EECE 5580. Studies the principles of inexact (approximate) computing through arithmetic and circuit design. EECE 5554. Special Topics in Electrical and Computer Engineering. Introduces the analysis and design of classical control systems. Embedded Design: Enabling Robotics. 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. Northeastern is proud to play a large role in educating tomorrow's leaders in this emerging area. Analysis methods include the evaluation of linearity, noise, stability, and device mismatches from process variations. Focuses on techniques to efficiently design and make use of field-programmable gate arrays (FPGAs) to accelerate applications. EECE 5606. Introduces basics of radio propagation and studies their effect on communication signals. Discusses the representation of signals and systems in both the time and frequency domain. EECE 5626. High-Performance Computing. Fundamentals of Engineering Algorithms. 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. EE student prerequisites: EECE 301 and EECE 315. Introduces robotics analysis covering basic theory of kinematics, dynamics, and control of robots. Lectures are supported by illustrative examples and hands-on exercises that rely on the use of MATLAB and are grounded in practical problems. EECE 5627. Introduces modern techniques (computational methods) and applications (optics, bioelectromagnetics, and electromagnetic effects in high-speed digital circuits). EECE 4638. The Z-transform and the discrete-time Fourier transform are developed and applied to the analysis of discrete-time signals and systems. Focuses on the hardware and software design for devices that interface with embedded processors. Requires good programming experience in Matlab or C++. 4 Hours. Develops all concepts in the context of concrete biological applications, such as gene regulation, chemical reaction networks and stoichiometry, drug models and PK/PD, receptor/ligand interactions, synthetic constructs, action potential generation, enzymatic reactions, population interactions, epidemiology, epigenetic phenomena including differentiation, and transport, chemotaxis, and diffusion. Topics include theory of interpolation; the theory of numerical integration and differentiation, numerical solutions of linear as well as nonlinear systems of equations, the theory of least squares; and numerical solution of ordinary and partial differential equations using a programming environment such as MATLAB. EECE 4694. 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. 4 Hours. Topics include the characteristics of discrete signals and systems, sampling, and A/D conversion; the Z-transform, the Fourier transform, and the discrete Fourier transform; fast Fourier transform algorithms; design techniques for IIR and FIR digital filters; and quantization effects in digital signal processing. Successful engineers need to organize and adapt information to solve problems. Seeks to provide students with the opportunity to develop an understanding of pn … Complete 12 semester hours from the course list. Design of Analog Integrated Circuits with Complementary Meta... Complex Variable Theory and Differential Equations, Applied Probability and Stochastic Processes, System Identification and Adaptive Control, Modeling and Simulation of Power System Transients, Integrated Circuits for Mixed Signals and Data Communication, Introduction to Microelectromechanical Systems (MEMS), Microwave Circuit Design for Wireless Communication, Radio Frequency Integrated Circuit Design, Computational Methods in Electromagnetics, Advanced Magnetic Materials—Magnetic Devices, Magnetic Materials—Fundamentals And Measurements, Two Dimensional Signal and Image Processing, Statistical And Adaptive Signal Processing. EECE Dept. EECE 5688. Independent Study. Offers students an opportunity to fabricate micro- and nanoscale devices in integrated lab sessions. Covers biomedical optics and discusses the theory and practice of biological and medical applications of lasers. 617.373.4431 (fax). Digital Signal Processing. EECE 2412. Continues EECE 4790. Examines common types of power system faults. Students have access to state-of-the-art computing facilities, including numerous Linux and Windows-based workstations. 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. Biomedical Imaging. 4 Hours. All the necessary information about device models, homework, examinations, Communications Systems. Offers students an opportunity to program using assembly language and to simulate execution. Professor and Chair, 409 Dana Research Center 4 Hours. Presents the theory and practice of modern signal processing techniques. Provides a basic treatment of electronic materials from atomic, molecular, and application viewpoints. May be repeated once. Accompanies EECE 2530. EECE 4993. Offers students an opportunity to learn how the security of systems can be violated and how such attacks can be detected and prevented. Covers the design and evaluation of control and data structures for digital systems. Find Faculty & Staff • EECE 5610. 4 Hours. Accompanies EECE 4524. 4 Hours. A large component of the class involves programming in both the ROS and LCM environments with real field robotics sensor data sets. Offers an opportunity to conduct research under faculty supervision. Focuses on advanced topics related to computer engineering technology to be selected by instructor. Introduces combinatorial optimization, an emerging field that combines techniques from applied mathematics, operations research, and computer science to solve optimization problems over discrete structures. EECE 5576. If the issue persists, please contact us at support@coursicle.com. Uses symmetrical component transformation and positive, negative, and zero sequence networks to analyze unbalanced systems. The curricula are continuously assessed to ensure that graduates can achieve these goals and g… Begins with the basic theory of discrete and continuous probabilities, then develops the concepts of random variables, random vectors, random sequences, and random processes. 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. The Bachelor of Science programs allow students sufficient flexibility within the standard eight academic semesters to earn a minor in nearly any department in the university. EECE 5644. Also addresses compensator design based on root-locus and frequency response, and modern control system design using state-variable feedback. The schedule of classes lists all of the classes that are available for registration in a specific term. EECE 5360. Includes a number of practical lab assignments that require students to apply their knowledge, as well as engage in a discussion of the current research in the field. Offers hands-on experience working with statistical software/packages and scripting languages and shows students the power of computational tools. Advanced Engineering Algorithms. Computer vision is an exciting but disorganized field that builds on very diverse disciplines such as image processing, statistics, pattern recognition, control theory, system identification, physics, geometry, computer graphics, and learning theory. Studies hardware and software design for embedded systems. 4.00 . Course work is drawn from a curriculum that includes cutting-edge ECE technologies: embedded systems and internet of things, robotics and cyber-human systems, networking (mobile/wireless as well as the internet of the future), and big data analytics and machine learning. Introduces recent research trends in novel device concepts. Offers students an opportunity to explore circuits and signals in the lab and to use their knowledge of circuits, analog signals, digital signals, and biological signals to build a working analog/digital EKG system. 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. EECE 7204 - Applied Probability and Stochastic Processes class wall and course overview (exams, quizzes, flashcards, and videos) at Northeastern (NU) Introduction to Engineering Co-op Education, Circuits and Signals: Biomedical Applications, Fundamentals of Digital Design and Computer Organization. Develops the basic theory of continuous and discrete systems, emphasizing linear time-invariant systems. 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. May be repeated without limit. Classical Control Systems. 4 Hours. Addresses topics of hypothesis testing, Bayesian principles, multiple hypotheses and composite hypothesis testing, test power and uniformly powerful tests, likelihood functions, sufficient statistics, optimal estimation, bounds on the estimator variance, minimum variance linear estimation, prediction and regression, interval estimation, and confidence. 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. 4 Hours. Also covers IC design methodologies and performance, scaling of MOS circuits, design and layout of subsystems such as PLA and memory, and system timing. 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. Northeastern's historic strengths in ECE include communications and digital signal processing, power and control systems, power electronics, RF/microwave magnetic materials, device technologies, computer engineering, networking, and robotics. 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 3324. May be repeated without limit. Power Systems Analysis 1. Presents numerical techniques used in solving scientific and engineering problems with the aid of digital computers. The primary educational missions of the Department of Electrical and Computer Engineering are to educate undergraduate students so they have the opportunity to obtain successful careers in electrical and computer engineering and related disciplines and pursue advanced study, such as graduate study in engineering or related disciplines, and to educate graduate students so they can make meaningful contributions to the research and industrial communities. 2020-21 Graduate PDF Topicsinclude geometrical optics, polarized light, diffraction, andinterference. Brief Description Terahertz (THz)-band (0.1–10 THz) communication is envisioned as a key wireless technology of the next decade. Covers various levels of system design, from modulation/detection to traffic analysis. Programming is done in variants of the C programming language. 4 Hours. Lectures cover relevant topics, including surveys of specific physical and cognitive disabilities and applicable engineering technologies. EECE 4542. BIOE 7890 - Master’s Project . All EECE courses at Northeastern University (Northeastern) in Boston, Massachusetts. Please refresh the page. 2020-21 Course Descriptions PDF, Computer Engineering and Physics, BSCompE, Computer Engineering and Computer Science, BSCompE, Electrical Engineering and Music with concentration in Music Technology, BSEE, Electrical and Computer Engineering, BSEE or BSCompE, Accelerated Bachelor/​Graduate Degree Programs, College of Social Sciences and Humanities, College of Professional Studies Undergraduate, Computer Engineering and Computer Science, Electrical Engineering and Music with Concentration in Music Technology, Accelerated Bachelor/Graduate Degree Programs, 2020-21 College of Professional Studies Undergraduate PDF. May be repeated without limit. Covers the software life cycle (requirements analysis and specification, software design, coding, testing, and maintenance); various models of the software process—structured and agile; the Unified Modeling Language (UML) as applied to the software life cycle, prototyping, and documentation; design patterns; software metrics and estimation; software development environments and tools; and verification and validation. Course projects emphasize model-based design for control of assistive robots in smart environments. 4 Hours. Includes hands-on exercises and projects. EECE 4630 at Northeastern University (Northeastern) in Boston, Massachusetts. Course content depends on instructor. Covers experiments reinforcing basic electronics topics such as diodes, bipolar junction transistors (BJT) as a switch, BJT amplifiers, and MOSFET circuits for switching and amplification. Search, 360 Huntington Ave., Boston, Massachusetts 02115 • 617.373.2000 • TTY 617.373.3768 © 2020-2021 Northeastern University. EECE 2530. Image Processing and Pattern Recognition. Introduces optimal quantization and PCM and DPCM systems. Provide tools and techniques needed to analyze and design power conversion circuits that contain switches. EECE 4574. Covers the fundamentals of algorithm analysis and complexity theory and then surveys a wide range of combinatorial optimization techniques, including exhaustive algorithms, greedy algorithms, integer and linear programming, branch and bound, simulated annealing, and genetic algorithms. Offers first- and second-year students an opportunity to pursue project and other independent inquiry opportunities under faculty supervision. Note: Printed catalogs do not contain course descriptions. ; and different thin film characterization technologies, in particular the magnetic thin film characterization technologies, including VSM, PPMS, FMR, MOKE, etc. EECE 2540. Includes receiver noise and sensitivity; transmitter range; spurious emissions and IM distortion; antennae and propagation in the atmosphere; wireless standards; multiple-access techniques; and software-defined radio. Arithmetic and Circuit Design for Inexact Computing with Nanoscaled CMOS. BIOE 5115 and EECE 5115 are cross-listed. 4 Hours. 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. Analyzes resistive and complex impedance networks. This course provides experience with the engineering design process, which spans significant areas of electrical and computer engineering. Introduction to Software Security. Supports class material related to transmission lines, wave-guiding structures, plane wave reflection and refraction, and antenna radiation. Offers a comprehensive introduction to the technology, theory, and applications of the most important electronic devices in today’s integrated circuits. Introduces the basic concepts related to circuits and circuit elements; current, voltage, and power; models for resistors, capacitors, and inductors; and circuit analysis using Kirchhoff’s laws. Introduces algorithm complexity analysis and its application to developing efficient algorithms. EECE 5697. EECE 2322. Reviews basic protective relaying and relay settings using typical distribution system examples. EECE 7374. Presents an overview of modern communication networks. EECE 4632. The course is initiated with a student-developed proposal, including expected learning outcomes and research products, which is approved by a faculty member in the department. 4 Hours. Topics include linearity, time invariance, causality, stability, convolution, system interconnection, and sinusoidal response. 4 Hours. 4.00 . The university catalog lists all of the courses that could potentially be offered at Northeastern University for the year. The first part of the course covers general aspects of wireless sensor networking, including protocol design, modeling, and simulation at all layers of the communication stack. 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. The first part of the course emphasizes understanding and modeling of such circuits, and provides a background for engineering evaluation of power converters. The resulting project is a tool capable of interpreting a subset of the C programming language and generating an executable program represented with MIPS assembly code. Course Offerings . 4 Hours. 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. 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. Expects students to evaluate progress with interim milestone reports and to present the final design project with written and oral reports. Reviews foundations of stochastic processes including stationarity, ergodicity, autocorrelation, power spectrum, and filtering. 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. EECE 5641. 4 Hours. EECE 5161. Introduces the programming tools, algorithms, and software tools used in data analytics. Emphasizes MOS devices, which are currently the dominant technology in integrated circuits. Offers an integrated lecture/lab course that covers circuit theory, signal processing, circuit building, and MATLAB programming. Parallel and Distributed Processing. Hardware-Software Codesign for FPGA-Based Systems. 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. Starts with the fundamental parameters of the antennas. ... EECE 7203 - Complex Variable Theory and Differential Equations . Access study documents, get answers to your study questions, and connect with real tutors for EECE 7352 : Computer Architecture at Northeastern University. Lab hours are arranged. Covers a structured digital CMOS design focusing on designing, verifying, and fabricating CMOS VLSI-integrated circuits and modules. 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. Specific topics include HW/SW codesign, buses and interfacing, C as a hardware description language, high-level synthesis, pipelining, hardware memory hierarchies, and computer arithmetic. Addresses novel applications of analytical and engineering techniques for RF/Microwave Circuits. 4.00 . EECE 4792. Highlights implementation of computer arithmetic and how it varies on different computer architectures. Introduces the fundamental physical principles for the electromagnetic radiation from antennas and presents the most important mathematical techniques for the analysis of the radiation. Introduction to Machine Learning and Pattern Recognition. 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. 4 Hours. Covers accelerating scientific and other applications on computer clusters, many-core processors, and graphical processing units (GPUs). 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. Amplifier circuits are introduced with the evaluation of voltage transfer characteristics and the fundamentals of small-signal analysis. 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. Requires lab session that includes computer exercises using CAD tools to design VLSI layouts and switch-level plus circuit-level simulations to design and analyze the project. Please email nucopycenter@northeastern.edu for details. EECE 2949. Healthcare Technologies: Sensors, Systems, and Analysis. Offered by the NSF Nanosystems Engineering Research Center for Translational Applications of Nanoscale Multiferroic Systems (TANMS) and co-taught by professors from UCLA, UC Berkeley, Cornell, California State University Northridge, and Northeastern University. May be repeated without limit. 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