Fundamentals of Networks. 4 Hours. May be repeated without limit. Includes example data-oriented applications taken from multiple science/engineering disciplines and applies linear algebra and probability to analyze actual data sets. 4 Hours. EECE 5626. 4 Hours. Topics include assembly language; addressing modes; embedded processor organization; bus design; electrical characteristics and buffering; address decoding; asynchronous and synchronous bus protocols; troubleshooting embedded systems; I/O port design and interfacing; parallel and serial ports; communication protocols and synchronization to external devices; hardware and software handshake for serial communication protocols; timers; and exception processing and interrupt handlers such as interrupt generation, interfacing, and auto vectoring. Successful engineers need to organize and adapt information to solve problems. EECE 5666. Starts with a detailed description of three-phase modeling of basic power system elements such as transmission lines, transformers, and generators. EECE 2949. Covers actuators, sensors, system modeling, analysis, and motion control of robots. Statistical Inference: An Introduction for Engineers and Data Analysts. Emphasizes the foundations to prepare students for research in machine learning. Northeastern University myNortheastern • Find Faculty & Staff • Find A-Z • Emergency Information • Search 360 Huntington Ave., Boston, Massachusetts 02115 • 617.373.2000 • TTY 617.373.3768 EECE 2520. Founded in 1898, Northeastern is a global research university with a distinctive, experience-driven approach to education and discovery. 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. Examples emphasize concepts introduced in EECE 5580, such as system response to stimuli, stability, and robustness. Emphasizes modern engineering applications of computer vision, graphics, and pattern classification methodologies for data visualization. Provides an introduction to the theoretical analysis and modeling of dynamical systems in biology, ranging from molecular to population applications. EECE 3324. Covers a range of algorithms, focusing on the underlying models between each approach. 4 Hours. Students who do not meet course prerequisites may seek permission of instructor. Examines fundamental principles of wireless system design, focusing on modern techniques used in cellular systems and wireless local area networks. May be repeated without limit. Students not meeting course prerequisites may seek permission of instructor. Acoustics and Sensing. Offers students a hands-on experience developing a remote-controlled robotic arm using an embedded systems platform. 4.00 . Introduces microelectromechanical systems, including principles of sensing and actuation, microfabrication technology for MEMS, noise concepts, and packaging techniques. Accompanies EECE 4524. 2020-21 Graduate PDF The academic program is supported by extensive laboratory facilities for study and experimentation in computing, circuit analysis, electronics, digital systems, microwaves, control systems, semiconductor processing, very large-scale integration (VLSI) design, and digital signal processing. Emphasizes the importance of software engineering principles. Covers a structured digital CMOS design focusing on designing, verifying, and fabricating CMOS VLSI-integrated circuits and modules. Lab hours are arranged. 4 Hours. During the cooperative work phase of the program, the students’ levels of responsibility grow as they gain theoretical and technical knowledge through academic work. Complete 12 semester hours from the course list. 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. Covers examples from a variety of scientific, medical, interactive multimedia, and artistic applications. 4 Hours. The laboratory, EECE2413, will be closely coordinated with the class material. 4 Hours. Please see the programs tabfor a list of the department's academic programs. May be repeated without limit. Covers simulation and testing of designs. Introductory Directed Research in Electrical and Computer Engineering. Dynamical Systems in Biological Engineering. EECE Dept. Topicsinclude geometrical optics, polarized light, diffraction, andinterference. If you connect via that link I think you can register without a course ID. 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. 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. Nanophotonics is one very important research area in nanotechnology. Introduces algorithm complexity analysis and its application to developing efficient algorithms. Introduces basic concepts and recent developments in nanophotonic materials and devices. Presents applications tospecific systems such as fiber-optic communication, medicalimaging systems, fiber-optic sensors, and laser radar. Electronic Materials. Discusses the representation of signals and systems in both the time and frequency domain. Note: Printed catalogs do not contain course descriptions. Computer vision brings together imaging devices, computers, and sophisticated algorithms to solve problems in industrial inspection, autonomous navigation, human-computer interfaces, medicine, image retrieval from databases, realistic computer graphics rendering, document analysis, and remote sensing. EECE 4792. EECE 5576. Your user ID no longer exists. Introduces basic concepts of linearity and time-invariance for both continuous and discrete-time systems and concepts associated with analog/digital conversion. Starts with the fundamental parameters of the antennas. Northeastern is proud to play a large role in educating tomorrow's leaders in this emerging area. 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. Topics include practical examples based on LLVM, a popular intermediate language specification and tool chain. 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. Investigates the science and engineering of mobile robots. Wireless Sensor Networks and the Internet of Things. Combinatorial Optimization. EECE 5115. 4 Hours. Addresses novel applications of analytical and engineering techniques for RF/Microwave Circuits. The second part covers standardization efforts, including Bluetooth, IEEE 802.15.4 and Zigbee, RFID, 6LowPan, and Internet of Things, among others. Course lectures will be available online for remote students. Analysis methods include the evaluation of linearity, noise, stability, and device mismatches from process variations. EECE 7201 at Northeastern University (Northeastern) in Boston, Massachusetts. Introduces processing and analysis of digital images with the goal of recognition of simple pictorial patterns. Topics are selected by the instructor and vary from semester to semester. Simulation and Performance Evaluation. Amplifier circuits are introduced with the evaluation of voltage transfer characteristics and the fundamentals of small-signal analysis. BS, MS, and PhD degrees are offered in both electrical and computer engineering. 4 Hours. 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. EECE 5554. Two introductory electrical and computer engineering courses meet in integrated lab-classrooms where students and professors, assisted by undergraduate and graduate teaching assistants, work together on both theoretical and practical aspects of a wide range of signal processing and computing systems. There will be lectures, homework assignments, computer-based design assignments, and of course, exams. Studies machine learning (the study and design of algorithms that enable computers/machines to learn from experience/data). Info Northeastern University's EECE department has 63 courses in Course Hero with 1576 documents and 49 answered questions. Wireless Communication Circuits. Wireless Communication Systems. Check the course site regularly for class materials and additional resources. Demonstrates discrete-time linear filter design on acquired signals in the MATLAB environment. EECE 4520. 4 Hours. Examines common types of power system faults. See Accelerated Bachelor/Graduate Degree Programs. Discusses metrics and benchmarking techniques used for evaluating performance. EECE 5697. This course provides experience with the engineering design process, which spans significant areas of electrical and computer engineering. Introduces robotics analysis covering basic theory of kinematics, dynamics, and control of robots. Covers topics from the course through various experiments. Northeastern is offering more than 200 courses in over 50 subjects for one of the most affordable prices around. The university catalog lists all of the courses that could potentially be offered at Northeastern University for the year. Covers the practical aspects of control systems design through lab experiments. Covers fundamental DC and AC electrical concepts as well as analog and digital electronics. These topics lay a foundation for the introduction of thermal and electronic conduction, which is the underlying physics of electronic devices. Offers students an opportunity to fabricate micro- and nanoscale devices in integrated lab sessions. 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. Project groups are matched with product design mentors who guide groups through the design process. Parallel Processing for Data Analytics. You can recover your data by answering these questions. The uses of the building blocks are demonstrated for the design of popular ICs, such as operational amplifiers and voltage comparators. Provides a basic treatment of electronic materials from atomic, molecular, and application viewpoints. Discusses the fundamentals of electromagnetics (Maxwell’s equations, polarization, wave propagations, etc. 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 Lab for EECE 2530: 5: Computer Engineering Fundamentals: If more than one computer engineering fundamentals course is taken, it can count as a technical elective. To thrive in Silicon Valley, Agarwal knows that Northeastern has to be nimble, ready to offer courses in subjects such as machine learning, augmented reality and Internet of Things (IoT). 4 Hours. 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. Topics may include kinematics, dynamics, numerical methods, state estimation, control, perception, localization and mapping, and motion planning for mobile robots. Covers introduction to multiferroics, atomic structure of multiferroics (chemistry), multiferroic material science, continuum-level analysis of multiferroic materials, and multiferroic devices. 4 Hours. 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. Thin Film Technologies. Introduces the analysis and design of classical control systems. Accompanies EECE 5580. Introduces analog-to-digital and digital-to-analog conversion concepts and the concepts of feedback and instability with applications to the design of amplifiers and oscillators. 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. May include additional topics at instructor’s discretion. 4 Hours. EECE 5610. Presents impedance matching techniques. 4 Hours. Find A-Z • The schedule of classes lists all of the classes that are available for registration in a specific term. Presents circuit-level designs of radio building blocks (resonators; L-C RF filters; crystals and IF filters; tuned transformers and impedance matching; amplifiers and power amplifiers; RF oscillators; mixers and up/down frequency conversion; signal detectors; and automatic gain control circuits). Robotics Sensing and Navigation. Presents the theory and practice of modern signal processing techniques. EECE 5645. Offers students an opportunity to learn where and how to apply machine learning algorithms and why they work. EECE 5552. The curricula are continuously assessed to ensure that graduates can achieve these goals and go on to succeed as professional electrical or computer engineers. The goal of computer vision is to make useful decisions about real physical objects and scenes based on sensed images. Although courses may vary, among our typical offerings are: STEM. Fundamentals of Digital Design and Computer Organization. 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. Covers the electronics of radio receivers and transmitters. Enabling Engineering. Introductory Directed Research in Electrical and Computer En... Healthcare Technologies: Sensors, Systems, and Analysis, Hardware-Software Codesign for FPGA-Based Systems. Arithmetic and Circuit Design for Inexact Computing with Nan... Introduction to Machine Learning and Pattern Recognition. Covers experiments reinforcing basic electronics topics such as diodes, bipolar junction transistors (BJT) as a switch, BJT amplifiers, and MOSFET circuits for switching and amplification. Labs incorporate real field sensors and platforms. The first half of the course focuses on the compiler front end, based on a lexical analyzer, syntax parser, and intermediate code generator. Introduces combinatorial optimization, an emerging field that combines techniques from applied mathematics, operations research, and computer science to solve optimization problems over discrete structures. Designed for students with primary interests in power conditioning, control applications, and electronic circuits, but it could prove useful for designers of high-performance computers, robots, and other electronic and electromechanical (mechatronic) systems in which the dynamical properties of power supplies become important. 4 Hours. Briefly introduces operation of the principal semiconductor devices: diodes, field-effect transistors, and bipolar junction transistors. EECE 5360. Supports class material related to transmission lines, wave-guiding structures, plane wave reflection and refraction, and antenna radiation. Uses PSpice software to simulate circuits and large-signal models and transient simulations to characterize the behavior of transistors in amplifiers and switching circuits. A senior-year design course caps the education by drawing on everything learned previously. Introduces the fundamental physical principles for the electromagnetic radiation from antennas and presents the most important mathematical techniques for the analysis of the radiation. Data Visualization. 4 Hours. 4 Hours. Applies these principles and techniques to practical antenna systems. Introduction to Machine Learning and Pattern Recognition. The Z-transform and the discrete-time Fourier transform are developed and applied to the analysis of discrete-time signals and systems. 4 Hours. Covers advanced analog and mixed-signal circuit analysis topics. Covers the application of these theories to practical antennas and antenna systems, including linear wire antennas, loop antennas, linear and two-dimensional planar phased arrays, patch antennas, frequency-independent antennas, and aperture and reflector antennas. The curricula are continuously assessed to ensure that graduates can achieve these goals and g… 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. EECE 5641. EECE 5688. EECE 5161. Offers students an opportunity to learn how the security of systems can be violated and how such attacks can be detected and prevented. After an introductory discussion of tissue properties, waves used in imaging, and contrast mechanisms, the course discusses modalities such as microscopy, endoscopy, x-ray, computed tomography, ultrasound, and MRI. Presents basic topics (radio spectrum and its utilization, antennae, and information processing by modulation and demodulation). Focuses on the hardware and software design for devices that interface with embedded processors. Develops the basic theory of continuous and discrete systems, emphasizing linear time-invariant systems. Therefore, the goal of the electrical engineering and computer engineering programs is to help students develop these skills and provide the appropriate technical background for a successful career. EE student prerequisites: EECE 301 and EECE 315. The university is a leader in experiential learning, powered by the world’s most far-reaching cooperative education program. 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. EECE 5606. All the necessary information about device models, homework, examinations, EECE 2530. 4 Hours. Provide tools and techniques needed to analyze and design power conversion circuits that contain switches. Reviews basic circuit analysis techniques. Topics include atomic structure and bonding in materials, structure of materials, and crystal defects. Concentrates on silicon IC technology but also includes examples from other materials and device systems including microelectromechanical (MEMS) technologies that are used to build devices such as accelerometers, pressure sensors, and switches for telecommunications and other current examples provided from nanofabrication and nanotechnology. EECE 5643. Emphasizes presenting fundamental concepts, essential mathematical formulas and theorems, and engineering applications. EECE 4694. EECE 5644. 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. Digital Control Systems. Considers the efficient generation of optimal solutions, the development and evaluation of heuristics, and the computation of tight upper and lower bounds. EECE 4646. Optics for Engineers. 4 Hours. Related Courses. Begins with the basic theory of discrete and continuous probabilities, then develops the concepts of random variables, random vectors, random sequences, and random processes. EECE 2210. EECE 4632. Healthcare Technologies: Sensors, Systems, and Analysis. Presents a range of topics that include assembly language programming, number systems, data representations, ALU design, arithmetic, the instruction set architecture, and the hardware/software interface. 4.00 . 617.373.4431 (fax). EECE 7244 at Northeastern University (Northeastern) in Boston, Massachusetts. Special Topics in Electrical and Computer Engineering. Seeks to provide students with the opportunity to develop an understanding of pn … Embedded Design: Enabling Robotics. 4 Hours. Covers the design and implementation of algorithms to solve engineering problems using a high-level programming language. Covers common radio receiver architectures. Reviews foundations of stochastic processes including stationarity, ergodicity, autocorrelation, power spectrum, and filtering. Focuses on specific topics in nanophotonics, including silicon photonics; photonic crystals; plasmonics and optical metamaterials, with their diverse applications in optical circuits; imaging; optical trapping; biomedical sensing; and energy harvesting. 2020-21 Undergraduate PDF Brief Description Terahertz (THz)-band (0.1–10 THz) communication is envisioned as a key wireless technology of the next decade. Topics include service interfaces and peer-to-peer protocols, a comparison of the OSI (open system interconnection) reference model to the TCP/IP (Internet) and IEEE LAN (local area network) architectures, network-layer and transport-layer issues, and important emerging technologies such as Bluetooth and ZigBee. Finally, the electronic properties of semiconductors, dielectric, magnetic, superconducting, and optical materials are examined. Northeastern University . EECE 7337 - Information Theory . If the issue persists, please contact us at EECE 4790. 4 Hours. More than 90 percent of department undergraduates take advantage of the cooperative education program. EECE 2560. Analyzes sampling and quantization of continuous waveforms (A/D and D/A conversion), leading to the discussion of discrete-time FIR and IIR systems, recursive analysis, and realization. Therefore, the goal of the electrical engineering and computer engineering programs is to help students develop these skills and provide the appropriate technical background for a successful career. College of Professional Studies—Undergraduate Semester Conversion Effective fall 2016, the undergraduate programs in the College of Professional Studies are offered on a semester basis. You must select the term in which you would like to search for classes before proceeding to the class schedule search screen. 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 Covers accelerating scientific and other applications on computer clusters, many-core processors, and graphical processing units (GPUs). Design of Analog Integrated Circuits with Complementary Metal-Oxide-Semiconductor Technology. Topics covered include parallel computer architecture, parallel programming models, and theories of computation, as well as models for many-core processing. 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. Interdisciplinary Advanced Writing in the Disciplines. Advanced Engineering Algorithms. EECE 4572. Fundamentals of Engineering Algorithms. Project Option. They also must work effectively in teams and communicate well. Covers classical and modern algorithms that efficiently solve hard electrical and computer engineering optimization problems. Mathematical formulas and theorems, and regulatory hurdles from both an industry research. Introduced in EECE 5581 for undergraduate students to take without added charge and propagation. Addresses novel applications of lasers and algorithms for dead reckoning and visual odometry! And scripting languages and shows students the power of computational tools blackboard: this course the final exercise a. As operational amplifiers, and layout verification set of analytical and practical problems satisfy both course. See the programs tab for a list of the property northeastern eece courses manipulation of at... 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