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ELECTRICAL AND COMPUTER ENGINEERING

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ECE 456: RF Circuit Integration Unifies concepts from circuits, electronics, communications and electromagnetic field theory. Applies concepts to subsystem radio frequency design: filtered amplifiers, oscillators, mixers, filters, power amps, transmission lines, and digital processing. Design of systems using discrete elements along with integrated elements is considered. RF on a chip technology is also considered in the lab for high technology communication system application. Prerequisites: ECE 333, ECE 335 3 credits ECE 465: Power Electronics This course introduces the basic concepts of various topologies (AC-DC, DC-DC, DC-AC, ACAC, etc) of power converters. The fundamental principles of switching components are discussed prior to the introduction of the design and application of converters. Emphasis is on the design issues associated with converters and the computer techniques used for the performance evaluation and analysis. Experiments are part of the course. Prerequisites: ECE 333 3 credits ECE 466: Modeling and Analysis of Electric Drives This course introduces the issues on modeling and analysis of electrical drives. Basic concepts of electromechanical energy conversion will be presented prior to the detailed modeling of the dynamical aspects of both the DC and AC machines. Dynamic behavior of the machines and their computer simulation will be examined. Numerical schemes for simulation, singular perturbation technique, linearization technique, etc. are parts of the analysis tools. In addition, modeling of switching power conversion will be studied as it pertains to drive application. If time permits, some other practical aspects of drives will be examined, too. Prerequisite: ECE 327 3 credits ECE 471: Control of Electrical Machines This course introduces the concept on the control of electric machines (DC and AC). Emphasis is placed on fundamentals, and conventional methods of speed control of electric machines. Control strategies using power semiconductors for DC motor drives, induction motor drives, synchronous motor drives, and brushless dc and ac motors are discussed. Prerequisite: ECE 327 3 credits ECE 472: Digital Signal Processing This course emphasizes the fundamental principles of signals and systems, sampling theorem, discrete-time Fourier transform, power spectrum, z-transform, discrete Fourier transform (DFT) and the fast Fourier transform (FFT) algorithm, digital filter design and implementation. Matlab/Simulink will be used to evaluate implementations of digital signal processing algorithms. Prerequisite: ECE 330 3 credits ECE 474: Artificial Neural Networks This course will present artificial neural network (ANN) architectures and computational algorithms suited for practical engineering applications. Topics will include an overview of artificial neural networks and neural computing, elementary ANN building blocks and models. Concepts of learning and training rules, the back-propagation algorithm as well as examples and discussion of several classes of ANN such as feed-forward networks, multilayer networks, recurrent networks, and self-organizing networks will be presented. Implementations will be evaluated in Matlab/Simulink. Prerequisite: ECE 351 3 credits ECE 475: Advanced Instrumentation and Measurement This course emphasizes the use of National Instruments (NI) tools to perform data acquisition, measurement techniques and instrument control. Data acquisition will include analog and digital I/O, signal conditioning and sensors. Measurement techniques will include timefrequency analysis, data filtering, and distortion measurements. Instrument control will include serial port, GPIB communications and instrument drivers. 3 credits

Profile for Gannon University

Gannon Undergraduate Catalog 2018-2019  

Gannon Undergraduate Catalog 2018-2019