Despite a considerable corpus of knowledge about tools and techniques to protect systems, information about actual vulnerabilities and how they are exploited is not generally available. Introduces basic computational and mathematical techniques for modeling, simulating, and analyzing the performance by using simulation, including models, random-number generation, statistics, and discrete event-driven simulation. 4 Hours. Fundamentals of Nanoelectronics. EECE 7400. Presents computer modeling of linear and nonlinear power system components to be used in transient studies. 4 Hours. Topics may include modeling continuous and discrete dynamics, heterogeneous models, hybrid systems, stochastic models, models of computation, analysis and design of embedded control systems with applications in assistive robotics, system simulation, and validation and verification techniques. Covers topics from the course through various experiments. 4 Hours. EECE 7228. Analog Integrated Circuit Design. 4 Hours. Offered by the NSF Nanosystems Engineering Research Center for Translational Applications of Nanoscale Multiferroic Systems (TANMS) and co-taught by professors from UCLA, UC Berkeley, Cornell, California State University Northridge, and Northeastern University. Focuses on the theory of ordinary and partial differential equations of mathematical physics. EECE 5638. 4 Hours. Emphasizes problems that arise in the areas of electrical and computer engineering, including VLSI, computer-aided design, parallel computing, computer architecture, and high-performance compiling. Topics include vacuum technologies; vacuum pumps; vacuum system design and analysis; different thin film deposition technologies, including sputtering, chemical vapor deposition, electrochemical deposition, atomic layer deposition, etc. Northeastern University. Two Dimensional Signal and Image Processing. Starts with the formulation of typical forward problems in electromagnetic and acoustic wave field propagation and scattering, emphasizing biomedical and nondestructive testing applications, and continues with a survey of imaging methodologies including the so-called qualitative imaging methods. Applied Probability and Stochastic Processes. The primary educational missions of the electrical and computer engineering department are to educate undergraduate students so they have the opportunity to obtain successful careers in electrical and computer engineering and related disciplines, and pursue advanced study such as graduate study in engineering or related disciplines, and to educate graduate students so they can make meaningful contributions to research and industry. Diode rectifiers, phase-controlled rectifiers, and switch mode rectifiers and inverters are among the topics. Dissertation Continuation. Covers a range of algorithms, focusing on the underlying models between each approach. Topics include sources of the electromagnetic field, Lorentz force equation, integral form of Maxwell’s equations and point relations (differential equations and boundary conditions), electromagnetic energy and power, propagation of uniform and nonuniform plane waves in homogeneous media, reflection and refraction, scalar and vector potentials, solutions in the absence of boundaries for static and dynamic problems, solutions to boundary value problems, duality, uniqueness, images, physical theory of diffraction, and general theory of metal and dielectric wave-guides and resonators for Cartesian and cylindrical systems. ECE 4103. ECE Assistant Professor Xue “Shelley” Lin, in collaboration with Michigan State University Professors Xiaoming Liu and Sijia Liu, received $1M funding from DARPA for their project titled Intelligent Diagnosis for Machine and Human-Centric Adversaries. 4 Hours. Examines common types of power system faults. Arithmetic and Circuit Design for Inexact Computing with Nanoscaled CMOS. Topics are selected by the instructor and vary from semester to semester. Topics encompass the state-of-the-art research fronts such as hardware support for system security, hardware implementations of security primitives, physical attacks and tamper resistance, analysis and practices of side-channel attacks and countermeasures, security for RFID tags, physically unclonable functions, design for hardware trust, hardware Trojan detection and localization, etc. Analysis and Design of Data Networks. Covers Cauchy’s integral and related theorems, Taylor and Laurent series, analytic continuation, and multivalued functions. Offers a unified theoretical approach to the physics of image formation through scattering and wave propagation in sensing. EECE 5644. 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. 4 Hours. Power Systems State Estimation. Focuses on specific topics in nanophotonics, including silicon photonics; photonic crystals; plasmonics and optical metamaterials, with their diverse applications in optical circuits; imaging; optical trapping; biomedical sensing; and energy harvesting. Focuses on the physics, chemistry, and technology of integrated circuit fabrication in the lecture portion of the course, while students fabricate and test novel devices (an electrohydrodynamic micropump and three-dimensional carbon nanotube interconnects) in integrated lab sessions. 4 Hours. 4 Hours. 4 Hours. Emphasizes the connection between architecture and the underlying software that drives it. Studies machine learning (the study and design of algorithms that enable computers/machines to learn from experience/data). Seeks to prepare students to do research in machine learning. Parallel Processing for Data Analytics. Covers methods of digital simulation of power systems operating in the steady-state and transient conditions. For basic computational problems such as sorting, searching, elementary graph algorithms, shortest-paths problems, as well as flow problems in networks, many different algorithms and data structures are described and analyzed, implemented, and compared both from a theoretical and from an experimental point of view. Human Sensing and Recognition. Includes the principle of orthogonality, Wiener and Kalman filters, linear prediction, spectral factorization, the Yule-Walker equations, decimation and interpolation, Noble identities and polyphase representation, and maximally decimated filter banks. Mobile and Wireless Networking. Our goal is to ensure that the education you receive at National University is among the most relevant and rewarding in higher learning. Based on an integrative approach that requires minimal prerequisites: a junior-level course in signals and systems and some knowledge of electromagnetic field theory (possibly from physics classes), and does not require separate courses in electric machines, controls, or power electronics. Introduces the fundamental concepts of acoustics and sensing with waves. System Identification and Adaptive Control. Design of Analog Integrated Circuits with Complementary Metal-Oxide-Semiconductor Technology. Basic concepts include general definitions and network organization. Early Childhood Education (ECE) ECE 530 Preschool Curriculum/Methods 3 Credit hours Historical and contemporary curriculum and methods for preschool children with emphasis on current best practices. EECE 9000. 4 Hours. Requires solid knowledge of digital system design, integrated circuits synthesis flow, and embedded systems recommended. Requires a strong understanding of linear systems, transform techniques, and linear algebra. EECE 9990. Studies simulation and performance evaluation in computer systems. Classical crystal optics are extended to nonlinear effects observed with very intense electric and magnetic fields. ECE is home to experts in a variety of disciplines spanning the field of electrical and computer engineering. The goal here is to build drones that are energy efficient and safe to operate around humans. 4 Hours. EECE 5626. Covers accelerating scientific and other applications on computer clusters, many-core processors, and graphical processing units (GPUs). Statistical Inference: An Introduction for Engineers and Data Analysts. Discusses efficient matrix methods, relaxation methods, the conjugate gradient technique, and multidimensional Newton’s method in the context of electromagnetic field simulation. Performance analysis is another fundamental theme of this course. EECE 7203. Topics include the linear and nonlinear acoustic wave equation; sources of sound; reflection, refraction, transmission, and absorption; bearing and range estimation by sensor array processing, beam forming, matched filtering, and focusing; diffraction, bandwidth, ambient noise, and reverberation limitations; scattering from objects, surfaces, and volumes by Green’s theorem; forward scatter, shadows, Babinet’s principle, extinction, and attenuation; ray tracing and waveguides in remote sensing; and applications to acoustic, radar, seismic, thermal, and optical sensing and exploration. Note: Printed catalogs do not contain course descriptions. Requires good programming experience in Matlab or C++. 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. So far he’s had a co-op at Starry, an internet startup, and Amazon Robotics as a firmware engineer, and feels this experience will give him a decent leg up. Optical Properties of Matter. 0 Hours. The Graduate School of Engineering at Northeastern is a top-ranked and highly selective R1 research university, with an innovative educational approach that combines rigorous academics with experiential learning, including our signature cooperative education program. Classical Control Systems. Wireless Sensor Networks and the Internet of Things. 4 Hours. For course descriptions not found in the UC San Diego General Catalog 2019–20, please contact the department for more information. This is a security measure to protect our users against spoofed malware messages. Topics covered include parallel computer architecture, parallel programming models, and theories of computation, as well as models for many-core processing. Covers magnetism and magnetic materials, their applications in different industries, magnetic devices, and the frontiers of research activities on magnetism and magnetic materials. Northeastern’s ECE department is the host or major partner in nine state-of-the-art research centers. Microwave Circuit Design for Wireless Communication. 2001–2003 Catalog and Course Descriptions . EECE 5580. Requires a basic knowledge of calculus and linear algebra. 4 Hours. Through a mix of lectures and paper discussions, offers students an opportunity to learn how parallel computing systems work and review recent research related to scalability, energy efficiency, sustainability, resilience, and big data management. Graduate students may register for this course only if they did not complete an undergraduate course in digital signal processing; such graduate registration requires approval of instructor and an internal departmental petition. Covers theoretical analysis, practical design, and simulation of analog integrated circuits implemented in complementary metal-oxide-semiconductor (CMOS) fabrication process technologies. Then presents fundamentals of three-phase circuit analysis in the steady state, both for balanced and unbalanced operating conditions. Covers the state-of-the-art human-centered recognition technologies, including face/human detection, face/body tracking, face recognition, head/body pose estimation, expression recognition, body language recognition, gait analysis, hand/body/eye gesture, action/activity analysis, and so forth. ECE Assistant Professor Alireza Ramezani showcases his latest research on the development of Aerobat: a bioinspired bat with articulated wings. Offers students an opportunity to fabricate micro- and nanoscale devices in integrated lab sessions. Covers topics in advanced machine learning. Topics include, Apache Spark fundamentals, multithreaded/cluster execution, resilient distributed data structures, map-reduce operations, using key-value pairs, joins, convex optimization, gradient descent, linear regression, Gauss-Markov theorem, ridge and lasso regularization, feature selection, cross validation, variance vs. bias trade-off, classification, logistic regression, ROC curves and AUC, matrix and tensor factorization, graph-parallel algorithms and sparsity, Perceptron algorithm, and deep neural networks. EECE 7242. Delves into the protocol stack following a top-down approach, covering the application layer (with Internet applications); the transport layer, with its functions and services (e.g., the TCP protocol); the network layer, with a discussion on forwarding and routing and the IP protocol; and the data link layer, with an emphasis on multiaccess. Thesis Continuation. 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. 4 Hours. 4 Hours. Covers passive R, L, C, and active devices for ICs; broadband amplifiers, TIAs, limiters, buffers/drivers, muxes, and demuxes; circuit noise modeling and analysis and methods for optimization of SNR and BER, with applications to optical communication; baseband and HF filters; design methods of L-C, OTA-C, MOSFET-C, and switched-C filters; data conversion and D-A and A-D characteristics, popular DAC architectures, serial and parallel ADCs, and high-resolution techniques; clock generators and oscillators, L-C resonator-based designs, VCOs, PLLs and frequency synthesis, and CDR circuits. Special topics include spatial frequency reuse; call blocking and cellular system capacity; power control and hand-off strategies; channel access and sharing; orthogonal frequency division multiplexing (OFDM—a modulation technique used in WLAN and the fourth-generation [4G] cellular systems) and spread spectrum modulation (third-generation WCDMA systems); diversity techniques and multi-input multi-output (MIMO) signal processing. Scalable and Sustainable System Design. Microwave Engineering Laboratory. Also introduces students to the problems and current research in the provision of quality of service (QoS) in wireless networks. Emphasizes recursive approaches, such as recursive least squares algorithm, where parameter estimates are updated in real time. Administrative policies, academic curricula, and course descriptions. 4 Hours. 4 hours. 4 Hours. ECE 4209. EECE 5682. EECE 7244. Topics include high-performance scalable parallelization strategies for emerging computational applications from different science and engineering domains. Examines important electrodynamic applications by the use of advanced mathematical techniques. 4 Hours. PhD Candidacy Achieved. Touch base with your advisor to discuss which classes you should take in the next semester. 4 Hours. An ECE education prepares students for any technical career, a career in a related field, or graduate study. EECE 5161. ECE Fundamentals III. 4 Hours. 4 Hours. 4 Hours. EECE 5554. Covers Kalman filters and particle filters as applied to the SLAM problem. 4 Hours. 4 Hours. EECE 5649. Numerical Optimization Methods. Topics include atomic structure and bonding in materials, structure of materials, and crystal defects. Covers the language and practices of computer networking at all levels of various network protocol stacks. Enhances the underlying basic ideas that are essential for adaptive control. myNortheastern • EECE 7370. Covers transmission lines, impedance matching, S-parameters, high-frequency circuit analysis, power dividers, resonators, and filters. The course is leading designed by Dave Malouf and Spell Yu. Optimal and Robust Control. Explores differential signal processing, operational amplifiers, operational transconductance amplifiers, and common-mode feedback circuits. EECE 7399. Accompanies EECE 5684. It also creates a personal shopping cart for you. ECE 4140. 617.373.4431 (fax). Computer vision brings together imaging devices, computers, and sophisticated algorithms to solve problems in industrial inspection, autonomous navigation, human-computer interfaces, medicine, image retrieval from databases, realistic computer graphics rendering, document analysis, and remote sensing. 2000–2001 Catalog and Course Descriptions . Preparing High-Stakes Written and Oral Materials. Requires knowledge of undergraduate advanced calculus. Emphasis is on the interaction of electromagnetic waves and the crystal lattice. 4 Hours. ECE’s graduate program educates MS and PhD students with deep fundamental and practical knowledge in the various disciplines of electrical and computer engineering by offering a strong curriculum and providing opportunities for research in these disciplines. Computer Hardware Security. EECE 7323. 4 Hours. Includes an individual project where each student is expected to implement an application, port that application to several different styles of parallelism, and compare the results. Four ECE Students Selected as 2020-21 IEEE Power and Energy Society Scholars Electrical & Computer, Student Profiles PITTSBURGH (Dec. 14, 2020) … The Institute of Electrical and Electronics Engineers (IEEE) Power and Energy Society (PES) selected four students from the University of Pittsburgh Swanson School of Engineering for its 2020-21 Scholarship Plus Award. Offers analytical and/or experimental work leading to a written report and a final short presentation by the end of the semester. May be repeated without limit. ECE Assistant Professor Alireza Ramezani showcases his latest research on the development of Aerobat: a bioinspired bat with articulated wings. Presents methods to calculate fault currents and postfault bus voltages. Includes hands-on exercises and class exercises around challenges defined by the instructor or by guest lecturers. Emergency Information • Covers the fundamentals of parallel machine-learning algorithms, tailored specifically to learning tasks involving large data sets. 4 Hours. Emphasizes presenting fundamental concepts, essential mathematical formulas and theorems, and engineering applications. The PDF will include all information unique to this page. 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