northeastern eece tech electives

2 from EECE Technical Elective Level 1 Courses 2 from EECE Technical Elective Level 2 Courses *EECE Tech Elect *EECE Tech Elective Revised 5/24/10 *2 EECE technical electives can be from ECE Fundamentals, Level 1 or Level 2 offerings DRAFT ECE Tech. 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. Also provides a survey of the current state of the art in processor architectures and provides additional readings from recent research in the field. EECE 7242. EECE 5627. Examines the role of software and hardware in the design and use of real autonomous systems, including autonomous cars, autonomous underwater vehicles, and unmanned aerial systems. May be repeated up to two times. EECE 7399. Expects students to evaluate progress with interim milestone reports and to present the final design project with written and oral reports. Fundamentals of Electronics. Discusses probability, random variables, random processes, and their application to noise in electrical systems. Research Highlight. Thin films are fundamental building blocks for integrated circuits chips, microelectromechanical systems (MEMS) devices, and nanoelectromechanical system devices (NEMS), etc., and play critical roles in determining the performance of IC circuits, MEMS, and NEMS devices. Continues EECE 7202. EECE 7214. EECE 5626. Focuses on fundamental concepts of computer networks with a particular focus on the Internet. Biomedical Imaging. 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. Complex Variable Theory and Differential Equations. Statistical Inference: An Introduction for Engineers and Data Analysts. Basic concepts include general definitions and network organization. Through a mix of lectures and paper discussions, offers students an opportunity to learn how parallel computing systems work and review recent research related to scalability, energy efficiency, sustainability, resilience, and big data management. Examines common types of power system faults. 4 Hours. 4 Hours. CS 7140 and EECE 7397 are cross-listed. Course List; Code Title Hours; EECE 5552. Statistical Inference: An Introduction for Engineers and Data Analysts. Primarily covers both classic and timely techniques in the area of performance evaluation, including capacity planning to predict system performance, scheduling, and resource allocation in computer systems. Topics include atomic structure and bonding in materials, structure of materials, and crystal defects. Topics may vary from year to year. Human Sensing and Recognition. Department of Chemical Engineering. Presents impedance matching techniques. EECE 7336. Requires knowledge of basic probability. Topics include magnetics units, magnetic materials classification, origin of ferromagnetism and ferrimagnetism, magnetic anisotropies, magnetostriction, magnetic domain theory, ferromagnetic/ferrimagnetic resonance, soft magnetic materials, hard magnetic materials, applications of magnetic materials, information storage, and leading-edge research. Introductory Directed Research in Electrical and Computer Engineering. EECE 4574. Also studies uniform plane wave propagation along a coordinate axis and along an arbitrary direction; equivalent transmission lines for TEM, TE, and TM waves; reflection and refraction of uniform plane waves by conducting and dielectric surfaces. Complete 8 additional semester hours from either the depth or breadth course lists below. 4 Hours. The goal of computer vision is to make useful decisions about real physical objects and scenes based on sensed images. The first half of the course focuses on the compiler front end, based on a lexical analyzer, syntax parser, and intermediate code generator. 4 Hours. Information Theory. Parallel and Distributed Processing. Uses finite element and higher-order finite difference methods to solve problems in electrostatics and wave propagation. EECE 5552. Requires a working knowledge of C programming language. The uses of the building blocks are demonstrated for the design of popular ICs, such as operational amplifiers and voltage comparators. 4 Hours. 4 Hours. EECE 4626. Discusses applications to wave guides, resonators, optical fibers, and radiation and elementary antennas. 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. Students who do not meet course prerequisites may seek permission of instructor. Complete 4 semester hours from the breadth course list below. EECE or CCIS Technical Elective (4 or 5 SH) Choose one EECE Technical Elective not yet taken or choose one CCIS course from the list below. Probabilistic System Modeling and Analysis. 72% Upvoted. 4 Hours. Covers aspects of power electronics not studied in other courses. 4 Hours. Dissertation Term 1. I'm interested in Software Dev after graduation, so I thought taking EECE 4520 (Software Engineering 1) would be a good class to take. 4 Hours. After an introductory discussion of tissue properties, waves used in imaging, and contrast mechanisms, the course discusses modalities such as microscopy, endoscopy, x-ray, computed tomography, ultrasound, and MRI. Dynamical Systems in Biological Engineering. 4 Hours. EECE 5645. Analyzes resistive and complex impedance networks. Based on an integrative approach that requires minimal prerequisites: a junior-level course in signals and systems and some knowledge of electromagnetic field theory (possibly from physics classes), and does not require separate courses in electric machines, controls, or power electronics. 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. For program contact information, please visit this website. Lectures are supported by illustrative examples and hands-on exercises that rely on the use of MATLAB and are grounded in practical problems. Practical measurements include use of voltmeters, ammeters, ohm meters, and impedance meters, as well as oscilloscope measurements of frequency, gain, distortion, and upper- and lower-cutoff frequencies of amplifiers. 2020-21 Undergraduate PDF EECE 7202. Presents computer modeling of linear and nonlinear power system components to be used in transient studies. Topics include equivalence, reciprocity, uniqueness, Huygen’s principle, antenna impedance, and diffraction; linear, loop, array, and aperture antennas including horns, reflectors, lenses, and microstrip; transmitting and receiving antennas and transmission formulas; and numerical antenna analysis methods. Provides an introduction to lossless and lossy source coding and introduces Huffman and Lempel-Ziv algorithms. The Z-transform and the discrete-time Fourier transform are developed and applied to the analysis of discrete-time signals and systems. Various topics in linear and nonlinear optics are applied in such areas as birefringent filters, second-harmonic generators, optical parametric oscillators, and acousto-optical beam deflectors. 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. Covers Sturm-Liouville theory and uses it to develop eigen function and Green function solutions of homogeneous and inhomogeneous partial differential equations. Digital Communications. 4 Hours. Dynamical Systems in Biological Engineering: EECE 5550. Optimization problems arise ubiquitously in all areas of engineering and science. Offers analytical and/or experimental work conducted under the auspices of the department. 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. Offers students an opportunity to work in groups to complete a project in which they examine one modality in detail and either generate synthetic data using a computational model or process available image data. Students who have completed both EECE2560 and CS4800 will count EECE2560 as one of their EECE technical electives. 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. The goal of the field of computer vision is to make useful decisions about real physical objects and scenes based on sensed images. Requires concurrent registration in EECE 5581 for undergraduate students. Focuses on advanced topics related to computer engineering technology to be selected by instructor. Topics include modeling of information sources; entropy; rate distortion function; lossless and lossy source coding theorems; Huffman coding; Lempel-Ziv algorithm; scalar and vector quantization; digital modulation schemes and their spectral characterization including PAM, MPSK, QAM, OQPSK, MSK, pi/4-QPSK, CPFSK, CPM, and GMSK; and orthogonal, biortogonal, and simplex signaling. 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. Introduction to Machine Learning and Pattern Recognition. Requires a strong understanding of linear systems, transform techniques, and linear algebra. Electrical and Computer Engineering Capstone 1. EECE 2750. Applied Probability and Stochastic Processes. Presents methods to calculate fault currents and postfault bus voltages. Covers basic and advanced topics in imaging engineering. Special Topics in Computer Engineering. Provides an introduction to the theoretical analysis and modeling of dynamical systems in biology, ranging from molecular to population applications. Topics include sources of the electromagnetic field, Lorentz force equation, integral form of Maxwell’s equations and point relations (differential equations and boundary conditions), electromagnetic energy and power, propagation of uniform and nonuniform plane waves in homogeneous media, reflection and refraction, scalar and vector potentials, solutions in the absence of boundaries for static and dynamic problems, solutions to boundary value problems, duality, uniqueness, images, physical theory of diffraction, and general theory of metal and dielectric wave-guides and resonators for Cartesian and cylindrical systems. Requires permission of instructor. Reviews communication system basics, modulation and demodulation, architectures of receivers and transmitters, and system performance. Devotes the last third of the semester largely to projects involving design of MEMS devices to specifications in a realistic fabrication process. EECE 7352. 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. 4 Hours. Introduces basic concepts and recent developments in nanophotonic materials and devices. 0 Hours. Offers analytical and/or experimental work leading to a written report and a final short presentation by the end of the semester. May be repeated without limit. Includes lectures on different magnetic sensors—including AMR, GMR, TMR, fluxgate, magnetoelectric sensors, etc.—and on microwave magnetic devices—including tunable filters, phase shifters, isolators, circulators, etc. Emphasizes practical robot applications ranging from disaster response to healthcare to space exploration. Comprises the theory of functions of a complex variable. EECE 4646. Elective. 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. These laboratory exercises require students to design, construct, and debug hardware and software that runs on an embedded platform. Focuses on applications, including control and filter design subject to information flow constraints, subspace clustering and classification on Riemannian manifolds, and activity recognition and classification and anomaly detection from video sequences. PHYS 3602. EECE 5640. Presents applications tospecific systems such as fiber-optic communication, medicalimaging systems, fiber-optic sensors, and laser radar. Also introduces students to the problems and current research in the provision of quality of service (QoS) in wireless networks. 4 Hours. EECE 2560. Highlights implementation of computer arithmetic and how it varies on different computer architectures. No Ratings. 4 Hours. May be repeated without limit. May be repeated up to four times. Digital electronics topics include CMOS logic gates, dynamic power dissipation, gate delay, and fan-out. Covers simple adaptive systems, adaptive observers, and adaptive control. 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. Develops the Fourier and Laplace transforms for the discussion of frequency-domain applications. 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. Considers the efficient generation of optimal solutions, the development and evaluation of heuristics, and the computation of tight upper and lower bounds. Offers students an opportunity to program using assembly language and to simulate execution. EECE 7244. EECE 2412. Employs microwave CAD tools in design projects as well as in-class case-study examples. Topics include fundamentals of Lyapunov theory; absolute stability, passivity, averaging, singular perturbation, input-output stability, and other advanced stability topics; describing functions; nonlinear control methods based on linearization, feedback linearization, sliding control, Lyapunov, and passivity and center manifold theory and bifurcations. Covers the design and implementation of algorithms to solve engineering problems using a high-level programming language. Focuses on the theory of ordinary and partial differential equations of mathematical physics. CS 3200 Database Design 4. Covers examples from a variety of scientific, medical, interactive multimedia, and artistic applications. 8: Course Lists Depth Courses. EECE 2150. Consists of a comprehensive laboratory performed by a team of students. Requires solid knowledge of digital system design, integrated circuits synthesis flow, and embedded systems recommended. Offers students an opportunity to obtain practical knowledge in computer vision and to develop skills for being a successful researcher in this field. Seeks to provide students with the opportunity to develop an understanding of pn junctions, bipolar junction transistors, and MOSFETs. Operating Systems: Interface and Implementation. An ECE education prepares students for any technical career, a career in a related field, or graduate study. EECE 7245. EECE 7247. The BS in Computer Engineering degree requires a sequence of core courses, technical electives, general electives, and electives in the arts and humanities and social sciences. Introduces fundamental theoretical and algorithmic concepts behind numerical optimization theory for objective functions with finite numbers of parameters. Introduction to Microelectromechanical Systems (MEMS). Administrative policies, academic curricula, and course descriptions. Lab hours are arranged. View Research Centers and Institutes . Presents materials in the current machine learning literature. Covers introduction to multiferroics, atomic structure of multiferroics (chemistry), multiferroic material science, continuum-level analysis of multiferroic materials, and multiferroic devices. Assistive Robotics. Students are expected to present their results and findings and submit a written report. An additional 4SH of credits will be allowed as a general elective. 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. INFO 7300. A maximum of 8 semester hours of nontechnical electives may be taken. Note: Depth courses cannot be taken for breadth. EECE 7228. This course focuses on the science and engineering fundamentals of photovoltaic solar energy devices and … Continues EECE 4790. Covered IC building blocks include current sources and active loads, differential stages, cascode configurations, gain stages, and output stages. EECE 7311. 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. Northeastern University’s Bioengineering Program provides a broad-based, interdisciplinary engineering curriculum that offers a rigorous yet flexible education. May include additional topics at instructor’s discretion. EECE 7237. Assistive Robotics (Principles of Assistive Robotics) EECE 5627. Circuits and Signals: Biomedical Applications. Studies machine learning (the study and design of algorithms that enable computers/machines to learn from experience/data). Introduces optimal quantization and PCM and DPCM systems. Exercises are centered around a common embedded platform. Enabling Engineering. Seeks to prepare students to do research in machine learning. Introduces the programming tools, algorithms, and software tools used in data analytics. Programming is done in variants of the C programming language. EECE 2210. Wireless Communication Circuits. I graduate in Spring 2019, so I don't have time to take many more classes. Introduces the fundamental physical principles for the electromagnetic radiation from antennas and presents the most important mathematical techniques for the analysis of the radiation. At most one of these courses (4SH) can be taken in a semester. May be repeated without limit. Focuses on using real large-scale robotics systems in real-world settings. Demonstrates discrete-time linear filter design on acquired signals in the MATLAB environment. 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. 4 Hours. 4 Hours. Refer to the Schedule of Classes. CS 4400 Programming Languages 4. Additional topics include the asymptotic behavior of probabilistic systems, including stochastic approximation/Robbins-Monro type algorithms, and ODE/fluid limits. Offers independent work under the direction of members of the department on a chosen topic. Fundamentals of Digital Design and Computer Organization. Uses the ideal operational amplifier model, focusing on differential amplifiers and active filter circuits. Covers Kalman filters and particle filters as applied to the SLAM problem. Accompanies EECE 5684. Requires a basic knowledge of calculus and linear algebra. Studies building block realizations for modulators and demodulators for analog (AM, FM) and digital (ASK, PSK, FSK) radio. 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. EECE 7297. CS 3800 Theory of Computation 4. EECE 9991. Search, 360 Huntington Ave., Boston, Massachusetts 02115 • 617.373.2000 • TTY 617.373.3768 © 2020-2021 Northeastern University. EECE 3468: 4: ECE Tech Elective: 4 EECE 4792 (EI, CE, WI) 4: Music in Context: 4 Music Tech Elective: 4: Music Elective: 4 Music Theory Course: 4: Music Theory Course: 4 16 16 Total Hours: 136: Northeastern University. Topics include modeling and layout of CMOS, bipolar, BiCMOS devices, and passive components; DC building blocks, including precision current and voltage references; performance analysis of signal gain, impedances, and frequency response and speed of basic/compound amplifier structures; architectures of operational amplifiers, including low-voltage, OTAs, and three-stage designs; feedback and performance merits, topologies, instability, and frequency compensation of feedback amplifiers; nonlinear and analog computation IC functions; noise in ICs, physical origins and device modeling , noise circuit analysis, SNR and NF, and techniques for the enhancement of system noise performance. Presents the theory and practice of modern signal processing techniques. 4 Hours. Covers the fundamentals of vacuum technology, thin film deposition technologies, characterization technologies, their applications in different industries, and the frontiers of research activities on thin film deposition technologies. 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. Students should consult their faculty advisor regarding these options. Discusses the fundamentals of electromagnetics (Maxwell’s equations, polarization, wave propagations, etc. Performance analysis is another fundamental theme of this course. EECE 7205. Illustrates how these modeling techniques can be applied in modeling real systems and adaptive algorithms, including queueing systems, distributed systems, and online learning algorithms like stochastic gradient descent. Offers theoretical or experimental work under individual faculty supervision. Covers a range of algorithms, focusing on the underlying models between each approach. Has anyone taken it before that would recommend it? Topics include atomic structure and bonding in materials, structure of materials, and crystal defects. Topics covered include line-search and trust-region strategies, gradient descent and Newton methods and their variations, linear and quadratic programming, penalty-augmented Lagrangian methods, sequential quadratic programming, and interior point methods. Applies these principles and techniques to practical antenna systems. Covers the fundamental elements of solid-state device physics and the application of these principles. CS 4520 Mobile Application Development 4. Addresses concepts such as hypothesis testing, Bayesian principles, likelihood functions, sufficient statistics, optimal estimation, and prediction. Circuits and Signals: Biomedical Applications. EECE 2150, EECE 2412, EECE 2413, EECE 2520, EECE 3468* *May be replaced with another probability course: PlusOne in Electrical and Computer Engineering, Concentration in Computer Networks and Security: EECE 2150, EECE 2160, EECE 2412, EECE 2413, and two of the following: EECE 2322 (with EECE 2323), EECE 2540, or EECE 2560 EECE 4694. EECE 2150, EECE 2412, EECE 2413, EECE 2520, EECE 3468* *May be replaced with another probability course: PlusOne in Electrical and Computer Engineering, Concentration in Computer Networks and Security: EECE 2150, EECE 2160, EECE 2412, EECE 2413, and two of the following: EECE 2322 (with EECE 2323), EECE 2540, or EECE 2560 Design of Analog Integrated Circuits with Complementary Metal-Oxide-Semiconductor Technology. Discusses basic properties of entropy and mutual information, Shannon’s fundamental theorems on data compression and data transmission in the single-user case, binning, and covering lemmas. Find A-Z • 4 Hours. Introduces linear regulators, switching converters, switched-capacitor converters, voltage references, energy harvesters, and battery chargers. 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. Introduces basic concepts of digital communication over additive white Gaussian noise (AWGN) channels. EECE 5644. Elective. 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. Covers topics from the course through various experiments. 0 Hours. Computer vision brings together imaging devices, computers, and sophisticated algorithms to solve problems in industrial inspection, autonomous navigation, human-computer interfaces, medicine, image retrieval from databases, realistic computer graphics rendering, document analysis, and remote sensing. Advanced Engineering Algorithms. Course projects emphasize model-based control of humanoids for completing practical tasks from space exploration to disaster response. 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. 4 Hours. Explores state-space, time-domain techniques for analyzing and designing optimal and robust linear control systems. Continues with a discussion on the physical origins of noise and models of where it is encountered in electronic devices, signal processing, and communications. Offers an up-to-date account of the strategies utilized in state estimation of electric power systems. 4 Hours. EECE 7337. Identification is the process of mathematically modeling a system based on measurement data that may be limited or uncertain. Delves into the protocol stack following a top-down approach, covering the application layer (with Internet applications); the transport layer, with its functions and services (e.g., the TCP protocol); the network layer, with a discussion on forwarding and routing and the IP protocol; and the data link layer, with an emphasis on multiaccess. 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. 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. EECE 4520. Offers students an opportunity to fabricate micro- and nanoscale devices in integrated lab sessions. 4 Hours. EECE 4632. Topics include tools and techniques for practical visualization and elements of related fields, including computer graphics, human perception, computer vision, imaging science, multimedia, human-computer interaction, computational science, and information theory. Access study documents, get answers to your study questions, and connect with real tutors for EECE 2210 : Electrical Engineering at Northeastern University. Satisfy both this course and EECE 4790 present the final exercise is a project is assigned that involves the of. Association with techniques and protocols in first- and second-generation northeastern eece tech electives and filters high-speed digital circuits ) S-parameters, high-frequency analysis. That jointly covers hardware and software that drives it, practical design, analysis, practical design and... Wide variety of scientific, medical, interactive multimedia, and device mismatches from process variations applications to the problem... 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