Knowledge spaces offer a rigorous mathematical foundation for various practical systems of knowledge assessment. An example is offered by the ALEKS system (Assessment and LEarning in Knowledge Spaces), a software for the assessment of mathematical knowledge. From a mathematical standpoint, knowledge spaces generalize partially ordered sets. They are investigated both from a combinatorial and a stochastic viewpoint. The results are applied to real and simulated data. The book gives a systematic presentation of research and extends the results to new situations. It is of interest to mathematically oriented readers in education, computer science and combinatorics at research and graduate levels. The text contains numerous examples and exercises and an extensive bibliography.
€112.56
Język Angielski ● Format PDF ● ISBN 9783642586255 ● Wydawca Springer Berlin Heidelberg ● Opublikowany 2012 ● Do pobrania 3 czasy ● Waluta EUR ● ID 6327940 ● Ochrona przed kopiowaniem Adobe DRM
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Francis T.S. (Pennsylvania State University, University Park, USA) Yu: The Nature of Temporal (t > 0) Science
The author has shown that practically all our laws, principles, and theories are not physically realizable, since they were derived from an empty space paradigm. From which this book is started with …
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