Skip to Content
Report an accessibility problem
Engineering  |  School of Electrical, Computer and Energy Engineering
Select Page

Course prerequisites and topics

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: Si   Credits: 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: Senior-level course in DSP and Computer Architectures  
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 Process/Device Simulation

Course Description: Device simulation concepts: conventional and advanced MOS devices, bipolar transistors, heterostructures including HEMTS and solar cells. Process simulation concepts: oxidation, ion implantation, diffusion.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: Skromme   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: 3
Course 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: Balanis, Diaz   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 attenuators, in-phase and quadrature-phase power dividers, magic tees, directional couplers, phase shifters, DC blocks, and equalizers. 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: Applies semiconductor characteristics to practical design of microwave mixers, detectors, limiters, switches, attenuators, multipliers, phase shifters, and amplifiers. 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: N/A   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: N/A   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: N/A   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: Understanding semi-classical and quantum transport theory and device simulations.

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 473 or graduate standing   Past Instructors: Heydt   Credits: 3
Syllabus for EEE 577(word)

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

Special Topics for EEE 598 classes

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

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 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

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: Electrical Engineering Ph.D. students only.

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

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
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