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Course Criteria
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3.00 Credits
Microprocessor architecture, memory, I/O ports, interrupts, DMA and A/D-D/A converters are discussed along with interfacing and programming techniques. Prerequisites: EENG 310, EENG 130 or EENG 260.
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3.00 Credits
This course covers basic probability concepts, discrete and continuous random variables, distribution and density functions, and stochastic processes. Principles of statistical inference with applications in basic engineering design are discussed. Prerequisite: EENG 341
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3.00 Credits
Topics include: wave propagation in unbounded media; Transmission lines, closed and open wavequides, discontinuities, Smith chart, optical waveguides and resonators; antennas and antenna arrays. Prerequisite: EENG 330.
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3.00 Credits
Review of Fourier transform and series, correlation and spectral densities of deterministic signals, baseband and bandpass linear systems, AM and FM modulation/demodulation schemes, elements of PCM, introduction to information theory and coding, and introduction to communication networks. Prerequisite: EENG 341, Corequisite: EENG 382.
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1.00 Credits
Laboratory work to complement lecture courses. Prerequisite: EENG 360, 370. Corequisite: EENG 401.
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3.00 Credits
Design of linear feedback systems using the Bode diagram and root locus method. System compensation using cascade and minor-loop feedback techniques. Design of non-linear feedback systems using the describing function, phase-plane method, Liapunov's method, and Popov's method.Introduction to optimal control theory using dynamic programming and the maximum principle. (Offered regularly, but not every semester.) Prerequisite: EENG 320.
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3.00 Credits
Linear discrete dynamic system analysis using the z-transform. Properties of the z-transform. Discrete equivalents to continuous transfer functions: the digital filter. Analysis of sampling, data extrapolations, and block diagram reduction techniques. Stability analysis of digital control systems using frequency response methods (the w-transform), the root locus method and Ragazzini's method. Design of digital control system using state-space methods. The development of theoretical topics is coupled with application of the theory to practical control system problems. (Offered regularly, but not every semester.) Prerequisite: EENG 320. Corequisite: EENG 341.
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3.00 Credits
This course provides step-by-step procedures for the design and implementation of digital filters. Discrete Fourier transforms and Z-transforms, recursive digital filter design satisfying prescribed specifications, non-recursive digital filters, quantization and practical implementations. (Offered regularly, but not every semester.) Prerequisite: EENG 341.
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3.00 Credits
The theory and design of a medium scale integrated (MSI) circuits are discussed. Criteria for a single stage BJT and FET amplifier design, multi-stage cascode hybrid design, active current source and active current load design, output stage design, and DC level shift design are covered. Multi-stage operational amplifier design with differential and Darlington stages, frequency response of an operational amplifier, and the negative feedback design are also presented. Prerequisite: EENG 310
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3.00 Credits
Robot classification, robot subsystems; electrical, computer, mechanical drives and links. Programming methods, work cells, and safety procedures. (Offered regularly, but not every semester.) Prerequisite: EENG 320. Corequisite: EENG 370.
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