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https://hdl.handle.net/10419/25077
Kompletter Metadatensatz
DublinCore-Feld | Wert | Sprache |
---|---|---|
dc.contributor.author | Härdle, Wolfgang Karl | en |
dc.contributor.author | Klinke, Sigbert | en |
dc.contributor.author | Ziegenhagen, Uwe | en |
dc.date.accessioned | 2006-05-29 | - |
dc.date.accessioned | 2009-07-23T14:43:20Z | - |
dc.date.available | 2009-07-23T14:43:20Z | - |
dc.date.issued | 2005 | - |
dc.identifier.uri | http://hdl.handle.net/10419/25077 | - |
dc.description.abstract | Without doubt modern education in statistics must involve practical, computer-based data analysis but the question arises whether and how computational elements should be integrated into the canon of methodological education. Should the student see and study high-level programming code right at the beginning of his or her studies? Which technology can be presented during class and which computational elements can re-occur (at increasing level of complexity) during the different courses? In this paper we address these questions and discuss where e-techniques have their limits in statistics education. | en |
dc.language.iso | eng | en |
dc.publisher | |aHumboldt University of Berlin, Collaborative Research Center 649 - Economic Risk |cBerlin | en |
dc.relation.ispartofseries | |aSFB 649 Discussion Paper |x2005,058 | en |
dc.subject.jel | I21 | en |
dc.subject.jel | C19 | en |
dc.subject.ddc | 330 | en |
dc.subject.keyword | electronic books | en |
dc.subject.keyword | hypertext | en |
dc.subject.keyword | e-supported teaching | en |
dc.subject.keyword | statistical software | en |
dc.title | Integrable e-lements for statistics education | - |
dc.type | |aWorking Paper | en |
dc.identifier.ppn | 512454035 | en |
dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
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