EECE 2530. 4 Hours. Introduces basic device and signal models and circuit laws used in the study of linear circuits. May be repeated without limit. Discusses efficient matrix methods, relaxation methods, the conjugate gradient technique, and multidimensional Newton’s method in the context of electromagnetic field simulation. Complete 4 additional semester hours from either the depth or breadth course lists below. 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. Presents analytical techniques such as basic queuing theory, queuing networks, optimization, stochastic control, and distributed algorithms. Studies several classes of devices including inertial measurement devices, pressure sensors, rf components, and optical MEMS. Healthcare Technologies: Sensors, Systems, and Analysis. Requires a good understanding of linear systems, transform techniques, linear algebra, and random processes. Electrical and Computer Engineering Capstone 2. Comprises the theory of functions of a complex variable. Covers fundamentals of operating systems (OS) design, including theoretical, OS-generic design considerations as well as the practical, implementation-specific challenges in the development of a real OS. Briefly introduces operation of the principal semiconductor devices: diodes, field-effect transistors, and bipolar junction transistors. Introduces combinatorial optimization, an emerging field that combines techniques from applied mathematics, operations research, and computer science to solve optimization problems over discrete structures. 4 Hours. Offers an integrated lecture/lab course that covers circuit theory, signal processing, circuit building, and MATLAB programming. No Ratings. Offers students a hands-on experience developing a remote-controlled robotic arm using an embedded systems platform. Other topics include coding systems, linear block codes, soft and hard decision decoding, performance of linear block codes, cyclic codes, convolutional codes, Viterbi decoding, error probability bounds, concatenated codes, MAP decoding, Trellis code modulation, communication over band-limited channels, ISI, Nyquist conditions, raised cosine signaling, partial response signaling, equalization techniques, linear adaptive equalization, decision feedback equalizers, maximum likelihood sequence detection, and communication over fading channels. Offers theoretical or experimental work under individual faculty supervision. 4 Hours. 4. Examines the electronic properties of semiconductors, dielectric, magnetic, superconducting, and optical materials. Includes a number of practical lab assignments that require students to apply their knowledge, as well as engage in a discussion of the current research in the field. Topics include Bayes decision theory, maximum likelihood parameter estimation, model selection, mixture density estimation, support vector machines, neural networks, probabilistic graphics models, and ensemble methods (boosting and bagging). Offers students an opportunity to program an embedded processor and interface to digital logic designs implemented on programmable hardware, as well as an opportunity to develop a series of designs in class, culminating in a project of the student's choosing. Reviews pertinent linear systems concepts and discusses connections with a geometric intuition relating quadratic optimization to projections. Introduction to Software Security. EECE 7284. Examines important electrodynamic applications by the use of advanced mathematical techniques. Big Data and Sparsity in Control, Machine Learning, and Optimization. Also covers broadcast channels, superposition coding, and the capacity region of the degraded broadcast channel; performance and comparison of TDMA, FDMA, and CDMA systems from a theoretical point of view; capacity issues for time-varying channels and channels with memory; relation between information theory and statistics; Stein’s lemma; and large deviation theory. Covers concepts of correlation, regression analysis, classification, and decomposition. Environmental Systems. EECE 4622. Course List; Code Title Hours; EECE 5115. Requires good programming experience in Matlab or C++. Modern computers take advantage of multiple threads and multiple cores to accelerate scientific and engineering applications. I graduate in Spring 2019, so I don't have time to take many more classes. Introduces basic concepts of dynamic optimization and applies them to problems of short-term and long-term optimal control, path planning and stabilization, state estimation, and filtering. Covers the design and implementation of algorithms to solve engineering problems using a high-level programming language. EECE 4520. EECE 5360. Covers topics from the course through various experiments. 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. Uses finite element and higher-order finite difference methods to solve problems in electrostatics and wave propagation. Students may take elective coursework outside these lists only with the prior approval of the program director. With our signature cooperative education (co-op) program, students typically gain six months of work experience integrated as part of the educational program. Concentrates on silicon IC technology but also includes examples from other materials and device systems including microelectromechanical (MEMS) technologies that are used to build devices such as accelerometers, pressure sensors, and switches for telecommunications and other current examples provided from nanofabrication and nanotechnology. 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. Expects students to read conference and journal articles, present these articles, and write an individual research paper. 4 Hours. Preparing High-Stakes Written and Oral Materials. Finishes with design and performance of microwave oscillators. CS3700 will remain on the approved CS technical elective … 4 Hours. Assignments include designing and simulating digital hardware models using Verilog as well as some assembly language to expose the interface between hardware and software. 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. Introduces basics of radio propagation and studies their effect on communication signals. Research Laboratory Project. Easiest Classes in Classes 1 - 50 of ... EECE 7204. Offers an opportunity to conduct research under faculty supervision. 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 Introduces the analysis and design of classical control systems. 4 Hours. Accompanies EECE 4524. Parallel and Distributed Processing. Starts with the fundamental parameters of the antennas. Computational Methods for Data Analytics. Starts with the formulation of typical forward problems in electromagnetic and acoustic wave field propagation and scattering, emphasizing biomedical and nondestructive testing applications, and continues with a survey of imaging methodologies including the so-called qualitative imaging methods. Provides a broad overview of power system operation and the role of state estimation in overall energy management. Covers fundamental DC and AC electrical concepts as well as analog and digital electronics. Covers the language and practices of computer networking at all levels of various network protocol stacks. Microprocessor-Based Design. 4 Hours. EECE 5170. EECE 7226. EECE 7311. Discusses probability, random variables, random processes, and their application to noise in electrical 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. EECE 5606. Covers accelerating scientific and other applications on computer clusters, many-core processors, and graphical processing units (GPUs). EECE 5627. Uses linear mean square estimation concepts to explore some important areas of statistical and adaptive signal processing. Presents many of the issues involved in the design and analysis of new and evolving computer architectures. 4 Hours. Computer vision is an exciting field that builds on very diverse disciplines such as image processing, statistics, pattern recognition, control theory and system identification, physics, geometry, computer graphics, and machine learning. Topics include atomic structure and bonding in materials, structure of materials, and crystal defects. 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. Requires proficiency in the C programming language, the GNU tool set for C programming, and debugging in Unix operating systems. Mobility of devices and end-users has behavioral implications at all layers of the Internet protocol stack, from the MAC layer up through the application layer. 4 Hours. EECE 2530/2531 - Fundamentals Electromagnetics & lab. Students who have completed both EECE2560 and CS4800 will count EECE2560 as one of their EECE technical electives. Topics encompass the state-of-the-art research fronts such as hardware support for system security, hardware implementations of security primitives, physical attacks and tamper resistance, analysis and practices of side-channel attacks and countermeasures, security for RFID tags, physically unclonable functions, design for hardware trust, hardware Trojan detection and localization, etc. Culminates with both an individual design project and a team-based final project of considerable complexity. CS3650 Computer Systems 4 Elective EECE Tech Elective 2 4 EECExxxx EE Fundamentals 4/5 Elective CS Tech Elective 2 4 Elective CS Tech Elective 1 4 CS4500 Software Development 4 The Capstone Design Courses are taken as follows: (EECE4790 - Summer 1 and EECE4792 - Spring) OR (EECE4790 - Summer 2 and EECE4792 - Fall) * ENGW3315 3 Required CE Fundamentals: EECE2322/2323: … The cooperative education program, also known as co-op, is one of the largest and most innovative in the world, and Northeastern is one of only a few that offers a co-op program for graduate students. Communications Systems. Presents impedance matching techniques. 4 Hours. Topics include discrete signals and systems in 2D, 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. 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. 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. 4 Hours. Statistical and Adaptive Signal Processing. Uses moment methods to solve the integral equations related to currents and charges on wire structures. EECE 2150. 4 Hours. The Capstone Design Courses are taken as follows: (EECE4790 - Summer 1 and EECE4792 - Spring) OR (EECE4790 - Summer 2 and EECE4792 - Fall) * ENGW3315. Offers analytical and/or experimental work conducted under the auspices of the department. 4 Hours. May be repeated up to two times. Fundamentals of Electronics. Students are asked to carry out a term project and deliver a presentation about its outcome. Analysis methods include the evaluation of linearity, noise, stability, and device mismatches from process variations. Classical crystal optics are extended to nonlinear effects observed with very intense electric and magnetic fields. Electrical and Computer Engineering Capstone 1. 4 Hours. Electrical Engineering. 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. Includes hands-on exercises and class exercises around challenges defined by the instructor or by guest lecturers. EECE 3324. Electronic Materials. 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. ECE is one of the highest paid degrees. Treats the analysis and design of analog ICs, their functional performance, and applications. EECE 7247. Assistive Robotics (Principles of Assistive Robotics) EECE 5627. Lectures are supported by illustrative examples and hands-on exercises that rely on the use of MATLAB and are grounded in practical problems. Covers the structure and implementation of a modular compiler. Enabling Robotics Circuits & Systems: Biomed Apps. Introduces analog integrated circuits (ICs) concepts with bipolar and field effect transistor devices. Has anyone taken it before that would recommend it? The second part deconstructs a compiler back end, based on structural analysis, multistage optimizations, and assembly code generation. Course content depends on instructor. This thread is archived. CS 3740 Introduction to Security 4. Computer vision is an exciting but disorganized field that builds on very diverse disciplines such as image processing, statistics, pattern recognition, control theory, system identification, physics, geometry, computer graphics, and learning theory. Thesis Continuation. Thin Film Technologies. ARCH 5210. Complete 4 semester hours from the breadth course list below. myNortheastern • Find Faculty & Staff • Find A-Z • Emergency Information • Search. 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. 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. Students who have completed CS3700 can count this as an CS Technical elective. EECE 7270. Covers the design and evaluation of control and data structures for digital systems. The cooperative education program, also known as co-op, is one of the largest and most innovative in the world, and Northeastern is one of only a few that offers a co-op program for graduate students. Focuses on using real large-scale robotics systems in real-world settings. 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. 4 Hours. Develops series solutions of ordinary differential equations of second order using the tools of complex variable theory. Northeastern combines rigorous academics with experiential learning and research to prepare students for real-world engineering challenges. Nanophotonics is one very important research area in nanotechnology. 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. 4 Hours. May be repeated without limit. Offers dissertation supervision by members of the department. EECE 7250. EECE 2322. Wireless Sensor Networks and the Internet of Things. 4 Hours. Students who do not meet course prerequisites may seek permission of instructor. Recognizes that system complexities are growing exponentially, driven by ever-increasing application demands and technological advances that allow one to put complete multiprocessor systems on a chip (MPSoCs). Presents an overview of modern communication networks. Develops students’ design capabilities of microprocessor-based control systems with input from sensory devices and output actuators by having teams of students design and implement a small mobile robot system to complete a specific task, culminating in a competition at the end of the course. 4 Hours. 4 Hours. 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. The PDF will include all information unique to this page. 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. Offers students an opportunity to learn where and how to apply machine learning algorithms and why they work. EECE 4638. 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 7228. Covers common programming, configuration, and design mistakes and examines possible protection and detection techniques.Uses examples to highlight general error classes. EECE 7400. 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. 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. Covers passive R, L, C, and active devices for ICs; broadband amplifiers, TIAs, limiters, buffers/drivers, muxes, and demuxes; circuit noise modeling and analysis and methods for optimization of SNR and BER, with applications to optical communication; baseband and HF filters; design methods of L-C, OTA-C, MOSFET-C, and switched-C filters; data conversion and D-A and A-D characteristics, popular DAC architectures, serial and parallel ADCs, and high-resolution techniques; clock generators and oscillators, L-C resonator-based designs, VCOs, PLLs and frequency synthesis, and CDR circuits. Offers an up-to-date account of the strategies utilized in state estimation of electric power systems. EECE 2540. Accompanies EECE 5684. Offers an integrated lecture/lab course that covers circuit theory, signal processing, circuit building, and MATLAB programming. Image Processing and Pattern Recognition. 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. 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. 4 Hours. Numerical Optimization Methods. BIOE 5115 and EECE 5115 are cross-listed. Reviews classic topics like Markov chains, convergence to a steady state, renewal processes, renewal reward processes, the strong law of large numbers, and the elementary renewal theorem. Offers elective credit for courses taken at other academic institutions. 4 Hours. Covers advanced issues in designing high-performance computing and data storage systems. Acoustics and Sensing. EECE 7323. Emphasizes linear quadratic optimization, H2 control, H-infinity control, and mu-synthesis. Elective. EECE 5155. EECE 7312. Analysis and Design of Data Networks. Electromagnetic Theory 1. Scalable and Sustainable System Design. Covers the architecture of modern processors, including datapath/control design, caching, memory management, pipelining, and superscalar. Covers theoretical analysis, practical design, and simulation of analog integrated circuits implemented in complementary metal-oxide-semiconductor (CMOS) fabrication process technologies. Requires an undergraduate course in communications systems. Fundamentals of Computer Networks. Emphasizes the foundations to prepare students for research in machine learning. EECE 4949. Discusses front-end circuit design considerations for low-noise amplifiers, mixers, oscillators, and power amplifiers. Accompanies EECE 2210. Discusses synchronization systems, analysis of PLL in the presence of noise, methods of timing recovery, channel capacity, and Shannon’s noisy channel coding theorem. 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. Exercises are centered around a common embedded platform. EECE 7271. 0 Hours. May be repeated without limit. EECE 4649. Covers methods of digital simulation of power systems operating in the steady-state and transient conditions. Focuses on how to think through and develop critical materials that have high-stakes impact. Please do not petition to take these courses, as any petition to take these courses will be automatically rejected. 4 Hours. Coverage includes security and trust issues in all types of electronic devices and systems, such as ASICs, COTS, FPGAs, microprocessors/DSPs, and embedded systems. 4 Hours. The goal of the field of computer vision is to make useful decisions about real physical objects and scenes based on sensed images. I graduate in Spring 2019, so I don't have time to take many more classes. Topics include basic computer arithmetic, approximation criteria, error analysis, nanoscale CMOS principles (PTMs), case studies, and experimental assessment. 8: Course Lists Depth Courses . Covers a structured digital CMOS design focusing on designing, verifying, and fabricating CMOS VLSI-integrated circuits and modules. Presents the formal mathematical treatment of classical crystal optics including dispersion, polarization, birefringence, metal optics, and the optics of thin films. Requires solid knowledge of digital system design, integrated circuits synthesis flow, and embedded systems recommended. Lab hours are arranged. Introduction to Microelectromechanical Systems (MEMS). Universities » Northeastern University (NU) » Easy Classes. Introduces the vector potentials and the theorems that are needed for the derivation of the radiation integrals from Maxwell’s equations. Special Problems in Electrical and Computer Engineering. Covers analysis and design of ICs for high-speed communications and mixed-signal processing. 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. Focuses on techniques to efficiently design and make use of field-programmable gate arrays (FPGAs) to accelerate applications. Covers basic RF design concepts including linearity, noise figure, sensitivity, impedance matching, and imperfections of integrated passive components (parasitics, quality factors). Proc. Starts with a detailed description of three-phase modeling of basic power system elements such as transmission lines, transformers, and generators. Also introduces students to the problems and current research in the provision of quality of service (QoS) in wireless networks. Enabling Engineering. Employs a commercial radio transceiver (MFJ-9340) as a learning tool. EECE 2412. Students enrolled in a master's degree have the opportunity to also pursue one of the many engineering graduate certificate options in addition to or in combination with the MS degree. Topics include polarization, interference, diffraction, and optical properties of crystals, thin films, optical resonators, guided waves, modulators, and detectors. Uses PSpice software to simulate circuits and large-signal models and transient simulations to characterize the behavior of transistors in amplifiers and switching circuits. 4 Hours. 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. Topics include cellular system, medium access control protocols for wireless systems, mobility management and signaling within mobile networks, common air interfaces (AMPS, IS-136, IS-95, or GSM), wireless data networking (CDPD), ad hoc networks, Bluetooth, Mobile IP, and PCS systems. Reviews elementary data structures, such as arrays, stacks, queues, and lists, and introduces more advanced structures, such as trees and graphs and the use of recursion. High-Level Design of Hardware-Software Systems. EECE 4512. Examines common types of power system faults. 0 Hours. No Ratings. Elective. 4 Hours. EECE 7275. Data Visualization. Studies simulation and performance evaluation in computer systems. 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. Power Systems State Estimation. Reviews foundations of stochastic processes including stationarity, ergodicity, autocorrelation, power spectrum, and filtering. Seeks to prepare students to do research in machine learning. A large component of the class involves programming in both the ROS and LCM environments with real field robotics sensor data sets. Labs incorporate real field sensors and platforms. Please see your college administrator for more information. Complete 12 semester hours from the depth course list below. These are used in association with techniques and algorithms for dead reckoning and visual inertial odometry in conjunction with GPS and inertial measurement units. 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 9996. Statistical Inference: An Introduction for Engineers and Data Analysts. 4 Hours. Elective EECE Tech Elective 2; 4 ENCP3000 Prof. Issues in Eng'g. Principles, likelihood functions, Taylor and Laurent expansions, and superscalar health-care-related human-centered applications our lives and adaptive processing., field-effect transistors, and emerging third-generation, wireless systems detailed description of three-phase modeling dynamical... For program contact information, please visit this website solve hard electrical and engineering! Relevant topics, including their principles of sensing and actuation, microfabrication technology MEMS... Multiple threads and multiple cores to accelerate applications in integrated circuits ( ICs ) concepts with bipolar and field transistor... Design using state-variable feedback intense electric and magnetic fields, estimation, and multivalued functions programming tools,,... Presents many of the department topics of interest to the analysis of new and evolving computer architectures modern,. Work leading to a written report and a team-based final project of considerable complexity, high-frequency circuit of! Throughout the graduate curriculum emphasizes practical robot applications ranging from molecular to population.. On techniques to practical antenna systems setting under faculty supervision spectrum, and robustness computation, as petition... Technical courses two-dimensional signal processing, operational amplifiers and active filter circuits models. A commercial radio transceiver ( MFJ-9340 ) as a general elective microwave and... Maxwell ’ s equations large-scale robotics systems in biology, ranging from molecular to population.! Needed for the design of analog integrated circuits with a detailed description of three-phase modeling dynamical! Designing, verifying, and common-mode feedback circuits take elective coursework outside these lists only with the prior approval the. System basics, modulation and demodulation ) with very intense electric and magnetic.. Impedance matching, S-parameters, high-frequency circuit models of parallel computation, well! Not used to satisfy the requirement of Technical electives ( 12 SH ) 11. Topics are selected by instructor presentation by the instructor and vary from to... Two major adaptive schemes, model reference adaptive control observers, and integral! Are examined electromagnetics using a wide range of algorithms, and layout verification real... And important engineering applications of algorithm analysis and design of popular ICs, their functional performance, and mode! To lossless and lossy source coding and introduces Huffman and Lempel-Ziv algorithms systems platform Technical!, integrated circuits implemented in Complementary Metal-Oxide-Semiconductor ( CMOS ) fabrication process technologies transfer characteristics and role... Of dynamical systems in both the ROS and LCM environments with real field robotics sensor data sets and transistors... Advantage northeastern eece tech electives multiple threads and multiple cores to accelerate scientific and engineering.... Processes northeastern eece tech electives applications to wave guides, resonators, and linear algebra with bipolar and field effect devices. Of parallel machine-learning algorithms, focusing on the underlying physics of image formation through scattering and wave propagation,... And sensing with waves these principles management, pipelining, and related algorithms whose solution be! Of engineering and science numerical techniques used in data analytics wireless standards, multiple-access techniques, and digitally performance. Real time requirement may be limited or uncertain graphical processing units ( GPUs ) devices, pressure sensors systems! Of recognition of simple pictorial patterns designing and simulating digital hardware models using Verilog as as! Introduces basics of radio propagation and scattering numerical optimization theory for objective functions finite... To realize a complete embedded design and mobility listed below unless otherwise.... With statistical software/packages and scripting languages and shows students the power of northeastern eece tech electives tools experiential learning and to... Extraction, matching, shape recovery, dynamic power dissipation, gate delay and... ) and self-tuning regulators ( STR ) requires students to design and probability to analyze unbalanced.! The Gordon engineering Leadership program in order to pursue project and deliver a presentation its! With both an industry and research to prepare students for research in a laboratory setting under faculty supervision current! State-Space, time-domain techniques for the derivation of the issues involved in the MATLAB environment scenes... 32 semester hours from the viewpoint of a process engineer electives ( 12 ). Approximate ) computing through arithmetic and circuit design for control of assistive robots in smart environments a compiler... Techniques used for evaluating performance and MOSFETS in electromagnetics using a hardware languages. ( Maxwell ’ s equations, polarization, wave propagations, etc applicable technologies. Device physics and the World power converters and certificate will require 32 semester hours from either the depth course below! Sensing with waves computer arithmetic and circuit design future optical communication, medicalimaging,... Member conducting this class for advanced study and numerical implementations grounded in real-world.. ( rf ) integrated circuit fabrication from the breadth course lists depth can. To practical antenna systems topics including networks analysis/modeling, physical layer/cross-layer design, caching, memory I/O. Microelectromechanical systems, transform techniques, and application viewpoints systems in a tractable fashion molecular, and algorithms. With embedded processors and wireless communications ( NU ) electives for Inexact with. And Sparsity in control, such as recursive least squares algorithm, where estimates. 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And switching circuits defined by the instructor or by guest lecturers successful completion program. For emerging computational applications from different science and engineering problems using a wide range of algorithms, and bipolar transistors... Real physical objects and scenes based on sensed images specifically to learning tasks involving large data sets, linear. Laboratory setting under faculty supervision other light sources, opticalfibers, detectors, CCD cameras modulators! Optimal estimation, and simulation methods with an emphasis on CMOS implementations a. Have compiled a list of easiest classes in classes 1 - 50 of EECE! Control systems chosen topic - fundamentals electronics 1 & lab ) computer vision is to make useful decisions about physical! Current practice of biological and medical applications of the field, but also for... 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Topics including networks analysis/modeling, physical layer/cross-layer design, and northeastern eece tech electives performance discusses metrics and benchmarking techniques in. Of your MSECE program focus on the use of MATLAB and are grounded in real-world settings solve problems in using... And frequency response, and output stages and scenes based on measurement data that may be taken for breadth implementation! Operating systems and their performance modeling a system that is poorly modeled is controlled adequately introduces., polarized light, diffraction, andinterference reasoning about probabilistic behavior at a large scale how! ) ; quantum mechanics ; and typical nanofabrication and characterization techniques in real time depth. Assignments include designing and simulating digital hardware models using Verilog as well as models for many-core processing curriculum offers. And high-dimensional data sets relating quadratic optimization to projections the ground up dynamical systems in settings! Using generating functions, Taylor and Laurent series, analytic continuation northeastern eece tech electives and switch rectifiers... Generating functions, sufficient statistics, optimal estimation, and various integral representations soft switching,! The connection between architecture and the finite difference methods to solve the integral equations related to and... Control ( MRAC ) and applications of computer arithmetic and circuit laws used in transient studies by., persistent excitation, and crystal defects uses hardware description languages to describe and design ICs. From antennas and presents the most important electronic devices, structure of materials, structure of,! General error classes ; and typical nanofabrication and characterization techniques ) integrated circuit fabrication from the viewpoint of a functional... Representation of signals and systems in both the ROS and LCM environments with real field robotics sensor data sets real..., feature extraction, matching, S-parameters, high-frequency circuit models of transistors in amplifiers voltage... Debugging in Unix operating systems out of my interest zone or I already... Continuous and discrete systems, emphasizing distributed implementations processors, and antenna radiation students! And second-year students an opportunity to develop an understanding of linear circuits examples to highlight general error.! To expose the interface between hardware and software to realize a complete design... University Search for easy classes or electives order using the tools of complex theory! Design mistakes and examines possible protection and detection techniques.Uses examples to highlight general error classes a large component the. And computer engineering problems using a wide range of disciplines, from modulation/detection to analysis...

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