northeastern eece courses

Includes hands-on exercises and projects. Exercises are centered around a common embedded platform. EECE 5697. 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. May be repeated without limit. 4 Hours. Several courses are also available 100% online, allowing you to tailor your coursework to your schedule. 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 Lab for EECE 2530: 5: Computer Engineering Fundamentals: If more than one computer engineering fundamentals course is taken, it can count as a technical elective. Electronic Materials. Presents impedance matching techniques. 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. Provide tools and techniques needed to analyze and design power conversion circuits that contain switches. Covers diode circuits in detail; the coverage of transistor circuits focuses mainly on large-signal analysis, DC biasing of amplifiers, and switching behavior. Discusses the fundamentals of electromagnetics (Maxwell’s equations, polarization, wave propagations, etc. Briefly introduces operation of the principal semiconductor devices: diodes, field-effect transistors, and bipolar junction transistors. Begins design exercises and tutorials with basic inverters and proceeds to the design, verification, and performance of large, complex digital logic networks. Introduces the analysis and design of classical control systems. Although courses may vary, among our typical offerings are: STEM. Accompanies EECE 5580. Covers the practical aspects of control systems design through lab experiments. EECE 7201 at Northeastern University (Northeastern) in Boston, Massachusetts. Covers Kalman filters and particle filters as applied to the SLAM problem. Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. Studies lasers and other light sources, opticalfibers, detectors, CCD cameras, modulators, and othercomponents of optical systems. Introduces fundamentals of statistical inference and data analysis through concepts of detection, estimation, and related signal processing algorithms. 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. 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. (26 Nov 2018) We have official confirmation of our final exam, Thursday, 6 … Introduces robotics analysis covering basic theory of kinematics, dynamics, and control of robots. Introduces processing and analysis of digital images with the goal of recognition of simple pictorial patterns. EECE 5652. The second part covers standardization efforts, including Bluetooth, IEEE 802.15.4 and Zigbee, RFID, 6LowPan, and Internet of Things, among others. Introduces modern techniques (computational methods) and applications (optics, bioelectromagnetics, and electromagnetic effects in high-speed digital circuits). 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. Focuses on the hardware and software design for devices that interface with embedded processors. Covers fundamental DC and AC electrical concepts as well as analog and digital electronics. Embedded Design: Enabling Robotics. 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. Analyzes resistive and complex impedance networks. EECE 5642. Presents the theory and practice of modern signal processing techniques. Microwave Circuits and Networks. Please refresh the page. EECE 4790. EECE 5640. EECE 5666. 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. 4 Hours. Introduces the vector potentials and the theorems that are needed for the derivation of the radiation integrals from Maxwell’s equations. The textbook, is Hambley, Electronics , Second Edition. Introduces topics such as image formation, segmentation, feature extraction, matching, shape recovery, dynamic scene analysis, and object recognition. Employs a commercial radio transceiver (MFJ-9340) as a learning tool. Numerical Methods and Computer Applications, Electrical and Computer Engineering Capstone 2, Dynamical Systems in Biological Engineering, Wireless Sensor Networks and the Internet of Things, Introduction to Multiferroics Materials and Systems. 4 Hours. Special Topics in Computer Engineering. Reviews basic circuit analysis techniques. EECE 5626. Offers students a hands-on experience developing a remote-controlled robotic arm using an embedded systems platform. Biomedical Imaging. Courses in each area form the foundation for advanced analytical and creative design courses that culminate in a two-semester capstone design project. Potential project topics include (but are not limited to) computer vision, cryptography, machine learning, and wireless communications. Considers the efficient generation of optimal solutions, the development and evaluation of heuristics, and the computation of tight upper and lower bounds. Integrated Circuit Devices. Successful engineers need to organize and adapt information to solve problems. Statistical software/packages and scripting languages and shows students the power of computational tools discipline. And object recognition a complete embedded design guide groups through the implementation of a wide variety modalities! Group integrate hardware and software tools used in association with techniques and algorithms for sensor! 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