Course Description
Advanced Topics in Electrical Engineering (ELEC 551)
Credit Hours: 3
A selection of state-of-the-art topics on electrical engineering.
Power System Dynamics & Control (ELEC 552)
Credit Hours: 3
Dynamic performance of power systems with emphasis on stability. Modeling of system components including FACTS devices and control equipment. Analysis of the dynamic behavior of the power system in response to small and large disturbances.
Advanced Energy Distribution Systems (ELEC 553)
Credit Hours: 3
Transient models of distribution components, automated system planning and distribution automation, surge protection, reliability, power quality, power electronics and intelligent systems applications.
Advanced Topics in Electric Power System Engineering (ELEC 554)
Credit Hours: 3
A selection of state‐of‐the‐art topics on electric power system engineering that spans both theoretical background and practical application considerations
Statistical signal Processing (ELEC 555)
Credit Hours: 3
Foundations-Stochastic process in continuous-time and discrete‐time with its first and second order description, sampling process,stochastic dynamical models, simulation of stochastic processes, basics of constrained and unconstrained optimization; Basics of estimation theory ‐ parameter estimation, adaptive filtering, optimal filtering; Basics of detection theory ‐ hypothesis testing, sequential detection, detection of signals in noise; Markov Decision Processes; Compressive sensing. Case studies in wireless communications and target tracking.
Advanced Comm. Engineering (ELEC 556)
Credit Hours: 3
Fading channel characterization and simulation; Performance of digital modulation in fading and inter‐ symbol interference; Capacity of wireless channels; Flat fading countermeasures, diversity, coding and interleaving, adaptive modulation; Multiple antenna systems (MIMO); Inter‐symbol interference countermeasures, equalization, multi‐carrier modulation, spread spectrum and RAKE receivers; Multiple access, modern cellular systems, modern data networks, and ad‐hoc networks. Particular emphasis is placed on the interplay between concepts and their implementation in systems.
Bioinstrumentation (ELEC 558)
Credit Hours: 3
Biomedical engineering is the study of how the human body functions from an engineering perspective. An essential part of the functionality concerns the determination and analysis of signals generated within the body. Bioinstrumentation presents a means wherebythe signals are measured, monitored and analyzed. This module concentrates on the extraction, processing and manipulation of the signals to aid in the therapeutic and diagnostic process.
Advanced Digital Signal Processing (ELEC 561)
Credit Hours: 3
Discrete signals and systems; Discrete-time Fourier Transform; Z transform; Digital filter design. Discrete Fourier transforms. Fast FourierTransform; linear and circular convolution; overlap-add method; FIR Digital filters; IIR Digital filters; Digital Spectral Analysis; Time-Frequency analysis and the spectrogram; Blind source separation; array processing; signal enhancement; applications to voice, EEG and ECG analysis; introduction to 2D signals and t-f images.
Adv. Topics in Power Electronics (ELEC 653)
Credit Hours: 3
Advanced Topics may include “but are not limited to” the followings: Protection of semiconductor devices and drive circuits; Modeling and control of power electronics systems, PWM converters and applications; Resonant converters and control, Switching power supplies design; applications of power electronics to renewable energy, power system and drives. Power quality and FACTS applications. Energy Conservation and Management. Simulation and implementation of power electronics converters.
Advanced Topics in Machines and Drives (ELEC 654)
Credit Hours: 3
Advanced Topics may include “but are not limited to” the followings: Principles for electric machine analysis. Electromechanical energy conversion concept. Winding inductances and voltage equations. Reference-frame theory. Generalized theory of Induction and synchronous machines. Linearized equations of induction and synchronous machines. Reduced-order equations of induction and synchronous machines. Unbalanced Operation of induction and synchronous machines. Asynchronous operation of synchronous machine. Symmetrical and Unsymmetrical Two-Phase Induction Machines. Introduction to modern electrical drives. DC, induction and synchronous motor drives. Switched reluctance drive systems. Brushless DC Motor Drives. Simulations of induction and synchronous machines.
Advanced Topics in Control System Theory (ELEC 655)
Credit Hours: 3
Advanced Topics may include “but are not limited to” the followings: Optimal Control, Nonlinear Control, Intelligent Control, Multi-VariableControl and Robust Control
Advanced Digital Communication (ELEC 656)
Credit Hours: 3
An overview of the designs of digital communication systems; The mathematical foundation of decomposing the systems into separately designed source codes and channel codes as well as overview of joint design; The principles and some commonly used algorithms in each component; The basics of information theory; Single-carrier digital transmission systems; Digital communication through fading multipath channel; Diversity techniques, Outage probability and outage capacity; Statistical signal processing principles with applications in adaptive equalization and channel estimation; Modern communication system case studies.
Biomedical Signal Processing & Diagnostics (ELEC 657)
Credit Hours: 3
Engineering and human senses; brain studies and EEG; electrical activity and disorders; heart, ECG and prevention of heart attacks; eye, perception and image processing; human body as a communication system (auditory system, speaker and speech analysis); DSP and Filtering; Time- Frequency modelling; Biomedical processes and systems modelling; Artifacts filtering; Event change detection; Pattern classification; automatic medical diagnostics.
Medical Imaging (ELEC 658)
Credit Hours: 3The aim of the Medical Imaging Course is to provide broadly based and multidisciplinary training in medical imaging. The major themes will include background and introduction to the principles underlying the main types of imaging including technology,engineering and their application in clinical and research environments. The course will cover different aspects of medical imaging,including acquisition systems, pre-processing methods, Reconstructions 2D-3D, image analysis using segmentation and registration, image compression and real-time medical imaging systems. Emphasis will be also given to interesting new areas of biomedical imaging relevant to current biomedical research.
Communication and Information Theory (ELEC 659)
Credit Hours: 3
Mathematical models for channels and sources, the basic concepts of entropy, relative entropy, and mutual information are defined, and their connections to channel capacity, coding, and data compression are presented; Limits for error-free communication, channel capacity; Limits for data compression and source coding; Shannon's theorems and rate distortion theory; Basics of coding for noisy channels, linear block codes, cyclic codes, convolutional codes, maximum likelihood decoding.
Communication Network (ELEC 660)
Credit Hours: 3
A course on the basics of data communication network protocols, basics of queuing theory, basics of multiple access techniques, methods of performance analysis and simulations.
Master Thesis (ELEC 698)
Credit Hours: 12
A distinct and original contribution to basic knowledge of the subject. The student will be required to show initiative and resourcefulness in overcoming both theoretical and practical difficulties by devising novel ways and means of achieving objectives that elude the more conventional approaches to them. The course is a test of initiative and of the student's ability to accept responsibility and bring a task to a satisfactory conclusion.
