The Department of Electrical and Computer Engineering's (ECE) graduate program is a dynamic and thriving center of world-recognized research in a wide range of areas. Introduces fundamentals of statistical inference and data analysis through concepts of detection, estimation, and related signal processing algorithms. ECE Assistant Professor Alireza Ramezani showcases his latest research on the development of Aerobat: a bioinspired bat with articulated wings. Topics include random variables and their functions; PDF, PMF, and CDF notions; statistical averages; moments and characteristic functions; multiple random variables; joint and conditional PDF and PMF; multiple functions of random variables; correlation and covariance; mean squared estimation of random variables; Markov, Chebychev, and Chernov inequalities; various notions of convergence of random variable sequences; laws of large numbers; central limit theorem; and large deviation theory. 4 Hours. Students have the opportunity to pursue the Master of Science in Electrical and Computer Engineering Leadership (MSECEL) along with the Graduate Certificate in Engineering Leadership. Offers dissertation supervision by members of the department. May be repeated once. Special Topics in Electrical and Computer Engineering. 4 Hours. 4 Hours. Introduction to Software Security. 4 Hours. Covers planar transmission lines and coupled lines and their application to important devices and microwave circuit functions and multiport networks using S-parameters, flow graphs, and Smith charts. Investigates the emerging field of humanoid robotics. Covers topics from the course through various experiments. It attracts much attention due the increasing demand for the security, privacy, and health-care-related human-centered applications. These could include writing a compelling technical paper or a winning proposal for external funding, making a compelling oral presentation for a job interview or thesis defense, or presenting arguments to a CEO about strategic directions for a complex project. EECE 7345. Topics include basic computer arithmetic, approximation criteria, error analysis, nanoscale CMOS principles (PTMs), case studies, and experimental assessment. Course lectures will be available online for remote students. Wireless Communication Systems. Covers fundamentals including phasors, single-phase and balanced three-phase circuits, complex power, and network equations; symmetrical components and sequence networks; power transformers, their equivalent circuits, per unit notation, and the sequence models; transmission line parameters including resistance, inductance, and capacitance for various configurations; steady-state operation of transmission lines including line loadability and reactive compensation techniques; power flow studies including Gauss-Speidel and Newton Raphson interactive schemes; symmetrical faults including formation of the bus impedance matrix; and unsymmetrical faults including line-to-ground, line-to-line, and double line-to-ground faults. Master’s students can select from seven concentrations (listed below) to align their coursework with their career goals. Addresses a set of analytical and practical problems, with emphasis on a rigorous theoretical treatment of relevant questions. Probabilistic System Modeling and Analysis. EECE 7364. (Course materials and/or program fees may apply.) Provides a broad overview of power system operation and the role of state estimation in overall energy management. Emphasizes performance analysis of adaptive filters under nonstationary conditions; triangular covariance factorization; geometric derivation of RLS adaptive algorithms; a factual knowledge of some basic concepts concerning fundamentals of regularized least squares and the Kalman filter interpretation of the RLS algorithm; IIR (Laguerre-based) lattice configuration; and nonlinear adaptive filtering. Throughout the General Catalog, and in every class offered at National University, you will see a consistent focus on quality and an ongoing commitment to incorporating current subject matter into our curricula. Sofia Vanessa Benitez Quevedo, BS, electrical engineering, completed three co-ops near and far including iRobot as a systems engineer, Flex in California working on emerging tech on the internet of things, and Starry, a start up in Boston using cutting-edge technology for the next generation. Radio Frequency Integrated Circuit Design. EECE 5155. EECE 7352. Offers students an opportunity to fabricate micro- and nanoscale devices in integrated lab sessions. ECE 4140. EECE 7270. EECE 7258. ECE 4265. Advanced Power Electronics. 4 Hours. EECE 7996. Includes basic laws of probability, conditioning, and Bayes rule. Emphasizes recursive approaches, such as recursive least squares algorithm, where parameter estimates are updated in real time. Covers fundamentals of operating systems (OS) design, including theoretical, OS-generic design considerations as well as the practical, implementation-specific challenges in the development of a real OS. Not all courses in the catalog are offered every year. Seeks to provide students with the opportunity to develop an understanding of pn junctions, bipolar junction transistors, and MOSFETs. ECE 4155. Examines all subsystems that comprise an electric drive including electric machines, power electronic converters, mechanical system requirements, feedback controller design, and interactions with utility systems. Covers sampling and analysis tools for linear discrete-time dynamic systems, including the design of digital control systems using transform techniques by discrete equivalent and direct design methods; root locus, Bode and Nyquist diagrams, and Nichols charts; controller implementation issues, such as digital filter realizations, nonlinear effects due to quantization, round off, dead band, and limit cycles; and selection of the sampling rate. Getting disk space on the ECE departmental file server Requires an undergraduate course in communications systems. Microwave Engineering Laboratory. With four NSF- and DHS-funded research centers and over 20 industrial partners, faculty and students are actively conducting cutting-edge research in areas such as computer vision; pattern recognition and machine learning; brain-computer interface; power systems and power electronics; underwater communication networks and signal processing; robotics; information theory; communications, control, and signal processing; RF, electromagnetics, optics, and magnetic materials; micro/nanomechanical structures and advanced nanomaterials; power-first system/computer architecture; internet-of-things; ultra-low power biomedical and neural circuits and systems. 4 hours. Search catalog Submit. EECE 5552. The latter half of the course deals with an introduction to state-of-the-art electronic materials, including semiconductor nanoelectronics, magnetic semiconductors and Spintronics, molecular electronics, carbon nanotubes, conducting polymers, graphene and graphane, and other topics representing recent technological breakthroughs in the area of electronic materials. Computer vision is an exciting but disorganized field that builds on very diverse disciplines such as image processing, statistics, pattern recognition, control theory, system identification, physics, geometry, computer graphics, and learning theory. Special Topics in Power Electronics. ECE Assistant Professor Yanzhi Wang received multiple funding and gift awards from industry, including DiDi USA, Kwai USA, Snap Inc., Perception Inc., and Tencent USA. 1-4 Hours. Illustrates how these modeling techniques can be applied in modeling real systems and adaptive algorithms, including queueing systems, distributed systems, and online learning algorithms like stochastic gradient descent. 0 Hours. Emphasizes modern engineering applications of computer vision, graphics, and pattern classification methodologies for data visualization. EECE 7224. Advanced Computer Vision. Modern computers take advantage of multiple threads and multiple cores to accelerate scientific and engineering applications. Information Theory. NEU 201 or PSY 377 or BIO 339 or NEU 339 or BIO 340 or instructor consent is a prerequisite for this class. Reviews classic topics like Markov chains, convergence to a steady state, renewal processes, renewal reward processes, the strong law of large numbers, and the elementary renewal theorem. Power Management Integrated Circuits. 4 Hours. Antennas and Radiation. Recognizes that system complexities are growing exponentially, driven by ever-increasing application demands and technological advances that allow one to put complete multiprocessor systems on a chip (MPSoCs). Covers Cauchy’s integral and related theorems, Taylor and Laurent series, analytic continuation, and multivalued functions. Topics vary and include computer simulation, digital computer control, and use of CAD packages such as MATLAB for analysis and design of control systems. Presents analytical techniques such as basic queuing theory, queuing networks, optimization, stochastic control, and distributed algorithms. Focuses on how to think through and develop critical materials that have high-stakes impact. Topics include modeling and layout of CMOS, bipolar, BiCMOS devices, and passive components; DC building blocks, including precision current and voltage references; performance analysis of signal gain, impedances, and frequency response and speed of basic/compound amplifier structures; architectures of operational amplifiers, including low-voltage, OTAs, and three-stage designs; feedback and performance merits, topologies, instability, and frequency compensation of feedback amplifiers; nonlinear and analog computation IC functions; noise in ICs, physical origins and device modeling , noise circuit analysis, SNR and NF, and techniques for the enhancement of system noise performance. To carry out a term project and a team-based final project of considerable complexity audit utility for students team-based. In detail the finite difference methods to solve problems in electromagnetics using a range. 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