Solid State Devices. Students are encouraged to use AP credits and transfer credits obtained before coming to Northeastern to take advantage of this option. Refer to the Schedule of Classes. These topics lay a foundation for the introduction of thermal and electronic conduction, which is the underlying physics of electronic devices. 4 Hours. The third part covers applications of sensor networks technology to many challenging problems of our times, including cyber- physical systems, smart cities, smart transportation systems, and underwater sensing systems. 4 Hours. Image Processing and Pattern Recognition. Elective EECE Tech Elective 2; 4 ENCP3000 Prof. Issues in Eng'g. The goal of computer vision is to make useful decisions about real physical objects and scenes based on sensed images. EECE 2520. A project is assigned that involves the creation of a trace-driven simulation model to study the performance of various hardware or software architectural features. Presents concepts with examples from modern optical systems such as LIDAR, fiber-optical sensors, range finders, infrared systems, and optical communication systems. Focuses on graphical models, latent variable models, Bayesian inference, and nonparametric Bayesian methods. Uses symmetrical component transformation and positive, negative, and zero sequence networks to analyze unbalanced systems. 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. Scalable and Sustainable System Design. CS 4300 Computer Graphics 4. Offers a comprehensive introduction to the technology, theory, and applications of the most important electronic devices in today’s integrated circuits. Any recommendations for a good EECE tech elective to take? 4 Hours. 4 Hours. EECE 5610. Introduces linear regulators, switching converters, switched-capacitor converters, voltage references, energy harvesters, and battery chargers. Highlights implementation of computer arithmetic and how it varies on different computer architectures. Studies cutoff rate and its communication system design. Covers topics from the course through various experiments. Classical Control Systems. Wireless Communication Circuits. Presents basic topics (radio spectrum and its utilization, antennae, and information processing by modulation and demodulation). Introduction to Microelectromechanical Systems (MEMS). EECE 7240. 2020-21 College of Professional Studies Undergraduate PDF EECE 5155. 4 Hours. Northeastern combines rigorous academics with experiential learning and research to prepare students for real-world engineering challenges. Introduces the fundamental physical principles for the electromagnetic radiation from antennas and presents the most important mathematical techniques for the analysis of the radiation. Handling mobility efficiently requires more information sharing between network layers than is typically considered. Accompanies EECE 2530. Special Topics in Computer Engineering. Presents solutions to problems in electromagnetics using a wide variety of numerical and computational methods. ; and different thin film characterization technologies, in particular the magnetic thin film characterization technologies, including VSM, PPMS, FMR, MOKE, etc. Covers the electronics of radio receivers and transmitters. EECE 7374. A large component of the class involves programming in both the ROS and LCM environments with real field robotics sensor data sets. Reviews pertinent linear systems concepts and discusses connections with a geometric intuition relating quadratic optimization to projections. Employs a commercial radio transceiver (MFJ-9340) as a learning tool. Reviews basic protective relaying and relay settings using typical distribution system examples. Students may complete a Master of Science in Electrical and Computer Engineering with a Concentration in Communications, Control, and Signal Processing in addition to earning a Graduate Certificate in Engineering Leadership. Requires a strong understanding of linear systems, transform techniques, and linear algebra. Introduces optimal quantization and PCM and DPCM systems. 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 4632. Offers students who may pursue semiconductor process engineering, IC design, biomedical electronics, or research and development of microelectromechanical systems (MEMS) or optoelectronics devices an opportunity to obtain electronic device knowledge. EECE 5606. EECE 2750. Adaptive control, then, is the means by which a system that is poorly modeled is controlled adequately. Addresses some advanced design techniques, such as linearity improvement methods, frequency compensation, and digitally assisted performance tuning. 4 Hours. Topics are selected by the instructor and vary from semester to semester. Operating Systems: Interface and Implementation. 4 Hours. Digital Control Systems. Covers topics from the course through various experiments. Research Laboratory Project. Covers methods of digital simulation of power systems operating in the steady-state and transient conditions. 4 Hours. Requires proficiency in the C programming language, the GNU tool set for C programming, and debugging in Unix operating systems. Offers students an opportunity to explore circuits and signals in the lab and to use their knowledge of circuits, analog signals, digital signals, and biological signals to build a working analog/digital EKG system. 4 Hours. 4 Hours. EECE Tech Elective 2 EECE Tech Elective 4 General Elective 2 PROGRAM CALENDAR - CLASS OF 2018 Degree Requirements: 134 SH EECE 2150 or 2160 Lab for EECE 2150 or 2160 EE or CE Fundamentals EECE21x0 EECE21x1 4/3 EE or CE Fundmentals. High-Performance Computing. Focuses on advanced topics related to computer engineering technology to be selected by instructor. Requires a working knowledge of C programming language. Examines the fundamentals of two-dimensional signal processing, with emphasis on image processing. Covers Sturm-Liouville theory and uses it to develop eigen function and Green function solutions of homogeneous and inhomogeneous partial differential equations. Complete 8 additional semester hours from either the depth or breadth course lists below: Course Lists Depth Courses. Students who have completed CS3700 can count this as an CS Technical elective. Includes hands-on exercises and projects. Has anyone taken it before that would recommend it? 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. No Ratings . 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. Investigates the what (modeling), how (design), and why (analysis) of assistive robotics through the use of model-based design process. Offers dissertation supervision by members of the department. Degree Requirements: 132 SH . Covers special topics in electrical and computer engineering. Complete 8 semester hours from the breadth course list below. 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. The second part covers standardization efforts, including Bluetooth, IEEE 802.15.4 and Zigbee, RFID, 6LowPan, and Internet of Things, among others. Offers students an opportunity to obtain a fundamental understanding of the property and manipulation of light at the nanoscale. Includes a software development project that covers all the stages of the life cycle. Introduces processing and analysis of digital images with the goal of recognition of simple pictorial patterns. Students not meeting course prerequisites may seek permission of instructor. Starts with the fundamental parameters of the antennas. EECE 7245. Wireless Sensor Networks and the Internet of Things. 4 Hours. 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. Considers the efficient generation of optimal solutions, the development and evaluation of heuristics, and the computation of tight upper and lower bounds. Focuses on the hardware and software design for devices that interface with embedded processors. Human Sensing and Recognition. 0 Hours. Requires good programming experience in Matlab or C++. Has anyone taken it before that would recommend it? Students should consult their faculty advisor regarding these options. Linear Systems Analysis. 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. Modeling large and complex systems requires reasoning about probabilistic behavior at a large scale. 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. Data Visualization. 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. Elective. Examines common types of power system faults. Offers theoretical or experimental work under individual faculty supervision. EECE 2530/2531 - Fundamentals Electromagnetics & lab. EECE 7297. 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. Parallel Processing for Data Analytics. Special Topics in Electrical and Computer Engineering. Electrical and Comp Engineerng (EECE) course reviews and classes being taught at Northeastern (NU) Electronic Materials. Covers transmission lines, impedance matching, S-parameters, high-frequency circuit analysis, power dividers, resonators, and filters. 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. Expects students to read conference and journal articles, present these articles, and write an individual research paper. 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. Assistive Robotics. 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