Covers actuators, sensors, system modeling, analysis, and motion control of robots. Discusses phase plane analysis for nonlinear systems. Studies lasers and other light sources, opticalfibers, detectors, CCD cameras, modulators, and othercomponents of optical systems. Design of Analog Integrated Circuits with Complementary Metal-Oxide-Semiconductor Technology. Introductory Directed Research in Electrical and Computer Engineering. 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. Programming is done in variants of the C programming language. The PDF will include all information unique to this page. Offers hands-on experience working with statistical software/packages and scripting languages and shows students the power of computational tools. Exercises are centered around a common embedded platform. EECE 7245. Addresses some advanced design techniques, such as linearity improvement methods, frequency compensation, and digitally assisted performance tuning. Assistive Robotics (Principles of Assistive Robotics) EECE 5627. EECE 4792. EECE Technical Electives: Students can register for EECE4991/EECE4992/EECE4993 more than once. Course content depends on instructor. Requires solid knowledge of digital system design, integrated circuits synthesis flow, and embedded systems recommended. EECE 7376. 4 Hours. EECE 5686. Presents a range of topics that include assembly language programming, number systems, data representations, ALU design, arithmetic, the instruction set architecture, and the hardware/software interface. 4 Hours. Offers elective credit for courses taken at other academic institutions. Introduces algorithm complexity analysis and its application to developing efficient algorithms. EECE 5645. Electronic Materials. 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. 4 Hours. Topics covered include number systems, data representation, a review of combinational and sequential digital logic, finite state machines, arithmetic-logic unit (ALU) design, basic computer architecture, the concepts of memory and memory addressing, digital interfacing, timing, and synchronization. EECE 7312. 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. Consists of a comprehensive laboratory performed by a team of students. Introduction to Microelectromechanical Systems (MEMS). Introduces fundamentals of statistical inference and data analysis through concepts of detection, estimation, and related signal processing algorithms. The Z-transform and the discrete-time Fourier transform are developed and applied to the analysis of discrete-time signals and systems. Examines the electronic properties of semiconductors, dielectric, magnetic, superconducting, and optical materials. The curriculum is integrated and intensive and is built on state-of-the-art research, taught by faculty who are experts in their areas. Covers Kalman filters and particle filters as applied to the SLAM problem. EECE 9991. Discusses selected topics that illustrate a variety of applications of electrical engineering, such as AC circuits and electric power, the basics of semiconductor devices with applications to transistor amplifier models, transients in circuits with energy storage, mechanical controls and mechatronics, digital signals, logic circuits, and some basic concepts of computer operations, specifically, number coding, arithmetic operations, and memory circuits. 5 EECExxxx; CE Fundamentals 4/5; ENCP3000 … No Ratings. Topics may include kinematics, dynamics, numerical methods, state estimation, control, perception, localization and mapping, and motion planning for mobile robots. Offers students a hands-on experience developing a remote-controlled robotic arm using an embedded systems platform. Introduces robotics analysis covering basic theory of kinematics, dynamics, and control of robots. 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. Computer Architecture. Presents the basic optical concepts necessary for anunderstanding of current and future optical communication,remote sensing, and industrial and biomedical systems. Offers students an opportunity to develop a proposal for a design project that uses engineering technologies to improve the lives of individuals with cognitive or physical disabilities. May be repeated without limit. Investigates the emerging field of humanoid robotics. 4 Hours. EECE 3468. Reviews methods for dealing with both large and high-dimensional data sets, emphasizing distributed implementations. Any core course not used to meet the required core course requirement may be taken as an elective. Northeastern University myNortheastern • Find Faculty & Staff • Find A-Z • Emergency Information • Search 360 Huntington Ave., Boston, Massachusetts 02115 • 617.373.2000 • TTY 617.373.3768 Power Systems Analysis 1. 4 Hours. Also discusses the applications of algorithm analysis and complexity theory to analyzing and solving problems. Northeastern University’s Bioengineering Program provides a broad-based, interdisciplinary engineering curriculum that offers a rigorous yet flexible education. Electrical Engineering and Physics BSEE lt Northeastern - EECE 2150 Circuits and Signals Biomedical Applications 5 EECE 2160 Embedded Design Enabling Robotics 4 Electrical Engineering Fundamentals EECE 2412 and EECE 2413 Fundamentals of Electronics and Lab for EECE 2412 5 EECE 2520 Fundamentals of Linear Systems 4 EECE 2530 and EECE 2531 Fundamentals of Electromagnetics and … Project groups are matched with product design mentors who guide groups through the design process. Analog Integrated Circuit Design. Identification is the process of mathematically modeling a system based on measurement data that may be limited or uncertain. EECE 3392. 4 Hours. Numerical Optimization Methods. 4 Hours. Scalable and Sustainable System Design. Comprises the theory of functions of a complex variable. 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. Requires students to design and implement the project proposed in that earlier course. EECE 5644. EECE 7336. 2020-21 College of Professional Studies Undergraduate PDF Covered IC building blocks include current sources and active loads, differential stages, cascode configurations, gain stages, and output stages. Covers the structure and implementation of a modular compiler. 4 Hours. EECE 5554. EECE 7213. Students who do not meet course prerequisites may seek permission of instructor. Wireless Sensor Networks and the Internet of Things. 5 Hours. Analysis of Unbalanced Power Grids. Introduces the analysis and design of classical control systems. Electrical and Comp Engineerng (EECE) course reviews and classes being taught at Northeastern (NU) 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. Introduces combinatorial optimization, an emerging field that combines techniques from applied mathematics, operations research, and computer science to solve optimization problems over discrete structures. 4 Hours. 4 Hours. Students must apply and be admitted to the Gordon Engineering Leadership Program in order to pursue this option. Topics include rate distortion theory, feedback in one-way channels, Slepian-Wolf coding of correlated information sources, source coding with side information at the receiver, multiple access channel and its capacity region, and the capacity region of the Gaussian multiple access channel. 4 Hours. Methodology includes lectures, textbooks, and emphasis on readings from relevant literature. Emphasizes recursive approaches, such as recursive least squares algorithm, where parameter estimates are updated in real time. 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. Digital electronics topics include CMOS logic gates, dynamic power dissipation, gate delay, and fan-out. EECE 2750. Focuses on the various building blocks of analog circuits, their operation, and the underlying principles and techniques, with analysis supplemented by CAD simulation. Engineering Secure Software Systems. Covers aspects of power electronics not studied in other courses. Focuses on data center scale system design issues. 4 Hours. 5 Hours. Computer security problems have a significant impact on practical aspects of our lives. Topics covered are: obstacle scattering, inhomogeneous medium scattering, uniqueness and stability in inverse scattering, imaging with finite data, point-source method and its applications, singular sources and shape reconstruction, linear sampling methods, signal-subspace-based methods, noniterative approaches for the inverse medium problem, intensity-only imaging, estimation theory in imaging and the question of superresolution, and selected topics in compressive sensing and quantum imaging. Studies the principles of inexact (approximate) computing through arithmetic and circuit design. Introduces analog-to-digital and digital-to-analog conversion concepts and the concepts of feedback and instability with applications to the design of amplifiers and oscillators. Wireless Communication Circuits. Linear Systems Analysis. Department of Chemical Engineering. These topics lay a foundation for the introduction of thermal and electronic conduction, which is the underlying physics of electronic devices. Topics include simple parallel algorithm formulation, parallelization techniques, interconnection networks, arrays, trees, hypercubes, message routing mechanisms, shared address space and message-passing multiprocessor systems, communication cost and latency-hiding techniques, scalability of parallel systems, and parallel programming concepts and application case studies. 4 Hours. Achieving this goal requires obtaining and using descriptions (models) of the sensors and the world. Applied Probability and Stochastic Processes. Emergency Information • BIOE 5115 and EECE 5115 are cross-listed. Classical Control Systems: EECE 5610. Administrative policies, academic curricula, and course descriptions. EECE 7399. Discusses fundamental issues of adaptive identification and control, such as stability of adaptive systems, convergence, persistent excitation, and robustness. Topics covered include parallel computer architecture, parallel programming models, and theories of computation, as well as models for many-core processing. Also addresses compensator design based on root-locus and frequency response, and modern control system design using state-variable feedback. 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. Assistive Robotics. Considers the efficient generation of optimal solutions, the development and evaluation of heuristics, and the computation of tight upper and lower bounds. 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. Introduces processing and analysis of digital images with the goal of recognition of simple pictorial patterns. EECE 2210. The course relies on the use of Matlab in projects. EECE 3324. Introduces the fundamental concepts of acoustics and sensing with waves. 4 Hours. 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. Independent Study. Digital Signal Processing. 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. Accompanies EECE 2530. 4 Hours. Indicates successful completion of program requirements for PhD candidacy. Requires proficiency in the C programming language, the GNU tool set for C programming, and debugging in Unix operating systems. Reviews pertinent linear systems concepts and discusses connections with a geometric intuition relating quadratic optimization to projections. Presents many of the issues involved in the design and analysis of new and evolving computer architectures. EECE 4949. Optimization problems arise ubiquitously in all areas of engineering and science. 2020-21 Undergraduate PDF After completing this course, the successful student should be able to design, characterize, choose, or specify power-management circuits or ICs for a system. Emphasis is on the interaction of electromagnetic waves and the crystal lattice. Students must specify the materials needed for their project, provide a cost analysis, and make arrangements with their capstone adviser to purchase and/or secure donation of equipment. Offers a basic treatment of electronic materials from atomic, molecular, and application viewpoints. EECE Tech Elective 2 EECE Tech Elective 4 General Elective 2 PROGRAM CALENDAR - CLASS OF 2018 Degree Requirements: 134 SH EECE 2150 or 2160 Lab for EECE 2150 or 2160 EE or CE Fundamentals EECE21x0 EECE21x1 4/3 EE or CE Fundmentals. EECE 2540. EECE 2530. Introduces fundamentals of statistical inference and data analysis through concepts of detection, estimation, and related signal processing algorithms. 4 Hours. Presents the theory and practice of modern signal processing techniques. The first half of the course focuses on the compiler front end, based on a lexical analyzer, syntax parser, and intermediate code generator. EECE 5155. Fundamentals of Electromagnetics. Image Processing and Pattern Recognition. Students may take elective coursework outside these lists only with the prior approval of the program director. Offers an overview of the discipline of software engineering. Analyzes sampling and quantization of continuous waveforms (A/D and D/A conversion), leading to the discussion of discrete-time FIR and IIR systems, recursive analysis, and realization. Explores state-space, time-domain techniques for analyzing and designing optimal and robust linear control systems. Special Topics in Electrical and Computer Engineering. Emphasizes modern engineering applications of computer vision, graphics, and pattern classification methodologies for data visualization. Emphasizes linear quadratic optimization, H2 control, H-infinity control, and mu-synthesis. Topics include transmission lines: transmission line model with distributed circuit elements, transmission line equations and solutions, one-dimensional traveling and standing waves, and applications; electromagnetic field theory: Lorentz force equations, Maxwell’s equations, Poynting theorem, and application to the transmission line’s TEM waves. Applies these principles and techniques to practical antenna systems. Accompanies EECE 5680. 4 Hours. 4 Hours. 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. Covers both the algorithms to manipulate these data structures as well as their use in problem solving. The first part of the course emphasizes understanding and modeling of such circuits, and provides a background for engineering evaluation of power converters. Offers an integrated lecture/lab course that covers circuit theory, signal processing, circuit building, and MATLAB programming. 4 Hours. Topics include atomic structure and bonding in materials, structure of materials, and crystal defects. Find Faculty & Staff • EECE 7310. Despite a considerable corpus of knowledge about tools and techniques to protect systems, information about actual vulnerabilities and how they are exploited is not generally available. Uses PSpice software to simulate circuits and large-signal models and transient simulations to characterize the behavior of transistors in amplifiers and switching circuits. Introduces fundamental theoretical and algorithmic concepts behind numerical optimization theory for objective functions with finite numbers of parameters. Introduces the fundamental physical principles for the electromagnetic radiation from antennas and presents the most important mathematical techniques for the analysis of the radiation. Find Faculty & Staff • If time permits, covers three-phase ac-ac converters and soft switching techniques, as well. Covers topics from the course through various experiments. Introduces microelectromechanical systems, including principles of sensing and actuation, microfabrication technology for MEMS, noise concepts, and packaging techniques. 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. Presents solutions to problems in electromagnetics using a wide variety of numerical and computational methods. 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. Operating Systems: Interface and Implementation. EECE 5641. EECE Tech Elective 2 EECE Tech Elective 1 EECE Tech Elective 3 EECE Tech Elective 4 PROGRAM CALENDAR - CLASS OF 2018 Embedded Des. ECE is one of the highest paid degrees. Solid State Devices. Introduces the fundamental techniques and protocols in first- and second-generation, and emerging third-generation, wireless systems. EECE 4649. Offers a unified theoretical approach to the physics of image formation through scattering and wave propagation in sensing. Course projects emphasize model-based control of humanoids for completing practical tasks from space exploration to disaster response. 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. 4 Hours. Already did two CS tech electives. EECE 7275. Everything offered this semester is either way out of my interest zone or I've already taken it. Presents impedance matching techniques. Elective. 1 Elective; General Elective 4; Elective EECE Tech Elective 1; 4 CS1800 Discrete Structures 4 *ENGW3302 Adv Writing in the Tech Prof 4 EECE4790 Capstone 1 4 CS1802 Recitation for CS1800; 1 (to be taken online) Elective. EECE 5640. Fundamentals of Computer Engineering. 4 Hours. Course fee applies. Begins with the basic theory of discrete and continuous probabilities, then develops the concepts of random variables, random vectors, random sequences, and random processes. 4 Hours. Communications Systems. Addresses novel applications of analytical and engineering techniques for RF/Microwave Circuits. 4 Hours. EECE 4688. Uses moment methods to solve the integral equations related to currents and charges on wire structures. As a civil engineering student at Northeastern University, students begin their education by acquiring a common base of knowledge in engineering science and then learn to design and analyze related civil and environmental engineering solutions. 4 Hours. 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