MARC Record from marc_columbia

LEADER: 03351cam a2200409Ii 4500
001 13618090
005 20190122162811.0
008 180522t20182018dcua b 000 0 eng d
020 $a0309475597
020 $a9780309475594
035 $a(OCoLC)on1036273927
035 $a(OCoLC)1036273927
035 $a(NNC)13618090
040 $aYDX$beng$erda$cYDX$dTKN$dOCLCO$dSOI$dNRC
050 4 $aQ181$b.D28 2018
245 00 $aData science for undergraduates :$bopportunities and options /$cCommittee on Envisioning the Data Science Discipline: the Undergraduate Perspective ; Computer Science and Telecommunications Board, Board on Mathematical Sciences and Analytics ; Committee on Applied and Theoretical Statistics, Division on Engineering and Physical Sciences ; Board on Science Education, Division of Behavioral and Social Sciences and Education.
264 1 $aWashington, D.C. :$bNational Academies Press,$c[2018]
264 4 $c©2018
300 $axviii, 119 pages :$billustrations ;$c23 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aA consensus study report of the National Academies of Sciences, Engineering, Medicine
504 $aIncludes bibliographical references.
505 0 $aKnowledge for data scientists -- Data science education -- Starting a data science program -- Evolution and evaluation.
520 $aIn May 2017, the committee convened a workshop in which participants discussed educational models to build relevant foundational, translational, and professional skills for data scientists in various roles; the use of high-impact educational practices in the delivery of data science education; and strategies for broad participation in data science education that rely on formal modes of evaluation and assessment. Participants focused on the ways in which students, institutions, and programs could change in the coming decade, as well as how these changes will affect future plans for data science education.
650 0 $aScience$xStudy and teaching.
710 2 $aNational Academies of Sciences, Engineering, and Medicine (U.S.).$bCommittee on Envisioning the Data Science Discipline: the Undergraduate Perspective,$eissuing body.
710 2 $aNational Academies of Sciences, Engineering, and Medicine (U.S.).$bComputer Science and Telecommunications Board,$eissuing body.
710 2 $aNational Academies of Sciences, Engineering, and Medicine (U.S.).$bBoard on Mathematical Sciences and Analytics,$eissuing body.
710 2 $aNational Academies of Sciences, Engineering, and Medicine (U.S.).$bCommittee on Applied and Theoretical Statistics,$eissuing body.
710 2 $aNational Academies of Sciences, Engineering, and Medicine (U.S.).$bDivision on Engineering and Physical Sciences,$eissuing body.
710 2 $aNational Academies of Sciences, Engineering, and Medicine (U.S.).$bBoard on Science Education,$eissuing body.
710 2 $aNational Academies of Sciences, Engineering, and Medicine (U.S.).$bDivision of Behavioral and Social Sciences and Education,$eissuing body.
776 08 $iOnline version:$tData science for undergraduates : opportunities and options.$dWashington, D.C. :$bThe National Academies Press,$c2018,$w(OCoLC)1057447593
830 0 $aConsensus study report.
852 00 $boff,sci$hQ181$i.D28 2018g