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Course Criteria
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3.00 Credits
Description: Principles of analytical methods for characterization of materials for structure & composition; crystallography, optical microscopy, scanning electron microscopy, transmission electron microscopy, x-ray diffraction, & atomic force microscopy. Hands-on laboratory experiments in scanning electron microscopy, x-ray diffraction, Atomic Force Microscopy. Restricted to Engineering/Science graduate students & seniors with 3.0 GPA or higher. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Fundamentals of solar radiation, heat and fluid transport in active and passive solar collectors, solar ponds, solar cooling, and photovoltaic energy conversion. Analysis and design of active and passive solar systems. Restrictions: Engineering, graduate students or seniors with 3.0 GPA or higher. 3.00credit(s) Prerequisites: ME 3100 and ME 3600
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3.00 Credits
Description: Applied mathematics course tailored to the needs of engineering graduate students. Topics: complex variable theory, linear spaces and linear operators, series solution of differential equations, Sturm-Liouville problem, eigen-function expansion and special functions, matrix theory, non linear differential equations, multi-dimensional Fourier analysis, partial differential equations and variational calculus. Various examples from engineering and physics will be incorporated as appropriate. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Introduction to the system science and the decision science with focus on theoretical foundations and mathematical modeling. Topics: system design models, system architecture, probability theory, linear programming, non-linear programming, Bayesian analysis, Modeling and Simulation, optimization techniques, risk analysis, sensitivity analysis, and regression analysis. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Review of dynamic process modeling, linearization, transfer function and state-space models. Stability and dynamics of open-loop and closed-loop systems. Feedback control system design and analysis in the frequency and time domain. Topics include: Bode, Nyquist, and Root locus design; multivariable control; feedforward control. Prerequisite: Undergraduate background in systems and control. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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3.00 Credits
Description: Introduction to digital control analysis & design techniques applied to discrete-time & sampled continuous-time systems. Sampling, difference equations, the Z-transform & modified Z-transform, discrete transfer function & state-space models, discrete-time regulator & observer design, stability of discrete-time systems, discrete linear quadratic regulator & linear quadratic Gaussian formulation. Prerequisite: EGR 8301 or equivalent with permission of the instructor. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering Prerequisites: EGR 8301
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3.00 Credits
Description: Introduction to optimal & model-based control techniques for linear & nonlinear dynamic systems. Dynamic optimization theory, application of the Hamiltonian, Euler-Lagrange, & Hamilton-Jacobi-Bellman equations, singular optimal control, dynamic programming, optimal state estimation, constrained receding horizon regulator, moving horizon estimation, disturbance modeling, linear & nonlinear model predictive control, analytical model predictive control. Prerequisite: EGR 8301 or equivalent with permission from the instructor. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering Prerequisites: EGR 8301
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3.00 Credits
Description: Nonlinear dynamical systems & control theory. Lyapunov stability theory, absolute stability, dissipativity, partial stability, feedback linearization, Lp stability, Hamilton- Jacobi-Bellman theory, nonlinear H-infinity, control Lyapunov functions, sliding mode control, & adaptive control. Prerequisite: EGR 8301 or equivalent with permission from the instructor. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering Prerequisites:
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3.00 Credits
Description: Introduction to system identification techniques for linear systems. Topics include: non-parametric time- and frequency-domain methods, parametric model structures, noise models, parametrc estimation methods, recursive estimation, bias and data pre-filtering, validation methods. 3.00credit(s)
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3.00 Credits
Description: Introduction to nonlinear dynamic analysis using analytical, graphical & numerical techniques. Linear system theory, the nonlinear pendulum, stability concepts, bifurcation theory, self-excited oscillations, overview of asymptotic methods, Floquet theory, Poincare maps, & chaos. 3.00credit(s) Restrictions: Must be enrolled in one of the following Levels: Graduate Engineering
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