Sign In
 

 Graduate Courses

T​he description of all EE graduate courses in the six areas of research is presented next. All Courses’ number start with either a 5 or a 6.  The second digit in a course number indicates the area. 
 
Courses in the area of Power Systems are coded as EE 52x or EE 62x.
Courses in the area of Electromagnetics are coded as EE 53x or EE 63x.
Courses in the area of Electronics and Digital Systems are coded as EE 54x or EE 64x.
Courses in the area of Control Systems are coded as EE 55x or EE 65x.
Courses in the area of Signal Processing are coded as EE 56x or EE 66x.
Courses in the area of Communication Systems are coded as EE 57x or EE 67x.
 
Note: Graduate students working towards M.S., M.S.T.E., or Ph.D. degrees are required to register for EE 599 (Seminars) once before finishing the degree requirements.

EE 520   Power System Steady State Analysis               (3-0-3)
 
Steady state modeling and simulation techniques. Large-scale power systems.  Sparsity programming.  Short-circuit and load-flow studies. Introduction to transient stability.  Introduction to state estimation.
 
Prerequisite:   EE 463 or equivalent
 
EE 522   Power System Dynamic Analysis                      (3-0-3)
 
Dynamic model of synchronous machines.  Excitation and governor systems.  Nonlinear and linear modeling of single machine infinite bus systems.  Stability analysis and control design.  Direct method of stability determination.  Multimachine system modeling.  Power system dynamic equivalents.
 
Prerequisite:   EE 520 or equivalent
 
EE 523   Analysis and control of Electrical Machines   (3-0-3)
 
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.
 
Prerequisite:   EE 462 or equivalent
 
EE 524   Power System Planning   (3-0-3)
 
Mathematical methods and modern approaches to power system planning.  Demand forecasting. Generation system planning: deterministic and probabilistic methods.  Transmission system planning: heuristic and stochastic methods.  Optimization methods for transmission planning.  Route selection: environmental and other considerations. Distribution system planning: system layout, and choice of components
 
Prerequisite:   Consent of the Instructor
 
​EE 525   Transmission of Electrical Energy   (3-0-3)
 
Introduction to power system transients.  Transmission lines/cable parameters, Propagation on loss-free lines, effects of termination and junctions.  Transform methods of solution of T.L. Laplace transform and Fourier transform.  Transients on T.L., potential and current distribution: standing waves.  Traveling wave method: Lattice and graphical methods.  Lighting and switching applications.  Voltage limitation on power-handling capacity and T.L. effects.  Transmission system protection. 
 
Prerequisite:   Consent of the Instructor
 
​EE 527   Reliability Assessment of Power Systems     (3-0-3)
 
Concepts of power system reliability:  Review of basic techniques, modeling in repairable systems, network approach, Markov modeling, frequency and duration.  Generation capacity: loss of load indices, loss of energy indices, frequency and duration. Interconnected systems.  Operation reserve.  Composite systems.  Distribution systems.  Substations and switching stations.  Reliability cost/worth.
 
Prerequisite:   Consent of the Instructor
 
EE 528   Advanced Power Electronics  (3-0-3)
 
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.
 
Prerequisite:   EE 460 or equivalent
 
EE 530   Radiation and Propagation of Electromagnetic Waves       (3-0-3)
 
Review of Maxwell’s equations and solutions. Electromagnetic waves in lossy, and anisotropic media. Waves at plane boundaries. Guided waves. Duality, uniqueness, image theory, equivalence principle, and reciprocity. Introduction to radiation and scattering. Problem formulation using Green’s function and integral equations.
 
Prerequisite:   EE 340 or equivalent
 
EE 531   Applied Electromagnetic Theory     (3-0-3)
 
Analytical solution of the wave equation in Cartesian, cylindrical and spherical coordinate systems. Applications to common boundary value problems (guidance, resonance, scattering and radiation). Perturbational and variational techniques. Numerical formulation and solution of selected boundary value problems.
 
Prerequisite:   EE 530
 
EE 532   Antenna  Theory and Applications   (3-0-3)
 
Properties and characteristics of antennas. Polynomial representation of linear arrays. Pattern synthesis. Chebyshev array distributions. Thin linear antennas. Microstrip radiators and arrays. Huygen’s principle. Radiation from apertures. Reflector type antennas. Frequency independent antennas. Reciprocity theorem and receiving antennas. Radar antennas. Antenna measurements.
 
Prerequisite:   EE 340 or equivalent
 
EE 533   Microwave Integrated Circuits   (3-0-3)
 
An overview of microwave integrated circuits (MIC). Hybrid and monolithic MIC. Analysis of microstrip lines.  Slot lines and coplanar waveguides. Coupled microstrip and directional couplers. Microstrip circuit design: couplers, Hybrids and filters. Lumped elements. Ferrite components. Active devices for MIC: MESFET, Gunn diode, avalanche diode, Schottky-barrier diode and PIN diode. MIC modules: oscillators, amplifiers, mixers and phase shifters. TR modules.
 
Prerequisite:   EE 407 or equivalent
 
EE 541   Design of Digital Systems     (3-0-3)
 
Hardware organization of digital systems. Synchronous sequential machines. Arithmetic and logic units: high speed addition, multiplication and division algorithms and implementation. Control units and Data Path designs. ASMD design and implementation. Memory Devices and their Structure. Use of  a Hardware Description Language (Verilog-HDL) to design complete digital systems and FPGA implementation. Transistor Level design of basic digital systems. Introduction to High Speed Digital Design and Signal Integrity.
 
Prerequisite:   EE 390 or equivalent
 
EE 542   Analog Integrated Circuit Design     (3-0-3)
 
Review of device-level models. Basic equations and higher-order effects. Basic building blocks of bipolar, MOS and CMOS analog circuits: current mirrors, differential pairs, level-shift stages, gain stages, references and Op-Amp circuits. The translinear principle and applications. Typical examples of IC amplifier design.
 
Prerequisite:   EE 303 or equivalent
 
EE 543   Computer Architecture   (3-0-3)
 
Study of advanced microprocessors: instruction set and data format, architecture, register organization, programming aspects, CPU architecture, pipelining, etc. Memory hierarchy and management. I/O buses architecture. Microprocessor interfacing. RISC and CICS processors.
 
Prerequisite:   EE 541 (cross listed with COE 520)
 
EE 544   Embedded System Design and Applications     (3-0-3)
 
Microprocessors, Microcontrollers and DSP hardware and software architectures. Advanced programming and interrupts. Interface to real-time systems. Applications and case studies including projects
 
Prerequisite:   EE 541
 
EE 545   Advanced Analog Electronics   (3-0-3)
 
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 transconductance amplifiers. Application of specialized electronic systems in analog signal processors. Introduction to emerging technologies and advanced topics from recent literature.
 
Prerequisite:   EE 303 or equivalent
 
EE 546   Semiconductor Device Theory     (3-0-3)
 
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.
 
Prerequisite:   EE 403 or equivalent
 
EE 550   Linear Control Systems     (3-0-3)
 
State space representation of systems. Theory of multivariable systems. Jordan canonical forms. Transformation matrices. Realization theory. Controllability and observability. Stability. State estimators. Output and state feedback. Compensation. Decoupling and model matching. Introduction to optimal control.
 
Prerequisite:   EE 380 or equivalent (crosslisted with SE 507)
 
EE  551   System Identification     (3-0-3)
 
Introduction to dynamic systems, models, and identification process. Models of linear time-invariant systems. Models of time-varying and nonlinear systems. Parametric estimation methods. Convergence and consistency of solutions. Asymptotic distribution. Recursive and non-recursive computation methods. Model selection and validation.
 
Prerequisite:   EE 380 or equivalent
 
EE 552   Optimal Control Theory and Applications   (3-0-3)
 
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. Case studies.
 
Prerequisite:   EE 550 or equivalent (crosslisted with SE 514)
 
EE 554   Advanced Digital Control Systems   (3-0-3)
 
Digital controller design. Pole-assignment design and state-estimation. Linear quadratic optimal control. Sampled-data transformation of Analog filters. Digital filter structures. Microcomputer implementation of digital filters.
 
Prerequisite:   EE 432 or equivalent
 
EE 555   Neural Networks Theory and Applications   (3-0-3)
 
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.
 
Prerequisite:   Consent of the Instructor (cross listed with SE 507 and COE 591)
 
EE 556   Intelligent Control   (3-0-3)
 
Intelligent control strategies: Expert systems, Fuzzy logic control, Neural networks. Optimization control techniques: genetic algorithms, simulated annealing, tabu search. Hybrid systems. Applications
 
Prerequisite:   Consent of the Instructor (Not to be taken for credit with SE 571)
 
EE 562   Digital Signal Processing I   (3-0-3)
 
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.
 
Prerequisite:   EE 406 or equivalent
 
EE 563   Speech and Audio Processing     (3-0-3)
 
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.
 
Prerequisite:   EE 562 or equivalent (crosslisted with SE 524)
 
EE 570   Stochastic  Processes     (3-0-3)
 
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.
 
Prerequisite:   EE 315 or equivalent (Not to be taken for credit with SE 543)
 
EE 571   Digital Communications I     (3-0-3)
 
Time and frequency representation of signals.  Spectral density and autocorrelation. A/D and D/A conversion.  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.
 
Prerequisite:   EE 370 or equivalent,  EE 315 or equivalent
 
EE 573   Digital Communications II     (3-0-3)
 
Review of digital  transmission over AWGN channels. Spectral analysis of digital signals. Digital, transmission over band-Limited channels. Intersymbol Interference. Signal design for band-Limited channels. Channel equalization. Adaptive equalizers. 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, ...)..
 
Prerequisite:   EE 571
 
EE 574   Detection and Estimation     (3-0-3)
 
Binary and M-hypotheses Detection techniques: Maximum likelihood, Newman Pearson, Minimum probability of error, Maximum a posteriori probability, Bayes decision and minimax 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.
 
Prerequisite:   EE 570
 
EE 575   Information Theory     (3-0-3)
 
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.
 
Prerequisite:   EE 370 or equivalent,  EE 315 or equivalent
 
EE 576   Error Control Coding     (3-0-3)
 
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.
 
Prerequisite:   EE 370 or equivalent,  EE 315 or equivalent
 
EE 577    Wireless and Personal Communications     (3-0-3)
 
The Cellular concept, Propagation modeling, Digital transmission techniques, multiple access techniques, Cellular frequency planning, Link control, Handoffs, Power control, Traffic capacity, Wireless networking, Privacy and security of wireless systems, Examples of current wireless systems standards.
 
Prerequisite:   EE 571
 
EE 578    Simulation of Communication Systems     (3-0-3)
 
Generation of pseudo-random signals and noise, Basic techniques for bit error rate estimation, Simulation of a binary system, Simulation of Intersymbol interference, Channel modeling, Signal-to-Noise Ratio estimation, Multi-rate simulation, Adaptive equalization and Coded systems simulation, Importance sampling.
 
Prerequisite:   EE 573
 
EE 599   Seminar  (1-0-0)                                                                                                        
 
Graduate students working towards either M.S. In Electrical engineering, M. S. In Telecommunication Engineering, or Ph.D. degrees, are required to attend the seminars given by faculty, visiting scholars, and fellow graduate students. Additionally, each student must present at least one seminar on a timely research topic. Among other things, this course is designed to give the student an overview of research in the department, and a familiarity with the research  methodology, journals and professional societies in his discipline. Graded on a Pass or Fail basis.
 
EE 610   M.S. Thesis     (0-0-6)
 
EE 620   High Voltage Engineering     (3-0-3)
 
Breakdown in gases, solids and liquids.  Analysis of high voltage transmission: switching and lighting surges.  Insulation coordination in electrical power system. Basic impulse levels.  System grounding and insulation designs.  High voltage generation and measurement.
 
Prerequisite:   EE 464 or equivalent
 
EE 622   Power System Operation     (3-0-3)
 
Mathematical methods and tools applied to power system operation.  Characteristics of power generation units.  Economic dispatch of generating units and methods of solution.  Transmission system effects.  Unit commitment, dynamic programming, Heuristic methods.  Hydrothermal coordination.  Maintenance scheduling.  Power interchange production cost models. Generation control.  Reactive power dispatch and allocation.
 
Prerequisite:   EE 463 or equivalent
 
EE 623   HVDC Transmission System     (3-0-3)
 
Comparison between AC and DC transmission.  Converter circuit configuration.  Converter operation and analysis.  Misoperation of converter.  Harmonics and filters.  Ground return.  Integration of HVDC links into power systems.  AC-DC load flow, short circuit and stability calculations.
 
Prerequisite:   EE 460 or equivalent
 
EE 629   Special Topics in Power Systems     (3-0-3)
 
The contents of this course will be in one of the areas of interest in power systems.  The specific contents of the special topics course will be given in detail at least one semester in advance of that in which it is offered.  It is also subject to the approval  by the Graduate Council.
 
Prerequisite:   Consent of the Instructor.
 
EE 631   Microwave Measurements   (1-6-3)
 
Microwave signal sources.  Waveguide components.  Network analyzer measurements. Scattering parameters of microwave planar transistors.  Doppler effect.  Time domain  reflectometry.  Microwave links.  Antenna impedance and pattern measurements. Microstrip transmission lines. Resonant cavities.
 
Prerequisite:   EE 405 or equivalent
 
EE 632   Scattering and Diffraction of Electromagnetic Waves     (3-0-3)
 
Radiation condition and radar cross section.  Cylindrical wave functions. Field of a line source.  Plane  wave  and  line  field  scattering  by  conducting  circular  cylinders. Spherical wave functions.  Plane wave scattering by conducting and dielectric spheres. Approximate techniques applied to Rayleigh  scattering.  Application  to  a  conducting sphere.  High frequency approximation.  Geometric theory of diffraction.   Diffraction by a slit.
 
Prerequisite:   EE 530
 
EE 633   Optical Fiber Communication     (3-0-3)
 
Dielectric slab waveguides. Classification of mode types. Parabolic two-dimensional media. Circular waveguides. Step-index and graded-index optical fibers. Effect of loss. Dispersion effects. Fabrication methods in integrated optics and optical fibers. Light sources. Couplers. Opto-electronic devices. Applications in communication systems.
 
Prerequisite:   EE 420 or equivalent
 
EE 636   Theory and Applications of Antenna Arrays     (3-0-3)
 
Antenna array fundamentals. Analysis and synthesis of discrete linear arrays. Two-dimensional arrays. Concept of adaptive arrays. Adaptive beam forming and nulling. Superdirective array functions. Suppression of side lobes in linear arrays.
 
Prerequisite:   EE 422 or equivalent
 
EE  635   Computational Electromagnetics     (3-0-3)
 
Review of basic electromagnetic theory and partial differential equations (PDEs).  Finite-difference approximation of PDEs. The finite-difference time domain (FDTD) in 2D and 3D. The Yee’s mesh. Scalar formulation of the FDTD method. Related topics including numerical stability and dispersion, boundary conditions, materials, etc. Introduction to other methods such as the finite-element method, the method of lines, beam propagation method, and the method of moments. Applications and case studies.
 
Prerequisite:   Consent of the Instructor
 
EE  639   Special Topics in Electromagnetics     (3-0-3)
 
The contents of this course will be in one of the areas of interest in electromagnetics. The specific contents of the special topics of course will be given in detail at least one semester in advance of that in which it is offered. It is also subject to the approval by the Graduate Council.
 
Prerequisite:   Consent of the Instructor
 
EE 642   Analog VLSI Circuit Design     (3-0-3)
 
MOS and CMOS technology: building blocks, devices, capacitors and limitations. Operational amplifiers and other analog systems. Application to filter design and data converters. Layout considerations and CAD tools.
 
Prerequisite:   EE 542
 
EE 645   VLSI Architecture     (3-0-3)
 
Review of MOS transistors: fabrication, layout and characterization. Review of CMOS circuit and logic design: fully complementary CMOS logic, pseudo-NMOS logic, dynamic CMOS logic, pass-transistor logic, clocking strategies. Subsystem design: ALUs, multipliers, memories, PLAs. Architecture design: iterative cellular design and systolic arrays. Application to system level  designs.
 
Prerequisite:   EE 541
 
EE 649   Special Topics in Digital Systems and Electronics     (3-0-3)
 
The contents of this course will be in one of the areas that has the nature of research topics in digital and electronics systems. For example: VLSI architectures, Advanced analog ICs, Physics of ultra small devices, etc.
 
Prerequisite:   Consent of the Instructor
 
EE  651   Adaptive Control     (3-0-3)
 
Introduction to the various approaches of adaptive controller design. Real-time parameter estimation. Model reference adaptive control. Self-tuning controllers. Variable structure systems. Gain Scheduling. Robustness issues. Practical aspects and implementation.  Typical Industrial applications.
 
Prerequisite:   EE 550 or equivalent (cross-listed with SE 537)
 
EE 652   Nonlinear Systems      (3-0-3)
 
Introduction to nonlinear dynamics and control. Overview of phase plane analysis, describing function and limit cycles. Lyapunov stability. Input/output stability. Input/output linearization. Stabilization and control of nonlinear systems.
 
Prerequisite:   EE 550 or equivalent (cross-listed with SE 517)
 
EE 653   Robust Control      (3-0-3)
 
Elements of robust control theory. Norms of signals and systems.  Performance specifications.  Stability and performance of feedback systems.  Performance limitations.  Model uncertainty and robustness.  Parametrization of stabilizing controllers.  Loop transfer recovery robust design. control and filtering.
 
Prerequisite:   EE 550 or equivalent (Not to be taken for credit with SE 654)
 
EE 654   Large Scale Systems     (3-0-3)
 
Introduction to large scale systems.  Classical Model reduction techniques.  Component cost analysis method.  L2 model reduction.  Hankel norm approximation.  Introduction to  model reduction.  Relations between modeling and  control.  Closed loop model reduction.  Decentralized control design schemes.  System’s interactions. Coordinated and hierarchical control. Case studies.
 
Prerequisite:   EE 550 or equivalent (Not to be taken for credit with SE 509)
 
EE 655   Predictive Control     (3-0-3)
 
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.
 
Prerequisite:   EE 550 or equivalent
 
EE 656   Robotics & Control     (3-0-3)
 
Basic concepts of robotics. Mathematical  description of industrial manipulator. Homogeneous transformation and the Denavit-Hartenberg notation. Transformation between frames. Forward, and inverse kinematics and  dynamics. Newton - Euler and Lagrange formulations. Joint space, and Cartesian space trajectories and dynamic control. Trajectory planning. Advance control schemes.
 
Prerequisite:   EE-550  OR Consent of the Instructor
 
EE 659   Special Topics in Control     (3-0-3)
 
The contents of this course will be in one of the areas of interest in control. The specific contents of the special topics of course will be given in detail at least one semester in advance of that in which it is offered. It is also subject to the approval by the Graduate Council.
 
Prerequisite:   Consent of the Instructor
 
EE 661   Digital Signal Processing II     (3-0-3)
 
Optimal one- dimensional filter design techniques.  Multidimensional digital signals and systems.  Multidimensional Fourier transform.  Analysis of multidimensional systems and digital filter design.  Implementation issues.  Parametric and non- parametric spectral estimation.  Applications.
 
Prerequisite:    EE 562 or equivalent
 
EE 662   Adaptive Filtering and Applications   (3-0-3)
 
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.
 
Prerequisite:   EE 570 or equivalent
 
EE 663   Image Processing     (3-0-3)
 
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, restoration. Reconstruction from projection. Analysis and computer vision.
 
Prerequisite:   Consent of the Instructor (Not to be taken for credit with SE 662)
 
EE 664   Wavelet Signal Processing     (3-0-3)
 
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.
 
Prerequisite:   EE 562 or equivalent
 
EE  665   Signal and Image Compression     (3-0-3)
 
Principles and techniques of signal compression, Quantization theory, Linear prediction, Coding techniques: predictive, transform, entropy, and vector quantization, Fidelity, bit-rate, and complexity trade-offs. Compression standards, Applications to speech, audio, image, and video compression.
 
Prerequisite:   EE 562 or equivalent
 
EE  669   Special Topics in Signal Processing     (3-0-3)
 
The contents of this course will be in one of the areas of interest in signal processing.. The specific contents of the special topics of course will be given in detail at least one semester in advance of that in which it is offered. It is also subject to the approval by the Graduate Council.
 
Prerequisite:   Consent of the Instructor
 
EE 672   Satellite Communications     (3-0-3)
 
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 cross links. VSAT and mobile satellite systems.
 
Prerequisite:   EE 571
 
EE 674    Telecommunication Networks     (3-0-3)
 
Introduction to modern communication networks, Data traffic, Queuing models, Multi-access channels, Mutiplexing, Packet switching, Circuit switching, Datagrams, Protocols, Media access control, Resource allocation, SONET, ATM, Performance analysis, Product-form queuing networks, Local area networks, Ethernet, Fiber-Distributed-Data-Interface (FDDI), Token rings, Token busses, Polling systems, Optimal routing and flow controls.
 
Prerequisite:   EE 570 (crosslisted with COE 540)
 
EE 679   Special Topics in Communication     (3-0-3)
 
The contents of this course will be in one of the areas of interest in communication. The specific contents of the special topics of course will be given in detail at least one semester in advance of that in which it is offered. It is also subject to the approval by the Graduate Council.
 
Prerequisite:    Consent of the Instructor
 
EE 690   Advanced Electrical Engineering Projects     (3-0-3)
 
Individual research projects to be approved by the supervising faculty members before registering for the course. An approved written report must be filed with the Graduate Committee before credit is accepted. Credit of this course may not be used towards the fulfillment of the M.S. Degree.
 
Directed & Independent Research: 
 
1. XXX 7xx Directed Research: 
Prerequisite: prior arrangement with an instructor; (3 credits - P/F)
This course is intended to allow the student to conduct research in advanced problems in his PhD research area. The faculty offering the course should submit a research plan to be approved by the Graduate Program Committee at the academic department. The student is expected to deliver a public seminar and a report on his research outcomes at the end of the course.
 
2. XXX 7xx Directed Research:
Prerequisite: prior arrangement with an instructor; (3 credits — P/F)
This course is intended to allow the student to conduct research in advanced problems in his PhD research area. The faculty offering the course should submit a research plan to be approved by the Graduate Program Committee at the academic department. The student is expected to deliver a public seminar and a report on his research outcomes at the end of the course.
 
3. XXX.6xx Independent Research: 
Prerequisite: prior arrangement with an instructor; (3 credits - P/ F) This course is intended to allow the student to conduct research in advanced problem in his MS research area. The faculty offering the course should submit a research plan to be approved by the Graduate Program Committee at the academic department. The student is expected to deliver a public seminar and a report on his research outcomes at the end of the course.
 
XXX-710 PhD Dissertation (EE 710   Ph.D. Dissertation (0-0-12)​)
 
Reference is made to the recent University Council’s approval of the splitting the 12 credit hours for XXX-710 PhD Dissertation into two courses as follows:
 
XXX 711 PhD Pre-Dissertation (0-0-3)
This course enables the student to submit his PhD Dissertation Proposal and defends it in public. The student passes the course if the PhD Dissertation committee accepts the submitted dissertation proposal report and upon successfully passing the Dissertation proposal public defense. The course grade can be NP, NF or IP. 
Prerequisite: (PhD candidacy and co-requisite XXX-699)
 
XXX 712 PhD Dissertations (0-0-9)
This course enables the student work on his PhD Dissertation as per the submitted dissertation proposal, submit its final report and defend it in public. The student passes this course if the PhD Dissertation committee accepts the submitted final dissertation report and upon successfully passing the Dissertation public defense. The course grade can be NP, NF or IP.
Prerequisite: (XXX-711)
 
Special Instructions:
 
In coordination with the Registrar’s Office, it was agreed that the implementation plan for the new courses will be as follows: 
1. PhD students who have registered XXX-710 in current or previous semesters will continue registering XXX-710 until they graduate.
2. PhD students, who never registered XXX—710, are required to register and pass XXX-711 first and then XXX-712 in subsequent semesters.
3. If PhD students register otherwise, the Registrar will drop the course(s) automatically in the second week of the semester.
4. The degree plans of all PhD students eligible for XXX—711 and XXX—712 are required to be resubmitted after being modified accordingly. 
Kindly arrange for the new courses XXX-711 and XXX-712 to be offered starting from the early registration for the next semester. In addition, please guide your PhD students through this and monitor their registration for coming semesters in order to ensure the above policy is in adhered with and to avoid dropping of their courses.