Electrical Engineering
College of Engineering
Chair Jonathan Bredow
Web www.uta.edu/ee/
Email eedept@uta.edu
Phone 817.272.2672
Fax 817.272.2253
Degrees / Certificates
Master’s Degrees
Electrical Engineering, M.Engr. Non Thesis
Electrical Engineering, M.S.
Electrical Engineering, M.S. Fast Track
Doctoral Degrees
Electrical Engineering, B.S. to Ph.D.
Electrical Engineering, Ph.D.
Graduate Faculty
Professor
Associate Professor
W Alan Davis, Graduate Advisor:
Electrical Engineering, M.Engr. Non Thesis
Electrical Engineering, M.S.
Electrical Engineering, Ph.D.
William E Dillon, Graduate Advisor:
Electrical Engineering, M.S.
Electrical Engineering, Ph.D.
Assistant Professor
Senior Lecturer
Department Information
Courses
Technical Areas, Courses, and Technical Proficiency Courses
Objective
The course offerings provide the student with an opportunity to broaden as well as to intensify his or her knowledge in a number of areas of electrical engineering. The student, with the aid of a faculty adviser, may plan a program in any one of a number of fields of specialization within electrical engineering or from the offerings of related departments in science and engineering.
Graduate study and research are offered in the areas of:
- Digital and Microprocessor/Controller Systems: Digital Signal Processors, Embedded Microcontrollers, Microprocessors, Advanced Microprocessor Systems
- Solid-State Devices, Circuits and Systems:Semiconductor Theory, Microwave Devices and Circuits, Analog Electronics.
- Systems and Controls: Systems, Controls, Manufacturing, Discrete Event Control, Neural and Fuzzy Control, Nonlinear Modern Control, Biomedical Signal Processing and Instrumentation
- Electromagnetic Fields and Applications:Remote Sensing, Electromagnetic Fields, Propagation, Scattering, Radiation, and Microwave Systems.
- Digital Signal and Image Processing: Vision Systems, Neural Networks, Statistical Signal Processing, Nonlinear Image Processing, Virtual Prototyping, and Virtual Environments.
- Telecommunications and Information Systems: Information Transmission and Communication Systems
- Power Systems: Efficient Operation, Generation, Transmission, Distribution, Deregulation
- Optical Devices and Systems: Optics, Electro-optics, Diffractive Optics, Nonlinear Optics, and Lasers
- Nanotechnology and MEMS - Materials and Devices: Quantum Electronic Devices, Semiconductor Surfaces and Interfaces, Single Electron Devices, Sensors and Detectors, Carbon Nanotube Devices, Noise and Reliability in Nano-Electronic Devices, Microactuators, RF MEMS, Polymer Electronics, and Nanophotonics
- Renewable Energy Systems and Vehicular Technology: Power Electronics Engineering, Motor Drives, Renewble Energy Systems, Grid-Integration, and Vehicular Power Structure
The program is designed to satisfy the needs of students pursuing master's and doctoral degrees and to provide for the student seeking to increase knowledge in areas of electrical engineering related to engineering practice. The courses offered will provide practicing engineers with advanced, up-to-date education in electrical engineering.
Admission Criteria
The admission process considers all of the application material including official transcripts, GRE scores, letters of recommendation, and the statement of purpose. No single objective factor is used to finalize the decision for admission or to deny admission. It is expected that an applicant have background in such areas as linear systems, dc and ac electronics circuits, static and dynamic electromagnetic fields, microprocessors, among the courses completed in a typical electrical engineering curriculum. Students with a BS in other fields are encouraged to apply, but they may be required to remedy a lack of required EE courses by taking some undergraduate EE courses. An attempt will be made to match the technical aspirations of the potential graduate students with the departmental resources in order to provide a stimulating academic environment for the students and their graduate education.
Criteria concerning (1) unconditional admission, (2) provisional admission, (3) deferred admission, (4) denial of admission, and (5) fellowship, are given below.
- Admission with Unconditional Status: A typical applicant who is "admitted" will have met the following admission requirements.
- The minimum undergraduate GPA requirement
- For MSEE admission 3.25 (on a 4.0 scale) based on upper division coursework (junior and senior level or equivalent)
- For Ph.D. admission 3.5 based on MSEE or equivalent
- Relevance of the student's undergraduate degree (background) to the EE curriculum.
- Rigor of the student's Bachelor's degree.
- Reputation of the University/College that the student received his/her previous degrees
- For Ph.D. applicants, the publications in scholarly conferences/journals are optional but will improve both a student's chances of securing admission and receiving financial support.
- Three recommendation letters from individuals who can judge the probability of success of the student's graduate study.
- GRE scores of at least the following:
Quantitative score
= 720 (new scale: 156) for M.S.
or
= 750 (new scale: 159) for Ph.D.
- Verbal score = 400 (new scale: 146)
- Analytical Writing = 3 for M.S. or =3.5 for Ph.D
For an International student, an additional requirement beyond those stated above:
TOEFL = 560 for the paper and pencil test, 220 for the computer-based test and 83 for the internet based test. A minimum of 19 in each of the four categories.
- The minimum undergraduate GPA requirement
- Admission with Provisional status: An applicant unable to supply all required official documentation prior to the admission deadline, but whose available documentation otherwise appears to meet admission requirements may be granted provisional admission.
- Deferred status: A deferred decision may be granted when a file is incomplete.
- Denied Status: An applicant that does not meet categories 1, 2 or 3 above will be denied admission.
- Fellowships: Award of a fellowship will be based on the criteria required by the sponsor agency (including the graduate school) on a competitive basis.
Degree Requirements
Master's Degree
Master's degree requirements are described in the general catalog section titled Requirements for the Master's Degree/Degree Plans and Hours Required. The MSEE degree options available are thesis option, thesis substitute option and non-thesis option. The courses taken for all degrees must be distributed over three of the nine areas given in the Objective section. The MSEE program of work in electrical engineering may include up to nine graduate level semester hours of supporting courses outside the Electrical Engineering Department in math, science and engineering. The Graduate Advisor must approve supporting courses that are permitted on a degree plan. The courses approved outside electrical engineering may be used in lieu of one of the three distribution areas. The thesis option requires 24 semester hours plus six semester hours of thesis (EE 5698). The thesis substitute option requires 33 semester hours of which three semester hours must be in the thesis substitute project (EE 5392). The non-thesis option requires 36 semester hours. EE 5391 may not be used to satisfy course requirements in either the Thesis or Thesis-substitute degree plans. EE 5391 may be used one time as part of the non-Thesis degree plan. EE 5191 may not be used toward the MSEE or MENGR degrees. The M.Engr. emphasizes design engineering and management. This program requires 36 semester hours distributed in the same manner as the MSEE program, except that up to 12 semester hours outside the department may be included.
Doctoral Degree
The Ph.D. is a degree with emphasis on research. Requirements for the doctoral degree are described elsewhere in the general catalog section on Degree Offerings/Requirements. Permission to continue beyond the master's degree will be based on the grade point average and GRE scores as described above. Approval to continue in the doctoral program is given by satisfactory completion of the following procedure:
- Obtaining the approval of a dissertation adviser, and
- Passing the Diagnostic Examination. This exam will be over the three Technical Proficiency areas selected by the student.
Review courses for the Diagnostic Examination should be completed during the M.S. degree or during the first 30 graduate hours required for entrance into the Ph.D. program.
This procedure must be completed within the year of coursework toward the Ph.D. A student not having attempted the Diagnostic Examination by this time will be allowed one more opportunity to take the examination during the next full semester.
The program of work is expected to include a minimum of 15 semester hours of advanced graduate level coursework beyond the master's degree and sufficient dissertation semester hours as required to complete the dissertation. All graduate level courses are counted in the 15 hour minimum. Among the 15 hour minimum, a minimum of 6 semester hours of advanced graduate level coursework is required. In addition, 2 semesters of 1 semester hour seminar course (EE5190) are required. The seminar course is not counted in the 15 hour minimum. The supervising professor may require additional coursework beyond the 15 hour minimum if deemed necessary to accomplish the research required for the dissertation. These courses may include graduate level mathematics, science, or engineering relevant to the student's dissertation program, but only with approval of the Graduate Advisor.
For the direct PhD program, the program of work is expected to include a minimum of 30 semester hours of graduate level coursework beyond the bachelor's degree and sufficient dissertation semester hours as required to complete the dissertation. Among the 30 hour minimum, a minimum of 6 semester hours of advanced graduate level coursework is required. In addition, 2 semesters of 1 semester hour seminar course (EE5190) are required. The seminar course is not counted in the 30 hour minimum.
The status of a doctoral candidate is approved for students who have passed an oral Comprehensive Examination (a comprehensive dissertation proposal) and submitted a Final Program of Work. The Comprehensive Examination will be required by the time the student has completed the required coursework. If the student fails the examination, he/she would be given one more chance to pass it no later than during the following semester. Upon completion of the Comprehensive Examination, the candidate should enroll in the dissertation course (EE 6399, EE 6699, or EE 6999) continuously until defense of the dissertation. The last semester the student must be enrolled in EE 6999. This ordinarily requires approximately 30 semester hours of dissertation credit.
Continuation
The Electrical Engineering Graduate Program, in fulfillment of its responsibility to graduate highly qualified engineers, has established certain policies and procedures. In addition to the requirements of the Graduate School listed elsewhere, to continue in the program each electrical engineering graduate student must maintain at least a B (3.0) GPA in all electrical engineering coursework and at least a B (3.0) GPA in all coursework for M.S. students. A student working toward a Ph.D. must maintain a 3.5 GPA in all electrical engineering coursework and at least a 3.5 GPA in all coursework.
Ph.D. Supervisory Committee
A doctoral student's committee shall consist of at least five members of the Graduate Faculty, a majority of whom must be in Electrical Engineering.
Technical Areas, Courses, and Technical Proficiency Courses
MSEE students must take courses from three Technical Areas. Non-thesis students must take one technical proficiency course from each of three areas, and earn at least a 3.3 GPA in those three courses.
Technical Area |
Courses |
Technical Proficiency Courses |
1. Digital and Microprocessor/Controller Systems |
EE 5313 EE 5314 EE 5315 EE 6313 EE 6314 |
EE 5313 - Microprocessor Systems Approved Substitution: EE |
2. Solid State Devices, Circuits and Systems |
EE 5305 EE 5310 EE 5311 EE 5312 EE 5316 EE 5317 EE 5318 EE 5340 EE 5341 EE 5342 EE 5346 EE 5347 EE 5348 EE 6318 EE 6341 |
EE 5305 - Advanced Electronics EE 5310 - Digital VLSI Design EE 5340 - Semiconductor Device Theory EE 5341 - Fundamentals for Semiconductor Devices Approved Substitution: EE |
3. Systems and Controls |
EE 5301 EE 5303 EE 5304 EE 5307 EE 5320 EE 5321 EE 5322 EE 5323 EE 5324 EE 5325 EE 5326 EE 5328 |
EE 5307 - Linear Control Systems Theory EE 5320 - Control System Design EE 5328 - Instrumentation and Measurement Approved Substitution: EE |
4. Electromagnetic Fields and Applications |
EE 5306 EE 5331 EE 5332 EE 5333 EE 5334 EE 5335 EE 5337 EE 5338 |
EE 5306 - Electromagnetic Theory EE 5331 - Microwave Systems Engineering Approved Substitution: EE |
5. Digital Signal and Image Processing |
EE 5302 EE 5350 EE 5351 EE 5352 EE 5353 EE 5354 EE 5355 EE 5356 EE 5357 EE 5358 EE 6356 |
EE 5302 - Random Signals and Noise EE 5350 - Digital Signal Processing EE 5356 - Digital Image Processing Approved Substitution: EE |
6. Telecommunications and Information Systems |
EE 5360 EE 5361 EE 5362 EE 5363 EE 5364 EE 5365 EE 5366 EE 5367 EE 5368 EE 6362 EE 6363 EE 6364 EE 6365 EE 6367 EE 6368 |
EE 5360 - Data Communication Engineering EE 5362 - Digital Communications Approved Substitution: EE |
7. Power Systems |
EE 5308 EE 5371 EE 5372 EE 5373 EE 5374 EE 5375 EE 5376 EE 5377 EE 5378 EE 6372 |
EE 5308 - Power System Modeling and Analysis EE 5371 - Power System Transmission I Approved Substitution: EE |
8. Optical Devices and Systems |
EE 5380 EE 5382 EE 5383 EE 5384 EE 5385 EE 5386 EE 5387 EE 5388 |
EE 5380 - Principals of Photonics and Optical Engineering EE 5386 - Integrated Optics Approved Substitution: EE |
9. Nanotechnology and MEMS - Materials and Devices |
EE 5343 EE 5344 EE 5345 EE 5381 EE 6342 EE 6343 EE 6344 EE 6345 |
EE 5343 - Silicon IC Fab Technology EE 5344 - Introduction to MEMS EE 5381 - Foundations in Semiconductors Approved Substitution: EE |
10. Renewable Energy Systems and Vehicular Technology |
EE 5309 (Grid-Integration of Renewable Energy Systems) EE 5309 (Renewable Energy Systems) EE 5309 (Electric Motor Drive) EE 5309 (Hybrid Electric Drive) EE 6375 |
EE 6375 - Power Electronics Engineering |
Please Note:
The grade of R (research in progress) is a permanent grade; completing course requirements in a later semester cannot change it. To receive credit for an R-graded course, the student must continue to enroll in the course until a passing grade is received.
An incomplete grade (the grade of I) cannot be given in a course that is graded R, nor can the grade of R be given in a course that is graded I. To receive credit for a course in which the student earned an I, the student must complete the course requirements. Enrolling again in the course in which an I was earned cannot change a grade of I. At the discretion of the instructor, a final grade can be assigned through a change of grade form.
Three-hour thesis courses and three- and six-hour dissertation courses are graded R/F/W only (except social work thesis courses.) The grade of P (required for degree completion for students enrolled in thesis or dissertation programs) can be earned only in six- or nine-hour dissertation courses and nine-hour thesis courses. In the course listings below, R-graded courses are designated either “Graded P/F/R” or “Graded R.” Occasionally, the valid grades for a course change. Students should consult the appropriate graduate advisor or instructor for valid grade information for particular courses. (See also the sections titled “R” Grade, Credit for Research, Internship, Thesis or Dissertation Courses and Incomplete Grade in this catalog.)
Courses (EE)
EE5190 – ELECTRICAL ENGINEERING GRADUATE SEMINAR
1 Lecture Hour · 0 Lab Hours
Topics vary from semester to semester. May be repeated for credit. Graded F, P. Prerequisite: graduate standing or consent of the department.
EE5191 – ADVANCED STUDY IN ELECTRICAL ENGINEERING
1 Lecture Hour · 0 Lab Hours
Individual research projects in electrical engineering. Prior approval of the EE Graduate Advisor is required for enrollment. A written report is required. Graded F, I, P.
EE5301 – ADVANCED ENGINEERING ANALYSIS
3 Lecture Hours · 0 Lab Hours
Analytical and numerical techniques for solving various types of engineering problems. Topics include matrix reduction by Gaussian elimination, similarity transformation, singular value decomposition, Jordan normal form, etc. Analysis techniques include Fourier series and transforms, fast Fourier transform, discrete convolution, complex analysis, least squares, and others.
EE5302 – RANDOM SIGNALS AND NOISE
3 Lecture Hours · 0 Lab Hours
Probability, random variables, and stochastic processes in physical systems. Topics include probability space, discrete and continuous random variables, density and conditional density functions, functions of random variables, mean-square estimation, random signals, system response, optimum system design, and Markov processes.
EE5303 – ENGINEERING MANAGEMENT
3 Lecture Hours · 0 Lab Hours
The management of the engineering function in high-technology industry with principal emphasis on the historical development of industrial management principles, decision-making, and planning.
EE5304 – NETWORK SYNTHESIS
3 Lecture Hours · 0 Lab Hours
Introduction to network synthesis of circuits using lumped, linear, passive, and operational amplifiers. Topics include realizability theory, synthesis of driving point impedances and two port circuits, passive and active filters, and Hilbert Transforms.
EE5305 – ADVANCED ELECTRONICS
3 Lecture Hours · 0 Lab Hours
Advanced study of solid-state devices and integrated circuits. Analysis, design and simulation of analog integrated circuits including biasing, gain stages, active loads, power amplifiers, operational amplifiers and wideband amplifiers.
EE5306 – ELECTROMAGNETIC THEORY
3 Lecture Hours · 0 Lab Hours
Advanced study of electromagnetic theory, its content, methods, and applications. Topics include theorems in electromagnetic theory, cylindrical and spherical wave functions, waveguides, integral equation methods, scattering and diffraction.
EE5307 – LINEAR SYSTEMS ENGINEERING
3 Lecture Hours · 0 Lab Hours
Topics include state-space description of dynamic systems, analysis and design of linear systems, similarity transformation, state feedback, state observers, and matrix characterization of multivariable systems.
EE5308 – POWER SYSTEM MODELING AND ANALYSIS
3 Lecture Hours · 0 Lab Hours
Fundamental concepts for modeling transmission lines, distribution lines, power system generators, power transformers and power system load. The method of symmetrical components is discussed. Simulation of power systems during normal and abnormal conditions are presented. The philosophy of deregulation regarding separation of power systems into generation, transmission and distribution companies is introduced.
EE5309 – TOPICS IN ELECTRICAL ENGINEERING
3 Lecture Hours · 0 Lab Hours
Material may vary from semester to semester. Topics are selected from current areas of electrical engineering interest. May be repeated when topic changes.
EE5310 – DIGITAL VLSI DESIGN
3 Lecture Hours · 0 Lab Hours
Introduction of VLSI digital circuit design methodology and processing technology. Application of various design software packages for circuit analysis and layout. Design of basic CMOS digital logic circuits. Implementation of digital logic design at the transistor level.
EE5311 – VLSI SIGNAL PROCESSING ARCHITECTURES
3 Lecture Hours · 0 Lab Hours
Design and synthesis of DSP and telecommunication systems using integrated modeling, design, and verification tools. Exploration of high-level architectural transformations that can be used to design families of DSP architectures for a given signal processing algorithm. Prerequisite: EE 5350.
EE5312 – CMOS RFIC DESIGN
3 Lecture Hours · 0 Lab Hours
Transceiver design for wireless communications using advanced CMOS technology. Emphasis on full-custom chip design, RFIC design concepts. Transceiver architectures. Topics include low noise amplifier, mixer, oscillator, frequency synthesizer, and power amplifier. A project is required, including design, simulation and layout using an IC design tool. Prerequisite: EE 5305 or EE 5318.
EE5313 – MICROPROCESSOR SYSTEMS
3 Lecture Hours · 0 Lab Hours
Hardware/software development techniques for microprocessors and their programmable peripherals, with emphasis on multi-byte width memory design, throughput issues including DMA controller design, co-processor operation, interrupt-driven i/o, oscillators and timer peripherals, analog signal interfacing, and digital buses and interfaces. Topics include: code efficiency issues, hardware-software interactions, and design of memory systems, DMA controllers, and real-world interfacing.
EE5314 – EMBEDDED MICROCONTROLLER SYSTEMS
3 Lecture Hours · 2 Lab Hours
Hardware/software development techniques for microcontroller systems with emphasis on hardware-software interactions, programming internal peripherals, and real-time control and conditioning of external devices. Other topics include: code efficiency, pin reuse, interrupt-driven processing, USART operations, 12C and SPI bus peripherals, and use of internal peripherals.
EE5315 – DSP MICROPROCESSORS
3 Lecture Hours · 0 Lab Hours
Device architectures and various aspects of hardware/software design will be presented for dominant families of function-specific, application-specific and general-purpose digital signal processors (DSPs) from leading manufacturers. Special attention will be given to problems related to real-time acquisition and processing of analog data (audio, video, RF, etc.), including design principles for the state-of-the-art data conversion interfaces.
EE5316 – CMOS MIXED SIGNAL IC DESIGN
3 Lecture Hours · 0 Lab Hours
Design of CMOS mixed signal ICs with emphasis on full custom chip design. Comparators, switched-capacitor circuits, converter architectures, analog-to-digital converters, digital-to-analog converters, integrator-based filters. A project is required, including design, simulation and layout using an IC design tool. Prerequisite: EE 5305 or EE 5318.
EE5317 – ADVANCED DIGITAL VLSI DESIGN
3 Lecture Hours · 0 Lab Hours
Design of logical gates using CMOS technologies; static and dynamic circuit techniques; advanced techniques in logic circuits; general VLSI system components design; arithmetic circuits in VLSI; low power design; chip layout strategies. A design project using computer tools is required. Prerequisite: EE 5310.
EE5318 – ANALOG CMOS IC DESIGN
3 Lecture Hours · 0 Lab Hours
Analysis and design of complementary metalAoxideAsemiconductor (CMOS) analog integrated circuits; metalAoxideAsemiconductor (MOS) device structure and models; single-state and differential amplifiers; current mirror and operational amplifier (opamp) design; noise analysis and feedback; comparators and voltage references.
EE5319 – TOPICS IN DIGITAL SYSTEMS
3 Lecture Hours · 0 Lab Hours
Formal instruction in selected topics in digital systems and microcomputers. May be repeated when topic changes.
EE5320 – CONTROL SYSTEM DESIGN
3 Lecture Hours · 0 Lab Hours
Design, analysis, and computer simulation of digital and continuous control systems. Controller design using classical techniques and modern state-variable techniques, including linear quadratic regulator, polynomial, and observer design. Discrete systems and Z-transform theory. Use of high-level computer programs in system analysis and design will be emphasized. A prior introductory systems course, such as EE 5307, is desirable.
EE5321 – OPTIMAL CONTROL
3 Lecture Hours · 0 Lab Hours
Design of optimal control systems. Topics include optimization under constraints, linear quadratic regulators, Ricatti's equation, suboptimal control, dynamic programming, calculus of variations, and Pontryagin's minimum principle. A prior introductory systems course, such as EE 5307, is desirable.
EE5322 – INTELLIGENT CONTROL SYSTEMS
3 Lecture Hours · 0 Lab Hours
Principles of intelligent control including adaptive, learning, and self-organizing systems. Neural networks and fuzzy logic systems for feedback control. Mobile robots. Discrete event systems and decision-making supervisory control systems. Manufacturing work-cell control. Advanced sensor processing including Kalman filtering and sensor fusion. A prior introductory systems course, such as EE 5307, is desirable.
EE5323 – NONLINEAR SYSTEMS
3 Lecture Hours · 0 Lab Hours
Analysis and design of nonlinear systems. A general course in nonlinear systems with examples from multiple engineering and science disciplines. Topics include phase planes, Lyapunov's theory, describing functions, iterative maps, chaos and fractals, and nonlinear optimization methods.
EE5324 – DESIGN OF DIGITAL CONTROL SYSTEMS
3 Lecture Hours · 0 Lab Hours
Sampling and data reconstruction. Z-transforms and state variable descriptions of discrete-time systems. Linear quadratic optimal control and state estimation. Quantization and other nonlinearities. Real-time control systems. Digital feedback control systems. Constructing discrete-time mathematical model system. Analysis of system behavior using discrete-time model and evaluation of the system performance. Discrete controller design techniques such as root locus, frequency response, and state space techniques. Evaluation and testing of system performance using digital simulations. (Also listed as AE 5380 and ME 5380).
EE5325 – ROBOTICS
3 Lecture Hours · 0 Lab Hours
Principles of kinematics, dynamics, and control of robot manipulators and mobile robots. Analysis of dynamical equations and design of robot control systems using modern nonlinear systems techniques. Computer simulation of robotic and mobile robot systems. Path planning, workcell coordination and control. Also listed as ME 5337.
EE5326 – FUZZY LOGIC
3 Lecture Hours · 0 Lab Hours
Introduction to FLS (fuzzy logic system) systems theory, design, and applications. Topics include fuzzy logic and crisp logic, fuzzy rules and interference, fuzzification, defuzzification, non-singleton FLS, type 1 and type 2 FLS, TSK (The Sleuth Kit) FLS, applications to signal processing, telecommunications, control, and decision making.
EE5327 – SYSTEM IDENTIFICATION AND ESTIMATION
3 Lecture Hours · 0 Lab Hours
Introduction to parametric and non-parametric modeling and identification and estimation methods for linear and nonlinear systems. Methods covered include linear and non-linear least squares, LTI (linear time-invariant) black-box models, empirical transfer function estimate, state-space and frequency domain model reduction methods, Kalman filtering and self-tuning adaptive control. Introductory systems and signals courses, such as EE 5302 and EE 5307, are desirable.
EE5328 – INSTRUMENTATION AND MEASUREMENT
3 Lecture Hours · 0 Lab Hours
Measurement principles and design of sensor and measurement systems. Topics include computer-based measurement systems, sensor design, signal conditioning, data acquisition, smart sensors, and mechatronics. Techniques for measuring quantities encountered in robotics and automation, manufacturing, biomedical, and other applications. A previous course in analog or digital electronics is desirable.
EE5329 – TOPICS IN SYSTEMS ENGINEERING
3 Lecture Hours · 0 Lab Hours
Formal instruction in selected topics in systems engineering, such as advanced controls, systems performance, manufacturing, graphics subsystems design, stochastic control, decision and information theory, hierarchical or distributed parameter control. May be repeated when topic changes.
EE5331 – MICROWAVE SYSTEMS ENGINEERING
3 Lecture Hours · 0 Lab Hours
Topics include frequency planning, design and performance analysis of transmitter and receiver circuits for communications and radar. Emphasis is on design using commercially available mixers, amplifiers, oscillators, and modulation circuits. Analysis includes receiver noise figure, distortion and path loss effects.
EE5332 – ANTENNA SYSTEM ANALYSIS
3 Lecture Hours · 0 Lab Hours
Fundamental study of antennas and antenna design techniques. Topics include numerical analysis of wire antennas; aperture antennas; geometrical theory of diffraction; horns and reflector antennas; and antenna synthesis and measurements. Prerequisite: EE 5306.
EE5333 – WAVE PROPAGATION AND SCATTERING
3 Lecture Hours · 0 Lab Hours
Fundamentals of VHF, UHF, and microwave propagation in radar and communications. Propagation over irregular terrain. Propagation in built-up areas. Propagation modeling and prediction tools. Multipath phenomena. Signal statistics. Prerequisites: EE 5302 and EE 5306.
EE5334 – FUNDAMENTALS OF RADAR REMOTE SENSING
3 Lecture Hours · 0 Lab Hours
Active and passive remote sensing systems, platforms for remote sensing, radar equation, interaction of electromagnetic wave with matter, radar cross section, scattering from area extensive targets, surface scattering, volume scattering, radiative transfer theory, radar data collection and analysis, retrieval of target parameters.
EE5335 – FUNDAMENTALS OF RADAR IMAGING
3 Lecture Hours · 0 Lab Hours
Radar system, antenna system, radar equation, electromagnetic waves scattering from targets, radar signal and noise, detection and extraction of signal from noise or clutter, range and Doppler profiles, radar image formation, real aperture radar imaging, SAR imaging, ISAR imaging, image distortion, superresolution radar imaging techniques.
EE5337 – THEORY AND LABS OF MICROWAVE MEASUREMENTS
2 Lecture Hours · 1 Lab Hour
Circuit parameters and measurement techniques at microwave frequencies. The labs include standing wave pattern measurement using slotted lines and automated measurements using vector network analyzers.
EE5338 – COMPUTATIONAL METHODS IN ELECTRICAL ENGINEERING
3 Lecture Hours · 0 Lab Hours
A few mathematical and computational methods to analyze physical phenomena in electrical engineering, including Fourier transformation, finite difference method, finite element method, and integral equation method.
EE5339 – TOPICS IN ELECTROMAGNETICS
3 Lecture Hours · 0 Lab Hours
Formal instruction in selected topics in electromagnetics. May be repeated when topic changes.
EE5340 – SEMICONDUCTOR DEVICE THEORY
3 Lecture Hours · 0 Lab Hours
Quantum mechanics applicable to semiconductor theory. Energy band theory, density of states and effective mass theory. Intrinsic and extrinsic semiconductors, equilibrium statistics for electrons and holes. Transport, generation and recombination of excess carriers. Device equations and physics. Theory and performance of p-n and Schottky diodes, bipolar and MOS transistors.
EE5341 – ELECTRONIC MATERIALS: FUNDAMENTALS AND APPLICATIONS
3 Lecture Hours · 0 Lab Hours
Fundamental theory required for the study of electronic materials: waves and particles, quantum mechanics, crystal structures, chemical bonds, and band theory. Materials and properties considered will be metals, semiconductors, and dielectrics including effective mass, doping, and carrier statistics, and electronic, dielectric, magnetic, and optical properties of materials as applied to integrated circuits, wireless communication, optoelectronics, optical communication, and data storage.
EE5342 – SEMICONDUCTOR DEVICE MODELING AND CHARACTERIZATION
2 Lecture Hours · 3 Lab Hours
Device models and characterization procedures for the pn junction and Schottky diodes, the BJT, JFET, MOSFET, HBT, and optical sources and detectors. SPICE derived and higher level circuit simulator models will be presented. Prerequisite: EE 5340 or EE 5341.
EE5343 – SILICON INTEGRATED CIRCUIT FABRICATION TECHNOLOGY
2 Lecture Hours · 3 Lab Hours
Basic integrated circuit fabrication processes: crystal growth (thin film and bulk), thermal oxidation, dopant diffusion/implantation, thin film deposition/etching, and lithography. Introduction to process simulators, such as SUPREM. Fabrication and characterization of resistors, MOS capacitors, junction diodes and MOSFET devices. Prerequisite: Pass the NanoFAB Safety and Clean Room Protocol test.
EE5344 – INTRODUCTION TO MICROELECTROMECHANICAL SYSTEMS (MEMS) AND DEVICES
3 Lecture Hours · 0 Lab Hours
Develops the basics for microelectromechanical devices and systems including microsensors, and micromotors, principles of operation, different micromachining techniques, and thin-film technologies as they apply to MEMS.
EE5345 – INTRODUCTION TO BIO-NANOTECHNOLOGY
3 Lecture Hours · 0 Lab Hours
Introduction to the area of bio-nanotechnology. Basics of nanotechnology as applicable to biological and biomedical sensing, therapy and diagnostics. Theory, fabrication, techniques and uses of nano-scale devices and objects in biomedical and biology.
EE5346 – MICROWAVE DEVICES
3 Lecture Hours · 0 Lab Hours
Device physics and applications of microwave semiconductor devices and vacuum tubes. Topics include operation, modeling and characterization of MESFETs and HEMTs, microwave diodes, and microwave vacuum tubes. Prerequisite: EE 5340 and EE 5341.
EE5347 – MICROWAVE CIRCUITS
3 Lecture Hours · 0 Lab Hours
Theory of microwave circuit design; techniques include use of Kuroda identities, Richard's transformation, and ABCD parameters; topics include design of couplers, impedance transformers, filters, and resonators incorporating coupled transmission lines. Design of coaxial lines, strip lines, and microstrip is addressed. Prerequisite: EE 5348.
EE5348 – RADIO-FREQUENCY CIRCUIT DESIGN
3 Lecture Hours · 0 Lab Hours
Design of lumped- and distributed-element radio-frequency circuits operating at frequencies to 2 GHz, such as impedance-matching circuits, low noise and power amplifiers, and oscillators. S parameters will be used in determining gain, noise figure, and stability of an amplifier. Prerequisite: EE 5305.
EE5349 – TOPICS IN INTEGRATED CIRCUIT TECHNOLOGY
3 Lecture Hours · 0 Lab Hours
Formal instruction in selected topics in integrated circuit technology. May be repeated when topic changes.
EE5350 – DIGITAL SIGNAL PROCESSING
3 Lecture Hours · 0 Lab Hours
Time and frequency domain analyses of linear time invariant systems. Stability analyses of causal and non-causal systems using the Z-transform. FIR digital filter design. Design of frequency selective IIR digital filters using frequency transformations and the bilinear transform. Design of infinite and finite impulse response filters.
EE5351 – DIGITAL VIDEO CODING
3 Lecture Hours · 0 Lab Hours
Fundamentals, principles, concepts and techniques of data compression such as Huffman, Lempel-Ziv, Arithmetic, Facsimile, Transform, DPCM, VQ, and Hybrid coding and applications in ITU, ISO, and IEC standards related to audio, video, and image compression.
EE5352 – STATISTICAL SIGNAL PROCESSING
3 Lecture Hours · 0 Lab Hours
Estimation of autocorrelations, cross-correlations and power spectral densities. Least squares filter design via Toeplitz recursion and AR modeling. Adaptive noise cancellation. Algorithm development using maximum likelihood and minimum mean square error approaches. Lower bounds on estimation error variance. Prerequisites: EE 5350 and EE 5302 or consent of instructor.
EE5353 – NEURAL NETWORKS
3 Lecture Hours · 0 Lab Hours
Introduction to nonlinear networks for regression/approximation, classification, and clustering. Support vector machines. Training algorithms, methods for evaluating network performance. Applications in classification, estimation and forecasting. Prerequisite: EE 5350 or concurrent registration.
EE5354 – WAVELETS AND FILTER BANKS
3 Lecture Hours · 0 Lab Hours
Fundamentals of signal decomposition, discrete multirate systems and polyphase structures. Time-frequency analysis and multiresolution signal representation. Two-channel filter banks, dyadic wavelets, and scaling and wavelet functions. M-channel filter banks and their lattice structures. Applications in signal de-noising, compression and communications. Prerequisite: EE 5350.
EE5355 – DISCRETE TRANSFORMS AND THEIR APPLICATIONS
3 Lecture Hours · 0 Lab Hours
Principles and properties of discrete transforms such as discrete Fourier, discrete cosine, Walsh-Hadamard, slant, Haar, discrete sine, discrete Hartley, LOT and Wavelet transforms, and their applications in signal and image processing.
EE5356 – DIGITAL IMAGE PROCESSING
3 Lecture Hours · 0 Lab Hours
Digital image processing as applied to image sampling and quantization, image perception, image enhancement, image restoration, image reconstruction from projections, and filtering and image coding. Prerequisite: EE 5350.
EE5357 – STATISTICAL PATTERN RECOGNITION
3 Lecture Hours · 0 Lab Hours
Introduction to statistical pattern recognition. Deformation invariant and deformation variant feature extraction for class separability. Decision theory and statistical learning theory. Classifier design using Bayes, nearest neighbor, and regression-based approaches. Sensor fusion. Feature selection using transformation and subsetting. Prerequisites: EE 5350 and EE 5302 or consent of instructor.
EE5358 – COMPUTER VISION
3 Lecture Hours · 0 Lab Hours
Techniques for the interpretation, analysis, and classification of digital images. Methods for segmentation, feature extraction, object recognition, stereo vision and 3-D modeling. A research project will be assigned.
EE5359 – TOPICS IN SIGNAL PROCESSING
3 Lecture Hours · 0 Lab Hours
Formal instruction in selected topics in signal processing. May be repeated when topic changes.
EE5360 – DATA COMMUNICATIONS ENGINEERING
3 Lecture Hours · 0 Lab Hours
Principles underlying communication network design, including physical layer, MAC (media access control) layer modeling and engineering, and data link layer. Queuing theory. Internet structure, Internet protocol models and engineering. Physical layer description will include modulation, FEC (forward error correction), cyclic and Trellis coding. MAC layer modeling will include CSMA/CD (Carrier Sense Multiple Access / Collision Detection), ALOHAS, and other splitting algorithms.
EE5361 – FUNDAMENTALS OF TELECOMMUNICATION SYSTEMS
3 Lecture Hours · 0 Lab Hours
Analysis of analog and digital communication techniques including amplitude modulation, frequency modulation, and pulse code modulation. Time-domain and frequency domain multiplexing. Analog and digital noise analysis, information theory, design of communication systems.
EE5362 – DIGITAL COMMUNICATIONS
3 Lecture Hours · 0 Lab Hours
Fundamental principles underlying the transmission of digital data over noisy channels. Basics of source coding techniques including entropy coding, Lempel-Ziv. Channel capacity. Spectral analysis of digital modulation techniques. Optimum receiver design and error probability performance of commonly used modulation schemes. Applications to lightwave and wireless systems.
EE5363 – TELECOMMUNICATION SYSTEMS
3 Lecture Hours · 0 Lab Hours
Basics of telecommunications and telephone networks. Switching and transmission systems. Circuit and packet switching. Call processing. Common channel signaling systems. Queuing theory and applications. OSI-layered (Open Systems Interconnection) reference architecture. ISDN (Integrated Services Digital Network ).
EE5364 – INFORMATION THEORY AND CODING
3 Lecture Hours · 0 Lab Hours
Transmission of information over noisy channels, Shannon's coding theorems, techniques of coding and decoding for reliable transmission over noise channels, error-detecting, and error-correcting codes.
EE5365 – FIBER OPTIC TRANSMISSION SYSTEMS
3 Lecture Hours · 0 Lab Hours
Propagation in optical fibers, characteristics and manufacture of fibers, semiconductor lightwave sources and detectors, optical transmitters and receivers, lightwave transmission systems for wide area and local area networks.
EE5366 – COMMUNICATION SATELLITE SYSTEMS
3 Lecture Hours · 0 Lab Hours
Introduction of space communications, satellite orbits and their effect on communication system design. Atmospheric propagation effects. Communication link analysis, modulation, multiplexing, multiple access, encoding and forward error correction in satellite links. Design of communication satellites, earth station and their principal subsystems. Prerequisite: EE 5361.
EE5367 – WIRELESS SYSTEMS AND PROPAGATION MODELING
3 Lecture Hours · 0 Lab Hours
Fundamental principles and techniques of electromagnetic wave propagation as it applies to current wireless and cellular systems, development of models of propagation and their application in wireless system design, characteristics of microwave devices used in wireless systems, system and traffic design techniques used in wireless systems.
EE5368 – WIRELESS COMMUNICATION SYSTEMS
3 Lecture Hours · 0 Lab Hours
Fundamental principles of radio system design and propagation. Basics of cellular systems, environment, propagation models, traffic models and spectral capacity. Multiple-access techniques including FDMA (frequency division multiple access ), TDMA (time division multiple access), CDMA (code division multiple access). Analog and digital modulation techniques used in wireless communication and problems with RF (radio frequency) interference.
EE5369 – TOPICS IN COMMUNICATIONS
3 Lecture Hours · 0 Lab Hours
Formal instruction in selected topics in communications. May be repeated when topic changes.
EE5371 – POWER SYSTEM PLANNING, OPERATION, AND CONTROL IN A DEREGULATED ENVIRONMENT
3 Lecture Hours · 0 Lab Hours
Current market structure and practices are discussed. The issues of system planning, operation, and control in a deregulated environment are addressed. Prerequisite: EE 5308.
EE5372 – CONGESTION MANAGEMENT
3 Lecture Hours · 0 Lab Hours
Phenomena of congestion and transmission pricing are presented. Thermal related congestion, such as power flow, and stability related congestion, such as voltage stability, transient stability, and dynamic stability, are covered. The effects of reactive power are discussed. Reliability and security issues of power transmission systems are presented. Congestion management and congestion relief measures are discussed. Prerequisite: EE 5308.
EE5373 – UNBUNDLING SERVICES OF A DEREGULATED POWER SYSTEM
3 Lecture Hours · 0 Lab Hours
The fundamental operating functions of a deregulated power system are presented. Unbundling of these functions and cost allocations are discussed. Topics of ancillary services, power marketing, price forecasting, and load forecasting are covered. Prerequisite: EE 5308.
EE5374 – POWER SYSTEM PROTECTIVE RELAYING
2 Lecture Hours · 3 Lab Hours
Fundamental understanding of symmetrical components, applications of symmetrical components in system protection, philosophy of power system protection, various protective relay systems, and the special considerations in applying the microprocessor based relays are covered. Experiments utilizing the Power System Simulation Laboratory are required.
EE5375 – POWER SYSTEM DISTRIBUTION
3 Lecture Hours · 0 Lab Hours
The basic functions of a Distribution Company are presented. Load representation, distribution load flow and the philosophy of simulation for a distribution system are discussed in detail.
EE5376 – POWER SYSTEM RELIABILITY IN PLANNING AND OPERATION
3 Lecture Hours · 0 Lab Hours
Loss of Load indices, Loss of Energy indices, Frequency and Duration methods, Interconnected Reliability methods, and Composite Generation and Transmission Reliability methods will be covered.
EE5377 – PROGRAMMABLE LOGIC CONTROLLERS IN INDUSTRIAL AUTOMATION
2 Lecture Hours · 3 Lab Hours
The application of Programmable Logic Controllers (PLC) in industrial automation and energy systems monitoring will be covered. Transducers, Supervisory Control and Data Acquisition (SCADA) systems, and Distributed Control Systems (DCS) will be discussed. Material covered is also applicable to various mechanical and civil engineering fields, thus enrollment of graduate engineering students from other disciplines is welcome. Experiments utilizing the Power System Simulation Laboratory are required.
EE5378 – POWER QUALITY
2 Lecture Hours · 3 Lab Hours
Principles of harmonics and filtering, source of voltage surges and surge protection, causes of voltage sags, flickers, and interruptions, and voltage supporting devices, and utility and end-user strategies for improving power quality are covered.
EE5379 – TOPICS IN POWER SYSTEM ENGINEERING
3 Lecture Hours · 0 Lab Hours
Formal instruction in selected topics in power system engineering. May be repeated when topic changes.
EE5380 – PRINCIPLES OF PHOTONICS AND OPTICAL ENGINEERING
3 Lecture Hours · 0 Lab Hours
Optical fields with applications to laser, optical fibers, and photonic signal processing. Encoding, manipulating, transmitting, storing, and retrieving information using light. Light propagation including isotropic and birefringent optical media, dielectric interfaces, interference and diffraction, Gaussian beams, optical cavities and principles of laser action, optical waveguides and fibers, electro- and acousto- optic modulation, and holography. Design, analysis and application of optical devices in communications and signal processing.
EE5381 – FOUNDATIONS IN SEMICONDUCTORS
3 Lecture Hours · 0 Lab Hours
Electronic properties of semiconductors affecting semiconductor devices: quantum behavior; Kronig-Penny model; energy bands; carrier statistics; density of states; one, two, and three dimensional systems; carrier transport; thermoelectric effects; surface and bulk generation-recombination statistics; continuity equations and their solutions; optical properties; semiconductor characterization techniques.
EE5382 – OPTICAL DETECTORS AND RADIATION
3 Lecture Hours · 0 Lab Hours
Basic principles of optical detectors used in imaging and communications. The course focuses on infrared detectors. Geometric optics, blackbody radiation, radiometry, photon detection mechanisms, thermal detection mechanisms, noise in optical detectors, figures of merit for detectors, photovoltaic detectors, photoconductive detectors, bolometers, pyroelectric detectors, and quantum well detectors.
EE5383 – SOLAR ELECTRICITY & PHOTOVOLTAICS
3 Lecture Hours · 0 Lab Hours
Solar radiation and other forms of renewable energy: wind, tide, biomass and hydropower. Fundamental theory of photovoltaics: crystal structures, band theory, semiconductors, doping, carrier statistics, optical absorption, and p-n junctions. Status of solar cell, including cost, optical design, system engineering, silicon solar cells and thin film solar cells. Prospects of solar cells, regarding low-cost and high-efficiency solar cells. Prerequisite: EE 5340 or EE 5341.
EE5384 – OPTOELECTRONIC DEVICES FOR COMMUNICATION
3 Lecture Hours · 0 Lab Hours
Electronic and optical processes in semiconductors. Light emitting diodes. Laser diodes: structures, properties and operating principles. Photodetectors and solar cells. Noise and the photoreceiver. Optoelectronic modulators and switching devices. Systems needs and new device challenges.
EE5385 – NONLINEAR OPTICS
3 Lecture Hours · 0 Lab Hours
Nonlinear optical processes and applications in crystals, optical fibers and waveguides. Second- and third- order nonlinear susceptibility, symmetry properties, coupled-wave propagation,phase-matching techniques, sum- and difference-frequency generation, parametric amplification, four-wave mixing, self- and cross-phase modulation, soliton propagation, and Raman scattering.
EE5386 – INTEGRATED OPTICS
3 Lecture Hours · 0 Lab Hours
Theory and techniques of integrated optics including optical waveguiding, coupling, modulation, grating diffraction, detection and integrated systems.
EE5387 – FOURIER OPTICS AND HOLOGRAPHY
3 Lecture Hours · 0 Lab Hours
Theory of Fourier optics and holography including scalar diffraction theory, Fresnel and Fraunhofer diffraction, Fourier transforming properties of lenses, optical imaging systems, spatial filtering, and the theory and applications of holography. Prerequisite: EE 5306.
EE5388 – LASERS
3 Lecture Hours · 0 Lab Hours
Propagation of optical rays and waves, Gaussian laser beams, laser resonators, atomic systems, lasing and population inversion, laser amplifiers, practical gas and solid-state lasers including continuous-wave and pulsed lasers, mode locking, Q-switching, frequency doubling, tunable lasers, semiconductor lasers, vertical-cavity lasers and applications of lasers.
EE5389 – TOPICS IN OPTICS
3 Lecture Hours · 0 Lab Hours
Formal instruction in selected topics in optics. May be repeated when topic changes.
EE5391 – ADVANCED STUDY IN ELECTRICAL ENGINEERING
3 Lecture Hours · 0 Lab Hours
Individual research projects in electrical engineering. Prior approval of the EE Graduate Advisor is required for enrollment. A written report is required. Graded F,P,R.
EE5392 – PROJECT IN ELECTRICAL ENGINEERING
3 Lecture Hours · 0 Lab Hours
Individual research projects performed for fulfilling the requirements of the thesis substitute option. Prior approval of the EE graduate advisor is required for enrollment. A written and oral report is required. Graded F, P, R.
EE5398 – THESIS
3 Lecture Hours · 0 Lab Hours
Graded F, R. Prerequisite: Graduate standing in electrical engineering.
EE5698 – THESIS
6 Lecture Hours · 0 Lab Hours
Graded F, P, R. Prerequisite: Graduate standing in electrical engineering.
EE6313 – ADVANCED MICROPROCESSOR SYSTEMS
3 Lecture Hours · 0 Lab Hours
Study of the advanced microprocessor architectures including 32/64-bit RISC and CISC families of microprocessors will be compared based on detailed architectural analysis of the selected devices. Topics include: address/instruction pipelines, burst cycles, memory caching and cache coherency issues, register renaming, speculative instruction execution and other performance-oriented techniques. Prerequisite: EE 5313.
EE6314 – ADVANCED EMBEDDED MICROCONTROLLER SYSTEMS
3 Lecture Hours · 2 Lab Hours
Study of advanced microcontroller system designs with an emphasis on multi-tasking, real-time control of devices. Topics include: design of real-time control systems, programmable logic controller (PLC) hardware, USB peripherals and network appliances. Prerequisite: EE 5314.
EE6318 – ADVANCED ANALOG VLSI SYSTEMS
3 Lecture Hours · 0 Lab Hours
Data converter design: Nyquist rate D/A and A/D converters and oversampling converters; continuous time filters; phase lock loops; low power analog circuit design techniques.
EE6323 – NONLINEAR AND ADAPTIVE CONTROL
3 Lecture Hours · 0 Lab Hours
Advanced design of nonlinear and adaptive systems. Topics include phase planes, Lyapunov's theory, describing function, feedback linearization, parameter estimation, self-tuning, and model reference adaptive systems. Also offered as AE 5337, ME 5374. Credit will be granted only once. Prerequisite: EE 5323.
EE6327 – KALMAN FILTERING
3 Lecture Hours · 0 Lab Hours
Kalman filter design and implementation. Optimal filtering for discrete-time and continuous-time dynamical systems with noise. Wiener filtering. State-space determination. Also offered as AE/ME 5336. Credit will be granted only once. Prior introductory systems or identification course, such as EE 5307 or EE 5327, is desirable. Credit will be granted only once.
EE6340 – INTRO TELE NETW
3 Lecture Hours · 0 Lab Hours
EE6341 – FEEDBACK AMPL
3 Lecture Hours · 0 Lab Hours
EE6342 – ADVANCED QUANTUM DEVICES
3 Lecture Hours · 0 Lab Hours
Advanced concepts in quantum theory of semiconductors. Epitaxial growth and characterization of heterostructures, quantum wells, and superlattices including strained layers; electronic and optical properties of these structures; electronic and optoelectronic devices based on quantum wells and superlattices. Prerequisite: Graduate standing.
EE6343 – QUANTUM WELL LASERS
3 Lecture Hours · 0 Lab Hours
Introduction to semiconductor heterostructures and quantum wells. Quantum theory of optical processes and laser operation. Threshold, spectral, and dynamical behavior. Modern laser structures and technologies, including strained-layer and surface emitting lasers. Prerequisite: EE 5340 and EE 5341.
EE6344 – NANOSYSTEMS AND QUANTUM ELECTRONIC DEVICES
3 Lecture Hours · 0 Lab Hours
Design, analysis, and techniques for conceptualizing and fabricating nanoscale systems. Role of quantum confinement and mesoscopic behavior, phase coherence, quantum transport, single electron devices, semiconductor heterostructures, self-assembly and molecular electronic schemes, lithographic methods, atomic epitaxy, and surface analysis techniques. Prerequisite: EE 5340 and EE 5341.
EE6345 – ADVANCED MEMS -- MICROELECTROMECHANICAL SYSTEMS
3 Lecture Hours · 0 Lab Hours
Microelectromechanical systems (MEMS) and devices including micro-actuators and optical MEMS. Application strategy of MEMS; fabrication and design; actuation mechanism and architectures; optical sensor and communication applications. Mask layout and hands-on design, fabrication procedures, design rules, demonstrated examples, and integration architectures. Prerequisite: EE 5344.
EE6352 – DIGITAL COM SYS
3 Lecture Hours · 0 Lab Hours
EE6356 – IMAGE AND VIDEO CODING
3 Lecture Hours · 0 Lab Hours
Fundamentals, principles, concepts, and techniques of data (image/video/audio) compression such as Huffman coding, arithmetic coding, Lempel-Ziv coding, facsimile coding, scalar and vector quantization, DPCM, PCM, sub-band coding, transform coding, hybrid coding and their applications. Prerequisite: EE 5350.
EE6360 – DIGI SIGNAL PRO
3 Lecture Hours · 0 Lab Hours
EE6362 – ADVANCED DIGITAL COMMUNICATIONS
3 Lecture Hours · 0 Lab Hours
Digital communication systems design with intersymbol interference. Partial response signaling. Adaptive equalization. Viterbi decoding. Digital signaling on fading multi-path channels and wireless channels. Applications of error detecting and correction coding. Spread spectrum systems. Prerequisite: EE 5362.
EE6363 – SPREAD SPECTRUM COMMUNICATION
3 Lecture Hours · 0 Lab Hours
Direct-sequence spread spectrum systems utilizing pseudonoise (PN) generators. PN sequences and their properties. Maximal length codes, Gold codes. Code acquisition techniques. Phase-locked loops and their applications in carrier tracking and code tracking. Performance of spread spectrum systems in jamming environments. Prerequisite: EE 5362.
EE6364 – ADVANCED DATA NETWORKS
3 Lecture Hours · 0 Lab Hours
Network performance analysis, link and upper layer. Internet and ATM protocols, Internet routing and traffic management, ATM switch design and ATM traffic management. Prerequisite: EE 5360.
EE6365 – ADVANCED FIBER OPTICS SYSTEMS
3 Lecture Hours · 0 Lab Hours
Laser modulation, design of high speed optical transmitters and receivers. Coherent detection systems, fiber and semiconductor optical amplifiers. Photonic switching, future technologies. Prerequisite: EE 5365.
EE6367 – ADVANCED WIRELESS COMMUNICATIONS
3 Lecture Hours · 0 Lab Hours
Performance analysis of cellular systems with multipath propagation, diversity, equalization, smart antennas. Interference compensation and signal separation in multiuser systems. Micro- and pico-cell design. Allocation of channels, hard and soft handoffs. Data transmission on mobile networks. Review of selected current and proposed systems. Prerequisite: EE 5368.
EE6368 – SIMULATION OF COMMUNICATION SYSTEMS
3 Lecture Hours · 0 Lab Hours
Simulation methods of analysis of communications systems using C programming language and other languages. Analysis involving atmospheric point-to-point radio and cellular channels and fiber optic systems and their elements. Prerequisite: EE 5362, EE 5368, EE 5365, C, and UNIX. Prerequisite: EE 5362, EE 5368, EE 5365, C, and UNIX.
EE6371 – ELECTRIC AND HYBRID ELECTRIC VEHICLES
3 Lecture Hours · 0 Lab Hours
Dynamic modeling of vehicles, internal combustion engines, transmission, brake, electric motor drives, battery management and energy storage, vehicle to power grid interface, fuel economy, intelligent energy management system, fuel cell cars, vehicular communication.
EE6372 – HIGH VOLTAGE ENGINEERING
3 Lecture Hours · 0 Lab Hours
Introduction to design, measurement and testing methods for high voltage systems. A study of electrical insulation materials and their properties, partial discharges and voltage breakdowns, electric field plotting methods, generation of high voltage test pulses, and high voltage measurement techniques.
EE6373 – RENEWABLE ENERGY SYSTEMS
3 Lecture Hours · 0 Lab Hours
Wind energy harvest, solar energy sources and harvesting, hydropower resources, geothermal, fuel cell and hydrogen economy, power grid interface and distributed generation, microscopic energy harvest from vibration and thermal, role of power electronics in integration of renewable energy systems. Familiarity with the principles of power electronics and electric power recommended.
EE6374 – ADVANCED ELECTRIC MOTOR DRIVES
3 Lecture Hours · 0 Lab Hours
Fundamentals of electromechanical energy converters, dc-brushed and permanent magnet dc motor drives, two axis theory of ac-electric machines, field oriented control of induction motor/generator drives, field oriented control of the brushless dc machines, switched reluctance motor drives, vector space pulse width modulated (PWM) power converters, electromagnetic interference / electromagnetic compatibility (EMI/EMC) issues and solutions in adjustable speed motor drives. Familiarity with the principles of power electronics and electric power recommended.
EE6375 – POWER ELECTRONICS ENGINEERING
3 Lecture Hours · 0 Lab Hours
Switched mode DC-DC converters, controlled rectifiers, commutated and resonant inverters. Also, performance evaluation of specific applications by means of state space analysis will be discussed. Prerequisite: Must have consent of instructor.
EE6376 – SUSTAINABLE ENERGY SYSTEMS
3 Lecture Hours · 0 Lab Hours
Laws of thermodynamic, electromechanical energy conversion, economic sustainability, environmental sustainability, Kyoto protocol, fossil fuels, renewable energy sources, nuclear energy.
EE6381 – NANOPHOTONICS
3 Lecture Hours · 0 Lab Hours
Introduction to nanophotonic materials, devices, systems integration, and applications. Principles of nanoscale structures, quantum dots, photonic crystals, near field optics, plasmonics and metamaterials. Design, modeling, synthesis and fabrication of nano-structures and devices. Scaling of photonic components and optoelectronic integration.
EE6397 – RESEARCH IN ELECTRICAL ENGINEERING
3 Lecture Hours · 0 Lab Hours
Individually approved research projects leading to a doctoral dissertation in the area of electrical engineering. Graded F, P, R.
EE6399 – DISSERTATION
3 Lecture Hours · 0 Lab Hours
Graded F, R.
EE6697 – RESEARCH IN ELECTRICAL ENGINEERING
6 Lecture Hours · 0 Lab Hours
Individually approved research projects leading to a doctoral dissertation in the area of electrical engineering. Graded F, P, R.
EE6699 – DISSERTATION
6 Lecture Hours · 0 Lab Hours
Graded F, R, P, W.
EE6997 – RESEARCH IN ELECTRICAL ENGINEERING
9 Lecture Hours · 0 Lab Hours
Individually approved research projects leading to a doctoral dissertation in the area of electrical engineering. Graded F, P, R.
EE6999 – DISSERTATION
9 Lecture Hours · 0 Lab Hours
Graded F, P, R.
EE7399 – DOCTORAL DEGREE COMPLETION
3 Lecture Hours · 0 Lab Hours
This course may be taken during the semester in which a student expects to complete all requirements for the doctoral degree and graduate. Enrolling in this course meets minimum enrollment requirements for graduation, for holding fellowships awarded by The Office of Graduate Studies and for full-time GTA or GRA positions. Students should verify that enrollment in this course meets other applicable enrollment requirements. To remain eligible in their final semester of study for grants, loans or other forms of financial aid administered by the Financial Aid Office must enroll in a minimum of 5 hours as required by the Office of Financial Aid. Other funding sources may also require more than 3-hours of enrollment. Additional hours may also be required to meet to requirements set by immigration law or by the policies of the student's degree program. Students should contact the Financial Aid Office, other sources of funding, Office of International Education and/or their graduate advisor to verify enrollment requirements before registering for this course. This course may only be taken once and may not be repeated. Students who do not complete all graduation requirements while enrolled in this course must enroll in a minimum of 6 dissertation hours (6699 or 6999) in their graduation term. Graded P/F/R.