Master in Electrical and Electronics Engineering
College of Engineering – Department of Electrical and Computer Engineering
1. Introduction \ Program Mission
Electrical & Electronics Engineering is the profession concerned with most of
the systems that we encounter in our modern lives, from the cell phone that
keeps us connected on the move to the satellite dish that allows us to receive
signals from deep space. Advanced technology pervades our lives in such
areas such as communications, electronics, and computers. The next-generation electrical & electronics engineers will need to integrate knowledge
across many disciplines in engineering as well as in physical sciences, mathematics, business, and humanities.
The Electrical and Computer Engineering Department at the University of
Sharjah has developed a Master of Science program in Electrical & Electronics Engineering that will prepare its graduates to confidently confront the
challenges of the information technology revolution and prepare them for
highly rewarding careers by providing advanced knowledge and skills. The
Department aspires to have well-recognized engineering programs involving
excellence in teaching and research.
The Department has highly qualified faculty and lecturers with many years of
academic and practical experience both regionally and internationally. The
expertise of the academic staff spans the main disciplines of Electrical &
Electronics Engineering. In addition, the Department has laboratory facilities
that are furnished with high quality state-of-the-art equipment facilitating advanced experimental work for teaching, research and consultancy.
2. Program Goals (Objectives)
The overall objective of the Master of Science in Electrical/ Engineering is
to strengthen the academic and professional knowledge of its students. The
program is also intended to provide students with depth in their chosen area
of focus. The specific objectives of the program are to:
1- Educate graduate students with the advanced knowledge and skills required to solve research oriented technical problems in electrical & electronics engineering.
2- Provide graduate students with an advanced grasp of theories and the
insight required to enhance their professional careers and/or to pursue
further higher education and lifelong learning.
3- Fulfil the future needs of the Research and Development (R&D) for various industries and establishments of the United Arab Emirates (UAE) and
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the region as a whole.
4- Promote a sense of leadership with emphasis on scholarship and professional ethics.
2.1 Program Objectives (Outcomes)
Upon successful completion of the M.Sc. in Electrical & Electronics Engineering program, the student will be able to:
1. Formulate a complex conceptual research problem in electrical & electronics engineering and write the results in a research article format.
2. Apply mathematical and engineering skills in solving a complex conceptual research problem in electrical & electronics engineering.
3. Design complex systems or processes to meet desired needs within realistic constraints related to the economy, environment, society,
politics, ethics, health and safety, manufacturability, and sustainability.
4. Design/conduct simulations for research using modern software engineering tools.
5. Demonstrate knowledge of contemporary technical and professional
issues in the practice of electrical & electronics engineering
6. Engage in lifelong learning.
7. Demonstrate effective technical communication skills both verbally
and in writing.
3. Program Structure - Thesis Track
The degree title: “Master of Science in Electrical and Electronics Engineering, MSEEE”. The minimum degree requirement is 33 credit hours.
After successfully completing at least 50% of the course work (at least 12
credits), the student has to elect a research supervisor in the chosen area
of specialty.
The enrolled student has to successfully complete 33 credits. In this option,
the student is assigned a research supervisor in the chosen area of specialty. The student has to complete 9 credit hours of research work under the
supervision of his/her supervisor. The student has to defend his/her thesis
before his/her selected committee. The 33 credits are distributed as follows:
Requirements
Credits
4 Core Courses
12
2 Specialized Courses
6
2 Elective Courses
6
Thesis
9
Total
204
33
College of Graduate Studies & Research
The Electrical and Computer Engineering Department may offer the following areas of specialization:
• Control and Automation
• Electronics
• Communication Systems
• Signal and Image Processing
I – Core Courses:
The student must complete the following four compulsory courses :
Course # Title
Pre-requisite
0402530
Linear Multivariable Control Systems
Grad.Standing
0402540
Communication Systems Engineering
Grad.Standing
0402550
Advanced Electronics
Grad.Standing
0402560
Digital Signal Processing I
Grad.Standing
0402590
Graduate Seminar
Grad.Standing
In addition, the students must complete the Graduate Seminar and Master
Thesis as mentioned in VI.
II – Specialized Courses:
a. Control and Automation
Course # Title
Pre-requisite
0402531
Optimal Control and filtering
0402530
0402532
Nonlinear Systems Analysis and Design
0402530
0402533
System Identification
Grad.Standing
0402534
Real-time and Embedded Systems
Grad.Standing
0402535
Neural Networks and Applications
Grad.Standing
0402536
Modelling and Control of Power Systems
Grad.Standing
0402537
Analysis and Control of Electrical Machines
Grad.Standing
0402539
Special Topics in Control and Automation
Grad.Standing
0402630
Robust Feedback Control
0402530
0402631
Adaptive Control
0402530
0402632
Predictive Control
0402530
0402633
Robotics
0402634
Advanced Process Control
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Grad.Standing
0402530
205
b. Communication Systems
Course #
Title
Pre-requisite
0402541
Advanced Digital Communications
0402540
0402542
Detection and Estimation
0402540
0402543
Information Theory
0402544
Error Control Codes
0402545
Mobile Communication Systems
0402546
Propagation Theory and Antennas
Grad.Standing
0402549
Special Topics in Communications
Grad.Standing
0402640
Satellite Communications
Grad.Standing
0403540
Computer Networks
Grad.Standing
0402642
Optical Communications
0402546
0403640
Mobile Computing
0403540
Grad.Standing
Grad.Standing
0402540, 0402501
c. Electronics
Course #
Title
Pre-requisite
0402551
Analog IC Design
Grad.Standing
0402552
Advanced Power Electronics
Grad.Standing
0402553
Physics of Semiconductor Devices
Grad.Standing
0403550
Integrated Circuit Fundamentals
Grad.Standing
0402555
Non-linear Circuits Analysis and Design
Grad.Standing
0402559
Special Topics in Electronics
Grad.Standing
0403650
Micro-devices and Micro-sensors in VLSI
0403550
0402651
Analog Micro-system Design
0402551
0402652
RF Integrated Circuit Design
0402551
0402653
Advanced Optoelectronics
0402642
d. Signal and Image Processing
Course #
206
Title
Pre-requisite
0402561
Digital Signal Processing II
0402560
0402562
Pattern Recognition
Grad.Standing
0402563
Speech Processing
0402560
0402564
Image Processing and Applications
0402560
0403542
Multimedia Networking and Communications Grad.Standing
0402524
Application Specific Architectures & Design Methodology
Grad.Standing
College of Graduate Studies & Research
0402569
Special Topics in Signal and Image Processing
Grad.Standing
0402660
Adaptive Filtering
0402560
0402661
Wavelet and Time Frequency Signal Processing
0402560
0402662
Multi-rate Systems and Filters Banks
0402560
0403632
Computer Vision
Grad.Standing
III. Elective Courses:
The student must complete four elective courses to be selected in coordination with his/her supervisor. They may include:
I. Courses listed below under depth courses or general electrical/Electronics courses.
II. Independent Studies in Electrical/Electronics Engineering (course
0402575)
IV – General Electrical/Electronics Engineering Courses:
Course #
Title
Pre-requisite
0402500
Applied Mathematics for Engineering
Grad.Standing
0402501
Applied Stochastic Processes.
Grad.Standing
0402502
Optimization Methods in Engineering
Grad.Standing
V – Independent Studies:
Course # Title
0402575
Pre-requisite
Independent Studies in Electrical/Electronics Grad.Standing
Engineering
VI – Graduate Seminars and Master Thesis:
Course # Title
Pre-requisite
0402590
Graduate Seminar
Grad.Standing
0402599
Master Thesis
Dept. Approval
4. Program Structure: Non-Thesis Track
The minimum degree requirement is 33 credits composed of the following:
Requirements
Credits
6 Core Courses
15
2 Specialized Courses
6
4 Elective Courses
12
Total
33
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207
In addition, each student must pass a comprehensive examination as specified by the College of Graduate Studies and Research.
I – Compulsory Courses
Each student must complete the following six compulsory courses:
Course # Title
Pre-requisite
0402530
Linear Multivariable Control Systems
Grad.Standing
0402540
Communication Systems Engineering
Grad.Standing
0402550
Advanced Electronics
Grad.Standing
0402560
Digital Signal Processing I
Grad.Standing
0402590
Graduate Seminar
Grad.Standing
II – Specialized Courses
In addition, each student must select two courses from the following depth
areas:
a. Control and Automation
Course # Title
208
Pre-requisite
0402531
Optimal Control and filtering
0402530
0402532
Nonlinear Systems Analysis and Design
0402530
0402533
System Identification
Grad.Standing
0402534
Real-time and Embedded Systems
Grad.Standing
0402535
Neural Networks and Applications
Grad.Standing
0402536
Modelling and Control of Power Systems
Grad.Standing
0402537
Analysis and Control of Electrical Machines
Grad.Standing
0402539
Special Topics in Control and Automation
Grad.Standing
0402630
Robust Feedback Control
0402530
0402631
Adaptive Control
0402530
0402632
Predictive Control
0402530
0402633
Robotics
0402634
Advanced Process Control
Grad.Standing
College of Graduate Studies & Research
0402530
b. Communication Systems
Course #
Title
Pre-requisite
0402541
Advanced Digital Communications
0402540
0402542
Detection and Estimation
0402540
0402543
Information Theory
Grad.Standing
0402544
Error Control Codes
Grad.Standing
0402545
Mobile Communication Systems
0402546
Propagation Theory and Antennas
Grad.Standing
0402549
Special Topics in Communications
Grad.Standing
0402640
Satellite Communications
Grad.Standing
0403540
Computer Networks
Grad.Standing
0402642
Optical Communications
0402546
0403640
Mobile Computing
0403540
0402540, 0402501
c. Electronics
Course #
Title
Pre-requisite
0402551
Analog IC Design
Grad.Standing
0402552
Advanced Power Electronics
Grad.Standing
0402553
Physics of Semiconductor Devices
Grad.Standing
0403550
Integrated Circuit Fundamentals
Grad.Standing
0402555
Non-linear Circuits Analysis and Design
Grad.Standing
0402559
Special Topics in Electronics
Grad.Standing
0403650
Micro-devices and Micro-sensors in VLSI
0403550
0402651
Analog Micro-system Design
0402551
0402652
RF Integrated Circuit Design
0402551
0402653
Advanced Optoelectronics
0402642
d. Signal and Image Processing
Course #
Title
Pre-requisite
0402561
Digital Signal Processing II
0402562
Pattern Recognition
Grad.Standing
0402563
Speech Processing
0402560
0402564
Image Processing and Applications
0402560
0403542
Multimedia Networking and Communications Grad.Standing
0402524
Application Specific Architectures & Design Methodology
Grad.Standing
0402569
Special Topics in Signal and Image Processing
Grad.Standing
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0402560
209
0402660
Adaptive Filtering
0402560
0402661
Wavelet and Time Frequency Signal Processing
0402560
0402662
Multi-rate Systems and Filters Banks
0403632
Computer Vision
0402560
Grad.Standing
III. Elective Courses:
The student must complete four elective courses to be selected in coordination with his/her supervisor. They may include:
I. Two courses from area other than his/her specialization or general
Electrical & Electronics courses.
II. Independent Studies in Electrical & Electronics Engineering (course
0402575)
IV – General Electrical/Electronics Engineering Courses:
Course #
Title
Pre-requisite
0402500
Applied Mathematics for Engineering
Grad.Standing
0402501
Applied Stochastic Processes.
Grad.Standing
0402502
Optimization Methods in Engineering
Grad.Standing
V – Independent Studies:
Course # Title
0402575
Pre-requisite
Independent Studies in Electrical/Electronics Grad.Standing
Engineering
VI – Graduate Seminars and Master Thesis:
Course # Title
Pre-requisite
0402590
Graduate Seminar
Grad.Standing
0402599
Master Thesis
Dept. Approval
5. Course Description
General Electrical & Electronics Engineering Courses:
0402500 Applied Mathematics for Engineering (3-0:3)
Prerequisite: Graduate Standing
This is an applied mathematics course tailored to the needs of Electrical Engineering graduate students. Topics covered are: i) Complex variable theory,
ii) Sturm-Liouville problem, eigen-function expansion and special functions, iii)
Matrix theory, eigen value and diagonalization, iv) Fourier analysis, multi-dimensional Fourier series and transforms, and v) Partial differential equations. Various examples from engineering and physics will be incorporated as appropriate.
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College of Graduate Studies & Research
0402501 Applied Stochastic Processes
(3-0:3)
Prerequisite: Graduate Standing
Review of fundamentals of probability, Sequences of random variables and
convergence, Stationarity and ergodicity; second-order properties and estimation; Gaussian random processes, Poisson and renewal processes,
Markov processes. Queuing Theory. Applications to communications and
signal processing.
0402502 Optimization Methods in Engineering (3-0:3)
Prerequisite: Graduate Standing
Formulation, solution and implementation of optimization models such as
linear programming, dynamic programming, integer programming, quadratic
programming, convex programming, geometric programming and unconstrained optimization for analyzing complex systems problems in industry.
Courses in specialization area: Control and Automation
0402530
Linear Multivariable Control Systems (3-0:3)
Prerequisite: Graduate Standing
State space representation of systems. Linear algebra background. Modeling of multivariable systems. Realization theory. Controllability and observability. Minimality. Stability. State feedback and estimation. Separation theorem. Output feedback. Compensation.
0402531
Optimal Control and filtering (3-0:3)
Prerequisite: 0402530
Nonlinear optimal control of continuous-time systems. Minimum time and
constrained input problems. Linear quadratic regulator. Optimal output-feedback. Optimal state estimation. Linear quadratic Gaussian design. Discrete
Time Optimal Control. Case studies.
0402532
Nonlinear Systems Analysis and Design
(3-0:3)
Prerequisite: 0402530
Introduction to nonlinear systems dynamics. Linearization, iteration, and perturbation analysis. Phase plane method. Describing functions analysis. Limit
cycles. Lyapunov stability. Input/output stability. Input/output linearization.
Stabilization and control of nonlinear systems.
0402533
System Identification (3-0:3)
Prerequisite: Graduate Standing
Review of transient and frequency response analysis. Regression analysis.
Parameterization of models. Maximum likelihood and prediction error methods. Mathematical and experimental modelling. Model validation. Model approximation. Real-time identification. Closed loop identification. Introduction
to nonlinear system identification.
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0402534
Real-time and Embedded Systems (3-0:3)
Prerequisite: Graduate Standing
Architecture of real-time systems, Design and construction of software for
real-time applications of digital computers, Requirements and specification
methods, Scheduling algorithms and timing analysis. Real-time operating
systems. Real-time programming languages. Selected case studies.
0402535
Neural Networks and Applications (3-0:3)
Prerequisite: Graduate Standing
Introduction, background and biological inspiration. Survey of fundamentals methods of artificial neural networks: single and multi-layer networks;
Perceptions and back propagation. Associative memory and statistical networks. Supervised and unsupervised learning. Merits and limitations of neural networks. Applications.
0402536
Modelling and Control of Power Systems (3-0:3)
Prerequisite: Graduate Standing
Dynamic model of synchronous machines. Excitation and governor systems.
Nonlinear and linear modelling of single machine infinite bus systems. Stability analysis and control design. Direct method of stability determination.
Multimachine system modelling. Power system dynamic equivalents.
0402537 Analysis and Control of Electrical Machines (3-0:3)
Prerequisite: Graduate Standing
Steady-state and dynamic analysis of electrical machines: direct and quadrature axis transformation. Linear and nonlinear state space representation.
Regulation and control devices. Simulation of electromechanical subsystems.
0402539 Special Topics in Control and Automation (3-0:3)
Prerequisite: Graduate Standing
Advanced and emerging topics are selected from the area of Control and
Automation. Contents of the course will be provided one semester before it
is offered.
0402630
Robust Feedback Control (3-0:3)
Prerequisite: 0402530
Elements of robust control theory. Norms of signals and systems. Performance specifications. Stability and performance of feedback systems. Performance limitations. Model uncertainty and robustness. Parameterization of
stabilizing controllers. Loop transfer recovery robust design. H-infinity control
and filtering.
0402631 Adaptive Control
(3-0:3)
Prerequisite: 0402530
Introduction to the various approaches of adaptive controller design. Real-time parameter estimation. Model reference adaptive control. Self-tuning
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College of Graduate Studies & Research
controllers. Variable structure systems. Gain Scheduling. Robustness issues. Practical aspects and implementation. Typical Industrial applications.
0402632 Predictive Control (3-0:3)
Prerequisite: 0402530
Predictive control concept. Process models and prediction. Optimization
criterion. Predictive control law. Performance and robustness. Minimum
cost horizon. Disturbance model. Overview of well-known predictive controllers. Tuning of predictive controller design parameters. Predictive control
with output constraints. Implementation issues. Industrial case studies.
0402634
Advanced Process Control (3-0:3)
Prerequisite: 0402530
Digital and computer control systems. Discretization techniques. Stability of
discrete systems. Discrete multivariable and multiloop PID controller design.
Loop interaction. Pole assignment design. Supervisory and decentralized
control. Advanced digital controller design.
Courses in specialization area: Communication Systems
0402540 Communications Systems Engineering
(3-0:3)
Prerequisite: Graduate Standing
Representation of signals. Spectral density and autocorrelation. PAM and
PCM systems. Detection of binary and M-ary signals in Gaussian noise.
Matched filter and correlator receivers. Pulse shaping. Band pass modulation and demodulation techniques. Error performance for binary and M-ary
systems. Spectral analysis of digital signals. Communication link analysis.
0402541 Advanced Digital Communications (3-0:3)
Prerequisite: 0402540
Digital transmission over AWGN channels. Digital transmission over
band-Limited channels. Intersymbol Interference. Signal design for band-Limited channels. Channel equalization. Characterization of fading multipath
channels. Performance of digital transmission over fading channels. Diversity techniques. Spread spectrum. Multi-user communication. Overview of
Advanced Communications Systems (satellite, mobile, optical, etc.)
0402542 Detection and Estimation
(3-0:3)
Prerequisite: 0402540
Binary and M-hypotheses Detection techniques: Maximum likelihood, Newman Pearson, Minimum probability of error, Maximum a posteriori probability, Bayes decision and mini-max detection. Parameter estimation: weighted
least squares, BLUE, Maximum likelihood, Mean square estimation. Signal
estimation and filtering: Wiener filtering, Kalman filtering and estimation. Simultaneous detection and estimation. Application to system identification
and communication systems.
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0402543
Information Theory (3-0:3)
Prerequisite: Graduate Standing
Measures of information, Entropy, Source Coding theory, Lossless data compression, Huffman Codes, Ziv-Lempel and Elias Codes, Arithmetic Codes,
Run-length Encoding, Sources with memory, Lossy data compression, Rate
distortion theory, Mutual Information, Memoryless channels, Channel capacity,
Channel coding theory, Differential Entropy, Capacity of AWGN channels.
0402544 Error Control Codes (3-0:3)
Prerequisite: Graduate Standing
Finite field arithmetic, Linear codes, Block codes, Cyclic codes, BCH and
Reed-Solomon codes, Encoding and decoding methods, Performance analysis of block and cyclic codes, Convolutional codes, Trellis representation,
The Viterbi algorithm, Performance analysis of convolutional codes, Coded
modulation, Turbo codes.
0402545 Mobile Communication Systems (3-0:3)
Prerequisite: 0402540
Fundamentals of digital modulation techniques, propagation conditions, multiple accesses, and the rake receiver, synchronization, coding, performance
in multi-path fading environment. The following topics will be covered: network architecture, cellular, micro-cellular, pilot tones, synchronous/non-synchronous networks, power control, resource allocation in networks with various architectures.
0402546 Propagation Theory and Antennas (3-0:3)
Prerequisite: Graduate Standing
Plane waves in homogenous media. Reflection and transmission. Guidance
and resonance. Multipath propagation and fading. Radiation and scattering.
0402549
Special Topics in Communications (3-0:3)
Prerequisite: Graduate Standing
Advanced and emerging topics are selected from the area of communications. Contents of the course will be provided one semester before it is offered.
0402640 Satellite Communications (3-0:3)
Prerequisite: 0402540
Introduction to satellite communication systems. Satellite orbits. The satellite
channel. Satellite links. Earth stations. Modulation and multiplexing. Digital
modulation. Multiple access and demand assignment. Satellite crosslinks.
VSAT and mobile satellite systems.
0402642
Optical Communications (3-0:3)
Prerequisite: 0402546
Fundamental principles of optical communication systems. Operational
characteristics of the main subsystems - optical transmitters, optical fibers,
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College of Graduate Studies & Research
optical amplifiers and optical receivers. Optical communication system, including transmission considerations, system and network design methodology and up-to-date information on components and subsystems technology
for various system applications. Design examples.
Courses in specialization area: Electronics
0402550 Advanced Electronics (3-0:3)
Prerequisite: Graduate Standing
Small-signal equivalent circuits and noise models of active devices. Design
and analysis of linear wide-band low-noise feedback amplifiers. High frequency design using operational amplifiers and operational trans conductance amplifiers. Application of specialized electronic systems in analog signal processors. Introduction to emerging technologies and advanced topics
from recent literature.
0402551 Analog IC Design (3-0:3)
Prerequisite: Graduate Standing
Analysis & design of analog integrated circuits, CMOS, Bipolar and BiCMOS
techniques for analog & mixed-signal VLSI, Bandgap Voltage references,
Current mirrors, Folded cascode techniques, CMOS & BiCMOS op-amp design, CMOS & BiCMOS comparators, analog CMOS & BiCMOS multipliers,
offset and distortion, Low-voltage & low-power analog IC building blocks,
Current feedback techniques for CMOS wide-band amplifier design, Discrete time analog CMOS techniques. Analog IC layout techniques.
0402552 Advanced Power Electronics (3-0:3)
Prerequisite: Graduate Standing
Review of power semiconductor devices: thyristors, GTO, power transistor, and MOSFET. Power control converters. Drive specifications. Rectifier
control of DC motors. Fully controlled single-phase and three-phase drives.
Multiquadrant operation of DC motors. Closed-loop control of DC motors.
Induction motors by voltage controllers. Frequency controlled induction motor drives. Slip power control. Self-controlled synchronous motors. Current/
voltage source inverter drives. Introduction to microcomputer control of AC
and DC drives.
0402553
Physics of Semiconductor Devices (3-0:3)
Prerequisite: Graduate Standing
Electronic states in semiconductors. Carrier transport models and current
equations. Analysis of pn junctions, bipolar and FET transistors. Introduction
to microwave devices and semiconductor optoelectronics.
0402555
Non-linear Circuits Analysis and Design (3-0:3)
Prerequisite: Graduate Standing
Monotone and non-monotone transfer and driving-point characteristics of basic
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circuit elements, modelling techniques of electronic circuits containing nonlinear
devices, autonomous and non-autonomous circuits, equilibrium points and stability analysis, the hysteresis phenomena and stiff systems, oscillators as nonlinear dynamical systems (harmonic and relaxation oscillators), visualization of
dynamical behaviors in the state-space, geometrical interpretation via Poincare
sections and 1-D return maps, state-space reconstruction of a time-series (Bogdanov-Takens theorem), selected nonlinear circuit design examples.
0402559 Special Topics in Electronics (3-0:3)
Prerequisite: Graduate Standing
Advanced and emerging topics are selected from the area of Electronics.
Contents of the course will be provided one semester before it is offered.
0402650
Micro-devices and Micro-sensors in VLSI (3-0:3)
Prerequisite: 0403550
Physics of MOS & Bipolar devices in VLSI technology, Principles of Field
Effect & Charge Coupled Devices, Design of solid-state sensors, Micro-sensors & Micro-actuator devices: capacitive, piezo-resistive, electrostatic, thermal, magnetic. Design of microsensors & micro-actuators using surface &
bulk Silicon micro-machining techniques, Design of micro-electro-mechanical systems using CMOS VLSI technology.
0402651 Analog Micros-system Design
(3-0:3)
Prerequisite: 0402551
Analysis & design of data-converter integrated circuits, Analog CMOS signal
processing circuits in VLSI, A-to-D & D-to-A integrated circuit techniques
in CMOS, Bipolar & BiCMOS technology, Oversampling sigma-delta converters & modulators, Switched-Capacitor & switched-current analog microsystem design, CMOS & BiCMOS circuit techniques for on-chip discrete
& continuous time filters. Substrate noise & matching considerations in
mixed-signal integrated circuits.
0402652 RF Integrated Circuit Design (3-0:3)
Prerequisite: 0402551
Principles of RF IC design using VLSI technologies, Monolithic inductor
implementation, Low-noise amplifiers, CMOS mixers, CMOS frequency
synthesizers, CMOS VCOs, Monolithic CMOS transceiver architectures,
SiGe-CMOS technology for high performance RF IC Design, Impedance
matching considerations in CMOS RF IC design & design of Input/Output
pads for RF micro-chips.
0402653 Advanced Optoelectronics (3-0:3)
Prerequisite: 0402642
Fundamental electronics, optical and physical properties of nanostructures;
Application of nanostructure science to enable novel semiconductor devices
for advanced optoelectronics, photonics, and electronics.
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College of Graduate Studies & Research
Courses in specialization area: Signal and Image Processing
0402560
Digital Signal Processing I (3-0:3)
Prerequisite: Graduate Standing
Classification of discrete-time signals and systems. Basic and lattice structures, Finite-word length effects. Discrete Fourier Transform and its efficient
implementations. Introduction to spectral analysis. FIR and IIR filter design
techniques: Windowing techniques, Analog-to-Digital transformation techniques, Computer-aided design techniques.
0402561 Digital Signal Processing II (3-0:3)
Prerequisite: 0402560
Optimal one- dimensional filters design techniques. Multidimensional digital signals and systems. Multidimensional Fourier transforms. Analysis of
multidimensional systems and digital filter design. Implementation issues.
Parametric and non- parametric spectral estimation. Applications.
0402562 Pattern Recognition (3-0:3)
Prerequisite: Graduate Standing
Decision functions. Distance classification. Clustering algorithms. Pattern
classification by likelihood, Deterministic pattern classifier, Supervised and
unsupervised classification, Statistical pattern classifier. Feature selection.
Neural network approach to pattern recognition. Applications to engineering
and machine vision.
0402563
Speech Processing (3-0:3)
Prerequisite: 0402560
Speech analysis, Digital processing of wave forms, Wavelet transformation
Waveform coding, Parametric coding of speech: linear predictive coding,
Text-to-Speech synthesis, Recognition, Stochastic modeling of speech signals, Pattern recognition and its application to speech, Speech coding for
Packet Networks, Echo removal.
0402564
Image Processing and Applications (3-0:3)
Prerequisite: 0402560
Two-dimensional systems and mathematical preliminaries. Perception and
human vision systems. Sampling and quantization. Image transforms. Image
representation by stochastic models. Image data compression, enhancement, filtering, and restoration. Reconstruction from projection. Analysis and
computer vision.
0402569 Special Topics in Signal and Image Processing (3-0:3)
Prerequisite: Graduate Standing
Advanced and emerging topics are selected from the area of Signal and
Image Processing. Contents of the course will be provided one semester
before it is offered.
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0402660
Adaptive Filtering
(3-0:3)
Prerequisite: 0402560
Introduction to adaptive Signal Processing. Fundamentals of Adaptive Filter Theory. The LMS Algorithm, LMS-based Algorithms. Conventional RLS
Adaptive Filtering. Adaptive Lattice-based RLS Algorithms. Fast Algorithms.
Implementation Issues. Adaptive IIR filters. HOS-based adaptive filtering.
Introduction to nonlinear filtering. Applications to Echo cancellation, equalization, noise canceling and prediction.
0402661 Wavelet and Time Frequency Signal Processing (3-0:3)
Prerequisite: 0402560
Cosine transform and short-time Fourier transform, Analysis of filter banks
and wavelets, Sub-band and wavelet coding, Multirate signal processing,
Wavelet transform, Daubechies wavelets, Orthogonal and biorthogonal
wavelets, Time-frequency and time-scale analysis, Design methods. Applications of wavelets to audio and image compression, Medical imaging, Geophysics, Scientific visualization.
0402662 Multi-rate Systems and Filters Banks (3-0:3)
Prerequisite: 0402560
Fundamentals of signal decompositions, concepts and theory, including
time-frequency decompositions; Review of Fourier and Z transforms, Fourier
series, etc; Multi-rate Filtering Multi-resolution Analysis, Applications.
0402663 Robotics
(3-0:3)
Prerequisite: Graduate Standing (Cross Listed with 0403631)
Methods for designing and operating robotics systems for advanced automation, on-line identification and description of 3-D objects by digitized images, off-line collision-free path planning, on-line collision avoidance traveling
using artificial intelligence.
Independent Studies, Graduate Seminar, Research Project
and Master Thesis
0402575
Independent Studies in Electrical/Electronics Engineering (3-0:3)
Prerequisite: Graduate Standing
The student is expected to carry out an independent study on a current issue in a selected area of Electrical/Electronics Engineering. This study is
to be supervised by a faculty member and requires the approval of the department. The student is required to produce a formal report, which will be
evaluated by his instructor.
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College of Graduate Studies & Research
0402590 Graduate Seminar (1-0:0)
Prerequisite: Graduate Standing
Students are required to attend seminars given by faculty members, visitors,
and fellow graduate students. Each student is also required to present one
seminar on a timely research topic.
0403598
Research Project (0-0:3)
Prerequisite: Department Approval
The student has to undertake and complete research topic under the supervision of a faculty member, conducts an individual study employing concepts
and methods learned in the program to solve a problem of significant importance from a practical or theoretical standpoint. A final written report on the
project is required.
0402599 Master Thesis (0-0:9)
Prerequisite: Departmental Approval
The student has to undertake and complete research topic under the supervision of a faculty member. The thesis work should provide the student with
an in-depth understanding of a research problem in Electrical/Electronics
Engineering. It is expected that the student, under the guidance of the supervisor, will be able to conduct research somewhat independently, and may
also be able to provide solution to that problem.
Graduate Catalog 2013 - 2014
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