Offers elective credit for courses taken at other academic institutions. Lectures are supported by illustrative examples and hands-on exercises that rely on the use of MATLAB and are grounded in practical problems. 4 Hours. Demonstrates discrete-time linear filter design on acquired signals in the MATLAB environment. Computational Methods for Data Analytics. Micro- and Nanofabrication. EECE 7247. Elective: Complete 8 additional semester hours from either the depth or breadth course lists below. 4 Hours. Includes hands-on exercises and class exercises around challenges defined by the instructor or by guest lecturers. Requires a basic knowledge of calculus and linear algebra. Topics may include humanoid designs, software and hardware architectures, sensing and perception, motion planning and control, high-level task planning and control, grasping and manipulation, benchmarking, and experimental methods. 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. Introductory Directed Research in Electrical and Computer Engineering. EECE 7250. Topics include atomic structure and bonding in materials, structure of materials, and crystal defects. Note: Depth courses cannot be taken for breadth. For program contact information, please visit this website. Dissertation Term 2. Offers students an opportunity to fabricate micro- and nanoscale devices in integrated lab sessions. Finishes with design and performance of microwave oscillators. 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. Image Processing and Pattern Recognition. Introduces fundamentals of statistical inference and data analysis through concepts of detection, estimation, and related signal processing algorithms. EECE 432 - Physics & Tech of Solar Cells. Offers an up-to-date account of the strategies utilized in state estimation of electric power systems. EECE 2949. It must be noted that ECE 403, ECE 404, and ECE 405 (cross-listed with PHYS 358, 233, and 256, respectively) do not count as technical electives; they are List-1 Natural Science Electives ().. Other ECE courses acceptable as technical electives for electrical engineering students. Includes attendance at Distinguished Lecture Series (DLS). Healthcare Technologies: Sensors, Systems, and Analysis. Any recommendations for a good EECE tech elective to take? Presents many of the issues involved in the design and analysis of new and evolving computer architectures. Presents applications tospecific systems such as fiber-optic communication, medicalimaging systems, fiber-optic sensors, and laser radar. 4 Hours. EECE 2160. 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. EECE 5580. EECE 7203. Studies machine learning (the study and design of algorithms that enable computers/machines to learn from experience/data). 4 Hours. Please do not petition to take these courses, as any petition to take these courses will be automatically rejected. Studies microwave filters, narrowband and broadband amplifiers, their gain and stability, impedance matching, and noise performance, as well as mixers and frequency-conversion techniques. Covers various levels of system design, from modulation/detection to traffic analysis. Enabling Engineering. ; and different thin film characterization technologies, in particular the magnetic thin film characterization technologies, including VSM, PPMS, FMR, MOKE, etc. 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. Includes a software development project that covers all the stages of the life cycle. Covers design and modeling of architectures, communication protocols, and algorithms for wireless sensor networks. 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. Successful students should be able to understand the design trade-offs in designing, engineering, and operating large-scale parallel computing systems. EECE 9990. Introduction to Machine Learning and Pattern Recognition. Emphasizes several topics essential to the practice of VLSI design as a system design discipline including systematic design methodology, good understanding of CMOS transistor, physical implementation of combinational and sequential logic network, and physical routing and placement issues. Explores differential signal processing, operational amplifiers, operational transconductance amplifiers, and common-mode feedback circuits. Accompanies EECE 5680. Topics include, Apache Spark fundamentals, multithreaded/cluster execution, resilient distributed data structures, map-reduce operations, using key-value pairs, joins, convex optimization, gradient descent, linear regression, Gauss-Markov theorem, ridge and lasso regularization, feature selection, cross validation, variance vs. bias trade-off, classification, logistic regression, ROC curves and AUC, matrix and tensor factorization, graph-parallel algorithms and sparsity, Perceptron algorithm, and deep neural networks. 4 Hours. Research Laboratory Project. High-Level Design of Hardware-Software Systems. 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. EECE 7312. Electives. EECE 7242. 72% Upvoted. Studies simulation and performance evaluation in computer 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. 4 Hours. Methodology includes lectures, textbooks, and emphasis on readings from relevant literature. Course content depends on instructor. Topics include atomic structure and bonding in materials, structure of materials, and crystal defects. EECE 7224. 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. Probabilistic System Modeling and Analysis. EECE 4646. Requires a strong understanding of linear systems, transform techniques, and linear algebra. Introduction to Multiferroics Materials and Systems. 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. 4 Hours. Northeastern Technical College is a post-secondary institution which is accredited by the Commission on Colleges of the Southern Association of Colleges and Schools to award associate degrees, diplomas, and certificates. Covers biomedical optics and discusses the theory and practice of biological and medical applications of lasers. Offers an opportunity to conduct research in a laboratory setting under faculty supervision. Optical Properties of Matter. 2020-21 Course Descriptions PDF, Electrical and Computer Engineering with Concentration in Communications, Control, and Signal Processing, MSECE. Uses hardware description languages to describe and design both behavioral and register-transfer-level architectures and control units. 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. 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 No Ratings . 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. CS 4400 Programming Languages 4. Offers students a hands-on experience developing a remote-controlled robotic arm using an embedded systems platform. Digital Communications. Covers methods of digital simulation of power systems operating in the steady-state and transient conditions. Addresses concepts such as hypothesis testing, Bayesian principles, likelihood functions, sufficient statistics, optimal estimation, and prediction. 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 5626. 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. 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. EECE 5644. Advanced Power Electronics. 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 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. Includes attendance at Distinguished Lecture Series (DLS). Northeastern combines rigorous academics with experiential learning and research to prepare students for real-world engineering challenges. EECE 5638. 5 EECExxxx; CE Fundamentals 4/5; ENCP3000 … Introduces analog integrated circuits (ICs) concepts with bipolar and field effect transistor devices. Operating Systems: Interface and Implementation. EECE 2150. EECE 7297. EECE 4542. Special Topics in Computer Engineering. Presents established numerical methods for iterative unconstrained and constrained optimization. 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. Everything offered this semester is either way out of my interest zone or I've already taken it. 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. EECE 2210. Offers students an opportunity to learn how the security of systems can be violated and how such attacks can be detected and prevented. Two of these five courses may be used as Technical Electives for electrical engineering students: Covers a structured digital CMOS design focusing on designing, verifying, and fabricating CMOS VLSI-integrated circuits and modules. Focuses on using real large-scale robotics systems in real-world settings. These problems arise in a wide range of disciplines–including computer-aided design, parallel computing, computer architecture, and compiler design–and are usually NP-complete, making it unlikely that optimal solutions can be found in a reasonable amount of time. Fundamentals of Electromagnetics. Thesis Continuation. 2019–2020 Catalog and Course Descriptions . These could include writing a compelling technical paper or a winning proposal for external funding, making a compelling oral presentation for a job interview or thesis defense, or presenting arguments to a CEO about strategic directions for a complex project. 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 4604. The master's degree program in electrical and computer engineering offers in-depth course work within the concentration-choice-related areas. These topics lay a foundation for thermal and electronic conduction, which is the underlying physics of electronic devices. Emphasis is on the interaction of electromagnetic waves and the crystal lattice. Complex Variable Theory and Differential Equations. Covers wireless standards, multiple-access techniques, and recent advances if time permits. Analysis of Unbalanced Power Grids. Addresses some advanced design techniques, such as linearity improvement methods, frequency compensation, and digitally assisted performance tuning. Topics covered include parallel computer architecture, parallel programming models, and theories of computation, as well as models for many-core processing. Covers the fundamental elements of solid-state device physics and the application of these principles. Also discusses the applications of algorithm analysis and complexity theory to analyzing and solving problems. Examines important electrodynamic applications by the use of advanced mathematical techniques. Solid State Devices. Circuits and Signals: Biomedical Applications. 4 Hours. Presents the fundamental theory and properties of antennas. Addresses novel applications of analytical and engineering techniques for RF/Microwave Circuits. EECE 2300. Covers Cauchy’s integral and related theorems, Taylor and Laurent series, analytic continuation, and multivalued functions. 4 Hours. 4 Hours. EECE 5552. The latter half of the course deals with an introduction to state-of-the-art electronic materials, including semiconductor nanoelectronics, magnetic semiconductors and Spintronics, molecular electronics, carbon nanotubes, conducting polymers, graphene and graphane, and other topics representing recent technological breakthroughs in the area of electronic materials. The Capstone Design Courses are taken as follows: (EECE4790 - Summer 1 and EECE4792 - Spring) OR (EECE4790 - Summer 2 and EECE4792 - Fall) * ENGW3315. 4 Hours. EECE 9996. EECE 3468. 4 Hours. Offers a basic treatment of electronic materials from atomic, molecular, and application viewpoints. Presents an overview of modern communication networks. Provides an overview of integrated circuit fabrication from the viewpoint of a process engineer. EECE 5642. 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. Covers common programming, configuration, and design mistakes and examines possible protection and detection techniques.Uses examples to highlight general error classes. Offers an opportunity to conduct research under faculty supervision. Topics include practical examples based on LLVM, a popular intermediate language specification and tool chain. Students who have completed CS3700 can count this as an CS Technical elective. Presents the basic optical concepts necessary for anunderstanding of current and future optical communication,remote sensing, and industrial and biomedical systems. Enhances the underlying basic ideas that are essential for adaptive control. Refer to the Schedule of Classes. 4 Hours. Classical Control Systems: EECE 5610. May be repeated without limit. 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. Introduces basic concepts of linearity and time-invariance for both continuous and discrete-time systems and concepts associated with analog/digital conversion. Search, 360 Huntington Ave., Boston, Massachusetts 02115 • 617.373.2000 • TTY 617.373.3768 © 2020-2021 Northeastern University. Studies the principles of inexact (approximate) computing through arithmetic and circuit design. I graduate in Spring 2019, so I don't have time to take many more classes. Requires students to design and implement the project proposed in that earlier course. Presents solutions to problems in electromagnetics using a wide variety of numerical and computational methods. 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. Offered every spring semester. ); quantum mechanics; and typical nanofabrication and characterization techniques. Requires a Bachelor of science in engineering or physics. Robotics Sensing and Navigation. BIOE 5115 and EECE 5115 are cross-listed. 4 Hours. 4 Hours. Complete 8 additional semester hours from either the depth or breadth course lists below: Course Lists Depth Courses. 4 Hours. EECE 2412. Starts with a detailed description of three-phase modeling of basic power system elements such as transmission lines, transformers, and generators. 4 Hours. Fundamentals of Computer Networks. Every year, many students at McGill University search for easy classes or electives. Students must apply and be admitted to the Gordon Engineering Leadership Program in order to pursue this option. EECE 5666. 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. Studies lasers and other light sources, opticalfibers, detectors, CCD cameras, modulators, and othercomponents of optical systems. No Ratings. 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. Requires an undergraduate course in communications systems. 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. 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. 4 Hours. EECE 5652. The integrated 48-semester-hour degree and certificate will require 32 semester hours of advisor-approved communications, control, and signal processing technical courses. Elective. 32 total semester hours required Minimum 3.000 GPA required, myNortheastern • Topics include all aspects of the system including the microprocessor, memory, I/O, and networking. Master's Degree in Electrical and Computer Engineering with a Concentration in Communications, Control, and Signal Processing with Graduate Certificate in Engineering Leadership. Covers the structure and implementation of a modular compiler. 4 Hours. 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. 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. Introduces the vector potentials and the theorems that are needed for the derivation of the radiation integrals from Maxwell’s equations. EECE 7323. EECE 7336. 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. By reducing circuit complexity, critical path delay, and power dissipation at the expense of introducing processing errors in computation, inexact computing is one of the leading emerging paradigms in nanoscale computing. 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. 4 Hours. EECE 5161. EECE 4626. Covers theoretical analysis, practical design, and simulation of analog integrated circuits implemented in complementary metal-oxide-semiconductor (CMOS) fabrication process technologies. Investigates the science and engineering of mobile robots. 4 credits. 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. 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