BIOE 5115 and EECE 5115 are cross-listed. email@example.com; 617.373.2300; 617.373.5351 (fax); Mailing Address Northeastern University ATTN: Office of the Registrar, 230-271 See the current course offerings page for courses offered this semester. Lab hours are arranged. 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. Advanced Computer Vision. Topics include atomic structure and bonding in materials, structure of materials, and crystal defects. Offers analytical and/or experimental work conducted under the auspices of the department. Offers students an opportunity to obtain practical knowledge in computer vision and to develop skills for being a successful researcher in this field. Data Visualization. Topics include high-performance scalable parallelization strategies for emerging computational applications from different science and engineering domains. 4 Hours. 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. Topics include discrete signals and systems in 2D, digital images and their properties, image digitization, image enhancement, image restoration, image segmentation, feature extraction, object recognition, and pattern classification principles (Bayes rules, class boundaries) and pattern recognition methods. Probabilistic System Modeling and Analysis. myNortheastern • It attracts much attention due the increasing demand for the security, privacy, and health-care-related human-centered applications. Statistical and Adaptive Signal Processing. EECE 9000. 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. Studies cutoff rate and its communication system design. Topics covered include line-search and trust-region strategies, gradient descent and Newton methods and their variations, linear and quadratic programming, penalty-augmented Lagrangian methods, sequential quadratic programming, and interior point methods. EECE 5649. Introduction to Electrical and Computer Engineering. EECE 5115. Covers accelerating scientific and other applications on computer clusters, many-core processors, and graphical processing units (GPUs). Presents established numerical methods for iterative unconstrained and constrained optimization. Presents the fundamental theory and properties of antennas. Accompanies EECE 5580. 2020-21 Course Descriptions PDF, College of Professional Studies Undergraduate, University-Wide Academic Policies and Procedures, Electrical and Computer Engineering with Concentration in Communications, Control, and Signal Processing, MSECE, Electrical and Computer Engineering with Concentration in Computer Systems and Software, MSECE, Electrical and Computer Engineering with Concentration in Computer Networks and Security, MSECE, Electrical and Computer Engineering with Concentration in Computer Vision, Machine Learning, and Algorithms, MSECE, Electrical and Computer Engineering with Concentration in Electromagnetics, Plasma, and Optics, MSECE, Electrical and Computer Engineering with Concentration in Hardware and Software for Machine Intelligence, MSECE, Electrical and Computer Engineering with Concentration in Microsystems, Materials, and Devices, MSECE, Electrical and Computer Engineering with Concentration in Power Systems, MSECE, Electrical and Computer Engineering Leadership, MSECEL, Graduate School of Engineering Certificates, College of Social Sciences and Humanities, Gordon Institute of Engineering Leadership, Master of Science in Electrical and Computer Engineering Leadership (MSECEL), Concentration in Communications, Control, and Signal Processing, Concentration in Computer Systems and Software, Concentration in Computer Networks and Security, Concentration in Computer Vision, Machine Learning, and Algorithms, Concentration in Electromagnetics, Plasma, and Optics, Concentration in Hardware and Software for Machine Intelligence, Concentration in Microsystems, Materials, and Devices, Electrical and Computer Engineering Leadership, 2020-21 College of Professional Studies Undergraduate PDF. Requires concurrent registration in EECE 5581 for undergraduate students. Studies several classes of devices including inertial measurement devices, pressure sensors, rf components, and optical MEMS. 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. 0 Hours. Examines important electrodynamic applications by the use of advanced mathematical techniques. 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. Students will learn not only the current practice of the field, but also techniques for future learning that will enable them to … EECE 7368. Labs incorporate real field sensors and platforms. Students should consult their faculty adviser regarding these options. Designed to familiarize students with advanced power electronic circuits. Offers theoretical or experimental work under individual faculty supervision. Presents concepts with examples from modern optical systems such as LIDAR, fiber-optical sensors, range finders, infrared systems, and optical communication systems. EECE 7270. Offers dissertation supervision by members of the department. As time permits, discusses basic notions of estimation and properties of estimators, unbiased and minimum variance estimation, CRLB, sufficient statistics, consistency of estimators, basic notions of discrete and continuous-time random processes, mean and autocorrelation function, WSS and cyclo-stationary processes, ergodicity of random processes, and other topics. Offers students an opportunity to learn how the security of systems can be violated and how such attacks can be detected and prevented. 4 Hours. High-Performance Computing. 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. 2020-2021 Undergraduate Course Catalog Courses Print-Friendly Page (opens a new window) Facebook this Page (opens … 4 Hours. Introduces cadence tools for circuit simulations, physical layout, and layout verification. Presents computer modeling of linear and nonlinear power system components to be used in transient studies. 5 Credit Hours. 4 Hours. Reviews pertinent linear systems concepts and discusses connections with a geometric intuition relating quadratic optimization to projections. 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. 4 Hours. EECE 2160. Culminates with both an individual design project and a team-based final project of considerable complexity. ); quantum mechanics; and typical nanofabrication and characterization techniques. Select a Catalog Jan 07, 2021 HELP. Covers Kalman filters and particle filters as applied to the SLAM problem. NEU 201 or PSY 377 or BIO 339 or NEU 339 or BIO 340 or instructor consent is a prerequisite for this class. EECE 7242. Covers the foundations of algorithm analysis, including asymptotic notation and complexity theory, and a range of optimization techniques, including divide and conquer, local optimization, dynamic programming, branch and bound, simulated annealing, genetic algorithms, approximation algorithms, integer and linear programming, matroid theory, and greedy algorithms. 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. 617.373.7529 Scalable and Sustainable System Design. 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. Investigates the what (modeling), how (design), and why (analysis) of assistive robotics through the use of model-based design process. 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. Special Topics in Power Electronics. 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. 4 Hours. ECE's graduate program offers a Master of Science in Electrical and Computer Engineering, a Master of Science in Electrical and Computer Engineering Leadership, a Doctor of Philosophy in Electrical Engineering, and a Doctor of Philosophy in Computer Engineering. EECE 7258. 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. Introduces the fundamental concepts of acoustics and sensing with waves. 4 Hours. Dynamical Systems in Biological Engineering. 4 Hours. EECE 7296. 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. Discusses front-end circuit design considerations for low-noise amplifiers, mixers, oscillators, and power amplifiers. 4 Hours. Emphasizes the foundations to prepare students for research in machine learning. Then presents fundamentals of three-phase circuit analysis in the steady state, both for balanced and unbalanced operating conditions. Covers the fundamental elements of solid-state device physics and the application of these principles. The goal here is to build drones that are energy efficient and safe to operate around humans. EECE 7240. Early Childhood Education (MA or MEd) Graduate Master's College of Education. 4 Hours. 4 Hours. Thin Film Technologies. The ECE Department offers the opportunity for select undergraduate students to become actively engaged in research and development programs lead by our faculty and graduate students. Covers wireless standards, multiple-access techniques, and recent advances if time permits. Emphasizes practical robot applications ranging from disaster response to healthcare to space exploration. Covers a wide range of disciplines, from electronics to mechanics, material properties, microfabrication technology, electromagnetics, and optics. Topics may include kinematics, dynamics, numerical methods, state estimation, control, perception, localization and mapping, and motion planning for mobile robots. By reducing circuit complexity, critical path delay, and power dissipation at the expense of introducing processing errors in computation, inexact computing is one of the leading emerging paradigms in nanoscale computing. Examines the fundamental equations, their physical meaning, principal mathematical techniques, and important engineering applications. 4 Hours. Covers planar microwave circuits and integrated circuits (MMICs) for wireless communication systems. Presents many of the issues involved in the design and analysis of new and evolving computer architectures. 4 Hours. Big Data and Sparsity in Control, Machine Learning, and Optimization. May be repeated without limit. Introduction to Software Security. Introduces combinatorial optimization, an emerging field that combines techniques from applied mathematics, operations research, and computer science to solve optimization problems over discrete structures. 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. Lectures are supported by illustrative examples, hands-on exercises, and numerical implementations grounded in real-world examples. 4 Hours. 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. 1-4 Hours. Requires good programming experience in Matlab or C++. Northeastern University College of Engineering, Department of Electrical & Computer Engineering, Communications, Control & Signal Processing, Computer Vision, Machine Learning, and Algorithms, Bachelor of Science in Computer Engineering, Bachelor of Science in Computer Engineering & Computer Science, Bachelor of Science in Computer Engineering & Physics, Bachelor of Science in Electrical & Computer Engineering, Bachelor of Science in Electrical Engineering, Bachelor of Science in Electrical Engineering & Music, Bachelor of Science in Electrical Engineering & Physics, Master of Science in Electrical & Computer Engineering, Master of Science in Electrical & Computer Engineering Leadership, New Faculty Spotlight: Dimitrios Koutsonikolas, Wang Receives Multiple Funding and Gift Awards from Industry, $1M DARPA Grant for Intelligent Diagnosis for Machine and Human-Centric Adversaries. 4 Hours. Includes basic laws of probability, conditioning, and Bayes rule. Students are expected to present their results and findings and submit a written report. Covers theoretical analysis, practical design, and simulation of analog integrated circuits implemented in complementary metal-oxide-semiconductor (CMOS) fabrication process technologies. Reviews applications of complex variable theory drawn from optics and electromagnetic theory and from digital signal processing and digital communications. Also discusses the applications of algorithm analysis and complexity theory to analyzing and solving problems. High-Level Design of Hardware-Software Systems. Also introduces students to the problems and current research in the provision of quality of service (QoS) in wireless networks. Accompanies EECE 5684. May be repeated without limit. Introduction to Multiferroics Materials and Systems. Investigates the emerging field of humanoid robotics. It may be helpful to save a copy of your audit to reference during registration. 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. Diode rectifiers, phase-controlled rectifiers, and switch mode rectifiers and inverters are among the topics. The second part deconstructs a compiler back end, based on structural analysis, multistage optimizations, and assembly code generation. 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. Methodology includes lectures, textbooks, and emphasis on readings from relevant literature. 4 Hours. Covers the structure and implementation of a modular compiler. EECE 5645. Mobile and Wireless Networking. 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. EECE 5610. Srinivas Tadigadapa, PhD Professor and Chair. 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. Finishes with design and performance of microwave oscillators. Covers basic programming and analysis methods and the formulation and solution of a wide range of computer engineering problems. 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. Optimization problems arise ubiquitously in all areas of engineering and science. EECE 7247. Overview. 4 hours. Computer security problems have a significant impact on practical aspects of our lives. Additional topics include the asymptotic behavior of probabilistic systems, including stochastic approximation/Robbins-Monro type algorithms, and ODE/fluid limits. Students are asked to carry out a term project and deliver a presentation about its outcome. Discusses in detail the finite difference approximations of partial differential equations and the finite difference time-domain method of simulating electromagnetic wave propagation and scattering. Covers topics from the course through various experiments. 4 Hours. Presents an abundance of examples, models, tables, and guidelines to clearly examine new aspects of state estimation, the testing of network observability, and methods to assure computational efficiency. 360 Huntington Ave., Boston, Massachusetts 02115 • … EECE 7226. EECE 7245. Find Faculty & Staff • 4 Hours. Requires solid knowledge of digital system design, integrated circuits synthesis flow, and embedded systems recommended. Reviews communication system basics, modulation and demodulation, architectures of receivers and transmitters, and system performance. 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. 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. 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. Administrative policies, academic curricula, and course descriptions. Advanced Power Electronics. Covers simple adaptive systems, adaptive observers, and adaptive control. The goal of computer vision is to make useful decisions about real physical objects and scenes based on sensed images. 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. Course lectures will be available online for remote students. NEU 310 | SEMINAR IN NEUROPSYCHOPHARMACOLOGY | 4 quarter hours (Undergraduate) Digital Signal Processing. Options. Offers a unified theoretical approach to the physics of image formation through scattering and wave propagation in sensing. ECE MAT Handbook; ECE Practicum II & Student Teaching Handbook /Academics & Experiential Learning / Graduate School of Engineering / Graduate Admissions Graduate Admissions. Highlights implementation of computer arithmetic and how it varies on different computer architectures. 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.
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