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dc.contributor.authorBranford, Alan J.en
dc.coverage.spatialCzech Republicen
dc.creatorBranford, Alan J.en
dc.date.accessioned2016-03-01T07:07:58Z
dc.date.available2016-03-01T07:07:58Z
dc.date.issued2001
dc.identifier.urihttp://hdl.handle.net/10797/14824
dc.descriptionΠεριέχει το πλήρες κείμενοel
dc.description.abstractThe utility of Statistical Science to a vast range of disciplines, from biological and agricultural sciences,through medical science, education research, and social sciences, is evident by the plethora in a typical university of service subjects variously labelled ‘Data Analysis’, ‘Statistics’, ‘Quantitative Methods’, or ‘Research Methods’. Although there have been considerable advances in computing and graphics technologies, many statistics service subjects have merely grafted these innovations into a traditional curriculum. Statistics Computing Laboratory has been created ab initio, mindful of the requirements of client disciplines, of the background of the students, and of the opportunities provided by modern computing technologies. This paper discusses the curriculum design and pedagogy, and evaluates the Statistics Computing Laboratory paradigm.en
dc.language.isoengen
dc.publisherPedagogical Faculty of University of Ostravaen
dc.relation.ispartofTeaching package 1en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightsOpen Accessen
dc.sourceCBLIS Conference Proceedings 2001 Computer based learning in scienceen
dc.titleStatistics computing laboratoryen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.subject.uncontrolledtermData analysisen
dc.subject.uncontrolledtermStatisticsen
dc.subject.uncontrolledtermQuantitative methodsen
dc.subject.uncontrolledtermResearch methodsen
dc.subject.uncontrolledtermStatistics service teachingen
dc.contributor.conferenceorganizerMasaryk University, Faculty of education, Brnoen
dc.contributor.conferenceorganizerUniversity of Ostrava, Pedagogical Facultyen
dc.contributor.coordinatorConstantinou, Constantinos P.en


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