The first half of the course focuses on the compiler front end, based on a lexical analyzer, syntax parser, and intermediate code generator. Human-centered computing is an emerging technology that utilizes the intrinsic physiological or behavioral traits of individuals for machine-based automatic and reliable identification. An ECE education prepares students for any technical career, a career in a related field, or graduate study. Dynamical Systems in Biological Engineering. The Department of Electrical and Computer Engineering's (ECE) graduate program is a dynamic and thriving center of world-recognized research in a wide range of areas. 4 Hours. ); quantum mechanics; and typical nanofabrication and characterization techniques. Topics include random variables and their functions; PDF, PMF, and CDF notions; statistical averages; moments and characteristic functions; multiple random variables; joint and conditional PDF and PMF; multiple functions of random variables; correlation and covariance; mean squared estimation of random variables; Markov, Chebychev, and Chernov inequalities; various notions of convergence of random variable sequences; laws of large numbers; central limit theorem; and large deviation theory. ECE is home to experts in a variety of disciplines spanning the field of electrical and computer engineering. Topics include equivalence, reciprocity, uniqueness, Huygen’s principle, antenna impedance, and diffraction; linear, loop, array, and aperture antennas including horns, reflectors, lenses, and microstrip; transmitting and receiving antennas and transmission formulas; and numerical antenna analysis methods. 4 Hours. 4 Hours. Undergraduate students normally take courses in the 100 – 400 level range, and graduate students normally take courses in the 400 – 500 level range. Special Topics in Power Electronics. Offers analytical and/or experimental work leading to a written report and a final short presentation by the end of the semester. Successful students should be able to understand the design trade-offs in designing, engineering, and operating large-scale parallel computing systems. 4 Hours. Offers students an opportunity to conduct full-time research under faculty supervision. This will be used to identify you in case your account is shared. Considers special functions of mathematical physics using generating functions, Taylor and Laurent expansions, and various integral representations. Covers special topics in electrical and computer engineering. Note: Printed catalogs do not contain course descriptions. Explores differential signal processing, operational amplifiers, operational transconductance amplifiers, and common-mode feedback circuits. Topics include linear operators and their representations; matrices, algebraic equations, equivalence, and similarity transformations; introduction to the state-variable theory of continuous and discrete linear systems; standard canonical representations, the concept of state, and the representation of interconnected systems, linear spaces, the state equations, and their solution; stability; and introduction to the general control problem in terms of controllability and observability. Covers transmission lines, impedance matching, S-parameters, high-frequency circuit analysis, power dividers, resonators, and filters. Provides an introduction to the theoretical analysis and modeling of dynamical systems in biology, ranging from molecular to population applications. Dimitrios Koutsonikolas joins the Electrical and Computer Engineering department in January 2021 as an Associate Professor. EECE 5697. EECE 7370. EECE 5682. The second part covers standardization efforts, including Bluetooth, IEEE 802.15.4 and Zigbee, RFID, 6LowPan, and Internet of Things, among others. Power Systems Analysis 1. 4 Hours. Emphasizes the foundations to prepare students for research in machine learning. EECE 7247. 4 Hours. EECE 7201. Examines the actual sensors and mathematical techniques for robotic sensing and navigation with a focus on sensors such as cameras, sonars, and laser scanners. Covers advanced issues in designing high-performance computing and data storage systems. EECE 7244. 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. Routing, congestion control, H-infinity control, H-infinity control, and object recognition save. Continued dissertation work conducted under the auspices of the class involves programming in both the and. Design based on root-locus and frequency response, and digitally assisted performance tuning of biological bats or... 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