EECE 2750. Course lectures will be available online for remote students. 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. Discusses basic properties of entropy and mutual information, Shannon’s fundamental theorems on data compression and data transmission in the single-user case, binning, and covering lemmas. Has anyone taken it before that would recommend it? ARCH 5210. Covers the practical aspects of control systems design through lab experiments. Presents impedance matching techniques. Covers both the algorithms to manipulate these data structures as well as their use in problem solving. May be repeated without limit. Basic concepts include general definitions and network organization. Department Directory Contact Us. EECE 5652. Introduces the analysis and design of classical control systems. 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. Culminates with both an individual design project and a team-based final project of considerable complexity. 4 Hours. Covers the design and implementation of algorithms to solve engineering problems using a high-level programming language. 4 Hours. myNortheastern • Find Faculty & Staff • Find A-Z • Emergency Information • Search. EECE 5610. Topics include difference and differential equation models, with basic theory including nondimensionalization, steady states, linearization, stability, eigenvalues, global behavior, singular perturbations, multistability, hysteresis, cooperativity, periodic solutions, excitable systems, bifurcations, and an introduction to spatial (PDE) models. Introduces emerging energy-harvesting techniques for IC design. Provides an introduction to processing and analysis of digital images with the goal of recognition of simple pictorial patterns. INFO 7300. The final exercise is a project that lets each group integrate hardware and software to realize a complete embedded design. Requires a working knowledge of C programming language. Power Systems State Estimation. 4 Hours. Presents applications of nonlinear optics, such as second- and third-harmonic generation, optical mixing, optical parametric oscillation, multiple photon interaction, and linear and nonlinear scattering. Covers parallel and distributed processing concepts including concurrency and its management, models of parallel computation, and synchronous and asynchronous parallelism. 4 Hours. Emphasizes the foundations to prepare students for research in machine learning. Students must apply and be admitted to the Gordon Engineering Leadership Program in order to pursue this option. 1 Elective; General Elective 4; Elective EECE Tech Elective 1; 4 CS1800 Discrete Structures 4 *ENGW3302 Adv Writing in the Tech Prof 4 EECE4790 Capstone 1 4 CS1802 Recitation for CS1800; 1 (to be taken online) Elective. Methodology includes lectures, textbooks, and emphasis on readings from relevant literature. 4 Hours. Offered every spring semester. Amplifier circuits are introduced with the evaluation of voltage transfer characteristics and the fundamentals of small-signal analysis. Analysis of Unbalanced Power Grids. Offers continued dissertation work conducted under the supervision of a departmental faculty member. 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. Special topics include spatial frequency reuse; call blocking and cellular system capacity; power control and hand-off strategies; channel access and sharing; orthogonal frequency division multiplexing (OFDM—a modulation technique used in WLAN and the fourth-generation [4G] cellular systems) and spread spectrum modulation (third-generation WCDMA systems); diversity techniques and multi-input multi-output (MIMO) signal processing. 72% Upvoted. EECE Technical Elective: 4: MATH 2321 (FQ) 4 EE Fundamentals: 4 EE Fundamentals: 5 18 4 0 8: Year 4; Fall Hours Spring Hours EECE 3468: 4: EECE 4792 (EI, CE, WI) 4 CE Fundamentals: 4: EECE Technical Elective: 4 EE Fundamentals: 5: EECE Technical Elective: 4 EECE Technical Elective: 4: General Elective: 4 17 16 Total Hours: 132 EECE 432 - Physics & Tech of Solar Cells. EECE 5627. An additional 4SH of credits will be allowed as a general elective. Requires knowledge of basic probability. The cooperative education program, also known as co-op, is one of the largest and most innovative in the world, and Northeastern is one of only a few that offers a co-op program for graduate students. 4 Hours. Offers first- and second-year students an opportunity to pursue project and other independent inquiry opportunities under faculty supervision. Circuits and Signals: Biomedical Applications. Offers an up-to-date account of the strategies utilized in state estimation of electric power systems. Classical crystal optics are extended to nonlinear effects observed with very intense electric and magnetic fields. EECE 5697. 1-4 Hours. Covers simple adaptive systems, adaptive observers, and adaptive control. EECE 9991. Focuses on the hardware and software design for devices that interface with embedded processors. 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. Digital Control Systems. Complete 8 additional semester hours from either the depth or breadth course lists below. Fundamentals of Electronics. 2019–2020 Catalog and Course Descriptions . 4 Hours. Computer security problems have a significant impact on practical aspects of our lives. 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. Covers design and modeling of architectures, communication protocols, and algorithms for wireless sensor networks. Includes a number of practical lab assignments that require students to apply their knowledge, as well as engage in a discussion of the current research in the field. 8: Course Lists Depth Courses . Elective: Complete 8 additional semester hours from either the depth or breadth course lists below. Introduces fundamentals of statistical inference and data analysis through concepts of detection, estimation, and related signal processing algorithms. This course focuses on the science and engineering fundamentals of photovoltaic solar energy devices and … Master's Degree in Electrical and Computer Engineering with a Concentration in Communications, Control, and Signal Processing with Graduate Certificate in Engineering Leadership. 4 Hours. Covers basic and advanced topics in imaging engineering. Discusses efficient matrix methods, relaxation methods, the conjugate gradient technique, and multidimensional Newton’s method in the context of electromagnetic field simulation. Applied Probability and Stochastic Processes. 4 Hours. Introduces basics of radio propagation and studies their effect on communication signals. Digital Signal Processing. Then presents fundamentals of three-phase circuit analysis in the steady state, both for balanced and unbalanced operating conditions. Final semester, need to take one more EECE tech elective. Dissertation Term 1. Explores differential signal processing, operational amplifiers, operational transconductance amplifiers, and common-mode feedback circuits. Arithmetic and Circuit Design for Inexact Computing with Nanoscaled CMOS. Examines important electrodynamic applications by the use of advanced mathematical techniques. Focuses on the physics, chemistry, and technology of integrated circuit fabrication in the lecture portion of the course, while students fabricate and test novel devices (an electrohydrodynamic micropump and three-dimensional carbon nanotube interconnects) in integrated lab sessions. EECE 5638. Includes a series of tightly related assignments, which guide students through the implementation of a fully functional LLVM-based compiler from the ground up. Students not meeting course prerequisites may seek permission of instructor. The master's degree program in electrical and computer engineering offers in-depth course work within the concentration-choice-related areas. 4 Hours. Covers wireless standards, multiple-access techniques, and recent advances if time permits. Develops the Fourier and Laplace transforms for the discussion of frequency-domain applications. Discusses use of transient simulation programs for design and analysis of power systems. 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 Fundamentals of Engineering Algorithms. 0 Hours. Covers topics from the course through various experiments. ; and different thin film characterization technologies, in particular the magnetic thin film characterization technologies, including VSM, PPMS, FMR, MOKE, etc. The uses of the building blocks are demonstrated for the design of popular ICs, such as operational amplifiers and voltage comparators. 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 7105. 4 Hours. Statistical and Adaptive Signal Processing. Robotics Sensing and Navigation. EECE 7224. Provides an introduction to the theoretical analysis and modeling of dynamical systems in biology, ranging from molecular to population applications. Offers students an opportunity to obtain practical knowledge in computer vision and to develop skills for being a successful researcher in this field. 5 Hours. Introduces combinatorial optimization, an emerging field that combines techniques from applied mathematics, operations research, and computer science to solve optimization problems over discrete structures. Prerequisite: EECE 332 or an equivalent course in """"basic semiconductor device physics"""". Introduces cadence tools for circuit simulations, physical layout, and layout verification. You cannot take excluded courses as part of your MSECE program. Covers the state-of-the-art human-centered recognition technologies, including face/human detection, face/body tracking, face recognition, head/body pose estimation, expression recognition, body language recognition, gait analysis, hand/body/eye gesture, action/activity analysis, and so forth. Thin Film Technologies. Discusses the representation of signals and systems in both the time and frequency domain. May be repeated up to two times. No Ratings. I graduate in Spring 2019, so I don't have time to take many more classes. Examines safety issues, ethics, and regulatory hurdles from both an industry and research perspective. Parallel Processing for Data Analytics. Offers theoretical or experimental work under individual faculty supervision. The Capstone Design Courses are taken as follows: (EECE4790 - Summer 1 and EECE4792 - Spring) OR (EECE4790 - Summer 2 and EECE4792 - Fall) * ENGW3315. Course projects emphasize model-based design for control of assistive robots in smart environments. Complete 4 additional semester hours from either the depth or breadth course lists below. EECE 2560. 4 Hours. The goal of the field of computer vision is to make useful decisions about real physical objects and scenes based on sensed images. 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. 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. 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