EECE 7205. As time permits, discusses basic notions of estimation and properties of estimators, unbiased and minimum variance estimation, CRLB, sufficient statistics, consistency of estimators, basic notions of discrete and continuous-time random processes, mean and autocorrelation function, WSS and cyclo-stationary processes, ergodicity of random processes, and other topics. Presents an abundance of examples, models, tables, and guidelines to clearly examine new aspects of state estimation, the testing of network observability, and methods to assure computational efficiency. Experiential Learning. Covers a range of algorithms, focusing on the underlying models between each approach. 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. 0 Hours. Highlights implementation of computer arithmetic and how it varies on different computer architectures. Covers theoretical analysis, practical design, and simulation of analog integrated circuits implemented in complementary metal-oxide-semiconductor (CMOS) fabrication process technologies. Special Topics in Electrical and Computer Engineering. Integrated Circuits for Mixed Signals and Data Communication. Review your degree audit via myNortheastern to ensure you are fulfilling the necessary degree requirements. 4 Hours. Introduction to Biomedical Imaging and Sensing (4) ECE 4103. Two Dimensional Signal and Image Processing. Offers elective credit for courses taken at other academic institutions. This will be used to identify you in case your account is shared. Topics include pipelining, superscalar, out-of-order execution and completion, data flow, caching, prefetching, virtual memory, RAID, and ATM switching. Provides a broad overview of power system operation and the role of state estimation in overall energy management. ); quantum mechanics; and typical nanofabrication and characterization techniques. 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. 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. Fundamentals of Computer Engineering. Examines fundamental principles of wireless system design, focusing on modern techniques used in cellular systems and wireless local area networks. Investigates the emerging field of humanoid robotics. Covers Kalman filters and particle filters as applied to the SLAM problem. Presents the formal mathematical treatment of classical crystal optics including dispersion, polarization, birefringence, metal optics, and the optics of thin films. May be repeated without limit. Covers transmission lines, impedance matching, S-parameters, high-frequency circuit analysis, power dividers, resonators, and filters. Optimization problems arise ubiquitously in all areas of engineering and science. Undergraduate students normally take courses in the 100 – 400 level range, and graduate students normally take courses in the 400 – 500 level range. Covers the practical aspects of control systems design through lab experiments. 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. Design of Analog Integrated Circuits with Complementary Metal-Oxide-Semiconductor Technology. Indicates successful completion of program requirements for PhD candidacy. EECE 5161. Finishes with design and performance of microwave oscillators. The goal of the field of computer vision is to make useful decisions about real physical objects and scenes based on sensed images. Presents the foundations for understanding the new and evolving area of hardware security and trust, which have become major concerns for national security over the past decade. Classical crystal optics are extended to nonlinear effects observed with very intense electric and magnetic fields. 4 Hours. Nanophotonics is one very important research area in nanotechnology. Requires knowledge of undergraduate advanced calculus. EECE 5641. System Identification and Adaptive Control. EECE 7202. Note: Printed catalogs do not contain course descriptions. Information Theory. Concepts of electrical and computer engineering including: ciruit analysis, fundamental electromagnetics, electronic devices, sensors, communication, digital logic, programming, numerous practical applicaitons; laboratory. Requires knowledge of basic probability. Starts with a detailed description of three-phase modeling of basic power system elements such as transmission lines, transformers, and generators. Requires a Bachelor of science in engineering or physics. Introduces fundamentals of statistical inference and data analysis through concepts of detection, estimation, and related signal processing algorithms. Investigates the what (modeling), how (design), and why (analysis) of assistive robotics through the use of model-based design process. EECE 7296. Graduate students may register for this course only if they did not complete an undergraduate course in digital signal processing; such graduate registration requires approval of instructor and an internal departmental petition. 2003–2004 Catalog and Course Descriptions . 2020-21 Course Descriptions PDF, College of Professional Studies Undergraduate, University-​Wide Academic Policies and Procedures, Electrical and Computer Engineering with Concentration in Communications, Control, and Signal Processing, MSECE, 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, Master of Science in Electrical and Computer Engineering Leadership (MSECEL), Concentration in Communications, Control, and Signal Processing, Concentration in Computer Systems and Software, Concentration in Computer Networks and Security, Concentration in Computer Vision, Machine Learning, and Algorithms, Concentration in Electromagnetics, Plasma, and Optics, Concentration in Hardware and Software for Machine Intelligence, Concentration in Microsystems, Materials, and Devices, Electrical and Computer Engineering Leadership, 2020-21 College of Professional Studies Undergraduate PDF. Covers fundamentals of probabilistic system modeling, building toward techniques that allow analyzing complex stochastic systems in a tractable fashion. 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. Topics include vacuum technologies; vacuum pumps; vacuum system design and analysis; different thin film deposition technologies, including sputtering, chemical vapor deposition, electrochemical deposition, atomic layer deposition, etc. EECE 7374. Electromagnetic Theory 2. Course lectures will be available online for remote students. 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. 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. Covers topics from the course through various experiments. Students are expected to present their results and findings and submit a written report. EECE 5652. EECE 7240. Offers theoretical and/or experimental work conducted under the auspices of the department. Explores differential signal processing, operational amplifiers, operational transconductance amplifiers, and common-mode feedback circuits. Early Childhood Education (MA or MEd) Graduate Master's College of Education. Topics include tools and techniques for practical visualization and elements of related fields, including computer graphics, human perception, computer vision, imaging science, multimedia, human-computer interaction, computational science, and information theory. Mobile and Wireless Networking. 4 Hours. Reviews methods for dealing with both large and high-dimensional data sets, emphasizing distributed implementations. 0 Hours. 4 Hours. EECE 7213. Modeling and Simulation of Power System Transients. Analysis of Unbalanced Power Grids. 2000–2001 Catalog and Course Descriptions . Analysis and Design of Data Networks. Requires proficiency in the C programming language, the GNU tool set for C programming, and debugging in Unix operating systems. Examines how mobility affects networks, systems, and applications. EECE 5554. Complex Variable Theory and Differential Equations. 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. 4 Hours. 4 Hours. Search catalog Submit. EECE 7337. A large component of the class involves programming in both the ROS and LCM environments with real field robotics sensor data sets. EECE 7201. Offers continued dissertation work conducted under the supervision of a departmental faculty member. Emphasizes practical robot applications ranging from disaster response to healthcare to space exploration. 4 Hours. EECE 5360. Power Systems Analysis 1. 4 Hours. EECE 7352. Analysis methods include the evaluation of linearity, noise, stability, and device mismatches from process variations. EECE 7228. Uses moment methods to solve the integral equations related to currents and charges on wire structures. Expects students to read conference and journal articles, present these articles, and write an individual research paper. 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 fundamental concepts of acoustics and sensing with waves. 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. Offers dissertation supervision by members of the department. Studies several classes of devices including inertial measurement devices, pressure sensors, rf components, and optical MEMS. Special Topics in Power Electronics. Introduces fundamental concepts and approaches for the analysis and design of data networks. Course projects emphasize model-based design for control of assistive robots in smart environments. Fundamentals of Nanoelectronics. Introduces fundamental techniques in computer engineering used throughout the graduate curriculum. Dynamical Systems in Biological Engineering. 4 Hours. Accompanies EECE 5580. Includes basic laws of probability, conditioning, and Bayes rule. Solid State Devices for Renewable Energy Conversion. Northeastern University College of Engineering, Department of Electrical & Computer Engineering, Communications, Control & Signal Processing, Computer Vision, Machine Learning, and Algorithms, Bachelor of Science in Computer Engineering, Bachelor of Science in Computer Engineering & Computer Science, Bachelor of Science in Computer Engineering & Physics, Bachelor of Science in Electrical & Computer Engineering, Bachelor of Science in Electrical Engineering, Bachelor of Science in Electrical Engineering & Music, Bachelor of Science in Electrical Engineering & Physics, Master of Science in Electrical & Computer Engineering, Master of Science in Electrical & Computer Engineering Leadership, New Faculty Spotlight: Dimitrios Koutsonikolas, Wang Receives Multiple Funding and Gift Awards from Industry, $1M DARPA Grant for Intelligent Diagnosis for Machine and Human-Centric Adversaries. Select a Catalog Jan 07, 2021 HELP. 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. 4 Hours. May be repeated up to four times. Offers students an opportunity to fabricate micro- and nanoscale devices in integrated lab sessions. Topics include basic computer arithmetic, approximation criteria, error analysis, nanoscale CMOS principles (PTMs), case studies, and experimental assessment. Covers sampling and analysis tools for linear discrete-time dynamic systems, including the design of digital control systems using transform techniques by discrete equivalent and direct design methods; root locus, Bode and Nyquist diagrams, and Nichols charts; controller implementation issues, such as digital filter realizations, nonlinear effects due to quantization, round off, dead band, and limit cycles; and selection of the sampling rate. 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. 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. Arithmetic and Circuit Design for Inexact Computing with Nanoscaled CMOS. Introduces radio frequency (RF) integrated circuit analysis, design, and simulation methods with an emphasis on CMOS implementations. EECE 7377. NEU 201 or PSY 377 or BIO 339 or NEU 339 or BIO 340 or instructor consent is a prerequisite for this class. EECE 7393. Introduction to Microelectromechanical Systems (MEMS). Data Visualization. 4 Hours. Thesis Continuation. EECE 2160. Introduces the fundamental techniques and protocols in first- and second-generation, and emerging third-generation, wireless systems. Devotes the last third of the semester largely to projects involving design of MEMS devices to specifications in a realistic fabrication process. 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. The second part deconstructs a compiler back end, based on structural analysis, multistage optimizations, and assembly code generation. Accompanies EECE 7240. Seeks to provide students with the opportunity to develop an understanding of pn junctions, bipolar junction transistors, and MOSFETs. CS 7140 and EECE 7397 are cross-listed. Studies simulation and performance evaluation in computer systems. 4 Hours. ECE is home to experts in a variety of disciplines spanning the field of electrical and computer engineering. 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 7271. EECE 5627. Provides an overview of integrated circuit fabrication from the viewpoint of a process engineer. EECE 9996. 2020-21 Graduate PDF Topics include modeling and layout of CMOS, bipolar, BiCMOS devices, and passive components; DC building blocks, including precision current and voltage references; performance analysis of signal gain, impedances, and frequency response and speed of basic/compound amplifier structures; architectures of operational amplifiers, including low-voltage, OTAs, and three-stage designs; feedback and performance merits, topologies, instability, and frequency compensation of feedback amplifiers; nonlinear and analog computation IC functions; noise in ICs, physical origins and device modeling , noise circuit analysis, SNR and NF, and techniques for the enhancement of system noise performance. Presents many of the issues involved in the design and analysis of new and evolving computer architectures. The PDF will include all information unique to this page. For basic computational problems such as sorting, searching, elementary graph algorithms, shortest-paths problems, as well as flow problems in networks, many different algorithms and data structures are described and analyzed, implemented, and compared both from a theoretical and from an experimental point of view. Covers the fundamentals of parallel machine-learning algorithms, tailored specifically to learning tasks involving large data sets. Covers theory and practice of modern signal processing techniques with emphasis on optimal filtering and multirate signal processing. EECE 5612. Requires good programming experience in Matlab or C++. May be repeated once. 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. Dissertation Continuation. Scalable and Sustainable System Design. EECE 7247. ECE Assistant Professor Xue “Shelley” Lin, in collaboration with Michigan State University Professors Xiaoming Liu and Sijia Liu, received $1M funding from DARPA for their project titled Intelligent Diagnosis for Machine and Human-Centric Adversaries. 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. Covers topics in advanced machine learning. Topics include magnetics units, magnetic materials classification, origin of ferromagnetism and ferrimagnetism, magnetic anisotropies, magnetostriction, magnetic domain theory, ferromagnetic/ferrimagnetic resonance, soft magnetic materials, hard magnetic materials, applications of magnetic materials, information storage, and leading-edge research. Reviews applications of complex variable theory drawn from optics and electromagnetic theory and from digital signal processing and digital communications. Statistical and Adaptive Signal Processing. Requires a strong understanding of linear systems, transform techniques, and linear algebra. 4 Hours. 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. EECE 7346. Introduces linear regulators, switching converters, switched-capacitor converters, voltage references, energy harvesters, and battery chargers. Our goal is to ensure that the education you receive at National University is among the most relevant and rewarding in higher learning. 4 Hours. Handbooks & Materials for Candidates. Offers students an opportunity to conduct full-time research under faculty supervision. Find Faculty & Staff • 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. The first part of the course emphasizes understanding and modeling of such circuits, and provides a background for engineering evaluation of power converters.