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Course Criteria
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3.00 Credits
Introductory concepts. Feedback control systems and derivation of transfer function. System response for undamped and damped systems. Testing for system stability, coefficient test, Routh-Hurwitz technique. System performance, system types, steady state error and error coefficients calculation. Design of compensator. System bode plots, crossover frequencies, gain and phase margins. The course will stress use of a variety of famous industrial computeraided control system design software packages. Prerequisite: MA-360.
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3.00 Credits
Discrete-time methods applied to continuous-time processes. Use of Z, fast- Fourier and discrete transforms. Design methods for digital filters. Digital filter software packages introduced. Prerequisites: EN-408 and MA-360. Offered during spring semester only.
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3.00 Credits
Students propose design, create and test a functioning product using engineering standards and realistic constraints. This is a major design experience based on the knowledge and skills acquired in earlier course work. The project includes design reviews as scheduled by the professor, progress reports, and a final project demonstration with oral presentation. Issues such as cost, maintainability, environmental impact, ethical, social, manufacturability and safety must be considered in developing the final product. For EE, TET, EET, CE and CET programs. CE and CET students should see advisor before registering. Prerequisites: EN-408 and senior status.
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3.00 Credits
Continuation of EE-419. Time-varying electric and magnetic fields. Boundary conditions. Maxwell's equations and applications to wave phenomena. Relation of classical circuit theory to Maxwell's equations. Prerequisite: EE-419. Offered during spring semester only.
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3.00 Credits
Fourier analysis. Signal and spectral analysis of AM and FM systems. Noise representations; power spectral density and quadrate decomposition. Signal-to-noise improvement in AM and FM demodulators. Maximum likelihood digital signal detection. Signal space representation of modulated signals. Modulated signal detection and bit-error rate calculations for OOK, BPSK, QPSK, QAM, M-ary PSK and M-ary FSK. Prerequisites: EL-261, MA-360 and MA-345.
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3.00 Credits
Introduction to state diagrams and state equations. Solutions of state equations for simple systems. Root-locus techniques, compensation, optimization of stability and error. Multiparameter root locus. Nyquist criterion and time domain design. System performance indexes: ISE, IAE, ITAE and ITSE. Modern control engineering: state variable methods, controllable and observable/ estimator, observer design and design of optimal control system. Prerequisites: EE-453, EN-408 and MA-330. Offered during spring semester only.
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3.00 Credits
Signal representation using step and impulse functions. Differential equation description of linear systems and classical solutions. Laplace transforms in linear systems. Trigonometric and complex exponential Fourier series. Fourier transforms. Parseval's theorems. State-variable equations and solutions. The sampling theorem and the Nyquist criterion. Using Z-transforms to represent and analyze sampled data systems.
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3.00 Credits
A study of Matlab and various assorted toolboxes that are used by engineers to perform analysis in control, signal processing. This course will be offered for students who do not have a strong mathematical background in the use of mathematical toolboxes. Offered during fall semester.
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3.00 Credits
A study of the various SPICE based software tools used by engineers to design and simulate circuits. Analog, digital and mixed simulation. Component selection and modeling use of libraries and customizing components and models. Students design and calculate theoretical results and compare results to simulations. Students will be required to obtain software for purchase. Prerequisite: normal undergraduate course in circuit modeling. Offered during fall semester.
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3.00 Credits
Review of Laplace and Z-transforms. Synthesis of networks from transfer functions. Complex variable theory applied to Z-transforms. Filter design techniques from "brick wall" specifications. Mixed-radixFFT's. Spectral estimation. Quantization theory. Introduction to recursive estimation. Prerequisite: normal undergraduate course in signal processing.
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