EECE 2300. 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. Topics include linearity, time invariance, causality, stability, convolution, system interconnection, and sinusoidal response. EECE 4688. EECE 7204 - Applied Probability and Stochastic Processes class wall and course overview (exams, quizzes, flashcards, and videos) at Northeastern (NU) Uses symmetrical component transformation and positive, negative, and zero sequence networks to analyze unbalanced systems. Supports class material related to transmission lines, wave-guiding structures, plane wave reflection and refraction, and antenna radiation. Blackboard: This course uses the Northeastern University Blackboard Course Management System accessible through MyNEU or by going to https://blackboard.neu.edu. Explores differential signal processing, operational amplifiers, operational transconductance amplifiers, and common-mode feedback circuits. Embedded Design: Enabling Robotics. The schedule of classes lists all of the classes that are available for registration in a specific term. Offers a unified theoretical approach to the physics of image formation through scattering and wave propagation in sensing. Lectures cover relevant topics, including surveys of specific physical and cognitive disabilities and applicable engineering technologies. Do not try to go in through the Pearson site directly. Covers the software life cycle (requirements analysis and specification, software design, coding, testing, and maintenance); various models of the software process—structured and agile; the Unified Modeling Language (UML) as applied to the software life cycle, prototyping, and documentation; design patterns; software metrics and estimation; software development environments and tools; and verification and validation. Provides an overview of integrated circuit fabrication from the viewpoint of a process engineer. 4 Hours. Introduces basic computational and mathematical techniques for modeling, simulating, and analyzing the performance by using simulation, including models, random-number generation, statistics, and discrete event-driven simulation. Presents numerical techniques used in solving scientific and engineering problems with the aid of digital computers. May be repeated without limit. Computational Methods for Data Analytics. Noise and Stochastic Processes. Fundamentals of Electronics. 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. Examines safety issues, ethics, and regulatory hurdles from both an industry and research perspective. EECE 5115. Introduces robotics analysis covering basic theory of kinematics, dynamics, and control of robots. Reviews phasor diagrams and three-phase circuits; the magnetic aspects including magnetic circuits and permanent magnets; transformers, their equivalent circuits, and performance; principles of electromechanical energy conversion; elementary concepts of rotating machines including rotating magnetic fields; and steady-state theory and performance of induction machines, synchronous machines, and direct current machines. 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. Independent Study. Complete 16 semester hours from the course list. With each modality, instrument parameters, contrast mechanisms, resolution, and depth of penetration are considered. Examines healthcare technologies using both theory and hands-on approaches. Statistical Inference: An Introduction for Engineers and Data Analysts. 4 Hours. EECE 4993. Covers Kalman filters and particle filters as applied to the SLAM problem. Covers transmission lines, impedance matching, S-parameters, high-frequency circuit analysis, power dividers, resonators, and filters. Although courses may vary, among our typical offerings are: STEM. 2020-21 Undergraduate PDF Emphasizes practical robot applications ranging from disaster response to healthcare to space exploration. Northeastern University . EECE 4512. 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. 4 Hours. Design of Analog Integrated Circuits with Complementary Meta... Complex Variable Theory and Differential Equations, Applied Probability and Stochastic Processes, System Identification and Adaptive Control, Modeling and Simulation of Power System Transients, Integrated Circuits for Mixed Signals and Data Communication, Introduction to Microelectromechanical Systems (MEMS), Microwave Circuit Design for Wireless Communication, Radio Frequency Integrated Circuit Design, Computational Methods in Electromagnetics, Advanced Magnetic Materials—Magnetic Devices, Magnetic Materials—Fundamentals And Measurements, Two Dimensional Signal and Image Processing, Statistical And Adaptive Signal Processing. Topics may include kinematics, dynamics, numerical methods, state estimation, control, perception, localization and mapping, and motion planning for mobile robots. Introduces basic concepts of digital communication over additive white Gaussian noise (AWGN) channels. EECE 7374. Topics include atomic structure and bonding in materials, structure of materials, and crystal defects. A sophomore might begin cooperative work experience as an engineering assistant and progress by the senior year to a position with responsibilities similar to those of entry-level engineers. The first part of the course emphasizes understanding and modeling of such circuits, and provides a background for engineering evaluation of power converters. Special Topics in Electrical and Computer Engineering. EECE 4949. EECE 5642. Complete 12 semester hours from the course list. 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. 4 Hours. 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. The university is a leader in experiential learning, powered by the world’s most far-reaching cooperative education program. Offers independent work under the direction of members of the department on a chosen topic. Thin Film Technologies. Electrical and Computer Engineering Capstone 1. Analysis of Unbalanced Power Grids. EECE 5688. 4 Hours. 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. Develops the basic theory of continuous and discrete systems, emphasizing linear time-invariant systems. Introduces the fundamental physical principles for the electromagnetic radiation from antennas and presents the most important mathematical techniques for the analysis of the radiation. Explores a wide variety of modalities for biomedical imaging in the pathology laboratory and in vivo. Emphasizes MOS devices, which are currently the dominant technology in integrated circuits. Course Offerings . Addresses concepts such as hypothesis testing, Bayesian principles, likelihood functions, sufficient statistics, optimal estimation, and prediction. Programming is done in variants of the C programming language. Brief Description Terahertz (THz)-band (0.1–10 THz) communication is envisioned as a key wireless technology of the next decade. May be repeated without limit. 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. Covers common radio receiver architectures. Computer security problems have a significant impact on practical aspects of our lives. Modern computers take advantage of multiple threads and multiple cores to accelerate scientific and engineering applications. Fundamentals of Networks. Research Laboratory Project. Circuits and Signals: Biomedical Applications. The concept of a layered network architecture is used as a framework for understanding the principal functions and services required to achieve reliable end-to-end communications. 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. Covers the electronics of radio receivers and transmitters. Beyond covering the theory behind statistical data analysis, the course also offers a hands-on approach, using Spark as a development platform for parallel learning. Biomedical Imaging. Teams of students propose, design, and build a functioning electrical or computer engineering system—just as they might in actual practice. Digital Control Systems. Introduces microelectromechanical systems, including principles of sensing and actuation, microfabrication technology for MEMS, noise concepts, and packaging techniques. Course work is drawn from a curriculum that includes cutting-edge ECE technologies: embedded systems and internet of things, robotics and cyber-human systems, networking (mobile/wireless as well as the internet of the future), and big data analytics and machine learning. Srinivas Tadigadapa, PhD 4 Hours. 4 Hours. Embedded Design: Enabling Robotics. Addresses novel applications of analytical and engineering techniques for RF/Microwave Circuits. Offers a comprehensive introduction to the technology, theory, and applications of the most important electronic devices in today’s integrated circuits. A large component of the class involves programming in both the ROS and LCM environments with real field robotics sensor data sets. Offers theoretical or experimental work under individual faculty supervision. Introduces recent research trends in novel device concepts. 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. Course projects emphasize model-based design for control of assistive robots in smart environments. 4 Hours. The laboratory, EECE2413, will be closely coordinated with the class material. Analyzes resistive and complex impedance networks. Studies lasers and other light sources, opticalfibers, detectors, CCD cameras, modulators, and othercomponents of optical systems. Interdisciplinary Advanced Writing in the Disciplines. Introduces processing and analysis of digital images with the goal of recognition of simple pictorial patterns. Covers examples from a variety of scientific, medical, interactive multimedia, and artistic applications. Dynamical Systems in Biological Engineering. Project groups are matched with product design mentors who guide groups through the design process. Amplifier circuits are introduced with the evaluation of voltage transfer characteristics and the fundamentals of small-signal analysis. The Bachelor of Science programs allow students sufficient flexibility within the standard eight academic semesters to earn a minor in nearly any department in the university. Covers topics from the course through various experiments. Introduces the vector potentials and the theorems that are needed for the derivation of the radiation integrals from Maxwell’s equations. EECE 5666. The curricula are continuously assessed to ensure that graduates can achieve these goals and g… ... EECE 7203 - Complex Variable Theory and Differential Equations . Simulation and Performance Evaluation. 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