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| CSI 873 - Computationl Lrng/Discov |
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Presents modern ideas, theories, and methods for computational learning and discovery, along with relevant applications including medical diagnosis, Earth science data analysis, and neuronal modeling. Includes background elucidation of fundamental concepts in computational learning, addressing discovery of equations, theory of causality, and comparison with biological and cognitive models. Students make presentations on topics of their research interest and work on projects involving state-of-the art systems.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate, Non-Degree Schedule Types: Lecture Computational & Data Sciences Department Course Attributes: Graduate - Advanced |
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