5 EECExxxx; CE Fundamentals 4/5; ENCP3000 … Bioinspired Robots. Complete 20 semester hours from the depth course list below. EECE 7258. 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. Examines how mobility affects networks, systems, and applications. Requires concurrent registration in EECE 5581 for undergraduate students. Offered by the NSF Nanosystems Engineering Research Center for Translational Applications of Nanoscale Multiferroic Systems (TANMS) and co-taught by professors from UCLA, UC Berkeley, Cornell, California State University Northridge, and Northeastern University. Also covers IC design methodologies and performance, scaling of MOS circuits, design and layout of subsystems such as PLA and memory, and system timing. AND. EECE 7336. 2020-21 Undergraduate PDF Computer Architecture and Organization. Covers fundamentals of probabilistic system modeling, building toward techniques that allow analyzing complex stochastic systems in a tractable fashion. 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. 4 Hours. Course fee applies. Focuses on the theory of ordinary and partial differential equations of mathematical physics. Course projects emphasize model-based control of humanoids for completing practical tasks from space exploration to disaster response. System models are essential to four key aspects of the assistive robot design process: derivation of executable specifications, hardware and software design based on simulations, implementation by code generation, and continuous testing and verification. Statistical Inference: An Introduction for Engineers and Data Analysts. CHEM 181: World of Chemistry: Food Offers students an opportunity to learn where and how to apply machine learning algorithms and why they work. 4 Hours. Introduces basic concepts of digital communication over additive white Gaussian noise (AWGN) channels. 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. 4 Hours. Indicates successful completion of program requirements for PhD candidacy. Presents power management circuits with a focus on modern system on a chip (SoC). Topics include the linear and nonlinear acoustic wave equation; sources of sound; reflection, refraction, transmission, and absorption; bearing and range estimation by sensor array processing, beam forming, matched filtering, and focusing; diffraction, bandwidth, ambient noise, and reverberation limitations; scattering from objects, surfaces, and volumes by Green’s theorem; forward scatter, shadows, Babinet’s principle, extinction, and attenuation; ray tracing and waveguides in remote sensing; and applications to acoustic, radar, seismic, thermal, and optical sensing and exploration. EECE 5686. Digital Control Systems. EECE 7247. Modern computers take advantage of multiple threads and multiple cores to accelerate scientific and engineering applications. Analysis of Unbalanced Power Grids. 4 Hours. 4 Hours. Discusses synchronization systems, analysis of PLL in the presence of noise, methods of timing recovery, channel capacity, and Shannon’s noisy channel coding theorem. The second part deconstructs a compiler back end, based on structural analysis, multistage optimizations, and assembly code generation. Studies several classes of devices including inertial measurement devices, pressure sensors, rf components, and optical MEMS. Degree Requirements: 132 SH . Assignments include designing and simulating digital hardware models using Verilog as well as some assembly language to expose the interface between hardware and software. Employs microwave CAD tools in design projects as well as in-class case-study examples. Focuses on the hardware and software design for devices that interface with embedded processors. The Capstone Design Courses are taken as follows: (EECE4790 - Summer 1 and EECE4792 - Spring) OR (EECE4790 - Summer 2 and EECE4792 - Fall) * ENGW3315. Concludes with current topics including networks analysis/modeling, physical layer/cross-layer design, emerging technologies, and mobility. 2020-21 Undergraduate PDF EECE 4694. The PDF will include all information unique to this page. EECE 2412. 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. Offers analytical and/or experimental work leading to a written report and a final short presentation by the end of the semester. Electromagnetic Theory 1. Topics include difference and differential equation models, with basic theory including nondimensionalization, steady states, linearization, stability, eigenvalues, global behavior, singular perturbations, multistability, hysteresis, cooperativity, periodic solutions, excitable systems, bifurcations, and an introduction to spatial (PDE) models. EECE 4993. Covers fundamentals of probability and stochastic processes with applications to estimation and queuing theory. Wireless Sensor Networks and the Internet of Things. 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. EECE 2520. Introduces basic concepts of linearity and time-invariance for both continuous and discrete-time systems and concepts associated with analog/digital conversion. Please see your college administrator for more information. EECE 432 - Physics & Tech of Solar Cells. EECE 2210. Technical elective. EECE 5115. Compilers for Modern Computer Architectures: EECE 5640. EECE 9996. 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. 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: … 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. Offers students an opportunity to program using assembly language and to simulate execution. Northeastern University’s Bioengineering Program provides a broad-based, interdisciplinary engineering curriculum that offers a rigorous yet flexible education. 8: Course Lists Depth Courses . Presents solutions to problems in electromagnetics using a wide variety of numerical and computational methods. EECE 3324. Introduction to Machine Learning and Pattern Recognition. Covers special topics in electrical and computer engineering. May be repeated without limit. Discusses in detail two major adaptive schemes, model reference adaptive control (MRAC) and self-tuning regulators (STR). Provide tools and techniques needed to analyze and design power conversion circuits that contain switches. Find A-Z • Employs a commercial radio transceiver (MFJ-9340) as a learning tool. EECE 7323. Solid State Devices. Covers methods of digital simulation of power systems operating in the steady-state and transient conditions. AND. The same project may not be used to satisfy both this course and EECE 4790. Introduction to Software Security. Topics include practical examples based on LLVM, a popular intermediate language specification and tool chain. Provides an introductory graduate course in optics, presenting the engineering concepts necessary to understand and evaluate electro-optical systems. Advanced Machine Learning. 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. 4 Hours. Offers students an opportunity to design and implement a simple computer system on field-programmable logic using a hardware description language. 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. 4 Hours. 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. 4 Hours. Highlights implementation of computer arithmetic and how it varies on different computer architectures. Courses from the following subject areas may not count toward any concentration within the MSECE program: The following CS courses may not count toward any concentration within the MSECE program: College of Professional Studies Undergraduate, University-​Wide Academic Policies and Procedures, Electrical and Computer Engineering with Concentration in Computer Systems and Software, MSECE, Electrical and Computer Engineering with Concentration in Computer Networks and Security, MSECE, Electrical and Computer Engineering with Concentration in Computer Vision, Machine Learning, and Algorithms, MSECE, Electrical and Computer Engineering with Concentration in Electromagnetics, Plasma, and Optics, MSECE, Electrical and Computer Engineering with Concentration in Hardware and Software for Machine Intelligence, MSECE, Electrical and Computer Engineering with Concentration in Microsystems, Materials, and Devices, MSECE, Electrical and Computer Engineering with Concentration in Power Systems, MSECE, Electrical and Computer Engineering Leadership, MSECEL, Graduate School of Engineering Certificates, College of Social Sciences and Humanities, Gordon Institute of Engineering Leadership. Studies cutoff rate and its communication system design. Complete 4 additional semester hours from either the depth or breadth course lists below. EECE 7150. Labs incorporate real field sensors and platforms. Explores differential signal processing, operational amplifiers, operational transconductance amplifiers, and common-mode feedback circuits. EECE 5606. EECE 7312. Enabling Robotics Circuits & Systems: Biomed Apps. Students not meeting course prerequisites may seek permission of instructor. Covers noncoherent detection and DPSK systems and their performance. 4 Hours. Requires students to perform a feasibility study by extensive simulation or prototype design of subsystems to facilitate the second phase of the capstone design, considering public health, safety and welfare, global, cultural, social, environmental, and economic factors. No Ratings. Embedded Design: Enabling Robotics. Special Problems in Electrical and Computer Engineering. Covers examples from a variety of scientific, medical, interactive multimedia, and artistic applications. 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. EECE 9000. Includes example data-oriented applications taken from multiple science/engineering disciplines and applies linear algebra and probability to analyze actual data sets. Elective: Complete 8 additional semester hours from either depth or breadth courses. 4 Hours. Presents many of the issues involved in the design and analysis of new and evolving computer architectures. 4 Hours. Master's Degree in Electrical and Computer Engineering with a Concentration in Communications, Control, and Signal Processing with Graduate Certificate in Engineering Leadership. May be repeated without limit. EECE 7296. Offers analytical and/or experimental work conducted under the auspices of the department. EECE 4638. myNortheastern • Parallel and Distributed Processing. Healthcare Technologies: Sensors, Systems, and Analysis. Requires students to design and implement the project proposed in that earlier course. 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. Thin Film Technologies. Offers an overview of the discipline of software engineering. 4 Hours. Modeling large and complex systems requires reasoning about probabilistic behavior at a large scale. Covers all aspects of VLSI design and engineering including VLSI design methodology; MOS transistors and circuits; CAD tools to create, extract, simulate, and evaluate physical layouts; CMOS fabrication process; evaluation and optimization of circuit area, power consumption, and propagation delay; CAD tools to design CMOS systems with standard cells; system clocking design and evaluation; the characteristics and limitations of CAD tools, such as simulation, placement, and routing; VLSI testing, fault models, test vector generation, and design for testability; design projects going through a complete VLSI design cycle; and a research project targeting a specific area of VLSI engineering. 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). 4 Hours. Discusses front-end circuit design considerations for low-noise amplifiers, mixers, oscillators, and power amplifiers. Complete 8 semester hours of either the depth or breadth course lists below. EECE 5627. Power Management Integrated Circuits. Assistive Robotics: EECE 5576. EECE 5641. Lectures cover relevant topics, including surveys of specific physical and cognitive disabilities and applicable engineering technologies. 4 Hours. I'm interested in Software Dev after graduation, so I thought taking EECE 4520 (Software Engineering 1) would be a good class to take. Wireless Communication Circuits. 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. Optics for Engineers. 4 Hours. Northeastern combines rigorous academics with experiential learning and research to prepare students for real-world engineering challenges. Topics include linear operators and their representations; matrices, algebraic equations, equivalence, and similarity transformations; introduction to the state-variable theory of continuous and discrete linear systems; standard canonical representations, the concept of state, and the representation of interconnected systems, linear spaces, the state equations, and their solution; stability; and introduction to the general control problem in terms of controllability and observability. Requires knowledge of basic probability. Requires an undergraduate course in communications systems. EECE 7393. EECE 7270. This course focuses on the science and engineering fundamentals of photovoltaic solar energy devices and … Prerequisite: EECE 332 or an equivalent course in """"basic semiconductor device physics"""". EECE 2160. Studies hardware and software design for embedded systems. Computer security problems have a significant impact on practical aspects of our lives. 3 comments. Offers a basic treatment of electronic materials from atomic, molecular, and application viewpoints. Data Visualization. 4 Hours. 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. Design of Analog Integrated Circuits with Complementary Metal-Oxide-Semiconductor Technology. Refer to the Schedule of Classes. May be repeated up to four times. 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. Includes the principle of orthogonality, Wiener and Kalman filters, linear prediction, spectral factorization, the Yule-Walker equations, decimation and interpolation, Noble identities and polyphase representation, and maximally decimated filter banks. Electrical Engineering. Amplifier circuits are introduced with the evaluation of voltage transfer characteristics and the fundamentals of small-signal analysis. Provides an introduction to processing and analysis of digital images with the goal of recognition of simple pictorial patterns. Requires concurrent registration in EECE 5580. Covers the state-of-the-art human-centered recognition technologies, including face/human detection, face/body tracking, face recognition, head/body pose estimation, expression recognition, body language recognition, gait analysis, hand/body/eye gesture, action/activity analysis, and so forth. Microwave Circuit Design for Wireless Communication. 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. Accompanies EECE 5684. Electrical Engineering and Physics BSEE lt Northeastern - EECE 2150 Circuits and Signals Biomedical Applications 5 EECE 2160 Embedded Design Enabling Robotics 4 Electrical Engineering Fundamentals EECE 2412 and EECE 2413 Fundamentals of Electronics and Lab for EECE 2412 5 EECE 2520 Fundamentals of Linear Systems 4 EECE 2530 and EECE 2531 Fundamentals of Electromagnetics and … Elective. 1 Elective; General Elective 4; Elective EECE Tech Elective 1; 4 CS1800 Discrete Structures 4 *ENGW3302 Adv Writing in the Tech Prof 4 EECE4790 Capstone 1 4 CS1802 Recitation for CS1800; 1 (to be taken online) Elective. 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