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Course Criteria
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3.00 Credits
Algorithms for large scale system solution, non-linear systems, ordinary differential equations, eigenvalue problems, modal information, and optimization. Applications to power systems analysis. Prerequisite: Elec Eng 207 or similar course.
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3.00 Credits
This course covers an entire range of advanced topics related to the analysis, design, control, simulation, and optimization of electric, hybrid, and plug-in hybrid power-trains including the automotive applications of adjustable speed motor drives, energy storage systems, and advanced power converters. Prerequisite: Elec Eng 305 or Elec Eng 353.
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3.00 Credits
Properties of semiconductors, junctions and transistors; high frequency and high-current effects; recombination processes; field-effect devices, semiconductor devices and microcircuits. Prerequisite: Graduate status in Elec Eng.
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3.00 Credits
Theory and practice of multidisciplinary integrated microsystem technologies. The topics include (1) micromachining technology, (2) review of mechanical, optical, microfluidic and (bio) chemical microsensors and microactuators, (3) hands-on lab session for design, fabrication, and characterization of microsystems. Prerequisite: Graduate standing.
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3.00 Credits
Propagation, control, and modulation of laser radiation. Topics include optical polarization, interference, layered and anisotropic media, electro-optic devices, acousto-optic devices, and nonlinear optics. Prerequisite: Elec Eng 271 or Physics 321.
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3.00 Credits
Advanced topics of current interest in optics and devices. Selected topics include semiconductor materials, electronic devices, wave-based sensing, fiber optic systems, optoelectronics, and photonic engineering. Prerequisite: Graduate Standing.
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3.00 Credits
Review of linear algebra, state variable formulations, solutions of state equations; controllability and observability; multivariable systems, matrix-fraction decompositions; design of state and output feedback controllers and observers; introduction to calculus of variations; linear quadratic regulators. Prerequisite: Elec Eng 231.
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3.00 Credits
Review of linear quadratic regulators (LQR), LQR extensions; constrained optimization (Pontragin's minimum principle); review of probability theory and random processes; optimal prediction and filters; frequency domain properties of LQR and Kalman filters; linear quadratic Gaussian (LQG) control; model uncertainties, frequency shaping, LQG/LTR design methodology. Prerequisite: Elec Eng 431.
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3.00 Credits
Topics of current interest in control theory literature. Offered as interest and demand warrant. Prerequisite: Consent of instructor.
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3.00 Credits
Numerical solution methods, describing function analysis, direct and indirect methods of Liapunov stability, applications to the Lure problem - Popov circle criterion. Applications to system design and feedback linearizations. Prerequisite: Elec Eng 431.
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