Hands-on training in practical installation and maintenance of secure systems, including such topics as security configuration, DMZs, firewalls, anti-virus software, and hardware security modules.

Prerequisite: Graduate standing.

The course focuses on the theoretical and principles of applying machine learning algorithms to sensor/loT data sets, engaging in the techniques of feature extraction and evaluation in model building.

The Syllabus.

Engineering models for electrical behavior of nerve and muscle cells, electrode-tissue junctions,  volume conductions in tissue and the nervous system as an electrical network.

Prerequisites: EEE 4202C or permission of the instructor

Spectrum of radiation sources, types of fields, properties of living tissue, mechanisms of field
propagation in tissue. Application in imaging and therapy, hazards and safety.

Prerequisites: EEL 4410 or permission of the instructor.

Analysis and design of logic gates using saturated and non-saturating elements, transmission gates, interfacing of logic families, bistable circuits, A/D and D/A converters.

Prerequisites: EEE 4304
or permission of the instructor.

Bipolar junction transistor physics. Semiconductor bulk properties at equilibrium and nonequilibrium. PN junction theory. Theory of the bipolar junction transistor.

Prerequisites: EEE 3396 or permission of the instructor.

Field effect device physics and technology. MOS capacitor. DC and AC characteristics of the MOS transistor. The MOS transistor in dynamic operation.

Prerequisites: EEE 3396 or permission of the instructor.

A study of solid state devices for the control of power, their applications and limitations in power switching circuits and in the control of physical transducer.

Prerequisites: EEL 4213, EEE 4304 or permission of the instructor.

Analysis and design of high frequency amplifiers and oscillators: stability, scattering parameters, use of the Smith chart and other practical design tools, noise.

Prerequisites: EEE 4304, EEL 4410 or permission of the instructor.

Nanoscale electrical, optical and magnetic device operation. Overview of new devices enabled by
nanotechnology, methods for fabrication and characterization of nanoscale and devices. Prerequisite: EEE 3396.

This course covers the advanced theory and technology for fabrication of micro/nano-scale electronic devices. Includes lectures and laboratory sessions on techniques such as lithography and etching.

Prerequisites: EEE 5425 or permission of the instructor.

EEE 5427C Syllabus

This course thoroughly investigates the fundamentals of modern signal detection theory. The topics to be covered include: Deterministic signals, Random signals, Statistical decision theory.

Prerequisites: EEE 5543 or permission of the instructor.

Noise, random processes, correlation, spectral analysis in the analysis and design of communication systems. Optimization techniques; minimum mean square error.

Prerequisite: EEL 3514.

In this project-based class, the students will gain advanced hands-on training in the security of Internet-of-Things (IoT) and Cyber-Physical Systems (CPS) areas.

Prerequisites: Programming coursework, any CS oriented courses or any embedded coursework or permission of the instructor.

Characterizing biosignals by application of time and frequency domain analytic methods. Comparison of analog and digital processing. Engineering design for VLSI implementations
in implantable devices.

Prerequisites: EEE 6502 or permission of the instructor.

Engineering design of advanced systems for processing biosignals. Methods for signal compression. Adaptive systems for automatic recognition. Application of artificial intelligence for signal classification.

Prerequisites: EEE 6285 or permission of the instructor.

Principles of analog and digital electronics network. Advanced analysis, modeling and computer simulation of op amps. Analog design techniques and practical examples are covered.

Prerequisites: EEE 4314 or permission of the instructor.

Study of linear properties of electronic systems and design of fault tolerant systems using A/D and D/A and control algorithms.

Prerequisites: EEE 6311 or permission of the instructor.

IC technologies, properties and fabrication concepts. Bipolar, MOS, I2L, CCD, bubble technologies. Ion implantation characteristics. Lithography techniques.

Prerequisites: EEE 3396, EEE 4304 or permission of the instructor.

Thin films used in microelectronics and optoelectronics; deposition methods; evolution of film microstructure; film growth modeling; introduction to film analysis.

Prerequisite: EEE 3396.

This course focuses on carrier transport fundamentals, beginning at the microscopic level and progressing to the macroscopic effects relevant to semiconductor devices.

Prerequisite: EEE 5352.

This course focuses on quantum phenomena occurring in carrier transport in modern small-size
semiconductor devices.

Prerequisite: EEE 6335

Covers the basic physical properties of superconductors. Superconducting devices: squids, memory & logic elements. Emphasis is placed on applications of superconductors.

Prerequisites: EEE 3396 and EEL 4410.
Corequisite: Permission of the instructor.

Device physics and modeling of GaAs FETS. GaAs analog and digital integrated circuits. Modulation doped field effect transistors. Heterojunction bipolar transistor theory.

Prerequisite: EEE 3396.

Properties of materials from which electronic components and structures are fabricated; electrical conduction in metals, semiconductors and insulators; thermal; magnetic; optical.

Prerequisite: EEE 3396

This course provides advanced principles of quantum computers and quantum information systems with in-depth analysis and state of the art physical implementations.

Course Flyer

Indepth coverage of the fundamentals of colloidal interactions between surfaces, particles, surfactants and biomolecules, and their relevance to self-assembly.

Prerequisites: Knowledge of thermodynamics, statistical mechanics and/or physics.

This course will give students an introduction with an emphasis on design and analysis of fundamentals of electrochemical sensing and integration into microfluidic systems.

Prerequisites: EEL 3396 or permission of the instructor.

Treatment of digital signal and system characteristics: Z transforms and FFT theory. Real time and correlation functions. Multidimensional signal processing and digital filtering.

Prerequisite: Permission of the instructor.

The course covers both the theoretical and practical aspects of statistical parameter estimation from received signals in noise. Both classical estimation and Bayesian estimation are studied.

Prerequisite: EEE 5543 or permission of the instructor.

Various sensor systems, sensor signal detection, signal estimations, distributed sensor networks, sensor data fusion approaches, wireless sensor networks, radar networks and optimal sensor allocation and sensor network design.

Prerequisite: EEL 3514 or permission of the instructor.

This course will be able to fabricate, assemble, and design driving firmware of the custom designed loT system/device and hands-on experience on the IOT hardware platform design, optimization, testing.

Prerequisite: Permission from instructor (No hardware design experience is required)

The course covers a broad range of topics and concepts required to pursuing a Master's
Degree in Electrical and Computer Engineering.

Prerequisite: Permission of the instructor.

Graduate course in the design and advance analysis of passive and active high order circuits. Use of computer as a design tool.

Prerequisites: EEL 4140 or permission of the instructor.

State-space representations for continuous and discrete-time systems, controllability and observability, pole-zero allocation, Lyapunov stability theorem, state observers.

Prerequisites: EEL 3657 or permission of the instructor.

Traveling waves on transmission and multi-conductor systems, successive reflections, distributed parameter systems, transients on integrated power systems.
EEL 5270

Prerequisites: EEL 4213 or permission of the instructor.

Analysis of power systems under faulted conditions using linear transformation. The study of surge, transient and waves on power lines. Computer-aided analysis and design emphasizing protection of equipment.

Prerequisites: EEL 4215 or permission of the instructor.

Design, simulate and solve smart grid cyber security issues. Manmade and natural large scale disturbances. Smart grid cyber networked standards and new Intelligent Electronic Devices (IED).

Prerequisite: Graduate standing.

Alternative energy techniques, solar power, wind power, biomass, and other sources, electric power grid and integration of renewables, energy storage and smart energy utilization and public policy.
The link of the Syllabus.

Prerequisites: EEL 4213 or equivalent

Transmission lines, guided EM propagation, microwave circuits, resonators, impedance matching, passive components, thin-film circuits, filters, two-port networks, measurements, advanced simulations.

Prerequisites: EEL 3135 and EEL 3110.

The goal of this course is to teach modeling RF, terahertz and photonics structures using electromagnetic full-wave solvers. The class will use commercial EM solvers to model state-of-the-art problems.

The Syllabus.

Prerequisite: EEL 3135, EEL 4410.

Microwave guides. Microwave tubes. Microwave solid state devices. Microwave integrated circuits, Microwave enclosures.

Prerequisites: EEL 4410 or permission of the instructor.

Antenna principles, wire antennas, printed antennas, antenna arrays, and measurements. Full-wave
simulation software is used for the design and analysis of antennas for wireless communication systems.

Prerequisite: EEL 4410 or permission of the instructor.

Concepts and theorems in fields and waves, analytic techniques for guided waves, radiation and scattering, numerical techniques for analysis of electrical devices.

Prerequisites: EEL 4410 or permission of the instructor.

This course will consider the most important aspects of digital communication systems such as noise related subjects, random signals, linear systems, and baseband digital modulation and multiplexing.

Prerequisites: EEL 3514 or permission of the instructor.

This course will consider more important aspects of digital communication systems such as matched filters, digital base and modulation, multiplexing, carrier digital modulation and error correction coding.

Prerequisites: EEL 5500 or permission of the instructor.

Use of fiber optics as a communication medium. Principles of fiber optics; mode theory; transmitters, modulators, sensors, detectors and demodulators; fiber data links.

Prerequisites: EEL 3514, EEE 4314 and EEL 4410 or permission of the instructor.

Introduction to the basic concepts in Long Term Evolution (LTE) technology and beyond.

Prerequisite: Permission of the instructor.

The course covers the fundamentals of wireless digital communications from a DSP perspective. Hands-on experience with wireless communication principles is achieved through lab
experiments and course projects.

Prerequisites: EEL 3514 and EEE 4510.

Analysis and design of digital control systems. Z-transforms, analysis and control of discrete-time systems, digital control of analog systems. Several digital controller design methods. Computer simulation and microprocessor implementation.

Prerequisite: EEL 3657.

System engineering synthesis, analysis, and evaluation of computer-communication networks.
Network design, routing and flow control, telecommunication traffic engineering, transmission,
switching, etc.

Prerequisite: Permission of the instructor.

Analysis, design and implementation of digital filters. Hardware and software approach to design.

Prerequisite: Permission of the instructor.

This course involves systematic studies of Fault Tolerant Digital Systems, VHDL and VERILOG
based dynamic digital system designs, and system implementations with CPLDs, FPGAs, ASICs.

Prerequisite: EEE 4304, EEL 4746 or permission of the instructor.

Interfacing of various microprocessors together. Concepts of master-slave systems, virtual memory and I/O control techniques. Digital system evaluation and optimization.

Prerequisites: EEL 4746 or permission of the instructor.

EEL 5741 Syllabus

Techniques for the implementation of Digital Signal Processing (DSP) algorithms in dedicated
processors, for assessing real-time performance of audio, control, and communication systems.

Prerequisites: EEE 4510 or permission of the instructor.

This course covers a range of topics and concepts required to pursuing a Master's Degree in
Computer Engineering associated with the integration of hardware and software in devices for cybersecurity.

Prerequisite: Permission of the instructor.

This will give individuals an exposure to the latest hacking tools and techniques to understand the anatomy of computer attacks and teach them the countermeasures to protect their valuable data.

Various artificial neural networks and their training algorithms will be introduced. Their applications to electrical and computer engineering fields will be also covered.

Prerequisite: Permission of the instructor.

Image Fundamentals, Image Transforms, Image Enhancement, Edge Detection, Image Segmentation, Texture Analysis, Image Restoration, and Image Compression.

Prerequisite: EEL 3135 and knowledge of any programming language (FORTRAN, Pascal, C).

A course designed to give groups of students an opportunity to pursue special studies in an advanced topic of Electrical Engineering not otherwise offered.

Prerequisite: Permission of the instructor.

Graduate students acquire practical experience through supervised internship in industry. The student prepares an internship proposal, and the work performed is documented in a report and
presented.

Prerequisite: Permission of the student's advisor.

Graduate students acquire practical teaching experience through supervised course teaching. The student prepares an internship proposal, and the work performed is documented in a report and
presented.

Prerequisite: Permission from student's advisor and department.

Corequisite: Teaching at least one full course during that semester.

Numerical techniques for the analysis of static and diffusion eddy current type field problems and associated phenomena in electrical devices. Emphasis on implementation and applications to practical problems. EEL 6020

Prerequisites: EEL 4213, MAP 3302 or equivalent or permission of the instructor.

Modeling and analysis of networks by t-domain and s-domain techniques. Topics include topology, formulation of loop eqs and node pair eqs., state space networks, computer solutions.

Prerequisites: EEL 3112 or permission of the instructor.

Study of VLSI Design concepts in MOS/CMOS environment, CAD techniques, VLSI array processors and wavefront array processors, and implementation of array processors.

Prerequisites: EEL 5741, EEE 4314.

Modeling of networks under non-sinusoidal conditions, loads which may cause power quality problems, analysis of harmonics, flickers, impulses, standards, power quality improvement
methods. EEL 6219

Prerequisites: EEL 4213 or permission of the instructor.

Switched, resonant and bidirectional power supplies, DC motors: single, three phase and chopper drives. AC motors: voltage, current and frequency control. Closed loop control.
EEL 6235

Prerequisites: EEL 4213, EEE 3303, EEL 3657.

Power systems analysis and designs by computer solutions. Interactive solutions, power flow, optimum solutions. Dynamic solutions and stability.
EEL 6253

Prerequisites: EEL 4215 or permission of the instructor.

Expansion planning, load forecasting, reliability and availability application to generation planning, bulk power supply systems, generation system operation and production costing analysis.

Prerequisites: EEL 4215 or permission of the instructor.

Steady-state analysis, fault studies, load flow, dynamic and transient performance, on-line control, practical applications.
The link of the syllabus.

Prerequisites: EEL 4215 or permission of the instructor.

Power system security assessment using intelligence systems techniques such as pattern recognition, expert systems, and neural networks. Class projects include applying IS to load
forecasting, alarm processing.
The link of the syllabus.

Prerequisites: EEL 4214, EEL 6273.

Direct methods for system stability, computer analysis of large scale models, Lyapunov stability, longer term stability, security analysis, MW-frequency control, isolated and multiple area control.
EEL 6273

Prerequisites: EEL 4215 or permission of the instructor.

Introduction to optical devices and systems such as solid state laser systems, their applications in industry. Also holography, linear and non-linear optical modulation and demodulation concepts.

Prerequisites: EEL 4410, EEE 4314.

Corequisites: EEL 5563 or permission of the instructor.

Course focuses on specification, design and application of fiber optic communication systems considering the fiber optic wave guide, optical device sources, photodetector, receiver and transmitter designs.

Prerequisites: EEL 5501 or permission of the instructor.

Radiation patterns of dipoles and loops, array analysis and synthesis, self-impedance and mutual impedance, frequency independent antennas and antenna miniaturization, and reflectors and lens antenna.

Prerequisite: EEL 4410.

This course covers advanced concepts on phased arrays It discusses scanned array in terms of radiation from apertures and traditional antennas, and introduces the effects resulting directly from scanning, including beam broadening, impedance mismatch, gain reduction, pattern squint and those effects of array periodicity including grating, quantization lobes and array blindness.

Prerequisite: EEL 3514 Communication Systems, EEL 5437 Microwave Engineering, EEL 5467 Antennas for Wireless Communication systems, EEL 5482 Fields and Waves Engineering.

Course Flyers.

This course will consider processing and non-processing transponders, earth terminals, propagation link characteristics, multiple access techniques, and spread spectrum techniques.

Prerequisites: EEL 5501 or permission of the instructor.

Methods for the analysis and estimation of a signal's spectral content. These include nonparametric, parametric and line spectral estimation, filter bank techniques and array processing.

Prerequisites: EEE 5543 or EEE 6502 or permission of the instructor.

Picture input device design, pictorial information systems hardware, picture processor design, picture storage system design, pictorial database system design, picture communication interface design, and engineering applications.

Prerequisites: EEL 4709C or CDA 4400.

Digital networks for data communications, CCITT, HDLC, SDLC. Real time switching techniques. Microprocessor based network topologies. Busing schemes such as VME, MULTIB, RS232.

Prerequisites: EEL 4746 and EEE 4314 or permission of the instructor.

Graduate level treatment of modern control systems. Optimal control of feedback systems. Performance measures, Pontryagin’s minimum principle, dynamic programming, numerical
techniques.

Prerequisites: EEL 5171 or permission of the instructor.

Course in Internet-of-things (IoT) applications, feedback control, and the hand-on implementation on the CPS systems sensing, and systems testing.

Prerequisites: EEL 6614 or permission of the instructor.

Course in Cyber-Physical System modeling, diagnostic tests, and systems validation. Handon
implementation on the design of embedded CPS systems.

Prerequisite: EEL 5171.

Applications of fuzzy theory to develop design methodologies for various engineering systems. Emphasis will be on systems for pattern recognition, model identification, and automatic control.

Prerequisite: Permission of the instructor.

Advanced design and development of Very Large Scale Integrated Circuit (VLSI) Micro Chip Structures. Mirco Chip routing and thermal optimizations will be emphasized for implementing
VLSI units.

Prerequisite: Permission of the instructor.

The Course Flyer.

Application of wavelet theory to transient and non-stationary signal processing; compression and
noise reduction of signals, singularity and edge detection, and time-frequency analysis.

Prerequisites: EEL 3135 or equivalent.

Hardware microprocessor based systems, BIOS (basic input and output), Kernel partitions, memory, stack organization and physical design of operating systems.

Prerequisites: EEL 4709C and EEL 4746 or permission of the instructor.

Network Security Requirements, Number Theory, Steganography, Encryption Design Principles and Algorithms, Message Authentication and Digital Signature Principle and Designs, Network System Security Design.

The Syllabus.

Prerequisite: Permission of Instructor.

The power/thermal challenges in computing system design; source of the power dissipation and power/thermal modeling; power/thermal aware design techniques at different design abstraction levels.

Prerequisites: EEL 4709C or permission of the instructor.

This course provides students with the advanced skills to track and counter a wide range of sophisticated threats including espionage, hacktivism, financial crime syndication, and APT groups.

Prerequisite: EEL 4802.

This course provides the student with the necessary tools and techniques to perform practical reverse engineering on suspicious files and firmware encountered in a range of devices and understanding the implications associated with a malware attacks.

Prerequisite: EEL 4802.

Latest concepts in artificial neural networks research and newly developed applications. Implementation, convergence in learning algorithms, accuracy refinement, and optimal
structure of neural networks. Engineering applications.

Prerequisite: EEL 5810

This course bridges electronics to the understanding of neurobiologically inspired models. Biological tasks and neural computations are studied in the context of networks and processing elements.

Prerequisite: Permission of instructor.

Image formation and image properties, Radiance and irradiance, introduction to Brain Topography, Color Vision, visual machinery of the brain, statistical pattern classification and decision functions, the eigensystem and its computational aspects, stereo vision, motion vision, size and orientation
independence.

Prerequisite: EEL 5820

Pattern recognition techniques via computer: decision functions, optimum decision criteria, training algorithms, unsupervised learning, feature extraction, data reduction, machine intelligence.

Prerequisites: EEE 5543 or permission of instructor.

Computer techniques for the visualization of brain electrical activity. Analysis of the origin of this
activity as it relates to its measurement and visualization through computerized systems.

Prerequisites: EEE 4510 or permission of instructor.

The course involves self testing and correcting type of modular computer system development. Also concepts relating to Artificial Intelligence and Expert systems will be integrated into the computer system design.

Prerequisite: EEL 4709C.

Introduction to real-time computing; real-time system modeling; classic uniprocessor scheduling; power-aware and thermal-aware real-time scheduling; multiprocessor and distributed real-time computing.

Prerequisites: EEL 4709C or permission of the instructor.

EEL 6894 Syllabus

Independent research work culminating in a professional practice-oriented report for the requirements of the non-thesis option of the M.S. degree project.

Prerequisites: Fifteen graduate credits and approved project plan.

Course covers advanced topics not in existing graduate courses in electrical and computer
engineering.

Prerequisite: Permission of the instructor.

An examination of recent technical findings in selected areas of concern. Emphasis is placed on presentations (oral and written), research activities, readings, and active discussions among participants.

Prerequisite: Consent of graduate advisor.

The student, following the option of the Master’s Degree with thesis, should work for his/her thesis through this course.

Prerequisite: Graduate standing.

This course introduces the principles and techniques used in the active microwave transistor (BJT, GaAs MESFET and HEMT) amplifiers and oscillators analysis and design.

Prerequisite: EEL 5437 – Microwave engineering

Advanced research credits under the supervision of the dissertation advisor.

Prerequisite: Completion of the written comprehensive examination.

Doctoral research leading to Ph.D. Electrical Engineering Dissertation.

Prerequisites: Permission of Major Professor and Doctoral Candidacy.

This course focuses on nanoscale processes and devices and their applications or manipulating light on the nanoscale. Photonic crystals, plasmonics, metamaterials and Si photonics are covered.

Prerequisites: EEE 3396, EEE 5425 or equivalent.

Overview of wireless communications systems; interference, blocking, spectral efficiency;
performance of digital modulation in presence of fading; diversity techniques; and multimedia applications.

Prerequisite: EEL 3514.

Techniques impacting ubiquitous, embedded sensor network-centric telecommunications, context
-awareness, autonomy, data quality, uncertainty, privacy, trustworthiness and wearable
computing.

Prerequisites: Graduate standing and permission of the instructor.

TCN 5271 Syllabus

Advanced antenna theory, simulation, and design as applied to wireless communications, advanced state-of-the art antenna systems, and body-centric wireless communications.

Prerequisites: EEL 4410 or permission of the instructor.

Applications of structural, mechanical, electrical and electronic technologies to prepare performing arts students for management and production roles. Includes basic circuits and NEC codes, control systems.

Prerequisite: Permission of graduate advisor.