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George Mason University

2016-2017 University Catalog

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2016-2017 University Catalog

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CSI 873 - Computational Learning and Discovery

Credits: 3
Not Repeatable for Credit
Offered by Computational and Data Sciences

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.

Prerequisite(s): CS 580 or equivalent, or permission of instructor.
Schedule Type: LEC
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0

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CSI 873 - Computational Learning and Discovery