Lectures are supported by illustrative examples and hands-on exercises that rely on the use of MATLAB and are grounded in practical problems. Uses symmetrical component transformation and positive, negative, and zero sequence networks to analyze unbalanced systems. Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. The Z-transform and the discrete-time Fourier transform are developed and applied to the analysis of discrete-time signals and systems. 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. Topics include discrete signals and systems in 2-D, digital images and their properties, image digitization, image enhancement, image restoration, image segmentation, feature extraction, object recognition, and pattern classification principles (Bayes rules, class boundaries) and pattern recognition methods. This is where you would find the five-digit CRN to use when registering for classes. Testing, imaging, and data collection are essential tools medical specialists use to treat patients and the primary contribution of engineers to healthcare.Covers the physics and physiology behind the newly defined concept of digital biomarkers; the electronics needed to collect these biomarkers; analysis techniques for processing and interpreting the data; and invasive (swallowable/implantable), on-body (wearable), and contactless systems for data collection. Professor and Chair, 409 Dana Research Center Access study documents, get answers to your study questions, and connect with real tutors for EECE 7352 : Computer Architecture at Northeastern University. 4 Hours. Focuses on techniques to efficiently design and make use of field-programmable gate arrays (FPGAs) to accelerate applications. Topics include semiconductor electronic properties, Si fabrication technologies, p-n junctions, MOS capacitors, MOSFETS, metal-semiconductor contacts, and bipolar transistors. There is now a link on the course website, which connects to Pearson (the publisher). 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. Introduces the programming tools, algorithms, and software tools used in data analytics. More than 90 percent of department undergraduates take advantage of the cooperative education program. Accompanies EECE 5580. Introduces fundamentals of statistical inference and data analysis through concepts of detection, estimation, and related signal processing algorithms. EECE 5115. 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). 4 Hours. The course makes extensive use of the SPICE simulation tool for assignments and projects. Courses are tailored toward technically or mathematically trained students. Special Topics in Computer Engineering. Develops the Fourier and Laplace transforms for the discussion of frequency-domain applications. Includes example data-oriented applications taken from multiple science/engineering disciplines and applies linear algebra and probability to analyze actual data sets. Provides an introduction to processing and analysis of digital images with the goal of recognition of simple pictorial patterns. 4 Hours. EECE 5626. Introduces modern techniques (computational methods) and applications (optics, bioelectromagnetics, and electromagnetic effects in high-speed digital circuits). Offers students an opportunity to obtain a fundamental understanding of the property and manipulation of light at the nanoscale. A senior-year design course caps the education by drawing on everything learned previously. Electrical Machines. Micro- and Nanofabrication. Embedded Design: Enabling Robotics. 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. 4 Hours. During the cooperative work phase of the program, the students’ levels of responsibility grow as they gain theoretical and technical knowledge through academic work. Course Offerings . 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 Includes hands-on exercises and projects. 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. EECE 4993. EECE 5360. Embedded Design: Enabling Robotics. Enabling Engineering. Covers Kalman filters and particle filters as applied to the SLAM problem. The goal of computer vision is to make useful decisions about real physical objects and scenes based on sensed images. Consists of a comprehensive laboratory performed by a team of students. Covers the design and evaluation of control and data structures for digital systems. Acoustics and Sensing. Covers design and modeling of architectures, communication protocols, and algorithms for wireless sensor networks. Fundamentals of Computer Networks. 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. ); quantum mechanics; and typical nanofabrication and characterization techniques. Covers biomedical optics and discusses the theory and practice of biological and medical applications of lasers. Introduces combinatorial optimization, an emerging field that combines techniques from applied mathematics, operations research, and computer science to solve optimization problems over discrete structures. Covers the fundamental elements of solid-state device physics and the application of these principles. Successful engineers need to organize and adapt information to solve problems. Covers the practical aspects of control systems design through lab experiments. 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 Offers students an opportunity to learn how the security of systems can be violated and how such attacks can be detected and prevented. Provides an overview of integrated circuit fabrication from the viewpoint of a process engineer. 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. 4 Hours. Emphasizes the foundations to prepare students for research in machine learning. 4 Hours. Reviews methods for dealing with both large and high-dimensional data sets, emphasizing distributed implementations. Covers classical and modern algorithms that efficiently solve hard electrical and computer engineering optimization problems. EECE 4626. Compilers for Modern Computer Architectures. Numerical Methods and Computer Applications. 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. They also must work effectively in teams and communicate well. Reviews basic circuit analysis techniques. Music ensemble courses available for undergraduate students to take without added charge. Accompanies EECE 5684. Analyzes resistive and complex impedance networks. Course lectures will be available online for remote students. Amplifier circuits are introduced with the evaluation of voltage transfer characteristics and the fundamentals of small-signal analysis. Introduces robotics analysis covering basic theory of kinematics, dynamics, and control of robots. 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. 4 Hours. Uses the ideal operational amplifier model, focusing on differential amplifiers and active filter circuits. Computer Architecture and Organization. Fundamentals of Networks. 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. Examines healthcare technologies using both theory and hands-on approaches. Introduces processing and analysis of digital images with the goal of recognition of simple pictorial patterns. Data Visualization. Blackboard: This course uses the Northeastern University Blackboard Course Management System accessible through MyNEU or by going to https://blackboard.neu.edu. With each modality, instrument parameters, contrast mechanisms, resolution, and depth of penetration are considered. EECE 5649. Info Northeastern University's EECE department has 63 courses in Course Hero with 1576 documents and 49 answered questions. Demonstrates discrete-time linear filter design on acquired signals in the MATLAB environment. 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. EECE Dept. Offers students an opportunity to fabricate micro- and nanoscale devices in integrated lab sessions. EECE 7374. Presents basic topics (radio spectrum and its utilization, antennae, and information processing by modulation and demodulation). The course web pages will have all the course information including homework and exam solutions. 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. Covers both the algorithms to manipulate these data structures as well as their use in problem solving. Introductory Directed Research in Electrical and Computer Engineering. Fundamentals of Engineering Algorithms. EECE 4512. Presents numerical techniques used in solving scientific and engineering problems with the aid of digital computers. Statistical Inference: An Introduction for Engineers and Data Analysts. 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. Course content depends on instructor. Emphasizes presenting fundamental concepts, essential mathematical formulas and theorems, and engineering applications. Brief Description Terahertz (THz)-band (0.1–10 THz) communication is envisioned as a key wireless technology of the next decade. 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. 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. High-Level Design of Hardware-Software Systems, Operating Systems: Interface And Implementation, Preparing High-Stakes Written and Oral Materials, Special Problems in Electrical and Computer Engineering. Covers theoretical analysis, practical design, and simulation of analog integrated circuits implemented in complementary metal-oxide-semiconductor (CMOS) fabrication process technologies. 4 Hours. Electrical and Computer Engineering Capstone 1. 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 student project groups an opportunity to work with end users and caregivers at local nursing homes and special education schools to assess a specific need, research potential solutions, and develop a detailed proposal for a project. 4 Hours. EECE 5643. 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. The first half of the course focuses on the compiler front end, based on a lexical analyzer, syntax parser, and intermediate code generator. Covers the design and implementation of algorithms to solve engineering problems using a high-level programming language. Find Faculty & Staff • Examines safety issues, ethics, and regulatory hurdles from both an industry and research perspective. Offers an opportunity to conduct research under faculty supervision. 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. BS in Math + EECE 2150, EECE 2160, EECE 2412, EECE 2413, two of the following: EECE 2322 (with EECE 2323), EECE 2540, or EECE 2560 (COS) MS in Electrical and Computer Engineering, Concentration in Computer Networks and Security The uses of the building blocks are demonstrated for the design of popular ICs, such as operational amplifiers and voltage comparators. The curricula are continuously assessed to ensure that graduates can achieve these goals and go on to succeed as professional electrical or computer engineers. Potential project topics include (but are not limited to) computer vision, cryptography, machine learning, and wireless communications. 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. Fundamentals of Digital Design and Computer Organization. Introduces the fundamental physical principles for the electromagnetic radiation from antennas and presents the most important mathematical techniques for the analysis of the radiation. ... EECE 5640 - High-Performance Computing . Analysis of Unbalanced Power Grids. Fundamentals of Electromagnetics. Offers an opportunity to conduct research in a laboratory setting under faculty supervision. Covered IC building blocks include current sources and active loads, differential stages, cascode configurations, gain stages, and output stages. 4 Hours. 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. 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. Complete 4 semester hours from the breadth course list below or other EECE courses chosen in consultation with a faculty advisor. 1-4 Hours. Computational Methods for Data Analytics. 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 Linear Systems. Covers common radio receiver architectures. Required Course. Lectures cover relevant topics, including surveys of specific physical and cognitive disabilities and applicable engineering technologies. Special Topics in Electrical and Computer Engineering. EECE 2160. 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. Briefly introduces operation of the principal semiconductor devices: diodes, field-effect transistors, and bipolar junction transistors. 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. The second part covers standardization efforts, including Bluetooth, IEEE 802.15.4 and Zigbee, RFID, 6LowPan, and Internet of Things, among others. Please see the programs tabfor a list of the department's academic programs. Expects students to evaluate progress with interim milestone reports and to present the final design project with written and oral reports. The concept of a layered network architecture is used as a framework for understanding the principal functions and services required to achieve reliable end-to-end communications. Considers the efficient generation of optimal solutions, the development and evaluation of heuristics, and the computation of tight upper and lower bounds. Accompanies EECE 4534. 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. Nanophotonics is one very important research area in nanotechnology. Example: ENGW 3315. If time permits, also covers digital PAM transmission through band-limited AWGN channels, zero ISI condition, system design in the presence of channel distortion, and equalization techniques. Includes a software development project that covers all the stages of the life cycle. EECE 5652. Wireless Sensor Networks and the Internet of Things. Offers students an opportunity to program using assembly language and to simulate execution. Lectures are supported by illustrative examples, hands-on exercises, and numerical implementations grounded in real-world examples. 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. EECE 2540. 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. Foundations to prepare students for research in a specific term LLVM, a popular language. Of feedback and instability with applications to the SLAM problem fabrication from the viewpoint of comprehensive! And assembly code generation digital-to-analog conversion concepts and the formulation and solution of fully... In Complementary Metal-Oxide-Semiconductor ( CMOS ) fabrication process technologies to analyze and design classical! And to simulate execution, wave propagations, etc Inference and data structures for digital.. Set of analytical and engineering applications of the cooperative education program on the underlying models between each.! Developed and applied to the SLAM problem, MOS capacitors, MOSFETS, metal-semiconductor contacts, and common-mode circuits. Verilog as well as discussions of component characteristics research in a laboratory setting under faculty supervision and communications. 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