Course prerequisites and topics

A computer circuit board with wires coming out of it

This site provides information and guidance; however, the ASU Catalog takes precedence should any inconsistencies appear.

See ASU Graduate Course Descriptions.

Course topics and instructors will be added to the material below as they become available.

Special topic courses

EEE 598 classes are special topic courses that are not offered in regular course rotation. Please refer to the class search tool to see what EEE 598 classes will be offered every semester. See a collection of the syllabi/course topics summaries for some of the most recent EEE 598 classes.

Notice to all students:

If you enroll in a course that has prerequisites that you have not taken (at ASU or elsewhere) you will be in danger of receiving a poor grade in that course!

EEE 501 Overview of Electrical Engineering

Course Description: Electromagnetic fields, electrical circuit analysis, transmission lines, communications systems, electromagnetic interference and compatibility, computational techniques and electromagnetic software.

Credits: 3

EEE 505 Time-Frequency Signal Processing

Course Description: Joint time-frequency analysis of time-varying signals and systems; linear and quadratic time-frequency representations; applications in current areas of signal processing. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students only.

Prerequisites: EEE 407 Corequisites: EEE 554 Past Instructors: Papandreou Credits: 3
Course Topics for EEE 505

EEE 506 Digital Spectral Analysis

Course Description: Principles and applications of digital spectral analysis, least squares, random sequences, parametric, and nonparametric methods for spectral estimation. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 407, EEE 554 Past Instructors: Spanias, Bliss Credits: 3
Course Topics for EEE 506

EEE 507 Multidimensional Signal Processing

Course Description: Processing and representation of multidimensional signals. Design of systems for processing multidimensional data. Introduces image and array processing issues. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 404, EEE 407 Past Instructors: Karam Credits: 3
Course Topics for EEE 507

EEE 508 Digital Image Processing and Compression

Course Description: Fundamentals of digital image perception, representation, processing, and compression. Emphasizes image coding techniques. Signals include still pictures and motion video. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 404, EEE 407 Past Instructors: Karam Credits: 4
Course Topics for EEE 508

EEE 509 DSP Algorithms and Software

Course Description: Linear systems review, digital filter design, software aspects, DFT, FFT, random signals, programming aspects, applications projects, MATLAB and Java simulations.

Prerequisites: EEE 203, MAT 342 Past Instructors: Spanias Credits: 3
Course Topics for EEE 509

EEE 510 Multimedia Signal Processing

Course Description: Speech/audio coding algorithms. LPC, CELP, MPEG, Cell phone, DTV, cinema, and surround sound standards. MPEG/JPEG introduction.

Prerequisites: EEE 203, 506 or 606, MAT 342 Past Instructors: Spanias Credits: 3
Course Topics for EEE 510

EEE 511 Artificial Neural Computation Systems

Course Description: Networks for computation, learning function representations from data, learning algorithms and analysis, function approximation and information representation by networks, applications in control systems and signal analysis. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 304 Corequisites: EEE 554 Past Instructors: SiCredits: 3
Course Topics for EEE 511

EEE 518 Fundamentals of Microelectronics Packaging

Course Description: Multidisciplinary foundation course in addressing electrical, thermal, materials, chemical, manufacturing, and reliability problems in packaging.

Prerequisites: Contact Instructor Past Instructors: N/A Credits: 3

EEE 521 Low Power Bioelectronics

Course Description: Begins with fundamental theory and techniques for low-power analog circuit design especially subthreshold CMOS and BJT circuits (e.g., translinear circuits), then moves to biomedical applications and bio-inspired systems focused upon neuromorphic circuits. Also touches on concepts such as wireless challenges for implants, energy harvesting and electrochemistry. Students have the opportunity to have their final projects fabricated in a commercial CMOS process.

Prerequisites: EEE433 or equivalent and EEE523 or equivalent Past Instructors: Blain Christen Credits: 3
Course Topics for EEE 521

EEE 523 Advanced Analog Integrated Circuits

Course Description: Analysis and design of analog integrated circuits: analog circuit blocks, reference circuits, operational-amplifier circuits, feedback, and nonlinear circuits. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 433 Past Instructors: Bakkaloglu, Allee, Kiaei Credits: 3
Course Topics for EEE 523

EEE 524 Communication Transceiver Circuits Design

Course Description: Communication transceivers and radio frequency system design; fundamentals of transceivers circuits; RF, IF, mixers, filters, frequency synthesizers, receivers, CAD tools, and lab work on IC design stations. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 433, EEE 455 Corequisites: EEE 445, EEE 523 Past Instructors: Kiaei, Ozev, Kitchen
Credits: 4
Course Topics for EEE 524

EEE 525 VLSI Design

Course Description: Analysis and design of Very Large Scale Integrated (VLSI) circuits. Physics of small devices, fabrication, regular structures, and system timing. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 433, EEE 425 Past Instructors: Cao, Clark, Chakrabarti, Allee, Ogras Credits: 3
Course Topics for EEE 525

EEE 526 VLSI Architectures

Course Description: Special-purpose architectures for signal processing. Design of array processor systems at the system level and processor level. High-level synthesis. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: Undergraduate senior-level course in DSP and Computer Architectures. Computer Architecture course could be completed at the same time as EEE 526, or students may study materials related to Computer Architecture on their own prior to the class.Past Instructors: Chakrabarti Credits: 3

EEE 527 Analog to Digital Converters

Course Description: Detailed introduction to the design of Nyquist rate, CMOS analog to digital converters. Enroll requirements: Pre-requisites: Engineering M.ENG./M.S./M.S.E./Ph.D./M.C.S. students OR Science & Engr Of Materials students AND a grade of C or better in EEE 523.

Prerequisites: EEE 523 Past Instructors: Jalali-Farahani, Allee, Garrity Credits: 3
Course Topics for EEE 527

EEE 528 Introduction to Microelectromechanical Systems

Course Description: Microelectromechanical systems and devices emphasizing analytical and numerical modeling of actuation and sensing mechanisms with an overview of fabrication technology. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: N/A Past Instructors: Blain Christen Credits: 3
Course Topics for EEE 528

EEE 529 Semiconductor Memory Technologies and Systems

Course Description: Design of semiconductor memory technologies and systems, from the device cell structures to the array and architecture design, with emphasis on the industry trends and cutting-edge technologies including SRAM, DRAM and FLASH technologies and emerging memory technologies such as STT-MRAM, PCRAM and RRAM.

Prerequisites: Circuit courses are required, e.g. EEE 425 – Digital Systems and Circuits, EEE 525 – VLSI Design. Courses related to solid state device and computer architecture are highly recommended, e.g. EEE 436 -Fund of Solid-State Devices, and CSE 420 – Computer Architecture.
Past Instructors: Yu Credits: 3
Course Topics for EEE 529

EEE 530 Advanced Silicon Processing

Course Description: Thin films, CVD, oxidation, diffusion, ion-implantation for VLSI, metallization, silicides, advanced lithography, dry etching, rapid thermal processing. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 435 or any course that includes basic semiconductor device fabrication
Past Instructors: Kozicki Credits: 3
Course Topics for EEE 530

EEE 531 Semiconductor Device Theory I

Course Description: Transport and recombination theory, pn and Schottky barrier diodes, bipolar and junction field-effect transistors, and MOS capacitors and transistors. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 436 Past Instructors: Skromme, Vasileska
Credits: 3
Course Topics for EEE 531

EEE 532 Semiconductor Device Theory II

Course Description: Advanced MOSFETs, charge-coupled devices, solar cells, photodetectors, light-emitting diodes, microwave devices, and modulation-doped structures. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students and a grade of C or better in EEE 531 or be currently enrolled OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 531 Past Instructors: Skromme, Vasileska Credits: 3
Course Topics for EEE 532

EEE 533 Semiconductor Device and Process Modeling (formerly titled Semiconductor Process/Device Simulation)

Course Description: This course offers complete introduction to semiclassical modeling and some aspects of quantum modeling of semiconductor devices. With emphasis on a variety of semiclassical numerical methods, this course provides basic concepts and design tools for analyzing discrete one/two/three-dimensional devices such as Schottky diodes, MESFETs, MOSFETs, FinFETs, BJTs, HBTs, HEMTs, Solar Cells, etc. Basic concepts of process modeling are also part of the syllabus. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 436 or equivalent Past Instructors: Vasileska Credits: 4
Course Topics for EEE 533

EEE 534 Semiconductor Transport

Course Description: Carrier transport in semiconductors. Hall effect, high electric field, Boltzmann equation, correlation functions, and carrier-carrier interactions. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 352, EEE 434 Past Instructors: Ferry, Vasileska Credits: 3
Course Topics for EEE 534

EEE 535 Electron Transport in Nanostructures

Course Description: Nanostructure physics and applications. 2-D electron systems, quantum wires and dots, ballistic transport, quantum interference, and single-electron tunneling. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 434, EEE 436 Past Instructors: Yu, Ferry Credits: 3
Course Topics for EEE 535

EEE 536 Semiconductor Characterization

Course Description: Measurement techniques for semiconductor materials and devices. Electrical, optical, physical, and chemical characterization methods. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 436 Past Instructors: Thornton Credits: 3
Course Topics for EEE 536

EEE 537 Semiconductor Optoelectronics

Course Description: Electronic states in semiconductors, quantum theory of radiation, absorption processes, radiative processes, nonradiative processes, photoluminescence, and photonic devices. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 434, EEE 436 (or EEE 531) Past Instructors: Ning, Y-H Zhang Credits: 3
Course Topics for EEE 537

EEE 538 Optoelectronic Devices

Course Description: Detailed theory and practical knowledge of semiconductors materials and optoelectronic devices such as light emitting diodes, lasers, photodetectors, and solar cells.

Prerequisites: None Past Instructors: Ning, Y-H Zhang Credits: 3Course Topics for EEE 538

EEE 539 Intro Solid-State Electronics

Course Description: Crystal lattices, reciprocal lattices, quantum statistics, lattice dynamics, equilibrium, and nonequilibrium processes in semiconductors. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 352, EEE 434 Past Instructors: Ferry, Vasileska Credits: 3
EEE 539 syllabus

EEE 540 Fast Computational Electromagnetics

Course Description: Method of moments, finite difference time-domain, finite element methods implemented using fast algorithms (wavelets, FMM, Nystrom) to gain high efficiency. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 445, EEE 443 (or EEE 541) Past Instructors: Diaz, Pan Credits: 3
Course Topics for EEE 540

EEE 541 Electromagnetic Fields and Guided Waves

Course Description: Polarization and magnetization; dielectric, conducting, anisotropic, and semiconducting media; duality, uniqueness, and image theory; plane wave functions, waveguides, resonators, and surface guided waves. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 341 Past Instructors: Balanis, Pan Credits: 3
Course Topics for EEE 541

EEE 543 Antenna Analysis and Design

Course Description: Impedances, broadband antennas, frequency independent antennas, miniaturization, aperture antennas, horns, reflectors, lens antennas, and continuous sources design techniques. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students.

Prerequisites: EEE 443 Past Instructors: Trichooulos Credits: 3
Course Topics for EEE 543

EEE 544 High-Resolution Radar

Course Description: Fundamentals; wideband coherent design, waveforms, and processing; stepped frequency; synthetic aperture radar (SAR); inverse synthetic aperture radar (ISAR); imaging. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students.

Prerequisites: Contact Instructor Past Instructors: Aberle Credits:3
Course Topics for EEE 544

EEE 545 Microwave Circuit Design

Course Description: Analysis and design of microwave resonators; power dividers and directional couplers; microwave filters; ferrimangnetic components; PIN diode switches, phase shifters and attenuators. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 445 Past Instructors: Aberle Credits:3
Course Topics for EEE 545

EEE 546 Advanced Fiber Optics

Course Description: Theory of propagation in fibers, couplers and connectors, distribution networks, modulation, noise and detection, system design, and fiber sensors. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 448 or instructor approval Past Instructors: Palais Credits:3
Course Topics for EEE 546

EEE 547 Microwave Solid-State Circuit Design I

Course Description: Practical design of microwave apmplifers, oscillators and mixers; overview of microwave systems. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 445 Past Instructors: Aberle Credits:3
Syllabus for EEE 547(word)

EEE 548 Coherent Optics

Course Description: Diffraction, lenses, optical processing, holography, electro-optics, and lasers. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 341 Past Instructors: Palais Credits:3
Course Topics for EEE 548

EEE 549 Lasers

Course Description: Theory and design of gas, solid, and semiconductor lasers. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 341 Past Instructors: Palais Credits:3
Syllabus for EEE 549(word)

EEE 550 Transform Theory and Applications

Course Description: Introduces abstract integration, function spaces, and complex analysis in the context of integral transform theory. Applications to signal analysis, communication theory, and system theory. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 304 Past Instructors: Cochran Credits:3
Syllabus for EEE 550(word)

EEE 551 Information Theory

Course Description: Entropy and mutual information, source and channel coding theorems, applications for communication and signal processing. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 554 Past Instructors: Duman, J Zhang, Hui Credits:3
Course Topics for EEE 551

EEE 552 Digital Communications

Course Description: Complex signal theory, digital modulation, optimal coherent and incoherent receivers, channel codes, coded modulation, Viterbi algorithm. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 455, EEE 554 Past Instructors: Duman, Tepedelenlioglu Credits:3
Course Topics for EEE 552

EEE 553 Coding and Cryptography

Course Description: Introduces algebra, block and convolutional codes, decoding algorithms, turbo codes, coded modulation, private and public key cryptography. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 554 Past Instructors: Duman, Tepedelenlioglu Credits:3

EEE 554 Random Signal Theory

Course Description: Applies statistical techniques to the representation and analysis of electrical signals and to communications systems analysis. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 350
Past Instructors: Duman, Tepedelelenlioglu, Reisslein, Cochran, Papandreou, Qian, Ying Credits:3
Course Topics for EEE 554

EEE 555 Modeling and Performance Analysis

Course Description: Modeling and performance analysis of stochastic systems and processes such as network traffic queueing systems and communication channels. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students.

Prerequisites: EEE 554 Past Instructors: N/A Credits:3

EEE 556 Detection and Estimation Theory

Course Description: Combines the classical techniques of statistical inference and the random process characterization of communication, radar, and other modern data processing systems. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science &
Engr Of Materials Ph.D. students.

Prerequisites: EEE 554 Past Instructors: Papandreou, Cochran Credits:3
Course Topics for EEE 556

EEE 557 Broadband Networks

Course Description: Physics of wireless and optical communications. Broadband multiplexing and switching methods. Blocking and queuing analysis. Network optimization, routing, and economics. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 554 Past Instructors: Hui Credits:3

EEE 558 Wireless Communications

Course Description: Cellular systems, path loss, multipath fading channels, modulation and signaling for wireless, diversity, equalization coding, spread spectrum, TDMA/FDMA/CDMA. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 552 Past Instructors: Duman, J Zhang, Tepedelenlioglu Credits:3

EEE 559 Wireless Networks

Course Description: Design principles of cellular networks. Multiple access control protocols for wireless systems. Wireless routing and TCP/IP. Mobile management. Call admission control and resource allocation (e.g., power control and rate control). Wireless security. Future-generation wireless networks. A previous course in random signal theory is required to be successful in this class.

Prerequisites: EEE 350 or equivalent Past Instructors: Zhang Credits:3
Course Topics for EEE 559

EEE 562 Nuclear Reactor Theory and Design

Course Description: Principles of neutron chain reacting systems. Neutron diffusion and moderation. One-, two-, and multigroup diffusion equation solution methods. Heterogeneous reactors. Nuclear fuel steady-state performance. Core thermal-hydraulics. Core thermal design.

Prerequisites: EEE 460 Past Instructors: Holbert Credits:3
Course Topics for EEE 562

EEE 563 Nuclear Reactor System Dynamics and Diagnostics

Course Description: Time-dependent solution to neutron diffusion equation. Reactor kinetics and reactivity changes. Dynamics, stability, and control of reactor systems. Modeling neutronic and thermal processes. System characterization in time and frequency domains. Reactor surveillance
and diagnostics.

Prerequisites: EEE 562 Past Instructors: Holbert Credits:3
Course Topics for EEE 563

EEE 564 Interdisciplinary Nuclear Power Operations

Course Description: Nuclear power plant systems. Studies interrelationship and propagation of effects that systems and design changes have on one another, especially in relation to nuclear power plant safety and operations. Case studies and design projects.

Prerequisites: EEE 460 Past Instructors: Holbert Credits:3
Syllabus for EEE 564(PDF)

EEE 565 Solar Cells

Course Description:Introduction to the generation and utilization of electricity from solar energy. Exploration of the science and engineering of direct conversion (photovoltaics), including the design, fabrication, and operation of solar cells, and the construction and performance of solar cell modules. Prior knowledge of properties of electronic materials is required to be successful in this course.

Prerequisites: Engineering graduate student Past Instructors: N/A Credits: 3
Course Topics for EEE 565

EEE 566 Advanced Device Modeling and Simulation

Course Description: In this course, students are introduced to a variety of methods for the solution of the Maxwell and Poisson equations, Boltzmann transport equation solution using Monte Carlo methods, and particle-based device simulators. Some aspects of quantum transport modeling, such as the Usuki method, the contact-block reduction method and recursive Green’s functions approach are also discussed in details.

Prerequisites: EEE 434 or EEE 534 Past Instructors: Vasileska Credits: 3
Course Topics for EEE 566

EEE 571 Power System Transients

Course Description: Simple switching transients. Transient analysis by deduction. Damping of transients. Capacitor and reactor switching. Transient recovery voltage. Travelling waves on transmission lines. Lightning. Protection of equipment against transient overvoltages. Introduces computer analysis of transients. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 470 or EEE 471 Past Instructors: Credits:3
Syllabus for EEE 571(word)

EEE 572 Advanced Power Electronics

Course Description: Analyzes device operation, including thyristors, gate-turn-off thyristors, and transistors. Design of rectifier and inverter circuits. Applications such as variable speed drives, HVDC, motor control, and uninterruptable power supplies. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: Graduate standing Past Instructors: Ayyanar Credits:3
Course Topics for EEE 572

EEE 573 Electric Power Quality

Course Description: Sinusoidal waveshape maintenance; study of momentary events, power system harmonics, instrumentation, filters, power conditioners, and other power quality enhancement methods. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 579 or graduate standing Past Instructors: Heydt Credits:3
Course Topics for EEE 573

EEE 574 Computer Solution of Power Systems

Course Description: Algorithms for digital computation for power flow, fault, and stability analysis. Sparse matrix and vector programming methods, numerical integration techniques, stochastic methods, solution of the least squares problem. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 471 Past Instructors: Tylavsky Credits:3
Course Topics for EEE 574

EEE 575 Power System Stability

Course Description: Dynamic performance of power systems with emphasis on stability. Modeling of system components and control equipment. Analysis of the dynamic behavior of the system in response to small and large disturbances. Knowledge of EEE470, 471 and 473 (or equivalents) is required to be successful in this course.

Prerequisites: Not available Past Instructors: Vittal Credits:3
EEE 575 syllabus

EEE 576 Power System Dynamics

Course Description: Dynamic performance of power systems with emphasis on control. Modeling of control equipment, FACTS devices, wind generators, and nonlinear loads. Design of power system stabilizers. Prior knowledge of electric power devices, power system analysis, and electrical machinery is required to be successful in this course.

Prerequisites: Not available Past Instructors: Vittal Credits: 3
Course Topics for EEE 576

EEE 577 Power Engineering Operations and Planning

Course Description: Economic dispatch, unit commitment, dynamic programming, power system planning and operation, control, generation modeling, AGC, and power production. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 470, EEE 471, or graduate standing Past Instructors: Heydt, M. Hedman Credits:3
Course topics for EEE 577

EEE 579 Power Transmission and Distribution

Course Description: High-voltage transmission line electric design; conductors, corona, RI and TV noise, insulators, clearances. DC characteristic, feeders voltage drop, and capacitors. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 360 Past Instructors: Karady Credits:3
Course Topics for EEE 579

EEE 581 Filtering of Stochastic Processes

Course Description: Modeling, estimation, and filtering of stochastic processes, with emphasis on the Kalman filter and its applications in signal processing and control. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 554, Linear Systems EEE 582 or instructor approval Past Instructors: Si Credits:3
Course Topics for EEE 581

EEE 582 Linear System Theory

Course Description: Controllability, observability, and realization theory for multivariable continuous time systems. Stabilization and asymptotic state estimation. Disturbance decoupling, noninteracting control. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 480 or EEE 481, or instructor approval Past Instructors: Tsakalis, Rodriguez Credits:3
Course Topics for EEE 582

EEE 584 Internship

Course Description: Structured practical experience following a contract or plan, supervised by faculty and practitioners. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students.

Prerequisites: N/A Past Instructors: N/A Credits:1-12

EEE 585 Digital Control Systems

Course Description: Analysis and design of digital and sampled data control systems, including sampling theory, z-transforms, the state transition method, stability, design, and synthesis. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 480 or EEE 481 Past Instructors: Tsakalis Credits:3

EEE 586 Nonlinear Control Systems

Course Description: Stability theory, including phase-plane, describing function, Liapunov’s method, and frequency domain criteria for continuous and discrete, nonlinear, and time-varying systems. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students.

Prerequisites: EEE 582 Past Instructors: Tsakalis Credits:3
Course Topics for EEE 586

EEE 587 Optimal Control

Course Description: Optimal control of systems. Calculus of variations, dynamic programming, linear quadratic regulator, numerical methods, and Pontryagin’s principle. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 480 or EEE 481, or instructor approval Past Instructors: Tsakalis Credits:3
Course Topics for EEE 587

EEE 588 Design of Multivariable Control Systems

Course Description: Practical tools for designing robust MIMO controllers. State feedback and estimation, model-based compensators, MIMO design methodologies, CAD, real-world applications. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 582 Past Instructors: Tsakalis, Rodriguez Credits:3

EEE 590 Reading and Conference

Course Description: Independent study in which a student meets regularly with a faculty member to discuss assignments. Course may include such assignments as intensive reading in a specialized area, writing a synthesis of literature on a specified topic, or writing a literature review of a topic. Enroll requirements: Pre-requisites: Master of Engineering or Electrical Engineering M.S./M.S.E./Ph.D. students only.

Prerequisites: N/A Past Instructors: N/A Credits:1-12

EEE 591 Seminar

Course Description: Graduate students can take any EEE 400 level class under this course title. See individual prerequisites and course topics under the corresponding 400 level class description here.

Prerequisites: N/A Past Instructors: N/A Credits:3-4

EEE 592 Research

Course Description: Independent study in which a student, under the supervision of a faculty member, conducts research that is expected to lead to a specific project such as a thesis or dissertation, report, or publication. Assignments might include data collection, experimental work, data analysis, or preparation of a manuscript.

Prerequisites: N/A Past Instructors: N/A Credits:1-12

EEE 595 Continuing Registration

Course Description: Used in situations where registration is necessary but where credit is not needed. Replaces arbitrary enrollment in reading and conference, research, thesis, dissertation, etc. Used by students when taking comprehensive examinations, defending theses or dissertations, or fulfilling the continuous enrollment requirement in doctoral programs. Credit is not awarded, and no grade is assigned.

Prerequisites: N/A Past Instructors: N/A Credits:1

EEE 598

Course Description: Topical courses not offered in regular course rotation–e.g., new courses not in the catalog, courses by visiting faculty, courses on timely topics, highly specialized courses responding to unique student demand. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: N/A Past Instructors: N/A Credits:1-4

EEE 598 classes are special topic courses that are not offered in regular course rotation. Please refer to the class search tool to see what EEE 598 classes will be offered every semester. Below is a collection of the syllabi/course topics summaries for some of the most recent EEE 598 classes.

EEE 598: Adaptive Optimal Control of Nonlinear Dynamic Systems
EEE 598: Adaptive Radar and Cognitive Systems
EEE 598: Advanced Biosensor Concepts
EEE 598: Advanced Device Modeling
EEE 598: Advanced Photovoltaics
EEE 598: Advanced Topics in Information Theory & Statistics
EEE 598: Advanced Topics in MIMO Wireless Communications
EEE 598: Computational Cameras, Lighting, and Displays
EEE 598: Computational Image Understanding & Pattern Analysis
EEE 598: Cooperative and Graph Signal Processing
EEE 598: Deep Learning Media Processing & Understanding
EEE 598: Defects in Semiconductors
EEE 598: Distributed and Large-Scale Optimization
EEE 598: Electric Energy Markets
EEE 598: High Power Converters and Drive Systems
EEE 598: Introduction to Complex Networks
EEE 598: Introduction to Electric and Autonomous Vehicles
EEE 598: Introduction to Spintronics
EEE 598: Low Power Bioelectronics
EEE 598: Machine Learning for Power Systems
EEE 598: Manuscript Writing for Engineers
EEE 598: Millimeter Wave and Terahertz Measurements
EEE 598: Mobile Systems Architecture
EEE 598: MOCVD for III-Nitride Devices
EEE 598: Nano Fabrication/Characterization (Nanoscale Fabrication and Characterization)
EEE 598: Nanobiotechnology From Nanoscience to Biomedicine
EEE 598: Nano/Micro Electromechanical Sensors
EEE 598: Nanophotonics
EEE 598: Network Information Theory
EEE 598: Neuromorphic Computing Hardware Design
EEE 598: Operations Research Applied to Electric Power Systems
EEE 598: Optical Spectroscopy of Semiconductor Materials and Heterostructures
EEE 598: Optoelectronic Devices
EEE 598: Personal Sensors for Mobile Health Applications
EEE 598: Photovoltaic Systems
EEE 598: Power Plant Control & Monitoring
EEE 598: Power System Reliability
EEE 598: Remote Sensing & Adaptive Radar
EEE 598: Renewable Electric Energy Systems
EEE 598: RF Test
EEE 598: RF Transmitters and Power Amplifiers
EEE 598: Semiconductor Memory Technologies and Systems
EEE 598: Sensor and Machine Learning Applications
EEE 598: Serial Links
EEE 598: Smart Grid Ops, Cybersecurity & Data Analytics (formerly titled Cyber-Security and Privacy in the Smart Grid)
EEE 598: Statistical Machine Learning: From Theory to Algorithms
EEE 598: Speech and Audio Production, Processing and Perception
EEE 598: Structural VLSI Circuit Design Based on Symmetry
EEE 598: Switch-Capacitor Analog Filter & Signal Processing Circuit Design
EEE 598: System-Level Design for Multicore Architectures
EEE 598: Technology Computer Aided Design
EEE 598: VLSI Design for Reliability
EEE 598: VLSI Modulation Circuits
EEE 598: WAMS-based Apps in Power Systems

EEE 599 Thesis

Course Description: Supervised research focused on preparation of thesis, including literature review, research, data collection and analysis, and writing.

Prerequisites: N/A Past Instructors: N/A Credits:1-12

EEE 606 Adaptive Signal Processing

Course Description: Principles and applications of adaptive signal processing, adaptive linear combiner, Wiener least-squares solution, gradient search, performance surfaces, LMS/RLS algorithms, block time/frequency domain LMS. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students.

Prerequisites: EEE 404 or EEE 407, EEE 554 Past Instructors: Spanias Credits:3
Course Topics for EEE 606

EEE 607 Speech Coding for Multimedia Communications

Course Description: Speech and audio coding algorithms for applications in wireless communications and multimedia computing. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 404 or EEE 407, EEE 554 Past Instructors: Spanias Credits:3

EEE 625 Advanced VLSI Design

Course Description: Practical industrial techniques, circuits, and architectures appropriate to high-performance and low-power digital VLSI designs such as microprocessors.

Prerequisites: EEE 525 Past Instructors: Clark Credits:3
Course Topics for EEE 625

EEE 627 Oversampling Sigma-Delta Data Converters

Course Description: Introduces design and analysis of sigma delta oversampled data converters from an IC design perspective.

Prerequisites: EEE 523 Past Instructors: N/A Credits:3
Course Topics for EEE 627

EEE 631 Heterojunctions and Superlattices

Course Description: Principles of heterojunctions and quantum well structures, band lineups, optical, and electrical properties. Introduces heterojunction devices. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students and a grade of C or better in EEE 531 or currently enrolled OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 436, EEE 531 Past Instructors: Ning Credits:3
Course Topics for EEE 631

EEE 641 Advanced Electromagnetic Field Theory

Course Description: Cylindrical wave functions, waveguides, and resonators; spherical wave functions and resonators; scattering from planar, cylindrical, and spherical surfaces; Green’s functions. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 541 Past Instructors: Balanis, Diaz Credits:3
Course Topics for EEE 641

EEE 643 Advanced Topics in Electromagnetic Radiation

Course Description: High-frequency asymptotic techniques, geometrical and physical theories of diffraction (GTD and PTD), moment method (MM), radar cross section (RCS) prediction, Fourier transforms in radiation, and synthesis methods. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 541 and (preferably) EEE 641 Past Instructors: Balanis Credits:3
Course Topics for EEE 643

EEE 647 Microwave Solid-State Circuit Design II

Course Description: Practical design of microwave free-running and voltage-controlled oscillators using Gunn and Impatt diodes and transistors; analysis of noise characteristics of the oscillator. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: No longer offered

EEE 680 Practicum

Course Description: Structured practical experience in a professional program, supervised by a practitioner and/or faculty member with whom the student works closely.

Prerequisites: N/A Past Instructors: N/A Credits:1-12

EEE 684 Internship

Prerequisites: N/A Past Instructors: N/A Credits:1-12

EEE 686 Adaptive Control

Course Description: Main topics covered: adaptive identification, convergence, parametric models, performance and robustness properties of adaptive controllers, persistence of excitation, and stability. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students.

Prerequisites: EEE 586 (or EEE 582 and instructor permission) Past Instructors: Tsakalis
Credits:3
Syllabus for EEE 686(word)

EEE 690 Reading and Conference

Course Description: Independent study in which a student meets regularly with a faculty member to discuss assignments. Course may include such assignments as intensive reading in a specialized area, writing a synthesis of literature on a specified topic, or writing a literature review of a topic. Enroll requirements: Pre-requisites: Engineering MENG, Electrical Engineering M.S./M.S.E./Ph.D. students

Prerequisites: N/A Past Instructors: N/A Credits:1-12

EEE 731 Advanced MOS Devices

Course Description: Threshold voltage, subthreshold current, scaling, small geometry effects, hot electrons, and alternative structures. Enroll requirements: Pre-requisites: Engineering M.ENG., M.S., M.S.E., Ph.D. and M.C.S. students OR Science & Engr Of Materials Ph.D. students.

Prerequisites: EEE 531 recommended Past Instructors: Barnaby Credits:3
Course Topics for EEE 731

EEE 790 Reading and Conference

Prerequisites: N/A Past Instructors: N/A Credits:1-12

EEE 792 Research

Course Description: Independent study in which a student, under the supervision of a faculty member, conducts research that is expected to lead to a specific project such as a dissertation, report, or publication. Assignments might include data collection, experimental work, data analysis, or preparation of a manuscript.

Prerequisites: N/A Past Instructors: N/A Credits:1-15

EEE 795 Continuing Registration

Prerequisites: N/A Past Instructors: N/A Credits:1
Syllabus for EEE 795(word)

EEE 799 Dissertation

Course Description: Supervised research focused on preparation of dissertation, including literature review, research, data collection and analysis, and writing.

Prerequisites: N/A Past Instructors: N/A Credits:1-15