Covers topics from the course through various experiments. 4 Hours. 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. Offers students an opportunity to obtain a fundamental understanding of the property and manipulation of light at the nanoscale. 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. Covers accelerating scientific and other applications on computer clusters, many-core processors, and graphical processing units (GPUs). Topics include the linear and nonlinear acoustic wave equation; sources of sound; reflection, refraction, transmission, and absorption; bearing and range estimation by sensor array processing, beam forming, matched filtering, and focusing; diffraction, bandwidth, ambient noise, and reverberation limitations; scattering from objects, surfaces, and volumes by Green’s theorem; forward scatter, shadows, Babinet’s principle, extinction, and attenuation; ray tracing and waveguides in remote sensing; and applications to acoustic, radar, seismic, thermal, and optical sensing and exploration. EECE 7270. Reviews methods for dealing with both large and high-dimensional data sets, emphasizing distributed implementations. ); quantum mechanics; and typical nanofabrication and characterization techniques. 4 Hours. Offers theoretical or experimental work under individual faculty supervision. Topics may vary from year to year. 4 Hours. Reviews frequency domain signal analysis through treatment of noiseless analog communication. Nanophotonics is one very important research area in nanotechnology. Topics may include kinematics, dynamics, numerical methods, state estimation, control, perception, localization and mapping, and motion planning for mobile robots. System Identification and Adaptive Control. The goal of the field of computer vision is to make useful decisions about real physical objects and scenes based on sensed images. Requires a knowledge of electronics and digital systems design. Identifies the problems that one should expect when developing large software systems; methods that the software developer can use to deal with each of the problems; tools that the software developer can use; and procedures that can be followed in developing software. Combinatorial Optimization. Requires solid knowledge of digital system design, integrated circuits synthesis flow, and embedded systems recommended. EECE 4520. 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. Requires a good understanding of linear systems, transform techniques, linear algebra, and random processes. Covers the fundamentals of parallel machine-learning algorithms, tailored specifically to learning tasks involving large data sets. Modeling large and complex systems requires reasoning about probabilistic behavior at a large scale. 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. Power Systems Analysis 1. Optics for Engineers. Introduces topics such as image formation, segmentation, feature extraction, matching, shape recovery, dynamic scene analysis, and object recognition. 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. Emphasizes linear quadratic optimization, H2 control, H-infinity control, and mu-synthesis. Basic concepts include general definitions and network organization. Topics include random variables and their functions; PDF, PMF, and CDF notions; statistical averages; moments and characteristic functions; multiple random variables; joint and conditional PDF and PMF; multiple functions of random variables; correlation and covariance; mean squared estimation of random variables; Markov, Chebychev, and Chernov inequalities; various notions of convergence of random variable sequences; laws of large numbers; central limit theorem; and large deviation theory. Potential project topics include (but are not limited to) computer vision, cryptography, machine learning, and wireless communications. EECE 2412. Begins with basic concepts such as CMOS device models, DC and small-signal analysis techniques for single- and multistage amplifiers, biasing configurations, and reference generation circuits. Introduces modern techniques (computational methods) and applications (optics, bioelectromagnetics, and electromagnetic effects in high-speed digital circuits). Covers basic and advanced topics in imaging engineering. EECE 4646. 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 9990. 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. The second part covers standardization efforts, including Bluetooth, IEEE 802.15.4 and Zigbee, RFID, 6LowPan, and Internet of Things, among others. Covers both the algorithms to manipulate these data structures as well as their use in problem solving. Covers parallel and distributed processing concepts including concurrency and its management, models of parallel computation, and synchronous and asynchronous parallelism. System models are essential to four key aspects of the assistive robot design process: derivation of executable specifications, hardware and software design based on simulations, implementation by code generation, and continuous testing and verification. Begins with the basic theory of discrete and continuous probabilities, then develops the concepts of random variables, random vectors, random sequences, and random processes. At most one of these courses (4SH) can be taken in a semester. EECE 7310. 4 Hours. EECE 2150. Defines the concepts of correlation, covariance, and power density spectra and uses them to analyze linear system operations in continuous time. 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. Research Highlight. Computational Methods for Data Analytics. Covers the design and implementation of algorithms to solve engineering problems using a high-level programming language. Covers simple adaptive systems, adaptive observers, and adaptive control. Wireless Sensor Networks and the Internet of Things. Covers fundamentals of operating systems (OS) design, including theoretical, OS-generic design considerations as well as the practical, implementation-specific challenges in the development of a real OS. This thread is archived. EECE 2210. Environmental Systems. Presents basic topics (radio spectrum and its utilization, antennae, and information processing by modulation and demodulation). Topics covered include fundamentals of light propagation in biological tissues, light-matter interactions such as elastic and inelastic scattering; fluorescence and phosphorescence; diagnostic imaging techniques such as confocal fluorescence microscopy, diffuse optical tomography, and optical coherence tomography; and therapeutic interventional techniques, including photodynamic therapy, laser thermal therapies, and fluorescence-guided surgeries. Additional topics include the asymptotic behavior of probabilistic systems, including stochastic approximation/Robbins-Monro type algorithms, and ODE/fluid limits. Requires students to design and implement the project proposed in that earlier course. Special Topics in Computer Engineering. Antennas and Radiation. These topics lay a foundation for thermal and electronic conduction, which is the underlying physics of electronic devices. Digital Control Systems. Introduction to Software Security. Includes a software development project that covers all the stages of the life cycle. EECE 4638. The Capstone Design Courses are taken as follows: (EECE4790 - Summer 1 and EECE4792 - Spring) OR (EECE4790 - Summer 2 and EECE4792 - Fall) * ENGW3315. Requires working knowledge of C/C++, algorithms, and data structures. I'm interested in Software Dev after graduation, so I thought taking EECE 4520 (Software Engineering 1) would be a good class to take. Supports class material related to transmission lines, wave-guiding structures, plane wave reflection and refraction, and antenna radiation. Thesis Continuation. Addresses a set of analytical and practical problems, with emphasis on a rigorous theoretical treatment of relevant questions. Addresses concepts such as hypothesis testing, Bayesian principles, likelihood functions, sufficient statistics, optimal estimation, and prediction. 4 Hours. Topics include high-performance scalable parallelization strategies for emerging computational applications from different science and engineering domains. Uses symmetrical component transformation and positive, negative, and zero sequence networks to analyze unbalanced systems. Examines geometric representation of signals and signal space concepts, principles of optimum receiver design for AWGN channels, correlation and matched filter receivers, and probability of error analysis for binary and M-ary signaling through AWGN channels, and performance of ASK, PSK, FSK, and QAM signaling schemes. Presents the theory and practice of modern signal processing techniques. Covers introduction to multiferroics, atomic structure of multiferroics (chemistry), multiferroic material science, continuum-level analysis of multiferroic materials, and multiferroic devices. 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. Course Lists Depth Courses. Examines the electronic properties of semiconductors, dielectric, magnetic, superconducting, and optical materials. Covers biomedical optics and discusses the theory and practice of biological and medical applications of lasers. 4 Hours. Find Faculty & Staff • Examines important electrodynamic applications by the use of advanced mathematical techniques. 4 Hours. EECE 7352. CS 4400 Programming Languages 4. Preparing High-Stakes Written and Oral Materials. Courses from the following subject areas may not count toward any concentration within the MSECE program: The following CS courses may not count toward any concentration within the MSECE program: College of Professional Studies Undergraduate, University-Wide Academic Policies and Procedures, 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. EECE 5360. Power Management Integrated Circuits. EECE 4993. The high-frequency circuit models of transistors are described and used to evaluate the frequency responses of amplifiers. 1-4 Hours. EECE 7337. 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. 4 Hours. Here are 10 of the easiest classes at McGill University. 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. Focuses on using real large-scale robotics systems in real-world settings. Includes attendance at Distinguished Lecture Series (DLS). Examines control system objectives, modeling and mathematical description, transfer function and state-variable representations, feedback control system characteristics, system responses, and stability of feedback systems. CS 3200 Database Design 4. Reviews phasor diagrams and three-phase circuits; the magnetic aspects including magnetic circuits and permanent magnets; transformers, their equivalent circuits, and performance; principles of electromechanical energy conversion; elementary concepts of rotating machines including rotating magnetic fields; and steady-state theory and performance of induction machines, synchronous machines, and direct current machines. 4 Hours. Requires a Bachelor of science in engineering or physics. May be repeated up to two times. Covers topics from the course through various experiments. Introduces cadence tools for circuit simulations, physical layout, and layout verification. 3 Required CE … In the hands-on labs, offers students an opportunity to follow the steps of creating a startup or conducting new research and assembling a microcontroller-based sensor system for collecting digital biomarkers. Reviews communication system basics, modulation and demodulation, architectures of receivers and transmitters, and system performance. Requires a working knowledge of C programming language. Two of these five courses may be used as Technical Electives for electrical engineering students: 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. EECE 7284. Provides an introduction to lossless and lossy source coding and introduces Huffman and Lempel-Ziv algorithms. 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). Autonomous Field Robotics. Focuses on the various building blocks of analog circuits, their operation, and the underlying principles and techniques, with analysis supplemented by CAD simulation. EECE 4572. The integrated 48-semester-hour degree and certificate will require 32 semester hours of advisor-approved communications, control, and signal processing technical courses. Requires an undergraduate course in communications systems. EECE 7242. 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. The latter half deals with an introduction to the state of the art in electronic materials, including semiconductor nanoelectronics, magnetic semiconductors and spintronics, molecular electronics, carbon nanotubes, conducting polymers, diamondlike carbon, and other topics representing recent technological breakthroughs in the area of electronic materials. EECE 7214. EECE 7312. EECE 7237. Statistical and Adaptive Signal Processing. Covers design and modeling of architectures, communication protocols, and algorithms for wireless sensor networks. Special Problems in Electrical and Computer Engineering. CS 4100 Artificial Intelligence 4. EECE 7213. Includes experiments with microwave transmission line measurements and the determination of the properties of dielectric materials, network analyzer analysis of microwave properties of circuit elements and transmission line electrical length, analysis of effective dielectric constant and loss from microstripline resonator transmission, optical measurement of refraction and reflection leading to determination of Brewster angle and optical constants for transparent and absorbing materials, and measurement of radiation patterns from dipole antennas. EECE 5682. May be repeated without limit. EECE 3392. Hardware-Software Codesign for FPGA-Based Systems. 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. Introduces basic concepts of dynamic optimization and applies them to problems of short-term and long-term optimal control, path planning and stabilization, state estimation, and filtering. Addresses some advanced design techniques, such as linearity improvement methods, frequency compensation, and digitally assisted performance tuning. 4 Hours. Modern computers take advantage of multiple threads and multiple cores to accelerate scientific and engineering applications. Reviews elementary data structures, such as arrays, stacks, queues, and lists, and introduces more advanced structures, such as trees and graphs and the use of recursion. Introduces algorithm complexity analysis and its application to developing efficient algorithms. Emphasizes MOS devices, which are currently the dominant technology in integrated circuits. Proc. 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. Covers the fundamental elements of solid-state device physics and the application of these principles. Department of Chemical Engineering. Integrated Circuit Devices. 4 Hours. The cooperative education program, also known as co-op, is one of the largest and most innovative in the world, and Northeastern is one of only a few that offers a co-op program for graduate students. 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. Focuses on how to think through and develop critical materials that have high-stakes impact. Healthcare Technologies: Sensors, Systems, and Analysis. Course fee applies. Presents applications tospecific systems such as fiber-optic communication, medicalimaging systems, fiber-optic sensors, and laser radar. Statistical Inference: An Introduction for Engineers and Data Analysts. 1-4 Hours. No Ratings. Otherwise, complete four of the following. 4 Hours. BIOE 5115 and EECE 5115 are cross-listed. Image Processing and Pattern Recognition. Find Faculty & Staff • Presents an overview of modern communication networks. Introduces processing and analysis of digital images with the goal of recognition of simple pictorial patterns. The uses of the building blocks are demonstrated for the design of popular ICs, such as operational amplifiers and voltage comparators. 4 Hours. The curriculum is integrated and intensive and is built on state-of-the-art research, taught by faculty who are experts in their areas. EECE 4688. Discusses metrics and benchmarking techniques used for evaluating performance. 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. Topics include linearity, time invariance, causality, stability, convolution, system interconnection, and sinusoidal response. Engineering Secure Software Systems. Expects students to read conference and journal articles, present these articles, and write an individual research paper. EECE 5641. Emphasizes modern engineering applications of computer vision, graphics, and pattern classification methodologies for data visualization. Offers theoretical and/or experimental work conducted under the auspices of the department. Noise and Stochastic Processes. If time permits, also covers digital PAM transmission through band-limited AWGN channels, zero ISI condition, system design in the presence of channel distortion, and equalization techniques. Presents circuit-level designs of radio building blocks (resonators; L-C RF filters; crystals and IF filters; tuned transformers and impedance matching; amplifiers and power amplifiers; RF oscillators; mixers and up/down frequency conversion; signal detectors; and automatic gain control circuits). Data Visualization looks chill, anyone have any experience with this class? Analysis of Unbalanced Power Grids. 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