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| COMS 6100 - Fundamentals of Computational Science |
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Prerequisite: Admission to the Computational and Data Science Ph.D. program or permission of instructor. Foundational overview of the mathematical and scientific underpinnings of computational science. Introduces the principles of finding computer solutions to contemporary science challenges. Offers preparation for core and elective courses in the Ph.D. program in Computational Science by reviewing essential mathematical methods and basic science principles drawn from biology, chemistry, and physics. Special topics include techniques of high performance computing and applications, parallel systems, and theory of computation, case studies in computational chemistry, physics, and mathematical biology.
3.000 Credit hours Levels: Graduate Schedule Types: Lecture Mathematical Sciences Department Course Attributes: College of Basic & Applied |
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