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Course Criteria
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4.00 Credits
Laser topics: especially design of laser, fiber-optic, and related optical systems. Formation and propagation of modes and beams, matrix methods for the analysis and synthesis of optical systems.
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1.00 Credits
See department for course description.
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4.00 Credits
See department for course description.
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4.00 Credits
Solid-state electronic devices; operation, fabrication and applications; single crystal growth, p-n junction, diodes, bipolar junction transistors, MOS capacitor, FETs. Course provides students with a sound understanding of existing devices and gives the necessary background to understand the problems and challenges of the micro-electronic manufacturing.
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4.00 Credits
Advanced concepts of continuous-time signals, systems, and transforms. Signals: periodicity, orthogonality, basis functions; system: linearity, super-position, time-invariance, causality, stability, and convolution integral; transforms: Fourier series and Fourier transform, Hilbert and Hartley transform, Laplace transform.
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4.00 Credits
8Modeling of IC devices: transistors, capacitors, resistors. Temperature and device parameter variation effects. Building blocks of analog integrated circuits: current sources and mirrors, gain stages, level shifters, and output stages. Design of supply and temperature independent biasing schemes. CAD tools for circuit design and testing.
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4.00 Credits
Students in electrical and computer engineering are introduced to the analysis and design of digital integrated circuits. A design project is an integral part of this course.
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4.00 Credits
Unified introduction to the theory, implementation, and application of statistical signal processing methods. Focus on optimum linear filters, least square filters, the Kalman filter, signal modeling, and parametric spectral estimation. Designed to give a solid foundation in the underlying theory balanced with examples of practical applications and limitations.
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4.00 Credits
State space description of linear systems. Controllability and observability. State feedback used in controller and observer design by pole placement. Optimal control, linear quadratic regulator, linear quadratic estimator (Kalman filter), linear quadratic Gaussian, and linear quadratic Gaussian with loop transfer recovery design procedures.
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4.00 Credits
Students are introduced to "noise" as it appears in communication and control systems, its mathematical and statistical properties and practical filtering methods to minimize its impact on systems. Advanced topics in filter and estimation theory are also introduced.
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