We formulate this as a maximization problem … Handbooks & Materials for Candidates. Topics include vacuum technologies; vacuum pumps; vacuum system design and analysis; different thin film deposition technologies, including sputtering, chemical vapor deposition, electrochemical deposition, atomic layer deposition, etc. Linear Systems Analysis. Experiential Learning. Covers delay models, multi-access communication, scheduling, routing, congestion control, and network coding. ); quantum mechanics; and typical nanofabrication and characterization techniques. 2001–2003 Catalog and Course Descriptions . Concepts of electrical and computer engineering including: ciruit analysis, fundamental electromagnetics, electronic devices, sensors, communication, digital logic, programming, numerous practical applicaitons; laboratory. Introduces topics such as image formation, segmentation, feature extraction, matching, shape recovery, dynamic scene analysis, and object recognition. Two Dimensional Signal and 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. Investigates the what (modeling), how (design), and why (analysis) of assistive robotics through the use of model-based design process. See the current course offerings page for courses offered this semester. Reviews communication system basics, modulation and demodulation, architectures of receivers and transmitters, and system performance. Covers analysis and design of ICs for high-speed communications and mixed-signal processing. High-Level Design of Hardware-Software Systems. 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. Covers topics from the course through various experiments. EECE 7203. EECE 7105. 0 Hours. EECE 5645. Professor and Chair, 409 Dana Research Center Find Faculty & Staff • Emphasis is on the interaction of electromagnetic waves and the crystal lattice. Capstone independent study project placing each student in a commercial, academic or government setting where he or she identifies a major cyber security problem, and explores and evaluates a solution that addresses it with realistic assumptions about the organizational context. EECE 5612. His work on the bioinspired robot was heavily influenced by the complex and agile locomotive capabilities of biological bats. Handling mobility efficiently requires more information sharing between network layers than is typically considered. Emphasizes practical robot applications ranging from disaster response to healthcare to space exploration. This opportunity provides undergraduate students with practical research experience, knowledge of modern research practices, and advanced technical skills. Embedded Design: Enabling Robotics. 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. High-Performance Computing. Presents analytical techniques such as basic queuing theory, queuing networks, optimization, stochastic control, and distributed algorithms. For course descriptions not found in the UC San Diego General Catalog 2019–20, please contact the department for more information. EECE 5688. EECE 7400. Microwave Circuit Design for Wireless Communication. Requires a knowledge of electronics and digital systems design. Emphasizes the connection between architecture and the underlying software that drives it. 4 hours. Digital Control Systems. NEU 310 | SEMINAR IN NEUROPSYCHOPHARMACOLOGY | 4 quarter hours (Undergraduate) 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. Emergency Information • 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. 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. Also introduces students to the problems and current research in the provision of quality of service (QoS) in wireless networks. EECE 7296. Introduces fundamentals of statistical inference and data analysis through concepts of detection, estimation, and related signal processing algorithms. Covers basic RF design concepts including linearity, noise figure, sensitivity, impedance matching, and imperfections of integrated passive components (parasitics, quality factors). 4 Hours. 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. Topics include all aspects of the system including the microprocessor, memory, I/O, and networking. 4 Hours. Presents solutions to problems in electromagnetics using a wide variety of numerical and computational methods. Dissertation Term 1. 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. EECE 9996. Uses symmetrical component transformation and positive, negative, and zero sequence networks to analyze unbalanced systems. Not all courses in the catalog are offered every year. ECE 4140. 4 Hours. EECE 7242. 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. Labs incorporate real field sensors and platforms. Overview. 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. 5 Credit Hours. 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. Students have the option to participate in a hands-on co-op experience through the Master of Science in Information Systems. Addresses novel applications of analytical and engineering techniques for RF/Microwave Circuits. EECE 7352. ECE … EECE 7390. Offers students an opportunity to learn where and how to apply machine learning algorithms and why they work. Wireless Communication Systems. Expects students to read conference and journal articles, present these articles, and write an individual research paper. Data Visualization. This will be used to identify you in case your account is shared. Introduces different modulation techniques. 4 Hours. Microwave Engineering Laboratory. Identification is the process of mathematically modeling a system based on measurement data that may be limited or uncertain. 2020-21 Graduate PDF 2020-21 Undergraduate PDF 2020-21 College of Professional … Thin Film Technologies. 4 Hours. 4 Hours. The goal here is to build drones that are energy efficient and safe to operate around humans. 4 Hours. Addresses a set of analytical and practical problems, with emphasis on a rigorous theoretical treatment of relevant questions. 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. Lab hours are arranged. Computational Methods in Electromagnetics. 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. 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. 4 Hours. The University Catalog provides a listing of degree requirements for each program, and the DARS system provides a degree audit utility for students. Applied Probability and Stochastic Processes. Search catalog Submit. Achieving this goal requires obtaining and using descriptions (models) of the sensors and the world. Topics include high-performance scalable parallelization strategies for emerging computational applications from different science and engineering domains. Advanced Machine Learning. 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. Includes a series of tightly related assignments, which guide students through the implementation of a fully functional LLVM-based compiler from the ground up. 4 Hours. Studies microwave filters, narrowband and broadband amplifiers, their gain and stability, impedance matching, and noise performance, as well as mixers and frequency-conversion techniques. EECE 7368. Introduction to Multiferroics Materials and Systems. 2020-21 Undergraduate PDF Early Childhood Education (MA or MEd) Graduate Master's College of Education. 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. 4 Hours. 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. Investigates the science and engineering of mobile robots. 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. EECE 7205. Designed for students with primary interests in power conditioning, control applications, and electronic circuits, but it could prove useful for designers of high-performance computers, robots, and other electronic and electromechanical (mechatronic) systems in which the dynamical properties of power supplies become important. 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. Scalable and Sustainable System Design. 4 Hours. Covers theoretical analysis, practical design, and simulation of analog integrated circuits implemented in complementary metal-oxide-semiconductor (CMOS) fabrication process technologies. EECE 7247. Computer Hardware Security. Administrative policies, academic curricula, and course descriptions. Covers simple adaptive systems, adaptive observers, and adaptive control. Presents established numerical methods for iterative unconstrained and constrained optimization. EECE 7204. Introduction to Electrical and Computer Engineering. 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. Provide tools and techniques needed to analyze and design power conversion circuits that contain switches. Power Systems State Estimation. ECE is one of the highest paid degrees. Requires a good understanding of linear systems, transform techniques, linear algebra, and random processes. Dynamical Systems in Biological Engineering. /Academics & Experiential Learning / Graduate School of Engineering / Graduate Admissions Graduate Admissions. Examples emphasize concepts introduced in EECE 5580, such as system response to stimuli, stability, and robustness. EECE 7245. Studies cutoff rate and its communication system design. Introduces emerging energy-harvesting techniques for IC design. Covers topics in advanced machine learning. Adaptive control, then, is the means by which a system that is poorly modeled is controlled adequately. Focuses on how to think through and develop critical materials that have high-stakes impact. EECE 7376. 4 Hours. 4 Hours. 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. Northeastern University. Highlights implementation of computer arithmetic and how it varies on different computer architectures. EECE 5627. Human-centered computing is an emerging technology that utilizes the intrinsic physiological or behavioral traits of individuals for machine-based automatic and reliable identification. Focuses on the theory of ordinary and partial differential equations of mathematical physics. EECE 9000. Topics include polarization, interference, diffraction, and optical properties of crystals, thin films, optical resonators, guided waves, modulators, and detectors. Lectures are supported by illustrative examples, hands-on exercises, and numerical implementations grounded in real-world examples. Seeks to provide students with the opportunity to develop an understanding of pn junctions, bipolar junction transistors, and MOSFETs. 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. Accompanies EECE 5684. Introduces fundamental theoretical and algorithmic concepts behind numerical optimization theory for objective functions with finite numbers of parameters. Focuses on the physics, chemistry, and technology of integrated circuit fabrication in the lecture portion of the course, while students fabricate and test novel devices (an electrohydrodynamic micropump and three-dimensional carbon nanotube interconnects) in integrated lab sessions. Covers wireless standards, multiple-access techniques, and recent advances if time permits. 4 Hours. Offers analytical and/or experimental work leading to a written report and a final short presentation by the end of the semester. Addresses some advanced design techniques, such as linearity improvement methods, frequency compensation, and digitally assisted performance tuning. Covers sampling and analysis tools for linear discrete-time dynamic systems, including the design of digital control systems using transform techniques by discrete equivalent and direct design methods; root locus, Bode and Nyquist diagrams, and Nichols charts; controller implementation issues, such as digital filter realizations, nonlinear effects due to quantization, round off, dead band, and limit cycles; and selection of the sampling rate. 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. Power Systems Analysis 1. Siddhartha Ghosh joins the Electrical and Computer Engineering department in January 2021 as an Assistant Professor. Presents the theory and practice of modern signal processing techniques. Covers examples from a variety of scientific, medical, interactive multimedia, and artistic applications. Getting disk space on the ECE departmental file server The department educates the next generation of highly skilled engineers and researchers with necessary skills to address the future needs of industry, government, and humanity. 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. Topics include pipelining, superscalar, out-of-order execution and completion, data flow, caching, prefetching, virtual memory, RAID, and ATM switching. Emphasizes linear quadratic optimization, H2 control, H-infinity control, and mu-synthesis. Offers theoretical and/or experimental work conducted under the auspices of the department. 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 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. Optimization problems arise ubiquitously in all areas of engineering and science. 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. 4 Hours. 2020-21 College of Professional Studies Undergraduate PDF 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. Robotics Sensing and Navigation. EECE 7202. System Identification and Adaptive Control. Covers advanced issues in designing high-performance computing and data storage systems. Studies simulation and performance evaluation in computer systems. Advanced Power Electronics. Srinivas Tadigadapa, PhD Professor and Chair. Micro- and Nanofabrication. Explores differential signal processing, operational amplifiers, operational transconductance amplifiers, and common-mode feedback circuits. Provides an introduction to the theoretical analysis and modeling of dynamical systems in biology, ranging from molecular to population applications. EECE 7237. 4 Hours. Electromagnetic Theory 2. Concludes with current topics including networks analysis/modeling, physical layer/cross-layer design, emerging technologies, and mobility. Our goal is to ensure that the education you receive at National University is among the most relevant and rewarding in higher learning. Includes an individual project where each student is expected to implement an application, port that application to several different styles of parallelism, and compare the results. Computer Architecture. EECE 7323. EECE 7214. 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. 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 5638. Examines the electronic properties of semiconductors, dielectric, magnetic, superconducting, and optical materials. Provides an introductory graduate course in optics, presenting the engineering concepts necessary to understand and evaluate electro-optical systems. Thesis Continuation. 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. 4 Hours. May be repeated without limit. These topics lay a foundation for thermal and electronic conduction, which is the underlying physics of electronic devices. ECE Assistant Professor Xue “Shelley” Lin, in collaboration with Michigan State University Professors Xiaoming Liu and Sijia Liu, received $1M funding from DARPA for their project titled Intelligent Diagnosis for Machine and Human-Centric Adversaries. Requires good programming experience in Matlab or C++. Power Management Integrated Circuits. Course lectures will be available online for remote students. Topics include signals, systems, and transforms in two dimensions; design and analysis of FIR and IIR filters; DFT and FFT algorithms; generation of digital image from the source; image digitizers and display devices; image transforms; techniques for point-wise, local, and global image enhancement; statistical image restoration techniques including recursive estimation; image coding techniques in spatial and transform domain including coding for facsimile transmission; and feature analysis. EECE 7346. Topics include Bayes decision theory, maximum likelihood parameter estimation, model selection, mixture density estimation, support vector machines, neural networks, probabilistic graphics models, and ensemble methods (boosting and bagging). EECE 5554. 2000–2001 Catalog and Course Descriptions . 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. 617.373.7529 4 Hours. Electrical Machines. Human Sensing and Recognition. Introduces the fundamental concepts of acoustics and sensing with waves. Emphasizes modern engineering applications of computer vision, graphics, and pattern classification methodologies for data visualization. Covers the fundamentals of vacuum technology, thin film deposition technologies, characterization technologies, their applications in different industries, and the frontiers of research activities on thin film deposition technologies. EECE 5652. EECE 5115. The first part of the course emphasizes understanding and modeling of such circuits, and provides a background for engineering evaluation of power converters. 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 7201. Full-Time Day Programs. 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. 4 Hours. Emphasizes performance analysis of adaptive filters under nonstationary conditions; triangular covariance factorization; geometric derivation of RLS adaptive algorithms; a factual knowledge of some basic concepts concerning fundamentals of regularized least squares and the Kalman filter interpretation of the RLS algorithm; IIR (Laguerre-based) lattice configuration; and nonlinear adaptive filtering. Includes the principle of orthogonality, Wiener and Kalman filters, linear prediction, spectral factorization, the Yule-Walker equations, decimation and interpolation, Noble identities and polyphase representation, and maximally decimated filter banks. Prerequisites: ECE 183 with a grade of C– or better. 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