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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: control, status,
timing and clocking schemes and circuits. Digital memories. System
controllers using RAMs, ROM, PAL, and FPLAs. Iterative networks and
modular design procedures.
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)
Click here to Download the
detailed Syllabus (PDF Format)
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 equivalent (crosslisted with SE 632)
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
Click here to Download the
detailed Syllabus (PDF Format)
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.
EE 710 Ph.D.
Dissertation (0-0-12)
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