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Course Criteria
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4.00 Credits
Introduction to Transmission Electron Microscopy (TEM) applied to metals, ceramics and semiconductors. TEM optics, electron diffraction, image formation modes and mechanisms, specimen preparation and practical TEM operation, and analyical techniques for chemical analysis.
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3.00 Credits
Applications of modern algebra to problems of complicated linear system design. Quotients and state variable design; freedom and system-matrix design; tensors and multilinear design. (Alternate fall)
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3.00 Credits
A study of Shannon's measure of information to include: mutual information, entropy, and channel capacity; the noiseless source coding theorem; the noisy channel coding theorem; rate distortion theory and data compression; channel coding and random coding bounds. (Alternate fall)
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3.00 Credits
Error control coding techniques for digital transmission and storage systems. Linear block codes, cyclic codes, BCH codes, and Reed-Solomon codes. Syndrome decoding. Convolutional codes, maximum likelihood decoding, maximum a posteriori probability decoding, and sequential decoding. Block and trellis coded modulation. Low density parity check codes and turbo codes. Applications to computer memories, data networks, space and satellite transmission, data modems.
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3.00 Credits
Analysis and design of discrete-time and sampled-data control systems. State space descriptions and transfer function descriptions using the z-transform. Control design using classical (root-locus, Bode, Nyquist), state space, and polynomial techniques. (Alternate spring)
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3.00 Credits
The class will provide graduate students with a solid understanding of the basic underlying physics of semiconductors that lead to practical applications. Starting from electronic bandstructure, the course will cover topics such as electron-phonon interactions, charge scatering and transport, and optical properties of semiconductors. The effects of quantum confinement in modern nanoscale electronic and optical devices will be covered in detail. The course is geared to be a bridge between physics and engineering; much of the physical concepts covered will be shown to be the basis of practical semiconductor devices currently in commerical production. The students will be required to choose a topic of research early in the class and make presentations and write term papers. The students will be evaluated thrgouh their assisgnment solutions, reprots, and presentations.
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3.00 Credits
This course treats the optical characterization techniques that are employed to inestigate the physical properties of modern semiconducting materials. A brief overview will first be given of the basic science and growth of these maerials, and the theory for their optical characterization. A detailed description will then be provided of measurement techniques such as reflectance and modulaiton specroscopy, photoluminescense, time-resolved spectroscopy, infrared absorption, Raman and Brillouin scattering. These fundamentals will be illustrated by examples in current semiconductor research and technology. Optical processes in semiconductors like inter and intra-band absorption, imurity effects, electro-optical and polarization effects, excitons and theiry dynamics will be addressed. Emphasis will be gien to the use of these techniques to invetigate low dimensional nanostructures such as quantum wells, wires, and dots.
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3.00 Credits
This course provides and introduction to the basic measures used to charactarize information and complexity. Topics include: NP completeness, Kolnogorov Complexity, and Entropy. All of these concepts are then used to study cryptographic systems.
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3.00 Credits
This course will address the physical layer of wireless communication channels. Topics will include: modeling of the wireless channel (e.g. propagation loss, fading), interference models and cell planning, multiple access, modulation and equalization techniques, well-suited to wireless communications. Standards for cellular systems and wireless LANs will be used to motivate and illustrate.
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3.00 Credits
History of the Optimal Control Problem. Ideas of Jacobi, of Lagrange, of Hamilton, and of Pontryagin. Necessary conditions for solutions; sufficient conditions for solutions. Solution settings in terms of partial differential equations and in terms of two-point boundary value problems. Extensions to the case of competing control players. Introduction to the theory of dynamic games. Two-player, zero-sum games. Stochastic games. Game value as a random variable. Cumulants as a random variable description. Cumulant games.
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