Advanced Topics in Electrical Engineering (ELEC 601)
Credit Hours: 3
Description
A selection of state-of-the-art topics on electrical engineering.
Advanced Energy Distribution Systems (ELEC 602)
Credit Hours: 3
Description
This course addresses advanced energy distribution systems spanning the following topics: Main Concepts of Electric Distribution Systems. Load Demand Forecasting. Voltage Variations. Power Factor Improvement. Harmonics in Electric Distribution Systems. Harmonics Effect Elimination. Demand Side Management and Energy Efficiency. Distributed Generation. Smart grid and microgrids.
Advanced Topics in Electric Power System Engineering (ELEC 603)
Credit Hours: 3
Description
A selection of state-of-the-art topics on electric power system engineering that spans both theoretical background and practical application considerations.
Advanced Wireless Communication (ELEC 604)
Credit Hours: 3
Description
Overview of fundamental knowledge in the stochastic process, Gaussian random process, vector space, signal space, and detection theory. Wireless fading channels stochastic modeling and characterization both in the continuous and discrete case. Diversity techniques in time, frequency, and space and their corresponding performance effect and the diversity order. An information-theoretic approach to a wireless communication system including the capacity of AWGN channel and for fading channels. MIMO systems capacity, degrees of freedom, and space-time coding techniques. Multiuser, multiple access communication systems, and interference management. Particular emphasis is placed on the interplay between concepts and their implementation in systems.
Bioinstrumentation (ELEC 605)
Credit Hours: 3
Description
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 whereby the signals are measured, monitored, and analyzed. This course concentrates on the extraction, processing, and manipulation of the signals to aid in the therapeutic and diagnostic process.
Advanced Topics in Power Electronics (ELEC 653)
Credit Hours: 3
Description
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
Description
The course will consider the following contents (but not limited to):
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
Description
Advanced Topics may include “but are not limited to” the following: Optimal Control, Nonlinear Control, Intelligent Control, Multi-Variable Control and Robust Control.
Advanced Digital Communication (ELEC 656)
Credit Hours: 3
Description
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 an 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
Description
Engineering and human senses; brain studies and EEG; electrical activity and disorders; heart, ECG and prevention of heart attacks; eye, perception and image processing; the human body as a communication system (auditory system, speaker and speech analysis); DSP and Filtering; Time-Frequency modeling; Biomedical processes and systems modeling; Artifacts filtering; Event change detection; Pattern classification; automatic medical diagnostics.
Medical Imaging (ELEC 658)
Credit Hours: 3
Description
The 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
Description
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.
Power System Dynamics & Control (ELEC 661)
Credit Hours: 3
Description
Dynamic performance of power systems with an 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 Digital Signal Processing (ELEC 662)
Credit Hours: 3
Description
Discrete signals and systems; Discrete-time Fourier Transform; Z transform; Digital filter design. Discrete Fourier transforms. Fast Fourier Transform; 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.
Statistical Signal Processing (ELEC 665)
Credit Hours: 3
Description
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.
Master Thesis (ELEC 698)
Credit Hours: 12
Description
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.