Introduces fundamental concepts and approaches for the analysis and design of data networks. 2020-21 Graduate PDF Numerical Optimization Methods. Introduces basic concepts of dynamic optimization and applies them to problems of short-term and long-term optimal control, path planning and stabilization, state estimation, and filtering. 4 Hours. 4 Hours. Covers Cauchy’s integral and related theorems, Taylor and Laurent series, analytic continuation, and multivalued functions. Solid State Devices. Requires a verification review of a selected publication relevant to the course. EECE 4993. Covers the architecture of modern processors, including datapath/control design, caching, memory management, pipelining, and superscalar. The final exercise is a project that lets each group integrate hardware and software to realize a complete embedded design. Covers various levels of system design, from modulation/detection to traffic analysis. Modeling and Simulation of Power System Transients. Presents materials in the current machine learning literature. Discusses efficient matrix methods, relaxation methods, the conjugate gradient technique, and multidimensional Newton’s method in the context of electromagnetic field simulation. Accompanies EECE 4524. Additional topics include the asymptotic behavior of probabilistic systems, including stochastic approximation/Robbins-Monro type algorithms, and ODE/fluid limits. Discusses synchronization systems, analysis of PLL in the presence of noise, methods of timing recovery, channel capacity, and Shannon’s noisy channel coding theorem. Complete 4 semester hours from the breadth course list below or other EECE courses chosen in consultation with a faculty advisor. Covers delay models, multi-access communication, scheduling, routing, congestion control, and network coding. Elective: Complete 8 additional semester hours from either depth or breadth courses. Data Visualization. 4 Hours. Uses the ideal operational amplifier model, focusing on differential amplifiers and active filter circuits. Wireless Sensor Networks and the Internet of Things. Topics include discrete signals and systems in 2-D, 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. 4 Hours. Note: Depth courses cannot be taken for breadth. Emphasizes problems that arise in the areas of electrical and computer engineering, including VLSI, computer-aided design, parallel computing, computer architecture, and high-performance compiling. Topics include simple parallel algorithm formulation, parallelization techniques, interconnection networks, arrays, trees, hypercubes, message routing mechanisms, shared address space and message-passing multiprocessor systems, communication cost and latency-hiding techniques, scalability of parallel systems, and parallel programming concepts and application case studies. Requires proficiency in the C programming language, the GNU tool set for C programming, and debugging in Unix operating systems. Topics may vary from year to year. Reviews classic topics like Markov chains, convergence to a steady state, renewal processes, renewal reward processes, the strong law of large numbers, and the elementary renewal theorem. Identification is the process of mathematically modeling a system based on measurement data that may be limited or uncertain. Master's Degree in Electrical and Computer Engineering with a Concentration in Communications, Control, and Signal Processing with Graduate Certificate in Engineering Leadership. Introduces electromagnetics and high-frequency applications. 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. 0 Hours. Offers independent work under the direction of members of the department on a chosen topic. 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. Topics include signals, systems, and transforms in two dimensions; design and analysis of FIR and IIR filters; DFT and FFT algorithms; generation of digital image from the source; image digitizers and display devices; image transforms; techniques for point-wise, local, and global image enhancement; statistical image restoration techniques including recursive estimation; image coding techniques in spatial and transform domain including coding for facsimile transmission; and feature analysis. Course Lists Depth Courses. Fundamentals of Linear Systems. This thread is archived. Final semester, need to take one more EECE tech elective. Accompanies EECE 2530. Advanced Power Electronics. At the national American Institute of Chemical Engineers (AIChE) virtual conference in November, the Northeastern student chapter took part in the ChemE Car competition by developing a car that runs on a chemical reaction that must carry a certain weight, and travel a specific distance. After completing this course, the successful student should be able to design, characterize, choose, or specify power-management circuits or ICs for a system. 4 Hours. 4 Hours. Requires concurrent registration in EECE 5581 for undergraduate students. Electronic Materials. Offers students an opportunity to program an embedded processor and interface to digital logic designs implemented on programmable hardware, as well as an opportunity to develop a series of designs in class, culminating in a project of the student's choosing. EECE 7214. Covers a wide range of disciplines, from electronics to mechanics, material properties, microfabrication technology, electromagnetics, and optics. 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. Two Dimensional Signal and Image Processing. EECE 7224. EECE 9991. Addresses some advanced design techniques, such as linearity improvement methods, frequency compensation, and digitally assisted performance tuning. 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. Emergency Information • 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. Introduces emerging energy-harvesting techniques for IC design. Topics vary and include computer simulation, digital computer control, and use of CAD packages such as MATLAB for analysis and design of control systems. Presents solutions to problems in electromagnetics using a wide variety of numerical and computational methods. 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