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Curriculum Guidelines for Undergraduate Programs in Data ...

ST04CH02-De-Veaux ARI 16 December 2016 16:19 REVIEWSINADVANCEC urriculum Guidelines forUndergraduate Programs inData Science Richard D. De Veaux,1 Mahesh Agarwal,2 Maia Averett,3 Benjamin S. Baumer,4 Andrew Bray,5 Thomas C. Bressoud,6 Lance Bryant,7 Lei Z. Cheng,8 Amanda Francis,9 Robert Gould,10 Albert Y. Kim,11 Matt Kretchmar,12 Qin Lu,13 Ann Moskol,14 Deborah Nolan,15 Roberto Pelayo,16 Sean Raleigh,17 Ricky J. Sethi,18 Mutiara Sondjaja,19 Neelesh Tiruviluamala,20 Paul X. Uhlig,21 Talitha M. Washington,22 Curtis L. Wesley,23 David White,24and Ping Ye25 Annu.

in statistics, computer science, and mathematics. The practical real-world meanings come from interpreting the data in the context of the domain in which the data arose. For an undergraduate program, we envision a case-based focus and hands-on approach, as is common in fields such as engineering and computer science. 2.2.

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