Sample Programs of Study
sample programs of study
- Control systems
- Electromagnetics, antennas and microwave circuits
- Electronic and mixed-signal circuit design
- Electric power and energy systems
- Signal processing and communications
- Solid-state electronics
- Arts, media and engineering
control systems
Revised 12/07/09OVERVIEW
The Systems and Controls program includes nine graduate courses in the areas of linear and nonlinear control systems, real-time and digital control systems, optimal control, distributed parameter systems, adaptive control, and neural networks. In addition, the theoretical material taught in the upper division undergraduate and graduate courses is enhanced through the use of computer and experimental projects.
ELECTIVE COURSES
EEE 480 – Feedback Systems
EEE 481 - Computer Controlled Systems
GRADUATE COURSES
EEE 511 – Artificial Neural Computation Systems
EEE 550 – Transform Theory and Applications
EEE 554 – Random Signal Theory I
EEE 581 – Filtering of Stochastic Processes
EEE 582 – Linear System Theoryd
EEE 586 – Nonlinear Control Systems
EEE 587 – Optimal Control
EEE 588 – Design of Linear Multivariable Control Systems
EEE 686 – Adaptive Control Theory
RESEARCH ACTIVITIES
The control systems program concentrates on Ph.D. education sponsored by various federal and private sources. Most of the Ph.D. students receive financial support in the form of research assistantships or fellowships.
electromagnetics, antennas and microwave circuits
Revised 12/07/09OVERVIEW
The electromagnetics, antennas and microwave circuits curriculum includes undergraduate and graduate courses in the areas of engineering electromagnetics, antennas, microwave circuits and devices, fiber optics, and lasers. The graduate research program is supplemented by the Electromagnetic Anechoic Chamber, Millimeter-Wave Antenna Measurement Facility, Microwave Fabrication Facility, Microwave Characterization Laboratory, Electromagnetics Graphics Laboratory, and Electronic Packaging Laboratory. In addition, computers are incorporated in many of the upper division undergraduate and graduate courses to enhance the theoretical material taught in the courses.
ELECTIVE COURSES
EEE 443 – Antennas for Wireless Communications
EEE 445 – Microwaves
EEE 448 – Fiber Optics
GRADUATE COURSES
EEE 540 - Fast Computational Electromagnetics
EEE 541 – Electromagnetic Fields and Guided Waves
EEE 543 – Antenna Analysis and Design
EEE 544 – High Resolution Radar
EEE 545 – Microwave Circuit Design
EEE 546 – Advanced Fiber Optics
EEE 547 – Microwave Solid-State Circuit Design I
EEE 548 – Coherent Optics
EEE 549 – Lasers
EEE 641 – Advanced Electromagnetic Field Theory
EEE 643 – Advanced Topics in Electromagnetic Radiation
EEE 647 – Microwave Solid-State Circuit Design
RESEARCH ACTIVITIES
The faculty in the electromagnetics group are involved in research on many areas of applied electromagnetics, including: smart antennas; beamforming and steering techniques; flexible antennas; miniature, wideband and reconfigurable antennas; tunable and reconfigurable microwave circuits; RF micro-electro-mechanical systems; biomedical applications; metamaterials; and fast computational electromagnetic methods.
Sponsors of the electromagnetics, antennas and microwave circuits research program include the National Science Foundation, National Aeronautics and Space Administration, National Institutes of Health, Defense Advanced Research Projects Agency, Army Research Office, Office of Naval Research, Engineering Foundation, Sandia National Laboratories, local, regional and national industry, and the Advanced Helicopter Electromagnetics Industrial Associates Program — a unique research consortium encompassing ASU as well as several government agencies and helicopter companies.
electronic and mixed signal circuit design
Revised 1/15/2010
OVERVIEW
The School of Electrical, Computer and Energy Engineering at Arizona State University has a strong research program in electronic and mixed-signal circuit design. The curriculum includes five upper-division undergraduate courses and over 10 graduate-level courses in the area. This is an interdisciplinary group involving faculty in the Connection One Research Center, WinTech, and Center for Solid-State Electronics Research (CSSER).
With the support of semiconductor industry, and government agencies these centers have established a state-of-the-art educational program in VLSI design, modeling, mixed-signal and radio-frequency (RF) integrated circuits design.
ELECTRONIC AND MIXED-SIGNAL CIRCUIT DESIGN COURSES
EEE 425 – Digital Systems and Circuits
EEE 433 – Analog Integrated Circuits
EEE 498 – Advanced Digital Design
EEE 523 – Advanced Analog Integrated Circuits
EEE 524 – Communication Transceiver Circuits Design
EEE 525 – VLSI Design
EEE 526 – VLSI Architectures
EEE 527 – Analog-to-Digital Converters
EEE 598 – Switched Capacitor Circuit Design
EEE598 – Advanced Biosensor Concepts
EEE598 – MEMS Electrical Interface Circuits
RF AND MICROWAVE COURSES
EEE 425 – Digital Systems and Circuits
EEE 433 – Analog Integrated Circuits
EEE 445 – Microwaves
EEE 525 – VLSI Design
EEE 545 – Microwave Circuit Design
EEE 547 – Microwave Solid-State Circuit Design I
EEE 647 – Microwave Solid-State Circuit Design II
electric power and energy systems
Revised 8/15/2010OVERVIEW
The electric power and energy systems curriculum in the School of Electrical, Computer and Energy Engineering includes six upper division undergraduate and fourteen graduate courses in the area of power system analysis, power generation, transmission and distribution, power system dynamics and stability, energy conversion, electric machines, power electronics, high voltage engineering, and nuclear power engineering. An undergraduate power laboratory supports the teaching of energy conversion. A relay protection and power electronics laboratory provide hands on experience in the field of electrical power supplies, drives and network protection systems. The graduate research program is supported by the Power System Computational Laboratory, the High Voltage Laboratory, Insulation Laboratory, Advanced Power Electronics Laboratories and Power Plant Diagnostics Laboratory. In addition, the use of computers is integrated into all of the upper division undergraduate and graduate courses to enhance the theoretical material taught in the courses.
ASU is the lead university in the Power Systems Engineering Research Center (PSERC), an industrially and federally supported program of industry/university cooperation. Students are exposed to industrial projects, professional society meetings, laboratory experience, and research partially supported by PSERC. More information about PSERC may be found at http://www.pserc.org
Also, the ASU power engineering program is part of a NSF funded engineering research center, the Future Renewable Electric Energy Distribution Management (FREEDM) center. The FREEDM center deals with the use of solid state controllers and devices to implement a ‘next generation’ power distribution system, including distributed energy resources.
COURSES
EEE 691: Electric Power Seminar (required every semester)
ELECTIVE COURSES
EEE 460: Nuclear Power Engineering
EEE 463: Electrical Power Plants
EEE 470: Electric Power Devices
EEE 471: Power System Analyses
EEE 472 – Power Electronics
EEE 473: Electrical Machinery
EEE 562: Nuclear Reactor Theory and Design
EEE 563: Nuclear Reactor System Dynamics and Diagnostics
EEE 564: Interdisciplinary Nuclear Power Operations
EEE 571: Power System Transients
EEE 572: Advanced Power Electronics
EEE 574: Computer Solution of Power System
EEE 577: Power Engineering Operations and Planning
EEE 579: Power Transmission and Distribution
EEE 598: Electric Power Quality
EEE 598: Power System Stability
EEE 598: Power System Dynamics
EEE598 : Power Electronics applications in Power Systems
EEE 770: Advanced Topics in Power Systems
RESEARCH ACTIVITIES
The power program concentrates on masters level and PhD education, which is sponsored by the Electric Power Research Institute (EPRI), National Science Foundation, National Laboratories, power utilities and private industry. The Center for the Advanced Control of Energy and Power Systems sponsors research in electric power quality and control of power systems. Particularly close cooperation has been developed with the local utilities: Salt River Project and Arizona Public Service Company. The yearly industrial support is around $1 million, and the faculty and students publish several journal and conference papers. Most of the Ph.D. students receive financial support in the form of research or teaching assistantships. The research effort is focused in the following areas:
Power Electronics
The power electronics group focuses on research on high performance, switch mode power converters and control for a wide range of applications including voltage regulators for modern microprocessors, compact power supplies for space applications, motor drives with high performance PWM techniques, solid state transformers, power converters for renewable energy resources and power electronic control of power systems. We work on developing new topologies, control methods and PWM techniques to enhance the efficiency, power density, power quality and dynamic performance of the converters used in these and other emerging applications.
Recently a major research emphasis of our group has been on modeling, control and design of PWM power converters for enabling very high grid penetration of renewable resources - mainly distributed PV and wind, and emerging smart grid concepts including solar residential microgrids enabled by universal power management systems and distributed energy storage.
High Voltage Engineering and Dielectric Studies
Study of the aging process in insulating materials and prediction of life expectancy. Investigation of flashover mechanisms in polluted insulator surfaces. Study non-ceramic insulators behavior in different environment. Field studies on insulation systems (ceramic and non-ceramic) and protective insulator coatings. Field and laboratory studies on polymeric cable terminations.
Studies of corona formation under different environmental conditions. Recent work concentrated on high electric field caused aging of fiber optic cables, brittle fracture study, investigation of field failures, development of new flashover theory and development of a new material screening test.
Power Systems Analysis and Computation
Research is done to develop better algorithms and computational tools for power systems analysis; for example, (i) parameter estimation for short transmission lines using PMU measurements, (ii) faster transient stability programs using partitioning and frequency domain techniques and (iii) effect of a carbon cap-and-trade scheme on short-term unit commitment and day-ahead contracts.
Research to apply the latest computer technology to power system analysis; for example (i) the use of parallel and vector computers for transient stability analysis, (ii) the use of object-oriented programming for better maintenance of power analysis software and (iii) the use of windowing and graphics technology to develop easier user interfaces.
Research in power distribution, particularly on control methods, solid state devices in distribution engineering, and distributed renewable resources is being conducted by the FREEDM center.
Power Generation
Development of advanced diagnostic methods applied to power generation facilities are under study. Such techniques include utilization of instrument fault detection, power plant modeling and process diagnostics. Advanced state estimation is applied to this area.
Electric Power Quality
Several projects are in progress in the area of electric power quality. These include the use of the fast Fourier transform for data analysis, power conditioner design, harmonics, active filters, impact of power electronic loads on power systems, software development for power quality analysis, fuzzy logic applications and state estimation.
Innovative Applications
Innovative research areas are under study at ASU, and students interested in advanced novel applications are invited to participate in this work. These areas include: applications of the global positioning satellite, generation of very high power pulses in military applications, advanced mathematical methods, chaos theory, artificial neural networks, design of statistical experiments in high voltage engineering, and NiCd battery systems.
Renewable Resources
The group at ASU has recently been involved with several new projects dealing with the interface of renewable energy resources into the electric grid. These projects specifically deal with solar and wind resources. The projects examine the impact of high penetration of these resources on power system performance and reliability at the distribution and transmission level.
signal processing and communications
Revised 2/23/2010
OVERVIEW
The School of Electrical, Computer and Energy Engineering at Arizona State University offers instruction in the related areas of signal processing and communications systems (SP/Comm) at the graduate level. Courses are also offered for beginning graduate students in the SP/Comm area to bridge any gaps that might exist between their undergraduate course work and the 500-level offerings at ASU. Students may choose from among several 500-level courses ranging from offerings primarily intended for first-year students to special topics courses designed to acquaint advanced graduate students with research topics of current interest.
COMMUNICATIONS COURSES
EEE 455 – Communication Systems
EEE 459 – Communication Networks
EEE 551 – Information Coding Theory
EEE 552 – Digital Communications
EEE 553 – Coding and Cryptography
EEE 557 –Broadband Networks
EEE 558 – Wireless Communications
SIGNAL PROCESSING COURSES
EEE 404 – Real-Time Digital Signal Processing
EEE 407 – Digital Signal Processing
EEE 505 – Time-Frequency Signal Processing
EEE 506 – Digital Spectral Analysis
EEE 507 – Multidimensional Signal Processing
EEE 508 – Digital Image Processing and Compression
EEE 509 – DSP Algorithms and Software (online only)
EEE 510 – Multimedia Signal Processing (online only)
EEE 550 – Transform Theory and Applications
EEE 554 – Random Signal Theory
EEE 555 – Modeling and Performance Analysis
EEE 556 – Detection and Estimation Theory
EEE 581 – Filtering and Stochastic Processes
EEE 606 – Adaptive Signal Processing
EEE 607 – Speech Coding for Multimedia Communications
SPECIAL TOPICS COURSES--EEE 598
Advanced Topics in Wireless Communications and Networking
Multicarrier Communication Systems and OFDM
Signal Processing for Wireless Communications
Time-Varying Signal Processing
Speech Recognition Algorithms
Space time coding
Advanced Linear Algebra and Optimization
solid state electronics
Revised 12/07/09OVERVIEW
The solid-state electronics curriculum includes five upper-division undergraduate and 14 graduate courses in the areas of semiconductor devices and materials, characterization, photonic/photovoltaic devices, semiconductor processing/intelligent control, nanoelectronics, molecular electronics, transport, and computational electronics as well as occasional specialty courses.
ELECTIVE COURSES
EEE 434 – Quantum Mechanics for Engineers
EEE 435 – Microelectronics
EEE 436 – Fundamentals of Solid-State Devices
EEE 437 – Optoelectronics
EEE 439 – Semiconductor Facilities and Cleanroom Practices
GRADUATE COURSES
EEE 530 – Advanced Silicon Processing
EEE 531 – Semiconductor Device Theory I
EEE 532 – Semiconductor Device Theory II
EEE 533 – Semiconductor Process/Device Simulation
EEE 534 – Semiconductor Transport
EEE 535 – Electron Transport i n Nanostructures
EEE 536 – Semiconductor Characterization
EEE 537 – Fundamentals of Optoelectronics
EEE 538 – Optoelectronic Devices
EEE 539 – Introduction to Solid-State Electronics
EEE 598 – Molecular Electronics
EEE 631 – Advanced Optoelectronics
EEE 731 – Advanced MOS Devices
RESEARCH ACTIVITIES
The Solid-State Electronics program has students in the MSE, the MS, and the PhD programs. Research is typically supported by the National Science Foundation, the Department of Defense, the Department of Energy, NASA, and private industry.
arts, media and engineering
OVERVIEW
The School of Electrical, Computer and Energy Engineering at Arizona State University in collaboration with the Herberger College of Fine Arts (HFCA) has established a concentration in Arts, Media and Engineering. This concentration is available both for the M.S. and the Ph.D. programs (not available for M.S.E or M.Eng.). Students admitted in this program take two-thirds of their course, research, and thesis credits from the School of Electrical, Computer and Energy Engineering and one-third of the credits from the Arts, Media and Engineering program.
EE COURSES FOR THE AME CONCENTRATION
Students can take courses from the following EE subjects to satisfy the EE portion of the AME concentration. Other EE courses could be taken with the approval of the AME concentration advisor.
EEE 407 – Digital Signal Processing
EEE 455 – Communication Systems
EEE 459 – Communication Networks
EEE 480 – Controls Systems
EEE 506 – Digital Spectral Analysis
EEE 505 – Time-varying Signal Processing
EEE 507 – Multidimensional Signal Processing
EEE 508 – Digital Image Processing and Compression
EEE 550 – Transform Theory and Applications
EEE 551 – Information Coding Theory
EEE 552 – Digital Communications
EEE 553 – Coding and Cryptography
EEE 554 – Random Signal Theory
EEE 555 – Modeling and Performance Analysis
EEE 556 – Detection and Estimation Theory
EEE 558 – Wireless Communications
EEE 581 – Filtering and Stochastic Processes
EEE 606 – Adaptive Signal Processing
EEE 607 – Speech Coding for Multimedia Communications
AME and EE Thesis/Research Credits (MS)
EEE 592 – EE Research
EEE 599 – EE Thesis
AME 592 – AME Research
AME 599– AME Thesis
AME and EE Dissertation/Research Credits (PhD)
EEE 792 – Research
EEE 799 – Dissertation
AME 792 – Research
AME 799 – Dissertation
RESEARCH ACTIVITIES
The Arts, Media and Engineering program (AME, http://ame.asu.edu ) represents an ambitious interdisciplinary research community at ASU that is focused on the parallel development of media hardware, software, content, and theory. The AME is a joint effort of the Herberger College of Fine Arts (HCFA) and of the Ira A. Fulton Schools of Engineering. AME research addresses the discontinuum that exists between media content and media technologies, through a paradigm shift in media and arts training. The objective is to produce a new kind of hybrid graduate students who draw their creativity from the arts and their methodology from engineering sciences. AME trains students to integrate principles of DSP and multimedia computing with artistic ideas and objectives, with the goal of enabling new paradigms of human-machine experience that directly address societal needs and facilitate knowledge.
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