Data Science and Mathematical Modeling Approaches to Studying Collective Motion.

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dc.contributor.advisorKevin Flores, Chair
dc.contributor.advisorRalph Smith, Member
dc.contributor.advisorHien Tran, Member
dc.contributor.advisorJason Haugh, Member
dc.contributor.authorJameson, Carter David
dc.date.accepted2021-04-08
dc.date.accessioned2021-04-29T12:30:31Z
dc.date.available2021-04-29T12:30:31Z
dc.date.defense2021-03-30
dc.date.issued2021-03-30
dc.date.released2021-04-29
dc.date.reviewed2021-04-06
dc.date.submitted2021-04-02
dc.degree.disciplineApplied Mathematics
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Mathematics.
dc.formatPh.D. North Carolina State University, 2021.
dc.identifier.otherdeg25097
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/38770
dc.titleData Science and Mathematical Modeling Approaches to Studying Collective Motion.
dcterms.extent1 online resource (xiii, 158 pages) : illustrations (some color)

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