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SUMMARY:Rachel Levy (North Carolina State University)
DTSTART:20240416T160000Z
DTEND:20240416T170000Z
DTSTAMP:20260423T004133Z
UID:ESME/37
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/ESME/37/">Ri
 gor in Data Science</a>\nby Rachel Levy (North Carolina State University) 
 as part of Online Seminar On Undergraduate Mathematics Education\n\n\nAbst
 ract\nIn mathematics\, rigor is both a practice and a value.  However\, t
 he term isn't exclusive to our field.  How in the growing field of data s
 cience can we define rigor?  What are the implications for the classroom?
    In what ways are our definitions of rigor influenced by the disciplin
 e where we practice it?  Can we find analogies between definitions of rig
 or in pure and applied arenas?  In what ways can we expect rigor from dev
 elopers and practitioners of data science\, in the classroom as well as th
 e workplace?\n\n\nFor more information on OLSUME: https://olsume.org/\nZoo
 m link: https://cornell.zoom.us/j/92415199317\, passcode olsume\n
LOCATION:https://researchseminars.org/talk/ESME/37/
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