Introduces fundamental concepts and approaches for the analysis and design of data networks. Considers the efficient generation of optimal solutions, the development and evaluation of heuristics, and the computation of tight upper and lower bounds. Computational Methods in Electromagnetics. Considers special functions of mathematical physics using generating functions, Taylor and Laurent expansions, and various integral representations. Discusses phase plane analysis for nonlinear systems. May be repeated without limit. Analysis and Design of Data Networks. Uses the ideal operational amplifier model, focusing on differential amplifiers and active filter circuits. Introduces the programming tools, algorithms, and software tools used in data analytics. The second part covers dynamics and control of this class of systems, enabling students to design controllers for a variety of power converters and motion control systems. Presents computer modeling of linear and nonlinear power system components to be used in transient studies. 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. Mobile and Wireless Networking. Electromagnetic Theory 2. Expects students to evaluate progress with interim milestone reports and to present the final design project with written and oral reports. EECE 9996. Covers topics from the course through various experiments. Introduces the fundamental concepts of acoustics and sensing with waves. 2 from EECE Technical Elective Level 1 Courses 2 from EECE Technical Elective Level 2 Courses *EECE Tech Elect *EECE Tech Elective Revised 5/24/10 *2 EECE technical electives can be from ECE Fundamentals, Level 1 or Level 2 offerings DRAFT ECE Tech. Topics include polarization, interference, diffraction, and optical properties of crystals, thin films, optical resonators, guided waves, modulators, and detectors. Includes attendance at Distinguished Lecture Series (DLS). Introduces the basic concepts related to circuits and circuit elements; current, voltage, and power; models for resistors, capacitors, and inductors; and circuit analysis using Kirchhoff’s laws. Coverage includes security and trust issues in all types of electronic devices and systems, such as ASICs, COTS, FPGAs, microprocessors/DSPs, and embedded systems. Examines control system objectives, modeling and mathematical description, transfer function and state-variable representations, feedback control system characteristics, system responses, and stability of feedback systems. Northeastern combines rigorous academics with experiential learning and research to prepare students for real-world engineering challenges. Topics include semiconductor electronic properties, Si fabrication technologies, p-n junctions, MOS capacitors, MOSFETS, metal-semiconductor contacts, and bipolar transistors. Statistical Inference: An Introduction for Engineers and Data Analysts. Covers fundamental algebraic concepts and algebraic structures. Wireless Sensor Networks and the Internet of Things. 4 Hours. 4 Hours. Also addresses compensator design based on root-locus and frequency response, and modern control system design using state-variable feedback. Classical Control Systems. Complete 4 additional semester hours from either the depth or breadth course lists below. 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. Computer Hardware Security. EECE 2949. Healthcare Technologies: Sensors, Systems, and Analysis. Covers transmission lines, impedance matching, S-parameters, high-frequency circuit analysis, power dividers, resonators, and filters. 2020-21 College of Professional Studies Undergraduate PDF, Dynamical Systems in Biological Engineering, Special Topics in Electrical and Computer Engineering (GNSS Signal Processing), Special Topics in Electrical and Computer Engineering (Feedback Control Systems: Applications to Unmanned Aerial Vehicles), Applied Probability and Stochastic Processes, System Identification and Adaptive Control, Statistical and Adaptive Signal Processing, Big Data and Sparsity in Control, Machine Learning, and Optimization, Probabilistic System Modeling and Analysis, Special Topics (Terahertz Communications), Special Topics (Current Research in NonLinear Systems), Special Topics (Introduction to Distributed Intelligence), Special Problems in Electrical and Computer Engineering, Wireless Sensor Networks and the Internet of Things, Introduction to Multiferroics Materials and Systems, Robotics Sensing and Navigation (Robotics Sensing and Navigation), Arithmetic and Circuit Design for Inexact Computing with Nanoscaled CMOS, Compilers for Modern Computer Architectures, Introduction to Machine Learning and Pattern Recognition, Design of Analog Integrated Circuits with Complementary Metal-Oxide-Semiconductor Technology, Special Topics in Electrical and Computer Engineering (Networks: Technology, Economics, Social Interactions), Special Topics in Electrical and Computer Engineering (Hardware and System Security), Special Topics in Electrical and Computer Engineering (Advanced Network Management), Special Topics in Electrical and Computer Engineering (Electromagnetic Devices), Complex Variable Theory and Differential Equations, Modeling and Simulation of Power System Transients, Advanced Power Electronics (Advanced Power Electronics), Integrated Circuits for Mixed Signals and Data Communication, Introduction to Microelectromechanical Systems (MEMS), Microwave Circuit Design for Wireless Communication, Radio Frequency Integrated Circuit Design, Human Sensing and Recognition (Human Centered Computing -- former Special Topics), Computational Methods in Electromagnetics, Advanced Magnetic Materials—Magnetic Devices, High-Level Design of Hardware-Software Systems, Operating Systems: Interface and Implementation, Scalable and Sustainable System Design (Scalable and Sustainable System Design), Special Topics (Advanced Computer Architecture), Special Topics (Power System Constrained Optimization), Special Topics (Advances in Deep Learning), Special Topics (Advanced Radio Frequency Passive Technologies), Preparing High-Stakes Written and Oral Materials, Sustainable Energy: Materials, Conversion, Storage, and Usage. 4 Hours. Integrated Circuits for Mixed Signals and Data Communication. Antennas and Radiation. Covers theory and practice of modern signal processing techniques with emphasis on optimal filtering and multirate signal processing. Discusses in detail two major adaptive schemes, model reference adaptive control (MRAC) and self-tuning regulators (STR). 32 total semester hours required Minimum 3.000 GPA required, myNortheastern • Continues with a discussion on the physical origins of noise and models of where it is encountered in electronic devices, signal processing, and communications. Includes experiments with microwave transmission line measurements and the determination of the properties of dielectric materials, network analyzer analysis of microwave properties of circuit elements and transmission line electrical length, analysis of effective dielectric constant and loss from microstripline resonator transmission, optical measurement of refraction and reflection leading to determination of Brewster angle and optical constants for transparent and absorbing materials, and measurement of radiation patterns from dipole antennas. 4 Hours. Introduction to Microelectromechanical Systems (MEMS). EECE 4626. Requires knowledge of basic probability. EECE 5576. Focuses on the various building blocks of analog circuits, their operation, and the underlying principles and techniques, with analysis supplemented by CAD simulation. 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. Department Directory Contact Us. EECE 5155. Students who do not meet course prerequisites may seek permission of instructor. 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. Offers an integrated lecture/lab course that covers the basics of the Unix operating system, high-level programming concepts, introductory digital design, wireless networking, and Simulink design. Discusses applications to wave guides, resonators, optical fibers, and radiation and elementary antennas. 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. Employs microwave CAD tools in design projects as well as in-class case-study examples. Comprises the theory of functions of a complex variable. Introduces recent research trends in novel device concepts. EECE Tech Elective 2; 4. EECE 7364. Examines the electronic properties of semiconductors, dielectric, magnetic, superconducting, and optical materials. Master's Degree in Electrical and Computer Engineering with a Concentration in Communications, Control, and Signal Processing with Graduate Certificate in Engineering Leadership. Modeling and Simulation of Power System Transients. Examines fundamental principles of wireless system design, focusing on modern techniques used in cellular systems and wireless local area networks. 4 Hours. Northeastern combines rigorous academics with experiential learning and research to prepare students for real-world engineering challenges. 0 Hours. 4 Hours. Offers students an opportunity to develop a proposal for a design project that uses engineering technologies to improve the lives of individuals with cognitive or physical disabilities. Explores a wide variety of modalities for biomedical imaging in the pathology laboratory and in vivo. Students will learn not only the current practice of the field, but also techniques for future learning that will enable them to … 4 Hours. Course material includes state-of-the-art in the field, current research trends, and algorithms and their applications, with an emphasis on the mathematical methods used. Begins with the basic theory of discrete and continuous probabilities, then develops the concepts of random variables, random vectors, random sequences, and random processes. 4 Hours. 4 Hours. 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. Offers analytical and/or experimental work conducted under the auspices of the department. Exercises are centered around a common embedded platform. 4 Hours. Advanced Magnetic Materials—Magnetic Devices. Emphasizes recursive approaches, such as recursive least squares algorithm, where parameter estimates are updated in real time. Uses symmetrical component transformation and positive, negative, and zero sequence networks to analyze unbalanced systems. Introduces fundamental theoretical and algorithmic concepts behind numerical optimization theory for objective functions with finite numbers of parameters. Introduces combinatorial optimization, an emerging field that combines techniques from applied mathematics, operations research, and computer science to solve optimization problems over discrete structures. Embedded Design: Enabling Robotics. 4 Hours. EECE 7205. Emphasizes the foundations to prepare students for research in machine learning. Reviews methods for dealing with both large and high-dimensional data sets, emphasizing distributed implementations. Investigates the what (modeling), how (design), and why (analysis) of assistive robotics through the use of model-based design process. Optimal and Robust Control. 2019–2020 Catalog and Course Descriptions . Hardware-Software Codesign for FPGA-Based 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. Topics include transmission lines: transmission line model with distributed circuit elements, transmission line equations and solutions, one-dimensional traveling and standing waves, and applications; electromagnetic field theory: Lorentz force equations, Maxwell’s equations, Poynting theorem, and application to the transmission line’s TEM waves. EECE 7237. Presents the formal mathematical treatment of classical crystal optics including dispersion, polarization, birefringence, metal optics, and the optics of thin films. Lectures cover relevant topics, including surveys of specific physical and cognitive disabilities and applicable engineering technologies. Topics may include kinematics, dynamics, numerical methods, state estimation, control, perception, localization and mapping, and motion planning for mobile robots. Discusses metrics and benchmarking techniques used for evaluating performance. 4 Hours. 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. Universities » Northeastern University (NU) » Easy Classes. 8: Course Lists Depth Courses . Introduction to Software Security. ECE Depth Courses as listed in the catalog Academic Advising For support with academic questions, students should reach out to their undergraduate academic advisor in their home college as well as the Graduate School by emailing email@example.com for more information about the PlusOne pathway of interest within COE. 4 Hours. EECE 4638. Has anyone taken it before that would recommend it? Introduces analog integrated circuits (ICs) concepts with bipolar and field effect transistor devices. 4 Hours. EECE 7284. Covers theoretical analysis, practical design, and simulation of analog integrated circuits implemented in complementary metal-oxide-semiconductor (CMOS) fabrication process technologies. These topics lay a foundation for the introduction of thermal and electronic conduction, which is the underlying physics of electronic devices. EECE 7214. Offers analytical and/or experimental work conducted under the auspices of the department. EECE 4792. EECE 7200. Micro- and Nanofabrication. EECE 2150, EECE 2412, EECE 2413, EECE 2520, EECE 3468* *May be replaced with another probability course: PlusOne in Electrical and Computer Engineering, Concentration in Computer Networks and Security: EECE 2150, EECE 2160, EECE 2412, EECE 2413, and two of the following: EECE 2322 (with EECE 2323), EECE 2540, or EECE 2560 EECE 7203. Focuses on using real large-scale robotics systems in real-world settings. 4 Hours. May be repeated without limit. Introduces basic concepts and recent developments in nanophotonic materials and devices. 4 credits. May be repeated up to two times. EECE Tech Elective 1 ; 4 EECE2150 Circuits/Signals: Biomed Apps. At most one of these courses (4SH) can be taken in a semester. Requires a working knowledge of C programming language. Provides an overview of integrated circuit fabrication from the viewpoint of a process engineer. Computer Architecture. EECE 5686. Topics include atomic structure and bonding in materials, structure of materials, and crystal defects. Discusses the fundamentals of electromagnetics (Maxwell’s equations, polarization, wave propagations, etc. Finally, the electronic properties of semiconductors, dielectric, magnetic, superconducting, and optical materials are examined. 8: Course Lists Depth Courses. EECE 7240. 4 Hours. 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. Provides a broad overview of power system operation and the role of state estimation in overall energy management. EECE 7250. EECE 7397. Covers common programming, configuration, and design mistakes and examines possible protection and detection techniques.Uses examples to highlight general error classes. 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. Examines the role of software and hardware in the design and use of real autonomous systems, including autonomous cars, autonomous underwater vehicles, and unmanned aerial systems. 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. 1-4 Hours. 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