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Course Criteria
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3.00 Credits
Foundational treatment of probability, random variables and stochastic processes used in the analysis of random signals and noise in many areas of engineering. Topics include the modeling and properties of probability, scalar and vector random variables, the central limit theorem, stochastic processes, stationarity, ergodicity, the Karhunen-Loeve expansion, power spectral densities, response of linear systems to random signals, and Markov chains.
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3.00 Credits
Unified introduction to the theory, implementation, and applications of statistical and adaptive signal processing methods. Key topics focus on spectral estimation, signal modeling, adaptive filtering, and signal detection.
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3.00 Credits
Foundational knowledge of computational intelligence and its application to engineering problems. Discriminant analysis, artificial neural networks, perception training and inversion, fuzzy logic, fuzzy inference engines, evolutionary computation, particle swarms, intelligent agents, and swarm intelligence.
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3.00 Credits
Analysis of linear systems, including system modeling, state-variable representations, discrete-time systems, linear algebra, linear dynamic equations, stability, observability, controllability, state-feedback and state-estimators, realization, and pole placement.
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3.00 Credits
Topics include: information models, entropy measures, data compression, coding theory, error correcting codes, the Kraft inequality, optimal codes, Shannon coding theorem, Burg’s theorem, evolutionary informatics, Kolmogorov complexity, algorithmic information theory, and Chaitin's number.
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3.00 Credits
See EGR 5396 for course information.
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1.00 - 6.00 Credits
Students completing a master's program with a thesis must complete six hours of ELC 5V99.
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1.00 - 3.00 Credits
Required of all doctoral candidates.In no case will fewer than 12 semester hours be accepted for a dissertation.Students may not enroll for dissertation hours until they have been officially accepted into candidacy for the doctoral degree.After initial enrollment, students must register for at least one semester hour of dissertation every semester thereafter (summer semester excluded).
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3.00 Credits
Intensive instruction in English writing skills, grammar, usage, and reading comprehension, with individualized attention to problem areas. This course is a prerequisite for ENG 1302 for all students whose diagnostic test indicates the inability to do satisfactory work in ENG 1302. Credit for this course does not apply toward any degree program.
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3.00 Credits
Review and instruction in English grammar, usage, and vocabulary development, with attention to composition and reading skills, for non-native speakers of English. This course does not satisfy the English requirements for any degree program. Placement in this course is determined by language and writing tests given when the student enrolls in the University.
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