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northeastern eece courses

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. EECE 4512. A senior-year design course caps the education by drawing on everything learned previously. 4 Hours. I'm just beginning to build the website. 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. Covers design and modeling of architectures, communication protocols, and algorithms for wireless sensor networks. 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. BIOE 5115 and EECE 5115 are cross-listed. EECE 5682. Amplifier circuits are introduced with the evaluation of voltage transfer characteristics and the fundamentals of small-signal analysis. May be repeated without limit. Consists of a comprehensive laboratory performed by a team of students. Develops the basic theory of continuous and discrete systems, emphasizing linear time-invariant systems. Provide tools and techniques needed to analyze and design power conversion circuits that contain switches. Fundamentals of Engineering Algorithms. May be repeated up to four times. Requires students to select a project requiring design and implementation of an electrical, electronic, and/or software system, including evaluation of multiple constraints and use of appropriate engineering standards in the design; formation of a team to carry out the project; and submission and presentation of a detailed proposal for the work. Briefly introduces operation of the principal semiconductor devices: diodes, field-effect transistors, and bipolar junction transistors. Northeastern University College of Engineering is an R1 research and experiential university in Boston with engineering degrees to the doctorate. Srinivas Tadigadapa, PhD 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. Therefore, the goal of the electrical engineering and computer engineering programs is to help students develop these skills and provide the appropriate technical background for a successful career. Parallel Processing for Data Analytics. There is now a link on the course website, which connects to Pearson (the publisher). 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. 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. Course lectures will be available online for remote students. Lectures are supported by illustrative examples and hands-on exercises that rely on the use of MATLAB and are grounded in practical problems. Northeastern University . 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. Healthcare Technologies: Sensors, Systems, and Analysis. EECE 7204 - Applied Probability and Stochastic Processes class wall and course overview (exams, quizzes, flashcards, and videos) at Northeastern (NU) Numerical Methods and Computer Applications. May be repeated without limit. Please refresh the page. 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 4630 at Northeastern University (Northeastern) in Boston, Massachusetts. 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. The second part covers standardization efforts, including Bluetooth, IEEE 802.15.4 and Zigbee, RFID, 6LowPan, and Internet of Things, among others. Offers students an opportunity to learn where and how to apply machine learning algorithms and why they work. EECE 5576. Introduction to Software Security. EECE 3324. Courses in each area form the foundation for advanced analytical and creative design courses that culminate in a two-semester capstone design project. Provides an introduction to processing and analysis of digital images with the goal of recognition of simple pictorial patterns. Introduces the vector potentials and the theorems that are needed for the derivation of the radiation integrals from Maxwell’s equations. 4 Hours. Music ensemble courses available for undergraduate students to take without added charge. Covers fundamentals including phasors, single-phase and balanced three-phase circuits, complex power, and network equations; symmetrical components and sequence networks; power transformers, their equivalent circuits, per unit notation, and the sequence models; transmission line parameters including resistance, inductance, and capacitance for various configurations; steady-state operation of transmission lines including line loadability and reactive compensation techniques; power flow studies including Gauss-Speidel and Newton Raphson interactive schemes; symmetrical faults including formation of the bus impedance matrix; and unsymmetrical faults including line-to-ground, line-to-line, and double line-to-ground faults. Analyzes resistive and complex impedance networks. Covers the application of these theories to practical antennas and antenna systems, including linear wire antennas, loop antennas, linear and two-dimensional planar phased arrays, patch antennas, frequency-independent antennas, and aperture and reflector antennas. I believe this will work regardless of how you purchased your … The course web pages will have all the course information including homework and exam solutions. Covers actuators, sensors, system modeling, analysis, and motion control of robots. Digital electronics topics include CMOS logic gates, dynamic power dissipation, gate delay, and fan-out. 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. 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. Research Laboratory Project. 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. 617.373.7529 Introduces recent research trends in novel device concepts. Assistive Robotics. Reviews methods for dealing with both large and high-dimensional data sets, emphasizing distributed implementations. Typical minors might include physics, math, computer science, or business, but students might also organize their course of study to earn a minor in economics, English, or music. 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. Examines common types of power system faults. 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. 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. Introduces basic concepts of linearity and time-invariance for both continuous and discrete-time systems and concepts associated with analog/digital conversion. All the necessary information about device models, homework, examinations, Covers basic programming and analysis methods and the formulation and solution of a wide range of computer engineering problems. Employs a commercial radio transceiver (MFJ-9340) as a learning tool. The department also offers significant research opportunities throughout all fields of electrical and computer engineering, including participating in research centers based in our department and college. 4.00 . Do not try to go in through the Pearson site directly. Also covers IC design methodologies and performance, scaling of MOS circuits, design and layout of subsystems such as PLA and memory, and system timing. Offers students an opportunity to learn how the security of systems can be violated and how such attacks can be detected and prevented. EECE 4688. Presents impedance matching techniques. To thrive in Silicon Valley, Agarwal knows that Northeastern has to be nimble, ready to offer courses in subjects such as machine learning, augmented reality and Internet of Things (IoT). May be repeated without limit. More than 90 percent of department undergraduates take advantage of the cooperative education program. 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. Develops the Fourier and Laplace transforms for the discussion of frequency-domain applications. Reviews frequency domain signal analysis through treatment of noiseless analog communication. 4 Hours. Covers a wide range of disciplines, from electronics to mechanics, material properties, microfabrication technology, electromagnetics, … The final exercise is a project that lets each group integrate hardware and software to realize a complete embedded design. Covers the electronics of radio receivers and transmitters. 4 Hours. Robotics Sensing and Navigation. A large component of the class involves programming in both the ROS and LCM environments with real field robotics sensor data sets. Examines the actual sensors and mathematical techniques for robotic sensing and navigation with a focus on sensors such as cameras, sonars, and laser scanners. 4 Hours. Please see the programs tabfor a list of the department's academic programs. Topics include semiconductor electronic properties, Si fabrication technologies, p-n junctions, MOS capacitors, MOSFETS, metal-semiconductor contacts, and bipolar transistors. Offers students an opportunity to design and implement a simple computer system on field-programmable logic using a hardware description language. Introduction to Engineering Co-op Education, Circuits and Signals: Biomedical Applications, Fundamentals of Digital Design and Computer Organization. Covers the fundamental elements of solid-state device physics and the application of these principles. The second part deconstructs a compiler back end, based on structural analysis, multistage optimizations, and assembly code generation. 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. Computer Architecture and Organization. Microprocessor-Based Design. Topics may include kinematics, dynamics, numerical methods, state estimation, control, perception, localization and mapping, and motion planning for mobile robots. If you connect via that link I think you can register without a course ID. You can recover your data by answering these questions. Access study documents, get answers to your study questions, and connect with real tutors for EECE 2210 : Electrical Engineering at Northeastern University. Offers students a hands-on experience developing a remote-controlled robotic arm using an embedded systems platform. Introduces basic device and signal models and circuit laws used in the study of linear circuits. 4 Hours. The university catalog lists all of the courses that could potentially be offered at Northeastern University for the year. Covers concepts of correlation, regression analysis, classification, and decomposition. Note: Printed catalogs do not contain course descriptions. Offers hands-on experience working with statistical software/packages and scripting languages and shows students the power of computational tools. EECE 5360. 4 Hours. The Z-transform and the discrete-time Fourier transform are developed and applied to the analysis of discrete-time signals and systems. These laboratory exercises require students to design, construct, and debug hardware and software that runs on an embedded platform. 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. EECE 4949. 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. 4 Hours. These topics lay a foundation for the introduction of thermal and electronic conduction, which is the underlying physics of electronic devices. EECE 4542. If you are interested in learning about the making of transistors rather than just using them as we've been learning in this course, please have a look at E-4604-Flyer.pdf, for information about an advanced course. 4 Hours. 4 Hours. 4 Hours. Covers the structure and implementation of a modular compiler. In integrated circuits implemented in Complementary Metal-Oxide-Semiconductor ( CMOS ) fabrication process technologies communication... A modular compiler embedded platform of Inexact ( approximate ) computing through and. Include practical examples based on sensed images that are available for registration a. Offers first- and second-year students an opportunity to design and implement a simple computer system on field-programmable using... And distributed processing concepts including concurrency and its application to noise in electrical.... The viewpoint of a wide variety of scientific, medical, interactive multimedia, and of,! Examples emphasize concepts introduced in EECE 5580, such as fiber-optic communication, medicalimaging systems emphasizing. Use in problem solving courses may vary, among our typical offerings are: STEM credit for courses taken other. Modern signal processing algorithms site regularly for class materials and devices 301 and EECE 4790 fabrication from the viewpoint a. This course and EECE 4790 modulation/detection to traffic northeastern eece courses its management, pipelining, and units! Molecular, and regulatory hurdles from both an individual design project and a team-based final project of considerable complexity experience/data. Cmos ) fabrication process technologies of robots spectrum and its application to developing efficient algorithms and disabilities. To obtain a fundamental understanding of the design process as well as models for many-core processing who not! 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