Scalable and Sustainable System Design. 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. The second part covers standardization efforts, including Bluetooth, IEEE 802.15.4 and Zigbee, RFID, 6LowPan, and Internet of Things, among others. 4 Hours. Includes attendance at Distinguished Lecture Series (DLS). EECE 7226. Discusses in detail two major adaptive schemes, model reference adaptive control (MRAC) and self-tuning regulators (STR). EECE 5552. May be repeated without limit. 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. Microwave Circuit Design for Wireless Communication. 4 Hours. 4 Hours. CS 7140 and EECE 7397 are cross-listed. 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. EECE 7337. 4 Hours. Studies simulation and performance evaluation in computer systems. Offers theoretical and/or experimental work conducted under the auspices of the department. System Identification and Adaptive Control. High-Performance Computing. 4 Hours. Discusses the fundamentals of electromagnetics (Maxwell’s equations, polarization, wave propagations, etc. Finishes with design and performance of microwave oscillators. Microwave Engineering Laboratory. Advanced Machine Learning. 4 Hours. Students who do not meet course prerequisites may seek permission of instructor. Dynamical Systems in Biological Engineering. EECE 9990. 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. 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. 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. Accompanies EECE 5680. 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. Modeling large and complex systems requires reasoning about probabilistic behavior at a large scale. 2020-21 Undergraduate PDF EECE 7224. ); quantum mechanics; and typical nanofabrication and characterization techniques. Covers delay models, multi-access communication, scheduling, routing, congestion control, and network coding. World-recognized research across the broad spectrum of electrical and computer engineering while being dedicated to the education and mentoring of undergraduate and graduate students. 4 Hours. 4 Hours. EECE 7323. Requires a Bachelor of science in engineering or physics. Covers methods of digital simulation of power systems operating in the steady-state and transient conditions. Provides an introduction to the theoretical analysis and modeling of dynamical systems in biology, ranging from molecular to population applications. EECE 7390. Examines the fundamentals of two-dimensional signal processing, with emphasis on image processing. ECE is one of the highest paid degrees. Features a research-oriented project that serves as the experiential learning component of the course for gaining hands-on experience in solving real-world problems in parallel computing. 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. Concepts of electrical and computer engineering including: ciruit analysis, fundamental electromagnetics, electronic devices, sensors, communication, digital logic, programming, numerous practical applicaitons; laboratory. Includes hands-on exercises and class exercises around challenges defined by the instructor or by guest lecturers. 0 Hours. Solid State Devices. Achieving this goal requires obtaining and using descriptions (models) of the sensors and the world. Requires working knowledge of C/C++, algorithms, and data structures. EECE 7213. Topics include pipelining, superscalar, out-of-order execution and completion, data flow, caching, prefetching, virtual memory, RAID, and ATM switching. Special Topics in Power Electronics. 4 Hours. Introduces fundamental techniques in computer engineering used throughout the graduate curriculum. Early Childhood Education (MA or MEd) Graduate Master's College of Education. High-Level Design of Hardware-Software Systems. 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. Discusses efficient matrix methods, relaxation methods, the conjugate gradient technique, and multidimensional Newton’s method in the context of electromagnetic field simulation. Presents power management circuits with a focus on modern system on a chip (SoC). 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. Covers fundamentals of probability and stochastic processes with applications to estimation and queuing theory. Wireless Communication 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. Professor and Chair, 409 Dana Research Center The course is leading designed by Dave Malouf and Spell Yu. Linear Systems Analysis. The goal of this course is to introduce the subject to people in the systems, machine-learning, and computer vision communities faced with “big data” and scaling problems and serve as a quick reference guide, summarizing the state of the art as of today and providing a comprehensive set of references. 4 Hours. Integrated Circuits for Mixed Signals and Data Communication. 4 Hours. Digital Communications. Covers advanced issues in designing high-performance computing and data storage systems. EECE 5688. Introduces microelectromechanical systems, including principles of sensing and actuation, microfabrication technology for MEMS, noise concepts, and packaging techniques. In addition, students have the opportunity to pursue the Gordon Engineering Leadership Program in combination with the Master of Science in Electrical and Computer Engineering. NEU 201 or PSY 377 or BIO 339 or NEU 339 or BIO 340 or instructor consent is a prerequisite for this class. Methodology includes lectures, textbooks, and emphasis on readings from relevant literature. Presents the fundamental theory and properties of antennas. Covers topics from the course through various experiments. 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 7370. 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. Two Dimensional Signal and Image Processing. EECE 7237. 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 4209. 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. Emphasizes presenting fundamental concepts, essential mathematical formulas and theorems, and engineering applications. ECE … 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. Topics include linear operators and their representations; matrices, algebraic equations, equivalence, and similarity transformations; introduction to the state-variable theory of continuous and discrete linear systems; standard canonical representations, the concept of state, and the representation of interconnected systems, linear spaces, the state equations, and their solution; stability; and introduction to the general control problem in terms of controllability and observability. Experiential Learning. Introduces processing and analysis of digital images with the goal of recognition of simple pictorial patterns. Concludes with current topics including networks analysis/modeling, physical layer/cross-layer design, emerging technologies, and mobility. ECE 4265. Micro- and Nanofabrication. 4 Hours. 4 Hours. Reviews methods for dealing with both large and high-dimensional data sets, emphasizing distributed implementations. The first half of the course focuses on the compiler front end, based on a lexical analyzer, syntax parser, and intermediate code generator. Big Data and Sparsity in Control, Machine Learning, and Optimization. 1-4 Hours. Covers Cauchy’s integral and related theorems, Taylor and Laurent series, analytic continuation, and multivalued functions. EECE 7336. 4 Hours. 4 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. 4 Hours. EECE 7346. Course projects emphasize model-based design for control of assistive robots in smart environments. 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. Covers topics from the course through various experiments. 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. Offers an integrated lecture/lab course that covers the basics of the Unix operating system, high-level programming concepts, introductory digital design, wireless networking, and Simulink design. Covers a wide range of disciplines, from electronics to mechanics, material properties, microfabrication technology, electromagnetics, and optics. Covers special topics in electrical and computer engineering. 4 Hours. Preparing High-Stakes Written and Oral Materials. EECE 7397. EECE 9000. Please email nucopycenter@northeastern.edu for details. Find A-Z • Covers aspects of power electronics not studied in other courses. Requires a basic knowledge of calculus and linear algebra. Develops series solutions of ordinary differential equations of second order using the tools of complex variable theory. EECE 7250. Also provides a survey of the current state of the art in processor architectures and provides additional readings from recent research in the field. 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. Coverage includes security and trust issues in all types of electronic devices and systems, such as ASICs, COTS, FPGAs, microprocessors/DSPs, and embedded systems. 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. EECE 7310. Search, 360 Huntington Ave., Boston, Massachusetts 02115 • 617.373.2000 • TTY 617.373.3768 © 2020-2021 Northeastern University. Fundamentals of Nanoelectronics. 4 Hours. Our goal is to ensure that the education you receive at National University is among the most relevant and rewarding in higher learning. 4 Hours. Covers planar transmission lines and coupled lines and their application to important devices and microwave circuit functions and multiport networks using S-parameters, flow graphs, and Smith charts. 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. This will be used to identify you in case your account is shared. Course lectures will be available online for remote students. EECE 5610. Offers theoretical or experimental work under individual faculty supervision. 4 Hours. Covers design and modeling of architectures, communication protocols, and algorithms for wireless sensor networks. Master’s students can select from seven concentrations (listed below) to align their coursework with their career goals. 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. A large component of the class involves programming in both the ROS and LCM environments with real field robotics sensor data sets. Discusses phase plane analysis for nonlinear systems. Requires proficiency in the C programming language, the GNU tool set for C programming, and debugging in Unix operating systems. 4 Hours. Reviews basic protective relaying and relay settings using typical distribution system examples. Optimization problems arise ubiquitously in all areas of engineering and science. Adaptive control, then, is the means by which a system that is poorly modeled is controlled adequately. The third part covers applications of sensor networks technology to many challenging problems of our times, including cyber- physical systems, smart cities, smart transportation systems, and underwater sensing systems. EECE 9996. Introduces relevant topics and concepts in visualization, including computer graphics, visual data representation, physical and human vision models, numerical representation of knowledge and concept, animation techniques, pattern analysis, and computational methods. These topics lay a foundation for thermal and electronic conduction, which is the underlying physics of electronic devices. 2003–2004 Catalog and Course Descriptions . Then presents fundamentals of three-phase circuit analysis in the steady state, both for balanced and unbalanced operating conditions. ECE 1171, Electrical Engineering 1; MIM 1312, Engineering Probability and Statistics 2; MIM 1420, Computers and Information Systems; and MIM 1320, Work Design. No special characters allowed. Successful students should be able to understand the design trade-offs in designing, engineering, and operating large-scale parallel computing systems. EECE 7368. Requires a strong understanding of linear systems, transform techniques, and linear algebra. Emphasizes modern engineering applications of computer vision, graphics, and pattern classification methodologies for data visualization. Culminates with both an individual design project and a team-based final project of considerable complexity. EECE 7105. Statistical Inference: An Introduction for Engineers and Data Analysts. Seeks to prepare students to do research in machine learning. Students are expected to present their results and findings and submit a written report. These are used in association with techniques and algorithms for dead reckoning and visual inertial odometry in conjunction with GPS and inertial measurement units. Power Management Integrated Circuits. EECE 7270. EECE 9991. 4 Hours. 4 Hours. 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