EECE 7345. Cyber Security Practicum. Discusses phase plane analysis for nonlinear systems. Covers Cauchy’s integral and related theorems, Taylor and Laurent series, analytic continuation, and multivalued functions. EECE 5698. EECE 5610. Introduction to Microelectromechanical Systems (MEMS). Designed to familiarize students with advanced power electronic circuits. Presents established numerical methods for iterative unconstrained and constrained optimization. Develops series solutions of ordinary differential equations of second order using the tools of complex variable theory. 4 Hours. Topics include general theory of wave-guides and resonators with application to the cylindrical geometry; dielectric rod wave-guide; optical fibers; radiation; linear antennas; loop antenna; linear arrays; ray optics; scattering and diffraction of waves for planar, cylindrical, and spherical geometries; and effects of random media. Topics include practical examples based on LLVM, a popular intermediate language specification and tool chain. Focuses on data center scale system design issues. Download Catalog PDF Files. Investigates the science and engineering of mobile robots. Touch base with your advisor to discuss which classes you should take in the next semester. Considers special functions of mathematical physics using generating functions, Taylor and Laurent expansions, and various integral representations. Reviews methods for dealing with both large and high-dimensional data sets, emphasizing distributed implementations. 4 Hours. 4 Hours. Printed Copy of Catalogs: A bound, printed copy of the Northeastern University catalogs (undergraduate, graduate, and College of Professional Studies undergraduate) may be purchased from NU Reprographics. Covers design and modeling of architectures, communication protocols, and algorithms for wireless sensor networks. Complex Variable Theory and Differential Equations. Autonomous Field Robotics. 0 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. Uses moment methods to solve the integral equations related to currents and charges on wire structures. Topics may include humanoid designs, software and hardware architectures, sensing and perception, motion planning and control, high-level task planning and control, grasping and manipulation, benchmarking, and experimental methods. Optimization problems arise ubiquitously in all areas of engineering and science. 4 Hours. Provides an introductory graduate course in optics, presenting the engineering concepts necessary to understand and evaluate electro-optical systems. A project is assigned that involves the creation of a trace-driven simulation model to study the performance of various hardware or software architectural features. Includes hands-on exercises and class exercises around challenges defined by the instructor or by guest lecturers. 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. At Northeastern, the Master of Science, MS, degree in Electrical and Computer Engineering can be pursued full-time or part-time. Embedded Design: Enabling Robotics. Also covers broadcast channels, superposition coding, and the capacity region of the degraded broadcast channel; performance and comparison of TDMA, FDMA, and CDMA systems from a theoretical point of view; capacity issues for time-varying channels and channels with memory; relation between information theory and statistics; Stein’s lemma; and large deviation theory. Seeks to provide students with the opportunity to develop an understanding of pn junctions, bipolar junction transistors, and MOSFETs. Advanced Computer Vision. Radio Frequency Integrated Circuit Design. Emphasizes practical robot applications ranging from disaster response to healthcare to space exploration. May be repeated without limit. EECE 7244. Accompanies EECE 5580. Covers the practical aspects of control systems design through lab experiments. Coverage includes security and trust issues in all types of electronic devices and systems, such as ASICs, COTS, FPGAs, microprocessors/DSPs, and embedded systems. 4 Hours. Introduces radio frequency (RF) integrated circuit analysis, design, and simulation methods with an emphasis on CMOS implementations. Accompanies EECE 5684. Power Systems Analysis 1. Electromagnetic Theory 2. Covers biomedical optics and discusses the theory and practice of biological and medical applications of lasers. Accompanies EECE 5680. Topics include tools and techniques for practical visualization and elements of related fields, including computer graphics, human perception, computer vision, imaging science, multimedia, human-computer interaction, computational science, and information theory. EECE 5686. EECE 7200. 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. 0 Hours. Presents the foundations for understanding the new and evolving area of hardware security and trust, which have become major concerns for national security over the past decade. 4 Hours. EECE 9990. Discusses front-end circuit design considerations for low-noise amplifiers, mixers, oscillators, and power amplifiers. Basic concepts include general definitions and network organization. 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. ECE … 1-4 Hours. Search catalog Submit. Please note that the COE / ECE mail system will reject any messages with a From: address ending in @ece.neu.edu or @coe.neu.edu, unless they actually originate from the COE SMTP server smtp.coe.neu.edu. Discusses in detail two major adaptive schemes, model reference adaptive control (MRAC) and self-tuning regulators (STR). ECE 115. Emphasizes linear quadratic optimization, H2 control, H-infinity control, and mu-synthesis. ECE is one of the highest paid degrees. Presents the theory and practice of modern signal processing techniques. Compilers for Modern Computer Architectures. Covers topics from the course through various experiments. Students are asked to carry out a term project and deliver a presentation about its outcome. Expects students to read conference and journal articles, present these articles, and write an individual research paper. 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. Offers students an opportunity to learn where and how to apply machine learning algorithms and why they work. EECE 7996. EECE 7213. 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. Presents power management circuits with a focus on modern system on a chip (SoC). ECE 4103. Focuses on performance of CMOS and BiCMOS implementations of building blocks for these systems. Review your curriculum. ECE is home to experts in a variety of disciplines spanning the field of electrical and computer engineering. Mobile and Wireless Networking. The course relies on the use of Matlab in projects. Solid State Devices for Renewable Energy Conversion. Topics include high-performance scalable parallelization strategies for emerging computational applications from different science and engineering domains. This is a security measure to protect our users against spoofed malware messages. 4 Hours. 4 Hours. Thin films are fundamental building blocks for integrated circuits chips, microelectromechanical systems (MEMS) devices, and nanoelectromechanical system devices (NEMS), etc., and play critical roles in determining the performance of IC circuits, MEMS, and NEMS devices. Addresses a set of analytical and practical problems, with emphasis on a rigorous theoretical treatment of relevant questions. Successful students should be able to understand the design trade-offs in designing, engineering, and operating large-scale parallel computing systems. Focuses on the various building blocks of analog circuits, their operation, and the underlying principles and techniques, with analysis supplemented by CAD simulation. Computational Methods in Electromagnetics. Also introduces students to the problems and current research in the provision of quality of service (QoS) in wireless networks. Antennas and Radiation. Modeling and Simulation of Power System Transients. Overview. EECE 5627. 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. Examines important electrodynamic applications by the use of advanced mathematical techniques. Find Faculty & Staff • Covers all aspects of VLSI design and engineering including VLSI design methodology; MOS transistors and circuits; CAD tools to create, extract, simulate, and evaluate physical layouts; CMOS fabrication process; evaluation and optimization of circuit area, power consumption, and propagation delay; CAD tools to design CMOS systems with standard cells; system clocking design and evaluation; the characteristics and limitations of CAD tools, such as simulation, placement, and routing; VLSI testing, fault models, test vector generation, and design for testability; design projects going through a complete VLSI design cycle; and a research project targeting a specific area of VLSI engineering. EECE 7271. EECE 7226. Mobility of devices and end-users has behavioral implications at all layers of the Internet protocol stack, from the MAC layer up through the application layer. Treats the analysis and design of analog ICs, their functional performance, and applications. Introduces fundamental theoretical and algorithmic concepts behind numerical optimization theory for objective functions with finite numbers of parameters. Note: Printed catalogs do not contain course descriptions. ; and different thin film characterization technologies, in particular the magnetic thin film characterization technologies, including VSM, PPMS, FMR, MOKE, etc. Covers advanced issues in designing high-performance computing and data storage systems. May be repeated once. Focuses on the theory of ordinary and partial differential equations of mathematical physics. Provides a broad overview of power system operation and the role of state estimation in overall energy management. Topics include pipelining, superscalar, out-of-order execution and completion, data flow, caching, prefetching, virtual memory, RAID, and ATM switching. EECE 7370. 4 Hours. EECE 5649. 4 Hours. Advanced Power Electronics. Includes hands-on exercises and projects. Offers students an opportunity to gain a thorough understanding and working knowledge of FIR Wiener filtering, linear prediction, and autoregressive model matching; autocorrelation estimation and the deterministic least squares method; LMS and RLS adaptive filters; order recursive (triangular and lattice) architectures; and beamforming in antenna arrays. Covers the fundamental elements of solid-state device physics and the application of these principles. Concepts of electrical and computer engineering including: ciruit analysis, fundamental electromagnetics, electronic devices, sensors, communication, digital logic, programming, numerous practical applicaitons; laboratory. Reviews communication system basics, modulation and demodulation, architectures of receivers and transmitters, and system performance. 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. Seeks to prepare students to do research in machine learning. Analog Integrated Circuit Design. Requires solid knowledge of digital system design, integrated circuits synthesis flow, and embedded systems recommended. Computer Hardware Security. Students who do not meet course prerequisites may seek permission of instructor. EECE 7376. 4 Hours. Electrical Machines. Requires a good understanding of linear systems, transform techniques, linear algebra, and random processes. 4 Hours. Information Theory. 4 Hours. Statistical Inference: An Introduction for Engineers and Data Analysts. Discusses use of transient simulation programs for design and analysis of power systems. EECE 7150. 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. 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). EECE 7352. Covers Kalman filters and particle filters as applied to the SLAM problem. Includes attendance at Distinguished Lecture Series (DLS). Students enrolled in a master's degree have the opportunity to also pursue one of the many engineering graduate certificate options in addition to or in combination with the MS degree. 4 Hours. Topics include rate distortion theory, feedback in one-way channels, Slepian-Wolf coding of correlated information sources, source coding with side information at the receiver, multiple access channel and its capacity region, and the capacity region of the Gaussian multiple access channel. ECE Fundamentals III. 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. Discusses basic properties of entropy and mutual information, Shannon’s fundamental theorems on data compression and data transmission in the single-user case, binning, and covering lemmas. EECE 7201. Aligned with Northeastern's vision for interdisciplinary, collaborative discovery, the Department of Electrical and Computer Engineering is leading two new university-wide research institutes, including the Institute for the Wireless Internet of Things, and the Institute for Experiential Robotics. EECE 7245. Offers theoretical or experimental work under individual faculty supervision. Analysis methods include the evaluation of linearity, noise, stability, and device mismatches from process variations. Studies various control methods, design trade-offs, and performance metrics in the context of an SoC. Lectures are supported by illustrative examples, hands-on exercises, and numerical implementations grounded in real-world examples. Emphasizes modern engineering applications of computer vision, graphics, and pattern classification methodologies for data visualization. Introduces the fundamental techniques and protocols in first- and second-generation, and emerging third-generation, wireless systems. registrar@northeastern.edu; 617.373.2300; 617.373.5351 (fax); Mailing Address Northeastern University ATTN: Office of the Registrar, 230-271 EECE 7228. Topics include fundamentals of Lyapunov theory; absolute stability, passivity, averaging, singular perturbation, input-output stability, and other advanced stability topics; describing functions; nonlinear control methods based on linearization, feedback linearization, sliding control, Lyapunov, and passivity and center manifold theory and bifurcations. Requires good programming experience in Matlab or C++. Requires working knowledge of C/C++, algorithms, and data structures. EECE 5626. This will be used to identify you in case your account is shared. EECE 7237. 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. Students will learn not only the current practice of the field, but also techniques for future learning that will enable them to … Introduction to Electrical and Computer Engineering. Wireless Sensor Networks and the Internet of Things. Examples emphasize concepts introduced in EECE 5580, such as system response to stimuli, stability, and robustness. Covers common programming, configuration, and design mistakes and examines possible protection and detection techniques.Uses examples to highlight general error classes. 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 5580. Additional topics include the asymptotic behavior of probabilistic systems, including stochastic approximation/Robbins-Monro type algorithms, and ODE/fluid limits. EECE 7270. EECE 5161. Discusses fundamental issues of adaptive identification and control, such as stability of adaptive systems, convergence, persistent excitation, and robustness. Requires concurrent registration in EECE 5581 for undergraduate students. Examines the fundamentals of two-dimensional signal processing, with emphasis on image processing. Examines the role of software and hardware in the design and use of real autonomous systems, including autonomous cars, autonomous underwater vehicles, and unmanned aerial systems. EECE 7284. 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. Linear Systems Analysis. May be repeated up to four times. Presents solutions to problems in electromagnetics using a wide variety of numerical and computational methods. ECE 4265. EECE 5641. 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. ECE 4209. Offers continued dissertation work conducted under the supervision of a departmental faculty member. RF Circuit Design and Wireless Systems. Topics include magnetics units, magnetic materials classification, origin of ferromagnetism and ferrimagnetism, magnetic anisotropies, magnetostriction, magnetic domain theory, ferromagnetic/ferrimagnetic resonance, soft magnetic materials, hard magnetic materials, applications of magnetic materials, information storage, and leading-edge research. Covers topics from the course through various experiments. Presents computer modeling of linear and nonlinear power system components to be used in transient studies. 2020-21 College of Professional Studies Undergraduate PDF Covers simple adaptive systems, adaptive observers, and adaptive control. Requires a basic knowledge of calculus and linear algebra. Advanced Machine Learning. Offers theoretical and/or experimental work conducted under the auspices of the department. Acoustics and Sensing. Topics include modeling of information sources; entropy; rate distortion function; lossless and lossy source coding theorems; Huffman coding; Lempel-Ziv algorithm; scalar and vector quantization; digital modulation schemes and their spectral characterization including PAM, MPSK, QAM, OQPSK, MSK, pi/4-QPSK, CPFSK, CPM, and GMSK; and orthogonal, biortogonal, and simplex signaling. EECE 5606. Students have the option to participate in a hands-on co-op experience through the Master of Science in Information Systems. Topics include cellular system, medium access control protocols for wireless systems, mobility management and signaling within mobile networks, common air interfaces (AMPS, IS-136, IS-95, or GSM), wireless data networking (CDPD), ad hoc networks, Bluetooth, Mobile IP, and PCS systems. Includes a number of practical lab assignments that require students to apply their knowledge, as well as engage in a discussion of the current research in the field. 4 Hours. If time permits, covers three-phase ac-ac converters and soft switching techniques, as well. Programming is done in variants of the C programming language. Provides ample examples to ensure participants are given an opportunity to fully appreciate the power of the techniques described and to gain extensive experience in the area of high-frequency circuits, from theory formulation to novel engineering designs. Optical Properties of Matter. System models are essential to four key aspects of the assistive robot design process: derivation of executable specifications, hardware and software design based on simulations, implementation by code generation, and continuous testing and verification. Covers the issue of handling large data sets and sparsity priors, presenting very recently developed techniques that exploit a deep connection to semi-algebraic geometry, rank minimization, and matrix completion. Considers the efficient generation of optimal solutions, the development and evaluation of heuristics, and the computation of tight upper and lower bounds. EECE 5552. Solid State Devices. 4 Hours. ); quantum mechanics; and typical nanofabrication and characterization techniques. Continues EECE 7202. The first part of the course covers general aspects of wireless sensor networking, including protocol design, modeling, and simulation at all layers of the communication stack. 4 Hours. 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. EECE 9996. 2020-21 Undergraduate PDF 2020-21 College of Professional … Requires an undergraduate course in communications systems. Concentrates on silicon IC technology but also includes examples from other materials and device systems including microelectromechanical (MEMS) technologies that are used to build devices such as accelerometers, pressure sensors, and switches for telecommunications and other current examples provided from nanofabrication and nanotechnology. Offers students an opportunity to obtain a fundamental understanding of the property and manipulation of light at the nanoscale. 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. Examines common types of power system faults. Office of the University Registrar. 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. EECE 7393. The second part covers dynamics and control of this class of systems, enabling students to design controllers for a variety of power converters and motion control systems. 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