Graduate Catalog

2012-2013

ELECTRICAL and COMPUTER ENGINEERING

Department website: http://www.ece.nmsu.edu/

Klipsch School of Electrical and Computer Engineering

(575) 646-3115

eceoffice@nmsu.edu

V. G.Oklobdzija, department head, Ph.D. (California-Los Angeles) – low-power VLSI design; D. K. Borah, Ph.D. (Australian National) – digital communication systems; L. E. Boucheron, Ph.D. (California- Santa Barbara) – digital image and signal processing; S. M. Brahma, Ph.D. (Clemson) – energy systems; S. Cho, Ph.D. (Georgia Tech) – electro-optics; J. Cook, Ph.D. (New Mexico State) – computer architecture; C. D. Creusere, Ph.D. (California-Santa Barbara) – digital image and signal processing; M. Dawood, Ph.D. (Nebraska-Lincoln) – electromagnetics; P. L. DeLeon, Ph.D. (Colorado) – digital signal processing; P.M. Furth, Ph.D. (Johns Hopkins) – analog/mixed signal VLSI; H. Huang, Ph.D. (Georgia Tech) – communication networks; J. Kliewer, Ph.D. (Kiel) – communications and signal processing; W. Liu, Ph.D. (Missouri Science & Tech) – control of energy systems; K. T. Ng, Ph.D. (Ohio State) – bio-electromagnetics; R. A. Paz, Ph.D. (Illinois) – robust control theory; N. R. Prasad, Ph.D. (New Mexico State) – intelligent control systems; J. Ramirez-Angulo, D.Sc. (Stuttgart-Germany) – analog/mixed-signal VLSI; S. Ranade, Ph.D. (Florida) – energy systems; S. Stochaj, Ph.D. (Maryland) – real-time computer systems; D. Voelz, Ph.D. (Illinois) – electro-optics

DEGREE: Master of Science in Electrical Engineering

DEGREE: Doctor of Philosophy
MAJOR: Engineering
CONCENTRATION: Electrical Engineering

MINOR: Electrical Engineering

The Klipsch School of Electrical and Computer Engineering offers graduate work leading to the Master of Science and Doctor of Philosophy degrees. Areas of emphasis for masters and doctoral students are communications, computer engineering, control systems, digital signal processing, electromagnetics, electric energy systems, electro-optics, and microelectronics/VLSI. Research in the above areas currently being conducted by the faculty ensures that doctoral candidates will work on the frontier of knowledge in these areas. The graduate programs are intended to provide broad graduate-level training in electrical engineering. In addition, appropriate courses in computer science, industrial engineering, mathematics, physics, and business management may be integrated into a graduate student's program of study.

Students desiring to work toward an advanced degree in electrical engineering must have completed undergraduate preparation substantially equivalent to that required for the Bachelor of Science in Electrical Engineering degree at this institution. For students with undergraduate degrees in other disciplines, see below. For further information on the Klipsch School of Electrical and Computer Engineering, please consult the web page http://www.ece.nmsu.edu/.

Research Facilities and Highlights

There are extensive computer and research facilities available in the Klipsch School of Electrical and Computer Engineering. The school has numerous PC workstations contained within three different open computing labs and several research laboratories. Teaching workstations operate under Windows 7, but have access to Ubuntu (Linux) through VirtualBox. Researchers requiring larger computational resources have access to the departmental 16 processor HP Integrity rx8620 supercomputer (each of the 16 processors consists of a 4 core IA-64 processor), and a 128-processor "Beowulf" distributed memory parallel computer. An SGI Altix I8200CE cluster with a total of 22 compute nodes (2 Quadcore 4.0GHz Xeon processors with 16GB RAM per node), and a total of 15TB of storage is also available for engineering research. The internal network consists of a one Gbit/sec fiber optic backbone with 100 Mbit/sec Ethernet connections to all desktop machines. The Electrical Engineering building is linked to a large number of remote computers on campus via NMSUnet and to computers at other universities and research laboratories via the VBNS and the Internet.

The Center for Telemetry and Telemetering hosts the Manuel Lujan, Jr. Space Tele-Engineering Program and the Frank Carden Chair for Telemetry and Telemetering. Faculty and staff in the Center are involved in education and research programs focusing on telecommunications, communication theory, coding and information theory, wireless networks, digital signal processing, optical and radio frequency communications, and digital image processing. The Center has several major research sponsors including NASA, the Department of Defense, and the National Science Foundation. The director of the Center and the Frank Carden Chair is Professor Dr. Charles Creusere.

The Advanced Speech and Audio Processing Laboratory is used for both teaching and research in digital signal processing (DSP). Current research areas include speaker recognition, signal enhancement, low-bit rate coding, embedded DSP, and GPU-based pattern recognition for speech processing. The laboratory is equipped with two state-of-the-art compute servers equipped with Intel Core i7-960 3.2 GHz and NVIDIA C2050 GPU processor. Research sponsors for the laboratory include Air Force Research Laboratories, Army Research Laboratory, National Geospatial Intelligence Agency, Freescale Semiconductor, IBM, Motorola, National Science Foundation, and Texas Instruments. The director of the laboratory is Dr. Phillip L. De Leon.

The New Mexico State University R.L. Golden Particle Astrophysics Lab (PAL) is dedicated to measuring and interpreting cosmic ray spectra in an effort to better understand the structure of our universe. Recent measurements of the galactic positron and electron spectra have connections to the dark matter mystery and to the identification of sources of cosmic rays. Additional studies of solar particles (measured along with cosmic rays) will help in the understanding of how solar eruptions affect the earth. The director of PAL is Dr. Steven Stochaj.

The Electromagnetics (EM) and Microwave Laboratory is used for both teaching and research in electromagnetic fields. Current research areas include propagation through dispersive media (soil, seawater, foliage, biological tissues), UWB radar and remote sensing system analysis and design, antenna analysis, synthesis, and design, bio-electromagnetics, brain mapping, computational physics, electromagnetic interference and compatibility, high performance computing, and nondestructive evaluation. Research sponsors for the laboratory include American Heart Association, Department of Defense, Los Alamos National Laboratory, NASA, NSF, National Institutes of Health, Sandia National Laboratories, and White Sands Missile Range. The Director of the Electromagnetics and Microwave Laboratory is Dr. Kwong T. Ng.

New Mexico State University's program in Electric Utility Management (EUMP) is sponsored by a group of public and private electric utility companies and industrial organizations and hosts the PNM Chair for Utility Management and The Kersting Professorship. The Master of Science in Electrical Engineering degree program includes course work in public utilities regulation and is designed to prepare the student for a future engineering management position in the electric utility industry. An industry advisory committee provides the vital connecting link between the electric utility industry and the university, so that a coordinated effort may be achieved in realizing the following program objectives: (1) to provide a program of study at the graduate level in the planning, operation, and management of electric power generation, transmission, distribution, and utilization; (2) to supply the electric utility industry with the highest caliber of new engineering and management talent; and (3) to provide the university with the required financial and technical support to ensure a quality program. In addition, faculty in EUMP work with M.S. an Ph.D. students to conduct funded research sponsored by Sandia National Laboratories, EPRI, NSF, DOE, CEC and the electrical utility industry. Much of the current research is focused on renewable energy integration, protection, advanced control and optimization, and customer driven microgrids. Laboratory facilities are available in the El Paso Electric Power Systems laboratory. The program works closely with the Institute for Energy and Environment (IEE) and with Southwest Technology Development Institute (SWTDI) which host the solar energy experiment station. The director of the EUMP and PNM Chair for Utility Management is Dr. Satish Ranade.

Faculty and students in the VLSI Laboratory are involved in the design and analysis of analog and mixed-signal microelectronic circuits and systems. Current research areas include high-frequency analog VLSI design; low-voltage, low-power circuits; high performance operational amplifiers and operational transconductance amplifiers; power management circuits; analog image processing; and CMOS image sensors. Research sponsors include the Los Alamos National Laboratories and Agilent technologies. The director of the VLSI Laboratory is IEEE Fellow Dr. Jaime Ramirez-Angulo.

The Electro-Optics program at NMSU offers unique opportunities to undergraduate and graduate students interested in pursuing a career in electro-optics, applied optics, photonics, or optical engineering by combining the optics resources of the Klipsch School and the Physics Department. Most of the optics classes are cross-listed in the two departments. The Klipsch School's Electro-Optics Research Laboratory (EORL) provides a variety of research opportunities in areas such as multispectral and polarimetric imaging, free-space optical communications, adaptive optics, nanophotonics and integrated electro-optic sensors and systems. Sponsors include the Air Force Office of Scientific Research, Sandia National Laboratories, Air Force Research Laboratory, Army Research Laboratory, NASA, National Geospatial-Intelligence Agency and the National Science Foundation. SPIE Fellow Dr. David G. Voelz is the director of the EORL and NMSU's Electro-Optics program.

The Computer Networking Lab (CNL) supports teaching and research in Internet and wireless sensor networks. The mission of CNL is to provide students with the opportunity to do cutting-edge research that has high practical relevance. Currently, research projects in CNL include secure data dissemination in wireless sensor networks, solar-powered sensor networks, and RFID sensor networks. The major research sponsors of CNL include US Army, DHS, Intel, Los Alamos National Lab, and Sandia National Lab. CNL is directed by Dr. Hong Huang.

Students and faculty associated with the Advanced Computer Architecture Performance and Simulation (ACAPS) Laboratory conduct research in the areas of performance modeling and simulation techniques, micro-architecture power optimization, performance analysis and optimization of large-scale scientific applications, and heterogeneous HPC computing for field-deployable systems. Equipment in the lab includes numerous state-of-the-art workstations, several contemporary servers, nVidia Tesla GPUs, Xilinx FPGAs, and more than 8TB of storage. ACAPS sponsors include the National Science Foundation, the Army High Performance Computing Research Center (AHPCRC), Sandia National Laboratories, Hewlett-Packard, and IBM. The laboratory's director is Dr. Jeanine Cook.

The Advanced Computer Engineering Laboratory (ACSEL, www.acsel-lab.com) is engaged in solving problems related to high-performance and low-power computing systems with focus on VLSI chip engineering. ACSEL members are experts in high-speed digital circuits as well as low-power and ultra-low power design, specializing in energy efficient design, low-power digital circuit libraries and optimal relationship between computational energy and speed. ACSEL broader expertise is in Computer Arithmetic, Media Signal Processing, Hardware Security, Computer Architecture and Super-Computing. ACSEL sponsors are major computer and semiconductor companies such as: IBM, Intel, AMD, Fujitsu etc, as well as Semiconductor Research Council (SRC) and NSF. The director of ACSEL is IEEE Fellow, Dr. Vojin G. Oklobdzija.

The Rio Grande Institute for Soft Computing (RioSoft) is committed to serving private-sector and U.S. government needs in researching and developing intelligent decision-support systems and tools that aid in many aspects of strategic decision-making. Soft computing which includes fuzzy logic, neural networks, and evolutionary computation are used for modeling, analysis, and control of complex dynamical processes in various software-hardware integrated architectures. In addition RioRoboLab, a NASA Ames funded laboratory, provides facilities for research and development of intelligent autonomous and semi-autonomous systems focusing on advanced concepts of energy harvesting and energy scavenging from ambient energy sources. Research sponsors include the Defense Threat Reduction Agency, Defense Advanced Research Projects Agency, Los Alamos National Laboratory, and NASA. The director of RioSoft and RioRoboLab is Dr. Nadipuram (Ram) Prasad.

The Kazda Control Systems Laboratory is dedicated to the support of education and research in the area of Control Systems. Research involves collaborative efforts with the Mechatronics Lab in the Department of Mechanical and Aerospace Engineering, covering a wide area of robotics applications. The current thrust is a joint effort of M E, E E, and I E in the Reduced-Gravity/Biomechanics (RGB) Lab. This lab is sponsored by the National Science Foundation under the Major Research Instrumentation (MRI) grant. The purpose of the lab is to develop a reduced gravity simulator that can be used for research in Mechanical Engineering, Electrical Engineering, Human Biodynamic modeling, Ergonomics, Medical Rehabilitation, Dance, and Space Applications. The director of Kazda Control Systems Laboratory is Dr. Robert Paz.

Support for Graduate Students

A number of teaching assistantships, research assistantships, and fellowships are available. Teaching assistants are recommended by individual faculty for selection by the ECE Department's Graduate Studies Committee. International students must pass university screening prior to being eligible for selection as a TA. Nominations for new TAs are made by the advisor after a student is admitted. Research assistants are hired directly by the faculty member who has received a contract or grant for research.

The College of Engineering awards graduate scholarships and fellowships on behalf of Electrical and Computer Engineering. These include: the MIT/Lincoln Laboratory Fellowship, the Paul and Valerie Klipsch Grad Scholarship, the Admiral Paul Arthur Grad Scholarship, and the Barry Neil Rappaport Grad Scholarship. Applications can be completed on-line at http://engr.nmsu.edu/scholarships.shtml on or before March 1. The Electrical Utility Management Program has a limited number of fellowships for students interested in pursuing master's degrees in electrical energy systems.

Admission

Prospective graduate students for the Master of Science or Doctor of Philosophy in Electrical Engineering must first meet the entrance requirements of the Graduate School. The prospective US graduate student should make formal application to the Graduate Student Services office (http://gradschool.nmsu.edu/admit-form.html). International graduate students must start with the Admissions Office (http://international.nmsu.edu/admissions.html). Official transcripts from all undergraduate and graduate institutions must be sent directly to the Graduate School. In addition, the student must arrange to have an official copy of the GRE (Graduate Record Examination) General Test scores sent to the Graduate School. International students must also submit their TOEFL (Test of English as a Foreign Language) scores. If the applicant meets the Graduate School's minimum requirements, the application is sent to the Klipsch School's Graduate Studies Committee for review. U.S. residents are given every chance of being successful in the pursuit of a graduate degree. If they do not meet the requirements of the Klipsch School, they can enter the Graduate School as "undeclared" where they must demonstrate competence in two or more graduate-level E E courses before they re-apply.

Requirements for Ph.D. Degree

The Program Educational Objectives for the Doctorate in Electrical Engineering are:

1. That graduates obtain relevant, productive employment performing research in academia, government, or industry, and/or are teaching at institutions of higher education.
2. That graduates obtain relevant, productive employment with the private sector or in government and/or pursue additional advanced degrees.

The Ph.D. program is open to students with a master's degree. Exceptionally well qualified students may petition for direct entry to the Ph.D. program without first obtaining a master's degree.

Option 1 - Ph.D. with completed MS degree

1. Complete undergraduate deficiency coursework, if the student admitted has both master's and bachelor's degrees in fields other than electrical engineering. Complete graduate deficiency coursework, which consists of three graduate core courses from three different areas of emphasis, if the student has a master's degree in a field other than electrical engineering.
2. Complete a minimum of 18 credits beyond the master's of graduate course work with the following restrictions:
1. E E courses must be numbered 500 or higher. Non-E E courses must be 450 or higher.
2. At least half of the 18 credits must be taken in the Klipsch School (E E).
3. At most 6 credits may be research, for example, E E 600, Doctoral Research, and E E 590 courses that are not listed as regular courses in the schedule.
4. Exclude credits of E E 700 Doctoral Dissertation.
5. If the MS degree is not E E, exclude credits from graduate deficiency coursework.

Option 2 - Direct Ph.D. with B.S.E.E or equivalent, but no MS degree

1. Complete three graduate core courses.
2. Complete a minimum of 42 credits of graduate coursework, including the three graduate core courses with the following restrictions:
1. At least half of the 42 credits must be numbered 500 or higher.
2. At least half of the 42 credits must be taken in the Klipsch School (E E).
3. At most 9 credits may be research, for example, E E 600, Doctoral Research, and E E 590 courses that are not listed as regular courses in the schedule.
4. Exclude credits of E E 700 Doctoral Dissertation.
5. Exclude credits from E E490, C S 457/467/477/487, BCS 472, SPCD 470/490, and COMM 485.
6. At least half of the credits must be taken with other than a single professor.

Common Requirements for all Ph.D. candidates

3. Participate in one semester of research seminars (E E 501, 1cr.)
4. Take and pass the Ph.D. qualifying exam.
5. Pass a comprehensive examination. The examination must be part written and part oral. The specific format of the exam is at the discretion of the examination committee. It may cover course work, include a proposal for dissertation research, and may be preceded by a written exam.
6. Complete 18 credits of E E 700 doctoral dissertation.
7. Submit evidence for a minimum of two publications related to the dissertation research, one of which is submitted to an internationally- recognized journal, such as IEEE Transactions, and the second of which may be with a professional conference, such as an IEEE conference.
8. Pass a final oral exam which defends the dissertation.

Other limitations and requirements that apply to all Ph.D. degrees are described elsewhere in this catalog.

PH.D. QUALIFYING EXAM

The Ph.D. Qualifying Exam is typically offered on the Monday just prior to the beginning of each semester. The format is one half day written exam. The examination indicates a readiness for research at the graduate level. Students answer a total of six questions with two coming from each of three areas of emphasis. Taking three graduate core courses (listed below) prepares students for the Ph.D. qualifying exam.

Requirements and Options for M.S.E.E. Degree

The Program Educational Objectives for the Master of Science Program in Electrical Engineering are:

1. That graduates successfully apply advanced skills and techniques in one or more areas of emphasis.
2. That graduates obtain relevant, productive employment with the private sector or in government and/or pursue additional advanced degrees.

Three options exist for the Master of Science in Electrical Engineering degree. The requirements for each option are listed below:

1. Thesis- 24 credits of course work plus 6 credits of E E 599 plus oral exam
2. Technical Report- 27 credits of course work plus 3 credits of E E 598 plus oral exam
3. Course Work Only- 30 credits of course work plus oral exam or the graduate portion of the Ph.D. qualifying exam

Credits of E E 490/498/499, C S 457/467/477/487, BCS 472, COMM 485, and SPCD 470/490 do not count toward a graduate degree. Credits of E E 590, Selected Topics, are limited to a total of 9, of which at most 6 may be credits for courses that don't appear as regular classes in the printed schedule. Each area of specialization may have additional requirements for students in those areas. Other limitations and requirements that apply to all master's degrees are described elsewhere in this catalog.

B.S./M.S. Program

This program option is designed to provide a means for ECE undergraduates to obtain both a B.S.E.E. and a M.S.E.E. degree with 154 credit hours of coursework (normally: B.S.E.E. = 130 hours, M.S.E.E. = 30 hours; total =160hours). Students electing to utilize this option will follow the existing undergraduate curriculum for the first seven semesters. In the final undergraduate semester, two graduate courses (>450 level) will be taken in lieu of two ECE electives listed in the undergraduate curriculum. The student receives a B.S.E.E. degree at this point. A M.S.E.E. program can be completed in three additional semesters. Students must obtain prior approval of the department before starting this program option.

Graduate core courses and breadth electives

The M.S.E.E. program requires students to participate in one semester of research seminars (E E 501, 1 cr.) and take two graduate core courses from two different areas of emphasis. In addition, either a third graduate core course OR one graduate breadth course must be taken from a third area of emphasis. If a student wishes to pursue a Ph.D., the third class should come from the core class list as preparation for the Ph.D. qualifying exam. The graduate core courses, specialty areas, and credits are listed below for the Graduate Core Courses and the Graduate Breadth Electives:

Graduate Core Courses:

E E 515, Electromagnetic Theory I (Electromagnetics)	3 cr.
E E 523, Analog VLSI Design (Microelectronics/VLSI)	3 cr.
E E 528, Optical Sources, Detectors, Radiometry (Electro-optics) or	4 cr.
E E 529, Lasers and Applications (Electro-optics)	4 cr.
E E 543, Power Systems III (Electric Energy Systems)	3 cr.
E E 545, Digital Signal Processing II (Digital Signal Processing)	3 cr.
E E 551, Control Systems Synthesis I (Control Systems)	3 cr.
E E 563, Computer Performance Analysis I (Comp. Engineering) or	3 cr.
E E 564, Advanced Computer Architecture I (Comp. Engineering)	3 cr.
E E 571, Random Signal Analysis (Communications)	3 cr.

The graduate breadth electives are listed below:

E E 524, Digital VLSI Design (Microelectronics/VLSI)	3 cr.
E E 537, Power Electronics (Electric Energy Systems)	3 cr.
E E 541, Antennas and Radiation (Electromagnetics)	3 cr.
E E 555, Advanced Linear Systems (Control Systems and Digital Signal Processing)	3 cr.
E E 581, Digital Communications I (Communications)	3

M.S.E.E. COursework option final exam

The M.S.E.E. Coursework Option Final Exam is typically offered on the Monday just prior to the beginning of each semester. The format is a half day written exam. Students answer a total of four questions with two coming from each of two areas of emphasis. Taking two graduate core courses (listed above) prepares students for the exam. The coursework option is limited to students who receive one semester or less from the department in the form of a teaching or research assistant.

Requirements for Students without B.S.E.E. Degree or Equivalent

Students without a B.S.E.E. degree or equivalent preparation will be expected to take classes covering the core knowledge required in our B.S.E.E. program. This includes mathematics through differential equations and basic engineering physics. The student's graduate advisor will prepare an individualized deficiency schedule, based on the student's academic background and work experience. The following course from our undergraduate program will be considered deficiencies for students without a B.S.E.E:

E E 161, Computer Aided Problem Solving	4 cr.
E E 162, Digital Circuit Design	4 cr.
E E 210, Engineering Analysis I	4 cr.
E E 260, Embedded Systems	4 cr.
E E 280, DC and AC Circuits	4 cr.
E E 310, Engineering Analysis II	3 cr.
E E 312, Signals and Systems I	3 cr.
E E 314, Signals and Systems II	4 cr.
E E 351, Applied Electromagnetics	4.cr.
E E 380, Electronics I	4.cr.

ELECTRICAL AND COMPUTER ENGINEERING

E E 452. Introduction to Radar 3 cr.

Basic concepts of radar. Radar equation; detection theory. AM, FM, and CW radars. Analysis of tracking, search, MTI, and imaging radar. Taught with E E 548. Restricted to undergraduate students. Prerequisite(s): C or better in E E 210 and E E 351. Pre/Corequisite(s): E E 496.

E E 453. Microwave Engineering 3 cr.

Techniques for microwave measurements and communication system design, including transmissions lines, waveguides, and components. Microwave network analysis and active device design. Taught with E E 521. Restricted to undergraduate students. Prerequisite(s): C or better in E E 351. Restricted to: Main campus only.

E E 454. Antennas and Radiation 3 cr.

Basic antenna analysis and design. Fundamental antenna concepts and radiation integrals. Study of wire antennas, aperture antennas, arrays, reflectors, and broadband antennas. Taught with E E 541. Restricted to undergraduate students. Prerequisite(s): C or better in E E 351. Restricted to: Main campus only.

E E 460. Space System Mission Design and Analysis 3 cr.

Satellite system design, including development, fabrication, launch, and operations. A systems engineering approach to concepts, methodologies, models, and tools for space systems. Prerequisite: junior standing.

E E 461. Systems Engineering and Program Management 3 cr.

Modern technical management of complex systems using satellites as models. Team projects demonstrate systems engineering disciplines required to configure satellite components. Prerequisite(s): Junior standing.

E E 469. Communications Networks 3 cr. (2+3P)

Introduction to the design and performance analysis of communications networks with major emphasis on the Internet and different types of wireless networks. Covers network architectures, protocols, standards and technologies; design and implementation of networks; networks applications for data, audio and video; performance analysis. Taught with E E 569. Prerequisite(s): C or better in E E 162 and (E E 210 or STAT 371).

E E 470. Physical Optics 3 cr.

Interference and diffraction, spectroscopic instrumentation, coherence, laser and Gaussian laser beam, and elements of nonlinear optics and fiber optics. Prerequisite: E E 370; and PHYS 214, PHYS 216G, or PHYS 217. Same as PHYS 470.

E E 471. Modern Experimental Optics 2 cr. (6P)

Advanced laboratory experiments in optics related to the material presented in E E 470. Pre/Corequisite(s): E E 470. Crosslisted with: PHYS 471

E E 473. Introduction to Optics 3 cr.

The nature of light, geometrical optics, basic optical instruments, wave optics, aberrations, polarization, and diffraction. Elements of optical radiometry, lasers and fiber optics. Prerequisite(s): PHYS 216G or PHYS 217. Crosslisted with: PHYS 473

E E 475. Automatic Control Systems 3 cr.

Design and synthesis of control systems using state variable and frequency domain techniques. Compensation, optimization, multi-variable system design techniques. Prerequisite(s): C or better in E E 314.

E E 476. Computer Control Systems 3 cr.

Representation, analysis and design of discrete-time systems using time-domain and z-domain techniques. Microprocessor control systems. Prerequisite: C or better in E E 314.

E E 477. Fiber Optic Communication Systems 4 cr. (3+3P)

Fundamental characteristics of individual elements (transmitters, detectors, and fibers) of fiber optic communication systems. Design and characterization of high-speed, multichannel fiber optic communication links. Introduction to fiber optic distribution. Taught with E E 527. Prerequisite(s): C or better in E E 351 or PHYS 461. Crosslisted with: PHYS 477.

E E 478. Optical Sources, Detectors and Radiometry 4 cr. (3+3P)

Fundamentals of optical sources, detectors, and radiometric measurements in the visible and infrared. Radiometry of imaging and nonimaging optical systems. Detector preamplifiers, noise, NEP, D, optical filters, and sensor systems. Taught with E E 528. Recommended foundation: E E 370. Prerequisite(s): PHYS 217. Crosslisted with: PHYS 478

E E 479. Lasers and Applications 4 cr. (3+3P)

Laser operating principles, characteristics, construction and applications. Beam propagation in free space and fibers. Laser diode construction and characteristics. Hands-on laboratory. Taught with EE 529. Prerequisite(s): C or better in E E 351 or PHYS 461. Crosslisted with: PHYS 479

E E 480. Introduction to VLSI 4 cr. (3+3P)

Introduction to analog and digital VLSI circuits implemented in CMOS technology. Design of differential amplifiers, opamps, CMOS logic, flip-flops, and adders. Introduction to VLSI fabrication process and CAD tools. Prerequisite(s): C or better in E E 260 and E E 380.

E E 482. Electronics II 3 cr.

Feedback analysis, application of operational amplifiers, introduction to data converters, analog filters, oscillator circuits.. Prerequisite: C or better in E E 161 and E E 380.

E E 483. RF Microelectronics 3 cr.

Analysis, design and implementation of RF integrated circuits in CMOS/BJT technologies. Low noise amplifiers and mixers, power amplifiers, wideband amplifiers, oscillators, phase-locked frequency synthesizers. Taught with E E 519. Restricted to undergraduate students. Prerequisite(s): C or better in E E 480 and E E 351. Restricted to: Main campus only.

E E 485. Analog VLSI Design 3 cr. (2+3P)

Analysis, design, simulation, layout and verification of CMOS analog building blocks, including references, opamps, switches and comparators. Teams implement a complex analog IC. Taught with E E 523. Restricted to undergraduate students. Prerequisite(s): C or better in E E 312 and E E 480. Restricted to: Main campus only.

E E 486. Digital VLSI Design 3 cr.

An introduction to VLSI layers. Static and dynamic logic design, memory circuits, arithmetic operators, and digital phase-locked loops. Taught with E E 524. Restricted to undergraduate students. Prerequisite(s): C or better in E E 260 and E E 380.

E E 486 L. Digital VLSI Design Laboratory 1 cr. (3P)

Simulation, schematic capture, layout, and verification using software tools of material presented in E E 486. An introduction to measurement of digital VLSI circuits. Taught with E E 524L. Prerequisite(s): C or better in E E 260 and E E 380. Pre/Corequisite(s): E E 486.

E E 490. Selected Topics 1-3 cr.

Prerequisite: consent of instructor. May be repeated for a maximum of 9 credits. Graduate students may not use credits of E E 490 toward an M.S. or Ph.D. in electrical engineering.

E E 493. Power Systems III 3 cr.

Analysis of a power system under abnormal operating conditions. Topics include symmetrical three-phase faults, theory of symmetrical components, unsymmetrical faults, system protection, and power system stability. Taught with E E 543. Restricted to undergraduate students. Prerequisite(s): C or better in E E 391. Pre/Corequisite(s): E E 431.

E E 494. Distribution Systems 3 cr.

Concepts and techniques associated with the design and operation of electrical distribution systems. Taught with E E 544. Restricted to undergraduate students. Prerequisite(s): C or better in E E 431. Pre/Corequisite(s): E E 493. Restricted to: Main campus only.

E E 496. Introduction to Communication Systems 4 cr. (3+3P)

Introduction to the analysis of signals in the frequency and time domains. A study of baseband digital transmission systems and digital/analog RF transmission systems. Introduction to telecom systems as well as satellite systems. Prerequisite(s): C or better in E E 314.

E E 497. Digital Communication Systems I 3 cr.

Techniques for transmitting digital data over commercial networks. Topics include baseband and bandpass data transmission and synchronization techniques. Taught with E E 581. Recommended foundation: E E 496. Prerequisite(s): E E 210 and E E 314.

E E 500. Special Problems 1-9 cr.

Individual investigation in a particular field of electrical engineering. May be repeated for a maximum of 9 credits.

E E 501. Research Topics in Electrical and Computer Engineering 1 cr.

Ethics and methods of engineering research; contemporary research topics in electrical and computer engineering. Taught with E E 401 with differentiated assignments for graduate students.

E E 513. Active Network Synthesis 3 cr.

Active network synthesis, including sensitivity of circuits, operational amplifier realizations of cascaded and coupled active filters, and gyrator and frequency-dependent-negative-resistor realizations. Recommended preparation is E E 312 or equivalent. Restricted to: Main campus only.

E E 515. Electromagnetic Theory I 3 cr.

Electromagnetic theory of time-harmonic fields in rectangular, cylindrical and spherical coordinates with applications to guided waves and radiated waves. Induction and equivalence theorems, perturbational and variational principles applied to engineering problems in electromagnetics. Recommended preparation is E E 351 or equivalent. Restricted to: Main campus only.

E E 516. Electromagnetic Theory II 3 cr.

Continuation of E E 515.

E E 518. Integrated Power Management Circuits 3 cr.

Design and analysis of power management integrated circuits, including linear voltage regulators, voltage references, buck, boost, and buck-boost DC-DC converters, and charge pumps. Extensive use of CAD tools are used to simulate these circuits. Prerequisite(s): E E 486 or E E 524. Pre/Corequisite(s): E E 485 or E E 523.

E E 519. RF Microelectronics 3 cr.

Analysis, design and implementation of RF integrated circuits in CMOS/BJT technologies. Low noise amplifiers and mixers, power amplifiers, wideband amplifiers, oscillators, phase-locked frequency synthesizers. Recommended preparation is E E 351 and E E 480 or equivalent. Taught with E E 483 with differentiated assignments for graduate students. Restricted to: Main campus only.

E E 520. A/D and D/A Converter Design 3 cr.

Practical design of integrated data converters in CMOS/BJT technologies, OP-AMPS, comparators, sample and holds, MOS switches, element mismatches. Nyquist rate converter architectures: flash, successive approximation, charge redistribution, algorithmic, two step, folding, interpolating, pipelined, delta-sigma converters. Prerequisite(s): E E 523. Restricted to: Main campus only.

E E 521. Microwave Engineering 3 cr.

Techniques for microwave measurements and communication system design, including transmission lines, waveguides, and components. Microwave network analysis and active device design. Recommended preparation is E E 351 or equivalent. Taught with E E 453 with differentiated assignments for graduate students. Restricted to: Main campus only.

E E 522. Advanced Analog VLSI Design 3 cr.

Design of high-peformance operational amplifiers; class-AB, rail-to-rail, low-voltage, high-bandwidth, fully-differential. Design of linear operational transconductance amplifiers, high-frequency integrated filters, four-quadrant multipliers, and switched-capacitor circuits. Prerequisite(s): E E 523.

E E 523. Analog VLSI Design 3 cr. (2+3P)

Analysis, design, simulation, layout and verification of CMOS analog building blocks, including references, opamps, switches and comparators. Teams implement a complex analog IC. Recommended preparation is E E 312 and E E 480 or equivalent. Taught with E E 485 with differentiated assignments for graduate students. Restricted to: Main campus only.

E E 524. Digital VLSI Design 3 cr.

An introduction to VLSI layers. Static and dynamic logic design, memory circuits, arithmetic operators,and digital phase-locked loops. Taught with E E 486 with differentiated assignments for graduate students. Recommended foundation: E E 260 and E E 380.

E E 524 L. Digital VLSI Design Laboratory 1 cr. (3P)

Simulation, schematic capture, layout, and verification using software tools of material presented in E E 524. An introduction to measurement of digital VLSI circuits. Taught with E E 486L with differentiated assignments for graduate students.

E E 525. Introduction to Semiconductor Devices 3 cr.

Energy bands, carriers in semiconductors, junctions, transistors, and optoelectronic devices, including light-emitting diodes, laser diodes, photodetectors, and solar cells. Recommended preparation is E E 380 and E E 351. Taught with: E E 425 with differentiated assignments for graduate students.

E E 526. CMOS Image Sensors 3 cr.

Design, simulation, layout and testing of CMOS image sensors. Covers passive-pixel, active-pixel, and logarithmic photo-sensors, readout circuitry, and timing circuits for automatic frame generation. Includes teamwork, written and oral communication, and realistic technical requirements. Prerequisite(s): E E 486 or E E 524. Pre/Corequisite(s): E E 485 or E E 523.

E E 527. Fiber Optic Communication Systems 4 cr. (3+3P)

Fundamental characteristics of individual elements (transmitters, detectors, and fibers) of fiber optic communication systems. Design and characterization of high-speed, multichannel fiber optic communication links. Introduction to fiber optic distribution. Recommended foundation: E E 351 or PHYS 461. Taught with: EE 477 with differentiated assignments for graduate students. Crosslisted with: PHYS 527

E E 528. Optical Sources, Detectors, and Radiometry 4 cr. (3+3P)

Fundamentals of optical sources, detectors, and radiometric measurements in the visible and infrared. Radiometry of imaging and nonimaging optical systems. Detector preamplifiers, noise, NEP, D, and optical filters. Taught with E E 478 with differentiated assignments for graduate students. Recommended foundation: PHYS 217 and E E 370. Crosslisted with: PHYS 528

E E 529. Lasers and Applications 4 cr. (3+3P)

Laser operating principles, characteristics, construction and applications. Beam propagation in free space and fibers. Laser diode construction and characteristics. Hands-on laboratory. Recommended foundation: E E 351 or PHYS 461. Taught with: EE 479 with differentiated assignments for graduate students. Crosslisted with: PHYS 529

E E 530. Environmental Management Seminar I 1 cr.

Same as CH E 530, C E 530, I E 530.

E E 531. Power System Modeling and Computational Methods 3 cr.

Development and analysis of fast computational methods for efficient solution of large scale power-system problems. Algorithms for constructing the bus impedance matrix; sparse matrix techniques; partial- inverse methods; compensation of mutual coupling. Pre/Corequisite(s): E E 543. Restricted to: Main campus only.

E E 532. Dynamics of Power Systems 3 cr.

Transient and dynamic stability of power systems; synchronous machine modeling and dynamics; prediction and stabilization of system oscillations. Recommended preparation is E E 493 or equivalent. Restricted to: Main campus only.

E E 533. Power System Operation 3 cr.

AGC, economic dispatch, unit commitment, operations planning, power flow analysis and network control, system control centers. Recommended preparation is E E 493 or equivalent. Restricted to: Main campus only.

E E 534. Power System Relaying 3 cr.

Fundamental relay operating principles and characteristics. Current, voltage, directional, differential relays; distance relays; pilot relaying schemes. Standard protective schemes for system protection. Operating principles and overview of digital relays. Recommended preparation is E E 493 or equivalent.

E E 535. Power System Reliability and Risk Assessment 3 cr.

Probability applications in power systems; stochastic modeling of power system components and networks. Reliability modeling and analysis of generation systems, composite (generation and transmission) systems, interconnected systems, distribution systems, industrial and commercial systems. Analysis of risk in power systems; understanding of causes and remedial measures. Prerequisite: consent of instructor.

E E 536. Power System Overvoltage Transients 3 cr.

Introduction of the origin and analysis of overvoltage and other transients in power systems. Basic principles of design to control and protect against overvoltages and to provide an overview of applicable standards and testing methods. Use of the electromagnetic transients program (EMTP). Recommended preparation is E E 493 or equivalent. Restricted to: Main campus only.

E E 537. Power Electronics 3 cr. (2+3P)

Basic principles of power electronics and its applications to power supplies, electric machine control, and power systems. Recommended preparation is E E 314, E E 380, and E E 391. Taught with E E 432 with differentiated assignments for graduate students.

E E 538. Advanced Distribution Systems 3 cr.

Continuation of E E 494 and E E 544. Emphasis is directed toward the overall coordinated protection of distribution feeders. Distribution system reliability, performance indexes and economics are presented. Recommended preparation is E E 494 or equivalent. Restricted to: Main campus only.

E E 539. Electric Power Quality 3 cr.

Power quality, harmonics, and related problems in electric power systems, their causes, and effects. Applicable standards, instrumentation, analysis procedures, and mitigation. Recommended preparation is E E 493 or equivalent. Restricted to: Main campus only.

E E 541. Antennas and Radiation 3 cr.

Basic antenna analysis and design. Fundamental antenna concepts and radiation integrals. Study of wire antennas, aperture antennas, arrays, reflectors, and broadband antennas. Recommended preparation is E E 351 or equivalent. Taught with E E 454 with differentiated assignments for graduate students. Restricted to: Main campus only.

E E 542. Power Systems II 3 cr.

Analysis of a power system in the steady-state. Includes the development of models and analysis procedures for major power system components and for power networks. Recommended preparation is E E 391 or equivalent. Taught with E E 431 with differentiated assignments for graduate students. Restricted to: Main campus only.

E E 543. Power Systems III 3 cr.

Analysis of a power system under abnormal operating conditions. Topics include symmetrical three-phase faults, theory of symmetrical components, unsymmetrical faults, system protection, and power system stability. Recommended preparation is E E 431 or equivalent. Taught with E E 493 with differentiated assignments for graduate students. Restricted to: Main campus only.

E E 544. Distribution Systems 3 cr.

Concepts and techniques associated with the design and operation of electrical distribution systems. Recommended preparation is E E 542 and E E 543. Taught with E E 494 with differentiated assignments for graduate students.

E E 545. Digital Signal Processing II 3 cr.

Non-ideal sampling and reconstruction, oversampling and noise shaping in A/D and D/A, finite word length effects, random signals, spectral analysis, multirate filter banks and wavelets, and applications. Recommended preparation is E E 395 or equivalent. Restricted to: Main campus only.

E E 548. Introduction to Radar 3 cr.

Basic concepts of radar. Radar equation; detection theory, AM, FM, and CW radars. Analysis of tracking, search, MTI, and image radar. Recommended preparation is E E 310, E E 351, and E E 496 or equivalent. Taught with E E 452 with differentiated assignments for graduate students. Restricted to: Main campus only.

E E 549. Smart Antennas 3 cr.

Smart antenna and adaptive array concepts and fundamentals, uniform and plannar arrays, optimum array processing. Adaptive beamforming algorithms and architectures: gradient-based algorithms, sample matrix inversion, least mean square, recursive least mean square, sidelobes cancellers, direction of arrival estimations, effects of mutual coupling and its mitigation. Taught with E E 449. Recommended foundation is E E 314 and E E 351.

E E 551. Control System Synthesis I 3 cr.

An advanced perspective of linear modern control system analysis and design, including the essential algebraic, structural, and numerical properties of linear dynamical systems.

E E 552. Control System Synthesis II 3 cr.

An overview of optimal controls for linear dynamical systems, analysis and design of control systems using Lyapunov techniques, control system design using semidefinite programming. An introduction to stochastic filtering and control.

E E 555. Advanced Linear Systems 3 cr.

Advanced level study of linear systems and associated mathematical tools including linear equations, spectral theory, normal matrices, projections, quadratic forms, discrete and continuous time dynamical systems. Recommended preparation is MATH 480 or equivalent. Restricted to: Main campus only.

E E 557. Energy Harvesting 3 cr.

E E 560. Computer Network Security 3 cr.

An introduction to computer network security, addressing security protocols, cryptology, and information assurance. Recommended preparation is E E 469 or equivalent and C programming skills. Restricted to: Main campus only.

E E 561. Sequential Machines I 3 cr.

Fault detection of combinational circuits. Representation, equivalents, reduction, decomposition and fault detection of sequential machines. Recommended preparation is E E 363 or equivalent. Restricted to: Main campus only.

E E 563. Computer Performance Analysis I 3 cr.

Issues involved and techniques used to analyze performance of a computer system. Topics covered include computer system workloads; statistical analysis techniques such as principal component analysis, confidence interval, and linear regression; design and analysis of experiments; queuing system analysis; computer system simulation; and random number generation. Recommended foundation: E E 210 and E E 363.

E E 564. Advanced Computer Architecture I 3 cr.

Multiprocessor and distributed computer architectures, models of parallel computation, processing element and interconnection network structures, and nontraditional architectures. Recommended preparation is E E 363 or equivalent.

E E 565. Pattern Recognition 3 cr.

Statistical pattern classification, supervised and unsupervised learning, feature selection and extraction, clustering, image classification and syntactical pattern recognition. Prerequisite: E E 571 or equivalent.

E E 566. Parallel Computer Architecture I 3 cr.

Parallel computer architectures primarily focused on message-passing architectures, but including shared-memory architectures. Scalable multiprocessors, directory-based cache coherence, synchronization, programming models, the parallelization process, workload-driven analysis and evaluation. Recommended preparation is E E 363 or C S 473.

E E 568. Wireless Networks 3 cr.

Challenges of node mobility and wireless channels. Protocols and architectures for wireless data communications. Modeling and simulation of wireless networks. Advanced topics in wireless networks from current literature. Recommended preparation is EE 469 or equivalent. Restricted to: Main campus only.

E E 569. Communications Network 3 cr. (2+3P)

Introduction to the design and performance analysis of communications networks with major emphasis on the Internet and different types of wireless networks. Covers network architectures, protocols, standards and technologies; design and implementation of networks; networks applications for data, audio and video; performance analysis. Taught with E E 469. Recommended foundation is E E 162 and (E E 210 or STAT 371).

E E 570. Advanced Physical Optics 3 cr.

Same as PHYS 570. Crosslisted with: PHYS 570

E E 571. Random Signal Analysis 3 cr.

Application of probability and random variables to problems in communication systems, analysis of random signal and noise in linear and nonlinear systems.

E E 572. Modern Coding Theory 3 cr.

Error control techniques for digital transmission and storage systems. Introduction to basic coding bounds, linear and cyclic block codes, Reed-Solomon codes, convolutional codes, maximum likelihood decoding, maximum a posteriori probability decoding, factor graphs, low density parity check codes, turbo codes, iterative decoding. Applications to data networks, space and satellite transmission, and data modems. Recommended foundation is E E 210 and E E 496.

E E 573. Signal Compression 3 cr.

Fundamentals of information source encoding and decoding. Includes information theory bounds on source coding, lossless coding algorithms, scalar quantizing and vector quantizing. Prerequisite: E E 571.

E E 577. Fourier Methods in Electro-Optics 3 cr.

Linear systems theory, convolution and Fourier transformation are applied to one-dimensional and two dimensional signals encountered in electro-optical systems. Applications in diffraction, coherent and incoherent imaging, and optical signal processing. Recommended foundation: E E 312 and E E 528. Crosslisted with: PHYS 577

E E 578. Optical System Design 3 cr.

Optical design software is used to study optical systems involving lenses, mirrors, windows and relay optics. Systems considered include camera lenses, microscopes and telecsopes. Recommended foundation: E E 370, E E 528 and E E 577. Crosslisted with: PHYS 578

E E 581. Digital Communication Systems I 3 cr.

Techniques for transmitting digital data over commercial networks. Topics include baseband and bandpass data transmission and synchronization techniques. Recommended foundation is E E 210, E E 314, and E E 496. Taught with E E 497.

E E 583. Personal Communications Systems 3 cr.

Cellular systems, propagation, modulation, multiple access, and spread spectrum techniques for mobile radio, as well as smart antennas, networking, and standards for wireless systems. Prerequisite: E E 571.

E E 584. Mathematical Methods for Communications and Signal Processing 3 cr.

Applications of mathematical techniques from estimation theory, optimization principles and numerical analysis to the problems in communications and signal processing. Prerequisites: E E 571 and E E 555 or knowledge of linear algebra.

E E 585. Telemetering Systems 3 cr.

Covers the integration of components into a command and telemetry system. Topics include analog and digital modulation formats, synchronization, link effects, and applicable standards. Recommended preparation is E E 395, E E 496, and E E 497, or equivalent. Restricted to: Main campus only.

E E 586. Information Theory 3 cr.

This class is a study of Shannon's measure of information and discusses mutual information, entropy, and channel capacity, the noiseless source coding theorem, the noisy channel coding theorem, channel coding and random coding bounds, rate-distortion theory, and data compression. Prerequisite(s): E E 571 or STAT 515. Restricted to: Main campus only. Crosslisted with: MATH 509

E E 589. Digital Speech Processing 3 cr.

Speech signals analysis, coding, enhancement, recognition, and synthesis; introduction to linguistics and the human auditory and production systems. Prerequisite: E E 545.

E E 590. Selected Topics 1-9 cr.

May be repeated for a maximum of 18 credits.

E E 591. Advanced Experimental Optics 2 cr.

See PHYS 571. Crosslisted with: PHYS 571

E E 592. Real-Time Digital Signal Processing 3 cr.

Project-oriented course covering the fundamentals of real-time digital signal processing (DSP) by programming a state-of-the-art digital processor to solve a variety of problems in digital audio and communications engineering. Prerequisite: E E 545. Same as E E 442 with differentiated assignments for graduate students.

E E 594. Adaptive Signal Processing (s) 3 cr.

Wiener filters, linear prediction, least-mean-square algorithms, and recursive-least-squares algorithms with applications to prediction, system identification, equalization, and interference canceling. Prerequisites: E E 545 and E E 571.

E E 595. Multirate Digital Signal Processing and Wavelets 3 cr.

This class introduces material on multirate systems, multirate filter banks, wavelets, lapped orthogonal transformations, and lifting for fast implementations. Recommended preparation is E E 395.

E E 596. Digital Image Processing 3 cr.

Two-dimensional transform theory, color images, image enhancement, restoration, registration, segmentation, compression and understanding. Recommended foundation is E E 571. Taught with E E 446.

E E 598. Master's Technical Report 0-9 cr.

Individual investigation, either analytical or experimental, culminating in a technical report. May be repeated for a maximum of 18 credits. Graded PR/S/U.

E E 599. Master's Thesis 0-88 cr.

Thesis.

E E 600. Doctoral Research 1-88 cr.

Research.

E E 615. Computational Electromagnetics 3 cr.

The numerical solution of electromagnetics problems. Topics include differential equation techniques, integral equation methods, hybrid techniques, algorithm development and implementation, and error analysis. Particular algorithms, including FEM, finite differences, direct solvers, and iterative solvers, are studied.

E E 671. Signal Detection and Estimation Theory 3 cr.

Statistical decision theory with applications to optimum detection and estimation of signals in communications systems. Prerequisite: E E 571 or consent of instructor.

E E 690. Selected Topics 1-9 cr.

May be repeated for a maximum of 9 credits.

E E 700. Doctoral Dissertation 0-88 cr.

Dissertation..