alternate Text Electronic components

Before the integrated circuit was invented in 1959, electronic circuits were constructed from discrete components. These discrete circuits consumed much power and space, and were limited in speed, although they were common in some applications. By contrast, integrated circuits packed a large number of tiny electrical components, mainly transistors, into a small chip. This resulted in the powerful computers and other electronic devices we see today.

Microelectronics

Microelectronics engineers have the ability to deal with the design and micro fabrication of very small electronic circuit components for use in an integrated circuit or sometimes for use on their own as a general electronic component. Common microelectronic components are semiconductor transistors.
Nano-electronics is the further scaling of devices down to nanometer scale. Modern devices are in the nanometer regime, with below 100 nm processing having been standard since about 2010.

Alternate Text Computer motherboard

Microelectronic components are chemically fabricated wafers of semiconductors such as silicon, Si, (at higher frequencies, compound semiconductors like gallium arsenide and indium phosphide) for obtaining the desired transport of electronic charge and control of current. The field of micro electronics contains a significant amount of chemistry and material science and needs the electronic engineer working in the field to have a good working knowledge of the effects of quantum mechanics.

Alternate Text Signal processing engineering

The analysis and manipulation of signals is the main task of signal processing. Signals are divided into analog or digital signals. In analog signals, the signal varies continuously according to the data, but in digital signals, the signal varies according to a series of discrete values representing the information. For analog signals, signal processing may involve the filtering or amplification of audio signals for audio equipment or the modulation and demodulation of signals for telecommunications. For digital signals, signal processing may concentrate on the compression, error detection and error correction of digitally sampled signals.
Signal processing is a very hot area that is rapidly expanding with new applications in most of the fields of electrical engineering such as communications, control, radar, audio engineering, broadcast engineering, power electronics, and bio-medical engineering. Analog signal processing is very important in the design of many control systems.
In every type of modern electronic systems, DSP processor ICs are found and products – including SDTV | HDTV sets, Hi-Fi audio equipment, radios and mobile communication devices, mobile phones, control systems, camcorders and digital cameras, noise cancelling headphones, digital spectrum analyzers, intelligent missile guidance, radar, GPS based cruise control systems and all kinds of image processing, video processing.

Alternate Text Satellite earth station

As the transmission characteristics of a system are determined, telecommunication engineers have the ability to design the transmitter and receiver needed for such systems. Sometimes we can combine these two to form a two-way communication device, which is known as a transceiver. Power consumption is the key consideration in the design of transmitters as this is closely related to the signal strength. If the signal strength of a transmitter is insufficient, the signal data will be distorted by noise.

Alternate Text Flight instruments

The sensors of larger electrical systems are usually used with instrumentation. For example, a thermocouple might be used to help ensure that a furnace's temperature remains constant. So, instrumentation engineering is often viewed as the counterpart of control engineering.

Telecommunications

Telecommunications engineering focuses on the transmission of information across a medium such as a coaxial cable, free space, or fiber optics. Transmission via free space requires data to be encoded using a carrier signal wave to shift the data to a carrier frequency suitable for transmission, this is the modulation process. Analog modulation technique includes amplitude modulation (AM) and frequency modulation (FM). Selecting a modulation technique affects the cost and performance of any system and these factors must be balanced by the engineer.

Instrumentation

Instrumentation engineering deals with the design of devices to measure physical quantities like pressure, fluid flow, and temperature. A good understanding of physics is required to design instrumentation that often extends beyond electromagnetic theory. Flight instruments that measure variables such as wind speed and altitude to enable pilots to control aircraft analytically are a good example of the working field. Similarly, thermocouples use the Peltier-Seebeck effect for measuring the temperature gradient.

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Vision

The Educational Objectives of the Electrical Engineering program describe the expected accomplishments of our graduates during the first few years following their graduation from the program. The graduates will have the knowledge and skills needed to:  

  • Adopt and continuously practice life-long learning through acquiring new knowledge, improving skills and professional education.
  • Actively contribute to the advancement of engineering practice in the public or private sectors in the scope of electrical engineering domains.
  • Graduating professional engineers who apply ethical and social aspects in the electrical engineering problems.
  • Striving for a balance between theory, laboratory, and design experience by providing fundamental electrical engineering courses as well as exposing students to cutting edge technologies for design and implementation.  
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Mission

The mission of the Electrical Engineering program is to provide outstanding education of sufficient depth and breadth to its undergraduate students in accordance with national and international high standards with the goal of responding to the pressing needs of rapidly changing technology in the Electrical Engineering field in KSA society. The program provides graduates with highest level of knowledge, skills and attitudes required for them to be leaders and beneficial to the community.

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HOD Image
Amro Hussien Abdelhamied Yousef , Head of Electrical Engineering Department

This is your door to innovation, creativity, and infinite possibilities. From renewable energy projects to communication and transformational technologies, electrical engineering provides the infrastructure for modern life in many ways. The University of Business and Technology offers a prestigious program that provides students with theoretical knowledge, experiential skills, and moral sensibilities to contribute to society. With dedicated faculty, state-of-the-art facilities, and industry-aligned curriculum, students can discover, innovate, and leave a lasting impact on society.

The family of Electrical Engineering welcomes you to discover, innovate, and leave a lasting mark on the world.

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Requirements Program

UBT’s Requirement Program consists of non-credited courses and English courses aimed at improving students’ language proficiency before they begin their undergraduate studies, as well as to develop and improve students’ knowledge of mathematical and analytical techniques through the medium of English Language. The program also familiarizes students with the requirements of undergraduate study, study skills and disciplines of all forms. The program consists of the following courses: Language Levels(English Language Academy "ELA") Pre - Calculus(depending on the placement test) At first, newly admitted students are required to take an English placement test to determine his / her level. Each student will be placed according to his/ her test results in the following list:

COURSE UNITS PREREQUISITE
MATH-099-1 Pre-Calculus 3 EL-400-1 English Language Level 4
EL-100-1 English Language Level 1 1 --
EL-200-1 Academic English Level 2 1 EL-100-1 English Language Level 1
EL-300-1 Academic English Level 3 1 EL-200-1 Academic English Level 2
EL-400-1 Academic English Level 4 1 EL-300-1 Academic English Level 3

Students may seek course exemptions at ELA by submitting one of the following options:

  • TOEFL iBT result of 75/120 and IELTS result of 5/9
  • Pass the ELA placement test with a very high score 100/120.
  • Student may be exempted from MATH099 by passing the pre-calculus course placement test

Freshmen (Fall)

Course Code Course Name Units
CHEM101 GENERAL CHEMISTRY I 3
SE 111 INTRO. TO PROGRAM 3
Total : 6

Freshmen (Spring)

Course Code Course Name Units
PHYS101 GENERAL PHYSICS I 3
MATH102 CALCULUS II 4
ISLS201 ISLAMIC 2 2
SE 121 OBJECT -ORIENT PROG 3
Total : 12

Sophomore (Fall)

Course Code Course Name Units
PHYS102 GENERAL PHYSICS II 3
MATH204 INTRODUCTION TO DIFFERENTIAL EQUATIONS 3
ARAB201 ARABIC LANGUAGE 2 2
SOC 140 COMMUNICATION SKILLS 3
EE 211 LOGIC DESIGN 4
Total : 15

Sophomore (Spring)

Course Code Course Name Units
IE 331 PROBABILITY AND ENGINEERING STATISTICS 3
MATH203 CALCULUS III 4
IE 201 INTRODUCTION TO ENGINEERING DESIGN I 3
ISLS301 ISLAMIC CULTURE 3 (BUSINESS ETHICS) 3
EE 221 ELECTRIC CIRCUITS 4
Total : 17

Junior (Fall)

Course Code Course Name Units
MATH241 APPLIED LINEAR ALGEBRA I 3
EE 311 ELECTRONIC DEV. &CIRC 4
EE 312 SIGNALS & SYSTEMS 3
EE 313 ELECTROMAGNETIC FIELDS 3
EE 314 POWER SYSTEMS I 3
BUS 351 ENTREPRENEURSHIP 3
Total : 19

Junior (Spring)

Course Code Course Name Units
EE 321 ELECTRONIC CIRC & APPLICATIONS 3
EE 322 SYSTEMS ANALYSIS 4
EE 323 MICROCONTROLLERS APPLICATIONS 3
EE 324 ELECTROMAGNETICS WAVES 3
EE 325 COMMUNICATION SYSTEMS 3
Total : 16

Senior (Fall)

Course Code Course Name Units
EE 499 SENIOR PROJECT 4
EE 412 SEMICONDUCTOR DEVICES 3
ELCTEE1 MAJOR ELECTIVE 1 3
ELCTEE2 MAJOR ELECTIVE 2 3
ELCTEE3 MAJOR ELECTIVE 3 3
EE 300 FIELD TRAINING 2
Total : 18

Senior (Spring)

Course Code Course Name Units
EE 413 CONTROL SYSTEMS 3
EE 422 INTRO. TO DIGITAL SIGNAL PROCESSING 3
ELCTEE4 MAJOR ELECTIVE 4 3
ELCTEE5 MAJOR ELECTIVE 5 4
EE 429 INDEPENDENT DESIGN 3
Total : 16
Plain Total : 119
Total Number of Courses : 38

ELECTRICAL ENGINEERING (COMPUTER ENGINEERING)


Credit Hours: 2
Prerequisite: ARAB101-2
Credit Hours: 3
Prerequisite: EL400-1, MATH099-2
matter and measurements. atoms, molecules, and ions. chemical formulas. chemical reactions and equations. sources of the elements. thermochemistry. physical behavior of gases. the electronic structure of atoms. covalent bonding; molecular substances. an introduction to organic chemistry.
Credit Hours: 4
Prerequisite: PHYS101-1, PHYS101-2, SE111-1
representation of digital information. analysis, design, and evaluation of combinational and sequential logic circuits. debugging techniques. use of computer facilities for circuit simulation, cad, and report preparation and presentation. introduction to structure and operation of digital computers. design projects. written reports are required for each project.
Credit Hours: 4
Prerequisite: MATH204-1, PHYS102-2
analysis of electrical networks incorporating passive and active elements. basic laws and techniques of analysis. transient and forced response of linear circuits. ac steady state power and three-phase circuits. periodic excitation and frequency of response. computer analysis tools. design projects are implemented and tested in the laboratory. laboratory reports with revisions are required for each project.
Credit Hours: 4
Prerequisite: EE221-1
physical electronics underlying the operation of electronic devices. diodes, diode models, and diode circuits. transistors, transistor models, and transistor circuits. dc, small signal, and frequency analysis of transistor amplifiers. compound transistor configurations. design projects are implemented and tested in the laboratory.
Credit Hours: 3
Prerequisite: EE221-1
representation of signals in the time and frequency domains. fourier series. fourier and laplace transform methods for analysis of linear systems. introduction to state space models. introduction to sampling and discrete systems analysis via z transforms.
Credit Hours: 3
Prerequisite: EE221-1, MATH102-1
application of electrostatics and magnetostatics to engineering problems involving conductors, dielectrics, semiconductors, and magnetic materials. motion of charged particles. relationship between fields and circuit parameters in the context of capacitance and inductance.
Credit Hours: 3
Prerequisite: EE221-1
fundamentals of power system planning, operation, and management. power generation, transmission and distribution.
Credit Hours: 3
Prerequisite: EE311-2
analysis and design of linear amplifiers. the effects of feedback in tuned, video, and operational amplifiers. noise, stability, and frequency compensation. applications encompass active filters, oscillators, phase lock loops and nonlinear operations such as multiplication, modulation, sampling, and analog-to-digital conversion. computer analysis tools.
Credit Hours: 4
Prerequisite: EE312-2
modeling and analysis of physical systems using frequency and time-domain methods. state variable techniques for continuous and discrete-time systems. controllability and observability. stability of linear systems with feedback; root locus, bode and nyquist methods. linearization of nonlinear systems. computational methods for analysis of linear systems.
Credit Hours: 3
Prerequisite: EE211-1, EE221-1, SE121-1
design of software and interface hardware to use a microcontroller as an on-line, real-time element in data acquisition, filtering and control systems. use of clocks, dac's, adc's, speech synthesis modules, and movement generators. design project. written and oral presentations of laboratory results.
Credit Hours: 3
Prerequisite: EE313-1
maxwell's equations. wave propagation, reflection, and transmission. transmission lines and waveguides. radiation and antennas.
Credit Hours: 3
Prerequisite: EE312-2, IE331-1
communication of information over noisy channels. fourier transform review, spectral analysis, and sampling. amplitude, phase, and frequency modulation of a sinusoidal carrier. time and frequency division multiplexing. random processes and analysis of communication of systems in noise. elements of digital communication systems.
Credit Hours: 3
Prerequisite: EE311-2
principles and applications of contemporary solid state devices such as light-emitting diodes, injection lasers, solar cells, p-n-p-n diodes, scrs and triacs, transistors, mesfets and modfets, and fundamentals of integrated circuits. impact of nanostructures on devices.
Credit Hours: 3
Prerequisite: EE322-1
analysis and design of control systems incorporating a digital computer as the controlling element. building blocks of digital control. measures of control system performance. frequency domain and state variable methods of control design. optimal control methods. state variable estimation. implementation issues. use of computer-aided software tools for simulation and design.
Credit Hours: 3
Prerequisite: EE312-2
discrete-time signals and systems. the z transform. digital filters; stability, frequency response, canonic realizations and state equations. fourier methods for discrete signal representation; fourier transform of sequences, the discrete fourier transform, and the fft. design of linear digital filters in time and frequency domains. spectrum analysis and filtering via the fft.
Credit Hours: 3
Prerequisite: EE211-1, EE312-2, EE322-1
experimental design project undertaken by the student by special arrangement with a faculty member of the department of electrical engineering.
Credit Hours: 4
Prerequisite: EE211-1
design and evaluation of control and data structures for digital systems. hardware design languages are used to describe and design alternative register transfer level architectures and control units with a micro-programming emphasis. consideration of computer architecture, memories, digital interfacing timing and synchronization, and microprocessor systems.
Credit Hours: 3
Prerequisite: ENG101-7
Credit Hours: 3
Prerequisite: MATH102-1
descriptive statistics with graphical summaries. basic concepts of probability and its engineering applications. probability distributions of random variables. confidence intervals. introduction to hypothesis testing. correlation and linear regression.
Credit Hours: 4
Prerequisite: MATH102-1
vector algebra and application in 3-d-different coordinate systems in 3-d. analytic geometry in 3-d; (lines & planes), plane curves, tangents and normal. curvature. functions of several variables: partial derivatives & differentials, extreme and applications. line, double and triple integrals with applications in various coordinates. vector analysis: differentiation of a vector function, directional derivatives. differential operators (grad, div, curl). integration of a vector faction. divergence, green's and stokes' theorems.
Credit Hours: 3
Prerequisite: MATH102-1
introduction equations of first order and first degree. methods of solutions of linear equations of higher order with constant coefficients. differential equations with variable coefficients; variation of parameters. system of linear differential equations. laplace transform. series solutions for ordinary points. introduction to partial differential equations.
Credit Hours: 3
Prerequisite: MATH102-1
vector spaces, subspaces, basis and dimension. matrices. reduced form and rank of a matrix. determinant and inverse of a matrix. solution of system of linear equations. linear transformation. kernel and range. eigen-vectors and eigen-values.
Credit Hours: 3
Prerequisite: EL400-1
Credit Hours: 3
Prerequisite: SE111-1
Credit Hours: 3
Prerequisite: SE121-1
software engineering concepts: the software life cycle and other software-development process models; specification techniques, design methodologies, performance analysis, and verification techniques; team-oriented software design and development, and project management techniques; use of appropriate design and debugging tools for a modern programming language. homework and laboratory projects that emphasize design and the use/features of a modern programming language will be given.
Credit Hours: 3
Prerequisite: EE211-1
this course covers: introduction to the theory, design, and implementation of software systems to support the management of computing resources; topics include the synchronization of concurrent processes, memory management, processor management, scheduling, device management, file systems, and protection.
Credit Hours: 3
Prerequisite: EL400-1, ENG101-7
survey of theories of interpersonal communication in social and professional relational contexts with attention to roles, social exchange, dimensions of communication both socially and professionally, development and deterioration of communications.

ELECTRICAL ENGINEERING (ELECTRICAL POWER)


Credit Hours: 2
Prerequisite: ARAB101-2
Credit Hours: 3
Prerequisite: EL400-1, MATH099-2
matter and measurements. atoms, molecules, and ions. chemical formulas. chemical reactions and equations. sources of the elements. thermochemistry. physical behavior of gases. the electronic structure of atoms. covalent bonding; molecular substances. an introduction to organic chemistry.
Credit Hours: 4
Prerequisite: PHYS101-1, PHYS101-2, SE111-1
representation of digital information. analysis, design, and evaluation of combinational and sequential logic circuits. debugging techniques. use of computer facilities for circuit simulation, cad, and report preparation and presentation. introduction to structure and operation of digital computers. design projects. written reports are required for each project.
Credit Hours: 4
Prerequisite: MATH204-1, PHYS102-2
analysis of electrical networks incorporating passive and active elements. basic laws and techniques of analysis. transient and forced response of linear circuits. ac steady state power and three-phase circuits. periodic excitation and frequency of response. computer analysis tools. design projects are implemented and tested in the laboratory. laboratory reports with revisions are required for each project.
Credit Hours: 2
Prerequisite: EE312-2
training is an important aspect of the educational process in the electrical engineering program. students are required to join an electrical-engineering-oriented organization in a government or private sector as a full time trainee for at least 8 weeks during summer prior to their graduation. the aim of the student training is allowing students to acquire the experience and knowledge of real-world work environment as well as applying knowledge and skills they learned in the program in real life and in team working.
Credit Hours: 4
Prerequisite: EE221-1
physical electronics underlying the operation of electronic devices. diodes, diode models, and diode circuits. transistors, transistor models, and transistor circuits. dc, small signal, and frequency analysis of transistor amplifiers. compound transistor configurations. design projects are implemented and tested in the laboratory.
Credit Hours: 3
Prerequisite: EE221-1
representation of signals in the time and frequency domains. fourier series. fourier and laplace transform methods for analysis of linear systems. introduction to state space models. introduction to sampling and discrete systems analysis via z transforms.
Credit Hours: 3
Prerequisite: EE221-1, MATH102-1
application of electrostatics and magnetostatics to engineering problems involving conductors, dielectrics, semiconductors, and magnetic materials. motion of charged particles. relationship between fields and circuit parameters in the context of capacitance and inductance.
Credit Hours: 3
Prerequisite: EE221-1
fundamentals of power system planning, operation, and management. power generation, transmission and distribution.
Credit Hours: 3
Prerequisite: EE311-2
analysis and design of linear amplifiers. the effects of feedback in tuned, video, and operational amplifiers. noise, stability, and frequency compensation. applications encompass active filters, oscillators, phase lock loops and nonlinear operations such as multiplication, modulation, sampling, and analog-to-digital conversion. computer analysis tools.
Credit Hours: 4
Prerequisite: EE312-2
modeling and analysis of physical systems using frequency and time-domain methods. state variable techniques for continuous and discrete-time systems. controllability and observability. stability of linear systems with feedback; root locus, bode and nyquist methods. linearization of nonlinear systems. computational methods for analysis of linear systems.
Credit Hours: 3
Prerequisite: EE211-1, EE221-1, SE121-1
design of software and interface hardware to use a microcontroller as an on-line, real-time element in data acquisition, filtering and control systems. use of clocks, dac's, adc's, speech synthesis modules, and movement generators. design project. written and oral presentations of laboratory results.
Credit Hours: 3
Prerequisite: EE313-1
maxwell's equations. wave propagation, reflection, and transmission. transmission lines and waveguides. radiation and antennas.
Credit Hours: 3
Prerequisite: EE312-2, IE331-1
communication of information over noisy channels. fourier transform review, spectral analysis, and sampling. amplitude, phase, and frequency modulation of a sinusoidal carrier. time and frequency division multiplexing. random processes and analysis of communication of systems in noise. elements of digital communication systems.
Credit Hours: 3
Prerequisite: EE311-2, EE322-1
principles and applications of contemporary solid state devices such as light-emitting diodes, injection lasers, solar cells, p-n-p-n diodes, scrs and triacs, transistors, mesfets and modfets, and fundamentals of integrated circuits. impact of nanostructures on devices.
Credit Hours: 3
Prerequisite: EE322-1
analysis and design of control systems incorporating a digital computer as the controlling element. building blocks of digital control. measures of control system performance. frequency domain and state variable methods of control design. optimal control methods. state variable estimation. implementation issues. use of computer-aided software tools for simulation and design.
Credit Hours: 3
Prerequisite: EE312-2
discrete-time signals and systems. the z transform. digital filters; stability, frequency response, canonic realizations and state equations. fourier methods for discrete signal representation; fourier transform of sequences, the discrete fourier transform, and the fft. design of linear digital filters in time and frequency domains. spectrum analysis and filtering via the fft.
Credit Hours: 3
Prerequisite: EE312-2, EE314-1, EE322-1
experimental design project undertaken by the student by special arrangement with a faculty member of the department of electrical engineering.
Credit Hours: 3
Prerequisite: EE314-1
sustainable energy sources such as photovoltaics, solar-thermal power, and wind farms. integration of distributed generation sources into the grid. modern energy storage. the smart grid.
Credit Hours: 3
Prerequisite: EE311-2, EE314-1
power converters for power processing, regulation, and control as applied to computer and telecommunication systems, transportation systems, industrial drives, and renewable power conversion systems. power semiconductor device characteristics, transformers, and dc/dc converters including design projects.
Credit Hours: 4
Prerequisite: EE311-2, EE314-1
fundamental operation, equivalent circuit models, physical structure, and control of electric machinery; basic power electronic drives, three-phase systems, magnetic circuit equivalents, basic electro-mechanics, transformers, basic rotating machines; different electric machines including switched reluctance machines, stepper motors, three-phase synchronous machines, induction or asynchronous machines, and dc machines; basic electronic drives for each machine type along with open-loop control strategies. weekly laboratory experiments accompany the lectures to demonstrate most of these concepts.
Credit Hours: 3
Prerequisite: EE311-2, EE314-1, EE463-2
current and voltage transformers and protection. relays. circuits breakers and fuses. data transmission. team design project.
Credit Hours: 3
Prerequisite: EE314-1
modern power system planning and analysis. power network dynamics and simulation. computer tools for power system simulation.
Credit Hours: 4
Prerequisite: EE322-1
selection of topic: literature review; project design planning, arranging for data collection, and experimental work. experimental work and data collection or field study (if any). data processing analysis and results. preparation of the first draft of final report. presentation of the project.
Credit Hours: 3
Prerequisite: ENG101-7
Credit Hours: 3
Prerequisite: MATH102-1
descriptive statistics with graphical summaries. basic concepts of probability and its engineering applications. probability distributions of random variables. confidence intervals. introduction to hypothesis testing. correlation and linear regression.
Credit Hours: 4
Prerequisite: MATH102-1
vector algebra and application in 3-d-different coordinate systems in 3-d. analytic geometry in 3-d; (lines & planes), plane curves, tangents and normal. curvature. functions of several variables: partial derivatives & differentials, extreme and applications. line, double and triple integrals with applications in various coordinates. vector analysis: differentiation of a vector function, directional derivatives. differential operators (grad, div, curl). integration of a vector faction. divergence, green's and stokes' theorems.
Credit Hours: 3
Prerequisite: MATH102-1
introduction equations of first order and first degree. methods of solutions of linear equations of higher order with constant coefficients. differential equations with variable coefficients; variation of parameters. system of linear differential equations. laplace transform. series solutions for ordinary points. introduction to partial differential equations.
Credit Hours: 3
Prerequisite: MATH102-1
vector spaces, subspaces, basis and dimension. matrices. reduced form and rank of a matrix. determinant and inverse of a matrix. solution of system of linear equations. linear transformation. kernel and range. eigen-vectors and eigen-values.
Credit Hours: 3
Prerequisite: EL400-1
Credit Hours: 3
Prerequisite: SE111-1
Credit Hours: 3
Prerequisite: EL400-1, ENG101-7
survey of theories of interpersonal communication in social and professional relational contexts with attention to roles, social exchange, dimensions of communication both socially and professionally, development and deterioration of communications.

ELECTRICAL ENGINEERING (ELECTRONICS&COMMUNICATIONS)


Credit Hours: 2
Prerequisite: ARAB101-2
Credit Hours: 3
Prerequisite: EL400-1, MATH099-2
matter and measurements. atoms, molecules, and ions. chemical formulas. chemical reactions and equations. sources of the elements. thermochemistry. physical behavior of gases. the electronic structure of atoms. covalent bonding; molecular substances. an introduction to organic chemistry.
Credit Hours: 4
Prerequisite: PHYS101-1, PHYS101-2, SE111-1
representation of digital information. analysis, design, and evaluation of combinational and sequential logic circuits. debugging techniques. use of computer facilities for circuit simulation, cad, and report preparation and presentation. introduction to structure and operation of digital computers. design projects. written reports are required for each project.
Credit Hours: 4
Prerequisite: MATH204-1, PHYS102-2
analysis of electrical networks incorporating passive and active elements. basic laws and techniques of analysis. transient and forced response of linear circuits. ac steady state power and three-phase circuits. periodic excitation and frequency of response. computer analysis tools. design projects are implemented and tested in the laboratory. laboratory reports with revisions are required for each project.
Credit Hours: 2
Prerequisite: EE312-2
training is an important aspect of the educational process in the electrical engineering program. students are required to join an electrical-engineering-oriented organization in a government or private sector as a full time trainee for at least 8 weeks during summer prior to their graduation. the aim of the student training is allowing students to acquire the experience and knowledge of real-world work environment as well as applying knowledge and skills they learned in the program in real life and in team working.
Credit Hours: 4
Prerequisite: EE221-1
physical electronics underlying the operation of electronic devices. diodes, diode models, and diode circuits. transistors, transistor models, and transistor circuits. dc, small signal, and frequency analysis of transistor amplifiers. compound transistor configurations. design projects are implemented and tested in the laboratory.
Credit Hours: 3
Prerequisite: EE221-1
representation of signals in the time and frequency domains. fourier series. fourier and laplace transform methods for analysis of linear systems. introduction to state space models. introduction to sampling and discrete systems analysis via z transforms.
Credit Hours: 3
Prerequisite: EE221-1, MATH102-1
application of electrostatics and magnetostatics to engineering problems involving conductors, dielectrics, semiconductors, and magnetic materials. motion of charged particles. relationship between fields and circuit parameters in the context of capacitance and inductance.
Credit Hours: 3
Prerequisite: EE221-1
fundamentals of power system planning, operation, and management. power generation, transmission and distribution.
Credit Hours: 3
Prerequisite: EE311-2
analysis and design of linear amplifiers. the effects of feedback in tuned, video, and operational amplifiers. noise, stability, and frequency compensation. applications encompass active filters, oscillators, phase lock loops and nonlinear operations such as multiplication, modulation, sampling, and analog-to-digital conversion. computer analysis tools.
Credit Hours: 4
Prerequisite: EE312-2
modeling and analysis of physical systems using frequency and time-domain methods. state variable techniques for continuous and discrete-time systems. controllability and observability. stability of linear systems with feedback; root locus, bode and nyquist methods. linearization of nonlinear systems. computational methods for analysis of linear systems.
Credit Hours: 3
Prerequisite: EE211-1, EE221-1, SE121-1
design of software and interface hardware to use a microcontroller as an on-line, real-time element in data acquisition, filtering and control systems. use of clocks, dac's, adc's, speech synthesis modules, and movement generators. design project. written and oral presentations of laboratory results.
Credit Hours: 3
Prerequisite: EE313-1
maxwell's equations. wave propagation, reflection, and transmission. transmission lines and waveguides. radiation and antennas.
Credit Hours: 3
Prerequisite: EE312-1, EE312-2, IE331-1, IE331-2
communication of information over noisy channels. fourier transform review, spectral analysis, and sampling. amplitude, phase, and frequency modulation of a sinusoidal carrier. time and frequency division multiplexing. random processes and analysis of communication of systems in noise. elements of digital communication systems.
Credit Hours: 3
Prerequisite: EE311-2
principles and applications of contemporary solid state devices such as light-emitting diodes, injection lasers, solar cells, p-n-p-n diodes, scrs and triacs, transistors, mesfets and modfets, and fundamentals of integrated circuits. impact of nanostructures on devices.
Credit Hours: 3
Prerequisite: EE322-1
analysis and design of control systems incorporating a digital computer as the controlling element. building blocks of digital control. measures of control system performance. frequency domain and state variable methods of control design. optimal control methods. state variable estimation. implementation issues. use of computer-aided software tools for simulation and design.
Credit Hours: 3
Prerequisite: EE312-2
discrete-time signals and systems. the z transform. digital filters; stability, frequency response, canonic realizations and state equations. fourier methods for discrete signal representation; fourier transform of sequences, the discrete fourier transform, and the fft. design of linear digital filters in time and frequency domains. spectrum analysis and filtering via the fft.
Credit Hours: 3
Prerequisite: EE312-2, EE322-1, EE325-1, IE322-1
experimental design project undertaken by the student by special arrangement with a faculty member of the department of electrical engineering.
Credit Hours: 3
Prerequisite: EE324-1
analysis and synthesis of antennas. canonical antenna elements. antenna arrays. terrestrial wave propagation.
Credit Hours: 3
Prerequisite: EE324-1
principles and techniques of optical engineering, including geometrical optics, optical fibers and systems, sources and detectors, measurements, imaging, lenses, wave optics, polarization, interference, diffraction, optical fourier transforms, holography, interferometry, integrated optics, frequency conversion, interaction of light and matter.
Credit Hours: 3
Prerequisite: EE324-1
an introduction to the general hardware components, system parameters, and architectures of radio-frequency (rf) and microwave wireless systems. practical examples from communication as well as radar/sensor systems.
Credit Hours: 3
Prerequisite: EE312-2
fundamentals of digital communication systems. encoding of analog signals for digital transmission. basic information theory. source encoding techniques. baseband data transmission. digital carrier modulation schemes. multiplexing techniques. basic error control coding.
Credit Hours: 4
Prerequisite: EE211-1, EE311-2
switching, timing, wave shaping, and logic circuits to generate waveforms and functions used in pulse systems, instrumentation and computers. design and analysis of bipolar and mos digital integrated circuits. bistable circuits and digital memories. system implementation with digital integrated circuits. layout of digital integrated circuits. integrated circuit packages. computer analysis tools. design and laboratory evaluation of digital electronic circuits.
Credit Hours: 4
Prerequisite: EE322-1
selection of topic: literature review; project design planning, arranging for data collection, and experimental work. experimental work and data collection or field study (if any). data processing analysis and results. preparation of the first draft of final report. presentation of the project.
Credit Hours: 3
Prerequisite: ENG101-7
Credit Hours: 3
Prerequisite: MATH102-1
descriptive statistics with graphical summaries. basic concepts of probability and its engineering applications. probability distributions of random variables. confidence intervals. introduction to hypothesis testing. correlation and linear regression.
Credit Hours: 4
Prerequisite: MATH102-1
vector algebra and application in 3-d-different coordinate systems in 3-d. analytic geometry in 3-d; (lines & planes), plane curves, tangents and normal. curvature. functions of several variables: partial derivatives & differentials, extreme and applications. line, double and triple integrals with applications in various coordinates. vector analysis: differentiation of a vector function, directional derivatives. differential operators (grad, div, curl). integration of a vector faction. divergence, green's and stokes' theorems.
Credit Hours: 3
Prerequisite: MATH102-1
introduction equations of first order and first degree. methods of solutions of linear equations of higher order with constant coefficients. differential equations with variable coefficients; variation of parameters. system of linear differential equations. laplace transform. series solutions for ordinary points. introduction to partial differential equations.
Credit Hours: 3
Prerequisite: MATH102-1
vector spaces, subspaces, basis and dimension. matrices. reduced form and rank of a matrix. determinant and inverse of a matrix. solution of system of linear equations. linear transformation. kernel and range. eigen-vectors and eigen-values.
Credit Hours: 3
Prerequisite: EL400-1
Credit Hours: 3
Prerequisite: SE111-1
Credit Hours: 3
Prerequisite: EL400-1, ENG101-7
survey of theories of interpersonal communication in social and professional relational contexts with attention to roles, social exchange, dimensions of communication both socially and professionally, development and deterioration of communications.

ELECTRICAL ENGINEERING (GENERAL)


Credit Hours: 2
Prerequisite: ARAB101-2
Credit Hours: 3
Prerequisite: EL400-1, MATH099-2
matter and measurements. atoms, molecules, and ions. chemical formulas. chemical reactions and equations. sources of the elements. thermochemistry. physical behavior of gases. the electronic structure of atoms. covalent bonding; molecular substances. an introduction to organic chemistry.
Credit Hours: 4
Prerequisite: PHYS101-1, PHYS101-2, SE111-1
representation of digital information. analysis, design, and evaluation of combinational and sequential logic circuits. debugging techniques. use of computer facilities for circuit simulation, cad, and report preparation and presentation. introduction to structure and operation of digital computers. design projects. written reports are required for each project.
Credit Hours: 4
Prerequisite: MATH204-1, PHYS102-2
analysis of electrical networks incorporating passive and active elements. basic laws and techniques of analysis. transient and forced response of linear circuits. ac steady state power and three-phase circuits. periodic excitation and frequency of response. computer analysis tools. design projects are implemented and tested in the laboratory. laboratory reports with revisions are required for each project.
Credit Hours: 4
Prerequisite: EE221-1
physical electronics underlying the operation of electronic devices. diodes, diode models, and diode circuits. transistors, transistor models, and transistor circuits. dc, small signal, and frequency analysis of transistor amplifiers. compound transistor configurations. design projects are implemented and tested in the laboratory.
Credit Hours: 3
Prerequisite: EE221-1
representation of signals in the time and frequency domains. fourier series. fourier and laplace transform methods for analysis of linear systems. introduction to state space models. introduction to sampling and discrete systems analysis via z transforms.
Credit Hours: 3
Prerequisite: EE221-1, MATH102-1
application of electrostatics and magnetostatics to engineering problems involving conductors, dielectrics, semiconductors, and magnetic materials. motion of charged particles. relationship between fields and circuit parameters in the context of capacitance and inductance.
Credit Hours: 3
Prerequisite: EE221-1
fundamentals of power system planning, operation, and management. power generation, transmission and distribution.
Credit Hours: 3
Prerequisite: EE311-2
analysis and design of linear amplifiers. the effects of feedback in tuned, video, and operational amplifiers. noise, stability, and frequency compensation. applications encompass active filters, oscillators, phase lock loops and nonlinear operations such as multiplication, modulation, sampling, and analog-to-digital conversion. computer analysis tools.
Credit Hours: 4
Prerequisite: EE312-2
modeling and analysis of physical systems using frequency and time-domain methods. state variable techniques for continuous and discrete-time systems. controllability and observability. stability of linear systems with feedback; root locus, bode and nyquist methods. linearization of nonlinear systems. computational methods for analysis of linear systems.
Credit Hours: 3
Prerequisite: EE211-1, EE221-1, SE121-1
design of software and interface hardware to use a microcontroller as an on-line, real-time element in data acquisition, filtering and control systems. use of clocks, dac's, adc's, speech synthesis modules, and movement generators. design project. written and oral presentations of laboratory results.
Credit Hours: 3
Prerequisite: EE313-1
maxwell's equations. wave propagation, reflection, and transmission. transmission lines and waveguides. radiation and antennas.
Credit Hours: 3
Prerequisite: EE312-2, IE331-1, IE331-2
communication of information over noisy channels. fourier transform review, spectral analysis, and sampling. amplitude, phase, and frequency modulation of a sinusoidal carrier. time and frequency division multiplexing. random processes and analysis of communication of systems in noise. elements of digital communication systems.
Credit Hours: 3
Prerequisite: EE311-2
principles and applications of contemporary solid state devices such as light-emitting diodes, injection lasers, solar cells, p-n-p-n diodes, scrs and triacs, transistors, mesfets and modfets, and fundamentals of integrated circuits. impact of nanostructures on devices.
Credit Hours: 3
Prerequisite: EE322-1
analysis and design of control systems incorporating a digital computer as the controlling element. building blocks of digital control. measures of control system performance. frequency domain and state variable methods of control design. optimal control methods. state variable estimation. implementation issues. use of computer-aided software tools for simulation and design.
Credit Hours: 3
Prerequisite: EE312-2
discrete-time signals and systems. the z transform. digital filters; stability, frequency response, canonic realizations and state equations. fourier methods for discrete signal representation; fourier transform of sequences, the discrete fourier transform, and the fft. design of linear digital filters in time and frequency domains. spectrum analysis and filtering via the fft.
Credit Hours: 3
Prerequisite: EE312-2, EE322-1, EE325-1
experimental design project undertaken by the student by special arrangement with a faculty member of the department of electrical engineering.
Credit Hours: 3
Prerequisite: ENG101-7
Credit Hours: 3
Prerequisite: MATH102-1
descriptive statistics with graphical summaries. basic concepts of probability and its engineering applications. probability distributions of random variables. confidence intervals. introduction to hypothesis testing. correlation and linear regression.
Credit Hours: 4
Prerequisite: MATH102-1
vector algebra and application in 3-d-different coordinate systems in 3-d. analytic geometry in 3-d; (lines & planes), plane curves, tangents and normal. curvature. functions of several variables: partial derivatives & differentials, extreme and applications. line, double and triple integrals with applications in various coordinates. vector analysis: differentiation of a vector function, directional derivatives. differential operators (grad, div, curl). integration of a vector faction. divergence, green's and stokes' theorems.
Credit Hours: 3
Prerequisite: MATH102-1
introduction equations of first order and first degree. methods of solutions of linear equations of higher order with constant coefficients. differential equations with variable coefficients; variation of parameters. system of linear differential equations. laplace transform. series solutions for ordinary points. introduction to partial differential equations.
Credit Hours: 3
Prerequisite: MATH102-1
vector spaces, subspaces, basis and dimension. matrices. reduced form and rank of a matrix. determinant and inverse of a matrix. solution of system of linear equations. linear transformation. kernel and range. eigen-vectors and eigen-values.
Credit Hours: 3
Prerequisite: EL400-1
Credit Hours: 3
Prerequisite: SE111-1
Credit Hours: 3
Prerequisite: EL400-1, ENG101-7
survey of theories of interpersonal communication in social and professional relational contexts with attention to roles, social exchange, dimensions of communication both socially and professionally, development and deterioration of communications.

ELECTRICAL ENGINEERING (NANO TECHNOLOGY)


Credit Hours: 2
Prerequisite: ARAB101-2
Credit Hours: 3
Prerequisite: EL400-1, MATH099-2
matter and measurements. atoms, molecules, and ions. chemical formulas. chemical reactions and equations. sources of the elements. thermochemistry. physical behavior of gases. the electronic structure of atoms. covalent bonding; molecular substances. an introduction to organic chemistry.
Credit Hours: 4
Prerequisite: PHYS101-1, SE111-1
representation of digital information. analysis, design, and evaluation of combinational and sequential logic circuits. debugging techniques. use of computer facilities for circuit simulation, cad, and report preparation and presentation. introduction to structure and operation of digital computers. design projects. written reports are required for each project.
Credit Hours: 4
Prerequisite: MATH204-1, PHYS102-2
analysis of electrical networks incorporating passive and active elements. basic laws and techniques of analysis. transient and forced response of linear circuits. ac steady state power and three-phase circuits. periodic excitation and frequency of response. computer analysis tools. design projects are implemented and tested in the laboratory. laboratory reports with revisions are required for each project.
Credit Hours: 2
Prerequisite: EE312-2
training is an important aspect of the educational process in the electrical engineering program. students are required to join an electrical-engineering-oriented organization in a government or private sector as a full time trainee for at least 8 weeks during summer prior to their graduation. the aim of the student training is allowing students to acquire the experience and knowledge of real-world work environment as well as applying knowledge and skills they learned in the program in real life and in team working.
Credit Hours: 4
Prerequisite: EE221-1
physical electronics underlying the operation of electronic devices. diodes, diode models, and diode circuits. transistors, transistor models, and transistor circuits. dc, small signal, and frequency analysis of transistor amplifiers. compound transistor configurations. design projects are implemented and tested in the laboratory.
Credit Hours: 3
Prerequisite: EE221-1
representation of signals in the time and frequency domains. fourier series. fourier and laplace transform methods for analysis of linear systems. introduction to state space models. introduction to sampling and discrete systems analysis via z transforms.
Credit Hours: 3
Prerequisite: EE221-1, MATH102-1
application of electrostatics and magnetostatics to engineering problems involving conductors, dielectrics, semiconductors, and magnetic materials. motion of charged particles. relationship between fields and circuit parameters in the context of capacitance and inductance.
Credit Hours: 3
Prerequisite: EE221-1
fundamentals of power system planning, operation, and management. power generation, transmission and distribution.
Credit Hours: 3
Prerequisite: EE311-2
analysis and design of linear amplifiers. the effects of feedback in tuned, video, and operational amplifiers. noise, stability, and frequency compensation. applications encompass active filters, oscillators, phase lock loops and nonlinear operations such as multiplication, modulation, sampling, and analog-to-digital conversion. computer analysis tools.
Credit Hours: 4
Prerequisite: EE312-2
modeling and analysis of physical systems using frequency and time-domain methods. state variable techniques for continuous and discrete-time systems. controllability and observability. stability of linear systems with feedback; root locus, bode and nyquist methods. linearization of nonlinear systems. computational methods for analysis of linear systems.
Credit Hours: 3
Prerequisite: EE211-1, EE221-1, SE121-1
design of software and interface hardware to use a microcontroller as an on-line, real-time element in data acquisition, filtering and control systems. use of clocks, dac's, adc's, speech synthesis modules, and movement generators. design project. written and oral presentations of laboratory results.
Credit Hours: 3
Prerequisite: EE313-1
maxwell's equations. wave propagation, reflection, and transmission. transmission lines and waveguides. radiation and antennas.
Credit Hours: 3
Prerequisite: EE312-2, IE331-2
communication of information over noisy channels. fourier transform review, spectral analysis, and sampling. amplitude, phase, and frequency modulation of a sinusoidal carrier. time and frequency division multiplexing. random processes and analysis of communication of systems in noise. elements of digital communication systems.
Credit Hours: 3
Prerequisite: EE311-2, EE312-2
principles and applications of contemporary solid state devices such as light-emitting diodes, injection lasers, solar cells, p-n-p-n diodes, scrs and triacs, transistors, mesfets and modfets, and fundamentals of integrated circuits. impact of nanostructures on devices.
Credit Hours: 3
Prerequisite: EE322-1
analysis and design of control systems incorporating a digital computer as the controlling element. building blocks of digital control. measures of control system performance. frequency domain and state variable methods of control design. optimal control methods. state variable estimation. implementation issues. use of computer-aided software tools for simulation and design.
Credit Hours: 3
Prerequisite: EE312-2
discrete-time signals and systems. the z transform. digital filters; stability, frequency response, canonic realizations and state equations. fourier methods for discrete signal representation; fourier transform of sequences, the discrete fourier transform, and the fft. design of linear digital filters in time and frequency domains. spectrum analysis and filtering via the fft.
Credit Hours: 3
Prerequisite: EE312-2, EE322-1, EE491-1
experimental design project undertaken by the student by special arrangement with a faculty member of the department of electrical engineering.
Credit Hours: 3
Prerequisite: CHEM101-1, CHEM101-2, PHYS102-1, PHYS102-2
basic concepts of nanoscience; new physical properties at these scales (~1-100 nm); different approaches to fabricate, image, characterize and manipulate nanostructures and nanodevices; current and potential applications in areas as diverse as electronics, health and energy.
Credit Hours: 3
Prerequisite: CHEM101-1, CHEM101-2, PHYS101-1, PHYS101-2
typical synthesis strategies and structures of low dimensional materials including nanoparticles, nanowires, nanotubes and hierarchical nanostructures. magnetic, optical, electrical, and mechanical properties.
Credit Hours: 4
Prerequisite: EE492-1
broader societal implications of implementing nanotechnology locally and globally. by framing the course material in terms of such ethical, economic, and environmental costs and benefits, this course will be instrumental in enhancing awareness and interest in science and engineering, as well as imbuing a greater sense of personal and professional responsibility. guest lectures, writing assignments, and oral presentations.
Credit Hours: 3
Prerequisite: EE412-2, EE491-1
fundamentals of electron and hole confinement in quantum well, wire, and dot heterostructures, confinement of photons in photonic band gap structures, density of states in quantum wires; transport in quantum wires and dots, and single wells (swnt) and multi-wall carbon nanotubes; operation of nano field effect transistors; absorption and emission in quantum wires and dot structures; fabrication methodology to grow and assemble quantum wires and dots including self-assembly techniques for light-emitting diodes, transistors, lasers, and nanoelectromechanical (nem) structures. nanodevice architecture.
Credit Hours: 3
Prerequisite: CHEM101-1, CHEM101-2, EE491-1, PHYS101-1, PHYS101-2
materials characterization at the nanoscale. standard and advanced methods in scanning probe microscopy, electron microscopy, and focused ion beams. self-assembled and lithographically defined structures are treated. nanoscale particles, tubes, films, and structures. applications for enhanced mechanical, electronic, magnetic, optical, and biological properties weekly laboratory experiments accompany the lectures to demonstrate most of these concepts.
Credit Hours: 4
Prerequisite: EE322-1
selection of topic: literature review; project design planning, arranging for data collection, and experimental work. experimental work and data collection or field study (if any). data processing analysis and results. preparation of the first draft of final report. presentation of the project.
Credit Hours: 3
Prerequisite: ENG101-7
Credit Hours: 3
Prerequisite: MATH102-1
descriptive statistics with graphical summaries. basic concepts of probability and its engineering applications. probability distributions of random variables. confidence intervals. introduction to hypothesis testing. correlation and linear regression.
Credit Hours: 4
Prerequisite: MATH102-1
vector algebra and application in 3-d-different coordinate systems in 3-d. analytic geometry in 3-d; (lines & planes), plane curves, tangents and normal. curvature. functions of several variables: partial derivatives & differentials, extreme and applications. line, double and triple integrals with applications in various coordinates. vector analysis: differentiation of a vector function, directional derivatives. differential operators (grad, div, curl). integration of a vector faction. divergence, green's and stokes' theorems.
Credit Hours: 3
Prerequisite: MATH102-1
introduction equations of first order and first degree. methods of solutions of linear equations of higher order with constant coefficients. differential equations with variable coefficients; variation of parameters. system of linear differential equations. laplace transform. series solutions for ordinary points. introduction to partial differential equations.
Credit Hours: 3
Prerequisite: MATH102-1
vector spaces, subspaces, basis and dimension. matrices. reduced form and rank of a matrix. determinant and inverse of a matrix. solution of system of linear equations. linear transformation. kernel and range. eigen-vectors and eigen-values.
Credit Hours: 3
Prerequisite: EL400-1
Credit Hours: 3
Prerequisite: SE111-1
Credit Hours: 3
Prerequisite: EL400-1, ENG101-7
survey of theories of interpersonal communication in social and professional relational contexts with attention to roles, social exchange, dimensions of communication both socially and professionally, development and deterioration of communications.

ELECTRICAL ENGINEERING (RENEWABLE ENERGY)


Credit Hours: 2
Prerequisite: ARAB101-2
Credit Hours: 3
Prerequisite: EL400-1, MATH099-2
matter and measurements. atoms, molecules, and ions. chemical formulas. chemical reactions and equations. sources of the elements. thermochemistry. physical behavior of gases. the electronic structure of atoms. covalent bonding; molecular substances. an introduction to organic chemistry.
Credit Hours: 4
Prerequisite: PHYS101-1, SE111-1
representation of digital information. analysis, design, and evaluation of combinational and sequential logic circuits. debugging techniques. use of computer facilities for circuit simulation, cad, and report preparation and presentation. introduction to structure and operation of digital computers. design projects. written reports are required for each project.
Credit Hours: 4
Prerequisite: MATH204-1, PHYS102-2
analysis of electrical networks incorporating passive and active elements. basic laws and techniques of analysis. transient and forced response of linear circuits. ac steady state power and three-phase circuits. periodic excitation and frequency of response. computer analysis tools. design projects are implemented and tested in the laboratory. laboratory reports with revisions are required for each project.
Credit Hours: 2
Prerequisite: EE312-2
training is an important aspect of the educational process in the electrical engineering program. students are required to join an electrical-engineering-oriented organization in a government or private sector as a full time trainee for at least 8 weeks during summer prior to their graduation. the aim of the student training is allowing students to acquire the experience and knowledge of real-world work environment as well as applying knowledge and skills they learned in the program in real life and in team working.
Credit Hours: 4
Prerequisite: EE221-1
physical electronics underlying the operation of electronic devices. diodes, diode models, and diode circuits. transistors, transistor models, and transistor circuits. dc, small signal, and frequency analysis of transistor amplifiers. compound transistor configurations. design projects are implemented and tested in the laboratory.
Credit Hours: 3
Prerequisite: EE221-1
representation of signals in the time and frequency domains. fourier series. fourier and laplace transform methods for analysis of linear systems. introduction to state space models. introduction to sampling and discrete systems analysis via z transforms.
Credit Hours: 3
Prerequisite: EE221-1, MATH102-1
application of electrostatics and magnetostatics to engineering problems involving conductors, dielectrics, semiconductors, and magnetic materials. motion of charged particles. relationship between fields and circuit parameters in the context of capacitance and inductance.
Credit Hours: 3
Prerequisite: EE221-1
fundamentals of power system planning, operation, and management. power generation, transmission and distribution.
Credit Hours: 3
Prerequisite: EE311-2
analysis and design of linear amplifiers. the effects of feedback in tuned, video, and operational amplifiers. noise, stability, and frequency compensation. applications encompass active filters, oscillators, phase lock loops and nonlinear operations such as multiplication, modulation, sampling, and analog-to-digital conversion. computer analysis tools.
Credit Hours: 4
Prerequisite: EE312-2
modeling and analysis of physical systems using frequency and time-domain methods. state variable techniques for continuous and discrete-time systems. controllability and observability. stability of linear systems with feedback; root locus, bode and nyquist methods. linearization of nonlinear systems. computational methods for analysis of linear systems.
Credit Hours: 3
Prerequisite: EE211-1, EE221-1, SE121-1
design of software and interface hardware to use a microcontroller as an on-line, real-time element in data acquisition, filtering and control systems. use of clocks, dac's, adc's, speech synthesis modules, and movement generators. design project. written and oral presentations of laboratory results.
Credit Hours: 3
Prerequisite: EE313-1
maxwell's equations. wave propagation, reflection, and transmission. transmission lines and waveguides. radiation and antennas.
Credit Hours: 3
Prerequisite: EE312-2, IE331-2
communication of information over noisy channels. fourier transform review, spectral analysis, and sampling. amplitude, phase, and frequency modulation of a sinusoidal carrier. time and frequency division multiplexing. random processes and analysis of communication of systems in noise. elements of digital communication systems.
Credit Hours: 3
Prerequisite: EE311-2
principles and applications of contemporary solid state devices such as light-emitting diodes, injection lasers, solar cells, p-n-p-n diodes, scrs and triacs, transistors, mesfets and modfets, and fundamentals of integrated circuits. impact of nanostructures on devices.
Credit Hours: 3
Prerequisite: EE322-1
analysis and design of control systems incorporating a digital computer as the controlling element. building blocks of digital control. measures of control system performance. frequency domain and state variable methods of control design. optimal control methods. state variable estimation. implementation issues. use of computer-aided software tools for simulation and design.
Credit Hours: 3
Prerequisite: EE312-2
discrete-time signals and systems. the z transform. digital filters; stability, frequency response, canonic realizations and state equations. fourier methods for discrete signal representation; fourier transform of sequences, the discrete fourier transform, and the fft. design of linear digital filters in time and frequency domains. spectrum analysis and filtering via the fft.
Credit Hours: 3
Prerequisite: EE312-2, EE322-1, EE461-1
experimental design project undertaken by the student by special arrangement with a faculty member of the department of electrical engineering.
Credit Hours: 3
Prerequisite: EE314-1
sustainable energy sources such as photovoltaics, solar-thermal power, and wind farms. integration of distributed generation sources into the grid. modern energy storage. the smart grid.
Credit Hours: 3
Prerequisite: EE314-1, EE321-2
power converters for power processing, regulation, and control as applied to computer and telecommunication systems, transportation systems, industrial drives, and renewable power conversion systems. power semiconductor device characteristics, transformers, and dc/dc converters including design projects.
Credit Hours: 4
Prerequisite: EE314-1
planning, design and application of solar energy technology. solar energy conversion, solar cells, solar modules and panels. current trends in photovoltaic energy, solar cell materials, design and installation of solar panels for residential and industrial applications. weekly laboratory experiments accompany the lectures to demonstrate related concepts.
Credit Hours: 3
Prerequisite: EE314-1
principles of systems and technologies that harvest energy from the wind. planning, design, and measurements tools. turbines types, components, electrical system, wind energy operation.
Credit Hours: 3
Prerequisite: EE314-1
engineering aspects (types, design, processing, etc.) of energy storage in conjunction with renewable energy sources. components and systems focusing on batteries and super capacitors. smart grid technologies and integration of renewable sources.
Credit Hours: 4
Prerequisite: EE322-1
selection of topic: literature review; project design planning, arranging for data collection, and experimental work. experimental work and data collection or field study (if any). data processing analysis and results. preparation of the first draft of final report. presentation of the project.
Credit Hours: 3
Prerequisite: ENG101-7
Credit Hours: 3
Prerequisite: MATH102-1
descriptive statistics with graphical summaries. basic concepts of probability and its engineering applications. probability distributions of random variables. confidence intervals. introduction to hypothesis testing. correlation and linear regression.
Credit Hours: 4
Prerequisite: MATH102-1
vector algebra and application in 3-d-different coordinate systems in 3-d. analytic geometry in 3-d; (lines & planes), plane curves, tangents and normal. curvature. functions of several variables: partial derivatives & differentials, extreme and applications. line, double and triple integrals with applications in various coordinates. vector analysis: differentiation of a vector function, directional derivatives. differential operators (grad, div, curl). integration of a vector faction. divergence, green's and stokes' theorems.
Credit Hours: 3
Prerequisite: MATH102-1
introduction equations of first order and first degree. methods of solutions of linear equations of higher order with constant coefficients. differential equations with variable coefficients; variation of parameters. system of linear differential equations. laplace transform. series solutions for ordinary points. introduction to partial differential equations.
Credit Hours: 3
Prerequisite: MATH102-1
vector spaces, subspaces, basis and dimension. matrices. reduced form and rank of a matrix. determinant and inverse of a matrix. solution of system of linear equations. linear transformation. kernel and range. eigen-vectors and eigen-values.
Credit Hours: 3
Prerequisite: EL400-1
Credit Hours: 3
Prerequisite: SE111-1
Credit Hours: 3
Prerequisite: ENG101-7
survey of theories of interpersonal communication in social and professional relational contexts with attention to roles, social exchange, dimensions of communication both socially and professionally, development and deterioration of communications.

Career Prospects

Electrical Engineering graduates with specialized tracks in Electronics/Communications, Renewable Energy, Electrical Power, and Computer Engineering have a wide range of career opportunities across various industries, including energy, technology, healthcare, and telecommunications. Some potential career paths include: 

Energy Sector: 

  • Design and operation of conventional and renewable power plants. 

  • Development and optimization of smart grids and energy storage systems. 

  • Power System Engineer, focusing on generation, transmission, and distribution. 

  • Renewable Energy Engineer, specializing in solar, wind, or hydroelectric projects. 

  • Power System Protection Engineer ensuring the reliability and safety of power systems. 

  • Operation and maintenance of electrical transmission and distribution networks. 

Electronics and Communications: 

  • Design and implementation of telecommunication systems, including:  

  • Microwave, optical, laser, mobile, and satellite communication systems. 

  • Development of smart circuits and advanced electronic devices. 

  • Maintenance of medical electronic devices and healthcare systems. 

  • Roles such as Broadcasting Engineer or Telecommunications Engineer in the media and communication industries. 

Control and Automation: 

  • Control Engineer, designing and optimizing control systems and sensors. 

  • Automation Engineer, focusing on industrial and urban development projects. 

  • Instrumentation Engineer, specializing in monitoring and control equipment for various applications. 

Computer and Network Engineering: 

  • Software/Hardware Engineer, working on embedded systems and IoT devices. 

  • Network Engineer or Network Administrator Engineer, focusing on network design and cybersecurity. 

  • Development of computer-aided design systems for electronic and power systems. 

Healthcare Technology: 

  • Maintenance and innovation of healthcare devices and diagnostic equipment. 

  • Electrical Systems Analyst, improving the performance and reliability of medical electronics. 

General Engineering Roles: 

  • Design and Testing Engineer, responsible for the development and commissioning of electrical and electronic systems. 

  • Operation and Maintenance Engineer, ensuring system efficiency and reliability. 

  • Electrical and Electronic Design Engineer, creating innovative solutions for complex engineering challenges. 

Research

Electrical Engineering Department 
The department of Electrical Engineering has the following Research groups.  Research areas: 

  1. Video/Image/Signal Processing  
  2. Machine Learning  
  3. Computer Vision  
  4. LIDAR  
  5. Surveillance and remote sensing  
  6. Multi-modal data  
  7. Photovoltaic System Integration  
  8. Renewable Energy  
  9. Electric Vehicle   
  10. Power Electronics  
  11. Monitoring systems  
  12. Electricity Market and Policies  
  13. Energy Sustainability and Management   
  14. Measurements and Sensors Applications.  
  15. Wireless Remote Control & Monitoring Systems.  
  16. Design & Fabrication Bio-optical Sensors.  
  17. Nanoantennas and Nanosensors 
  18. Plasmonics 
  19. Wireless Sensor Networks  
  20. a-Si Solar Cells 

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