EECE 7245. ); quantum mechanics; and typical nanofabrication and characterization techniques. Offers students an opportunity to learn where and how to apply machine learning algorithms and why they work. Reviews communication system basics, modulation and demodulation, architectures of receivers and transmitters, and system performance. EECE 5686. See the current course offerings page for courses offered this semester. Primarily covers both classic and timely techniques in the area of performance evaluation, including capacity planning to predict system performance, scheduling, and resource allocation in computer systems. Covers theoretical analysis, practical design, and simulation of analog integrated circuits implemented in complementary metal-oxide-semiconductor (CMOS) fabrication process technologies. 2000–2001 Catalog and Course Descriptions . Overview. 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. 4 Hours. Begins with a brief but rigorous treatment of geometric optics, including matrix methods, aberrations, and pupils and windows, with practical examples of optical instruments and electro-optical systems. The goal of the field of computer vision is to make useful decisions about real physical objects and scenes based on sensed images. Extraction of useful information from noisy observations and informed decision making are at the core of multiple disciplines ranging from traditional communications and sensor array processing to biomedical data analysis, pattern recognition and machine learning, security and defense, and financial engineering. 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. 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. EECE 5652. 0 Hours. Presents state-of-the-art methods, tools, and techniques for system-level design and modeling of complete multiprocessor systems from specification down to implementation across hardware-software boundaries. Presents computer modeling of linear and nonlinear power system components to be used in transient studies. Seeks to provide students with the opportunity to develop an understanding of pn junctions, bipolar junction transistors, and MOSFETs. Students are asked to carry out a term project and deliver a presentation about its outcome. 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. 4 Hours. Lab hours are arranged. 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. Presents analytical techniques such as basic queuing theory, queuing networks, optimization, stochastic control, and distributed algorithms. ECE MAT Handbook; ECE Practicum II & Student Teaching Handbook Examines the actual sensors and mathematical techniques for robotic sensing and navigation with a focus on sensors such as cameras, sonars, and laser scanners. 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. Examines the fundamentals of two-dimensional signal processing, with emphasis on image processing. The department has strong ties to local industry and the world-famous hospitals and medical centers of Boston and is involved in many joint research projects with them. Discusses synchronization systems, analysis of PLL in the presence of noise, methods of timing recovery, channel capacity, and Shannon’s noisy channel coding theorem. Identification is the process of mathematically modeling a system based on measurement data that may be limited or uncertain. Covers topics from the course through various experiments. 4 Hours. EECE 7390. Fundamentals of Computer Engineering. 4 Hours. Introduces processing and analysis of digital images with the goal of recognition of simple pictorial patterns. System-level design that jointly covers hardware and software is one approach to address the associated complexities in the design process and the market pressures. Modern computers take advantage of multiple threads and multiple cores to accelerate scientific and engineering applications. Covers the language and practices of computer networking at all levels of various network protocol stacks. EECE 7310. Explores optimal receiver design and probability of error derivation for various systems. 4 Hours. Covers design and modeling of architectures, communication protocols, and algorithms for wireless sensor networks. EECE 7204. EECE 7393. 4 Hours. Introduces basic concepts and recent developments in nanophotonic materials and devices. Covers magnetism and magnetic materials, their applications in different industries, magnetic devices, and the frontiers of research activities on magnetism and magnetic materials. 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. Addresses topics of hypothesis testing, Bayesian principles, multiple hypotheses and composite hypothesis testing, test power and uniformly powerful tests, likelihood functions, sufficient statistics, optimal estimation, bounds on the estimator variance, minimum variance linear estimation, prediction and regression, interval estimation, and confidence. Enhances the underlying basic ideas that are essential for adaptive control. Requires an undergraduate course in communications systems. Using system-level design languages (e.g., SpecC, SystemC), offers students an opportunity to specify, simulate, analyze, model, and design hardware-software systems based on examples of typical embedded applications. EECE 5627. 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. Two Dimensional Signal and Image Processing. Dissertation Term 2. Data Visualization. Course material includes state-of-the-art in the field, current research trends, and algorithms and their applications, with an emphasis on the mathematical methods used. 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. Website. Electromagnetic Theory 1. EECE 5638. Reviews pertinent linear systems concepts and discusses connections with a geometric intuition relating quadratic optimization to projections. Topics include atomic structure and bonding in materials, structure of materials, and crystal defects. 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. 4 Hours. Requires knowledge of undergraduate advanced calculus. 2020-21 Undergraduate PDF ECE 187. EECE 7284. 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. 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. 4 Hours. An ECE education prepares students for any technical career, a career in a related field, or graduate study. 4 Hours. EECE 9991. No special characters allowed. 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. Studies various control methods, design trade-offs, and performance metrics in the context of an SoC. Provides an introduction to the theoretical analysis and modeling of dynamical systems in biology, ranging from molecular to population applications. 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. 409 Dana Research Center 617.373.7529 617.373.4431 (fax) . Covers fundamentals of probability and stochastic processes with applications to estimation and queuing theory. Topics include basic computer arithmetic, approximation criteria, error analysis, nanoscale CMOS principles (PTMs), case studies, and experimental assessment. EECE 7242. The University Catalog provides a listing of degree requirements for each program, and the DARS system provides a degree audit utility for students. Requires proficiency in the C programming language, the GNU tool set for C programming, and debugging in Unix operating systems. Examines fundamental principles of wireless system design, focusing on modern techniques used in cellular systems and wireless local area networks. Getting disk space on the ECE departmental file server Numerical Optimization Methods. 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. Students will learn not only the current practice of the field, but also techniques for future learning that will enable them to … Studies cutoff rate and its communication system design. Includes lectures on different magnetic sensors—including AMR, GMR, TMR, fluxgate, magnetoelectric sensors, etc.—and on microwave magnetic devices—including tunable filters, phase shifters, isolators, circulators, etc. If time permits, covers three-phase ac-ac converters and soft switching techniques, as well. 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. 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. 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. 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. EECE 5698. Statistical and Adaptive Signal Processing. Optimization problems arise ubiquitously in all areas of engineering and science. 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. 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. EECE 9996. Students have the option to participate in a hands-on co-op experience through the Master of Science in Information Systems. Radio Frequency Integrated Circuit Design. Provides a broad overview of power system operation and the role of state estimation in overall energy management. Offers an up-to-date account of the strategies utilized in state estimation of electric power systems. EECE 7312. Also discusses the applications of algorithm analysis and complexity theory to analyzing and solving problems. Focuses on the theory of ordinary and partial differential equations of mathematical physics. Presents materials in the current machine learning literature. EECE 7296. 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. 617.373.7529 4 Hours. EECE 7271. Course lectures will be available online for remote students. This option results in an increase in total hours beyond that required for the master's degree only. 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). 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. 4 Hours. Methodology includes lectures, textbooks, and emphasis on readings from relevant literature. Northeastern University. Covers the structure and implementation of a modular compiler. EECE 5640. CS 7140 and EECE 7397 are cross-listed. Focuses on the various building blocks of analog circuits, their operation, and the underlying principles and techniques, with analysis supplemented by CAD simulation. These topics lay a foundation for thermal and electronic conduction, which is the underlying physics of electronic devices. Microwave Circuit Design for Wireless Communication. Advanced Computer Vision. Concludes with current topics including networks analysis/modeling, physical layer/cross-layer design, emerging technologies, and mobility. 4 Hours. Acoustics and Sensing. EECE 5666. Microwave Engineering Laboratory. Thesis Continuation. ECE Assistant Professor Alireza Ramezani showcases his latest research on the development of Aerobat: a bioinspired bat with articulated wings. Also introduces students to the problems and current research in the provision of quality of service (QoS) in wireless networks. EECE 5552. Coverage includes security and trust issues in all types of electronic devices and systems, such as ASICs, COTS, FPGAs, microprocessors/DSPs, and embedded systems. Find Faculty & Staff • EECE 5644. 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. Students who do not meet course prerequisites may seek permission of instructor. Covers Kalman filters and particle filters as applied to the SLAM problem. 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. Introduces emerging energy-harvesting techniques for IC design. Topics may include kinematics, dynamics, numerical methods, state estimation, control, perception, localization and mapping, and motion planning for mobile robots. Starts with a detailed description of three-phase modeling of basic power system elements such as transmission lines, transformers, and generators. EECE 7374. Covers introduction to multiferroics, atomic structure of multiferroics (chemistry), multiferroic material science, continuum-level analysis of multiferroic materials, and multiferroic devices. Computer Architecture. Comprises the theory of functions of a complex variable. High-Performance Computing. Topics include difference and differential equation models, with basic theory including nondimensionalization, steady states, linearization, stability, eigenvalues, global behavior, singular perturbations, multistability, hysteresis, cooperativity, periodic solutions, excitable systems, bifurcations, and an introduction to spatial (PDE) models. Students enrolled in ECE 185 will receive four units of credit; students enrolled in ECE 241BL will receive two units of credit. EECE 5645. ECE is one of the highest paid degrees. Other topics include coding systems, linear block codes, soft and hard decision decoding, performance of linear block codes, cyclic codes, convolutional codes, Viterbi decoding, error probability bounds, concatenated codes, MAP decoding, Trellis code modulation, communication over band-limited channels, ISI, Nyquist conditions, raised cosine signaling, partial response signaling, equalization techniques, linear adaptive equalization, decision feedback equalizers, maximum likelihood sequence detection, and communication over fading channels. fkamrank, amoharrer, ioannidis, eyehg@ece.neu.edu Abstract—We introduce the problem of optimal congestion control in cache networks, whereby both rate allocations and content placements are optimized jointly. 4 Hours. Computer Hardware Security. Explores differential signal processing, operational amplifiers, operational transconductance amplifiers, and common-mode feedback circuits. High-Level Design of Hardware-Software Systems. EECE 7247. Wireless Sensor Networks and the Internet of Things. 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. 4 Hours. Solid State Devices for Renewable Energy Conversion. Complex Variable Theory and Differential Equations. Beyond covering the theory behind statistical data analysis, the course also offers a hands-on approach, using Spark as a development platform for parallel learning. Analysis of Unbalanced Power Grids. Includes hands-on exercises and projects. 4 Hours. Discusses phase plane analysis for nonlinear systems. 4 Hours. Statistical Inference: An Introduction for Engineers and Data Analysts. 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. Parallel Processing for Data Analytics. Employs microwave CAD tools in design projects as well as in-class case-study examples. 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. EECE 7996. 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. Introduces fundamental concepts and approaches for the analysis and design of data networks. EECE 7258. 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. Diode rectifiers, phase-controlled rectifiers, and switch mode rectifiers and inverters are among the topics. Computer vision is an exciting field that builds on very diverse disciplines such as image processing, statistics, pattern recognition, control theory and system identification, physics, geometry, computer graphics, and machine learning. Introduces cadence tools for circuit simulations, physical layout, and layout verification. Covers common programming, configuration, and design mistakes and examines possible protection and detection techniques.Uses examples to highlight general error classes. EECE 5115. Special Topics in Electrical and Computer Engineering. EECE 7370. 4 Hours. Antennas and Radiation. 4 Hours. 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. ECE 4103. EECE 5360. Focuses on fundamental concepts of computer networks with a particular focus on the Internet. Covers special topics in electrical and computer engineering. 4 Hours. Covers wireless standards, multiple-access techniques, and recent advances if time permits. Combinatorial Optimization. Includes a series of tightly related assignments, which guide students through the implementation of a fully functional LLVM-based compiler from the ground up. EECE 5612. Srinivas Tadigadapa, PhD Professor and Chair. 0 Hours. Official curriculum can be found within the course catalog. Develops series solutions of ordinary differential equations of second order using the tools of complex variable theory. 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. 4 Hours. EECE 5161. Includes hands-on exercises and class exercises around challenges defined by the instructor or by guest lecturers. Classical Control Systems. Electromagnetic Theory 2. 4 Hours. Advanced Magnetic Materials—Magnetic Devices. 4 Hours. EECE 7337. Optimal and Robust Control. 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. Topics include equivalence, reciprocity, uniqueness, Huygen’s principle, antenna impedance, and diffraction; linear, loop, array, and aperture antennas including horns, reflectors, lenses, and microstrip; transmitting and receiving antennas and transmission formulas; and numerical antenna analysis methods. It may be helpful to save a copy of your audit to reference during registration. Covers methods of digital simulation of power systems operating in the steady-state and transient conditions. EECE 7397. Devotes the last third of the semester largely to projects involving design of MEMS devices to specifications in a realistic fabrication process. 4 Hours. ECE 115. EECE 7400. Offers dissertation supervision by members of the department. Building up on his past experience with such robots, the Aerobat’s design integrates electronics in flexible-soft wings along with a compact transmission which results in an extremely small and lightweight package. EECE 7376. Also provides a survey of the current state of the art in processor architectures and provides additional readings from recent research in the field. Requires a working knowledge of C programming language. 4 Hours. Studies machine learning (the study and design of algorithms that enable computers/machines to learn from experience/data). Emphasizes presenting fundamental concepts, essential mathematical formulas and theorems, and engineering applications. 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. ECE Assistant Professor Alireza Ramezani showcases his latest research on the development of Aerobat: a bioinspired bat with articulated wings. 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