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Learning Spaces: Interdisciplinary Applied Mathematics by Jean-Claude Falmagne (

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eBay-objectnummer:364697471355
Laatst bijgewerkt op 19 mei 2024 08:37:08 CESTAlle herzieningen bekijkenAlle herzieningen bekijken

Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
ISBN-13
9783642010385
Book Title
Learning Spaces
ISBN
9783642010385
Publication Year
2010
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Learning Spaces : Interdisciplinary Applied Mathematics
Author
Jean-Claude Falmagne, Jean-Paul Doignon
Item Length
9.3in
Publisher
Springer Berlin / Heidelberg
Item Width
6.1in
Item Weight
31.6 Oz
Number of Pages
Xv, 417 Pages

Over dit product

Product Information

Learning spaces offer a rigorous mathematical foundation for practical systems of educational technology. Describing the underlying theory and applications involved with ancillary assessment procedures, Learning Spaces provides an overview for mathematically oriented readers in education, computer science, and additional disciplines.

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3642010385
ISBN-13
9783642010385
eBay Product ID (ePID)
109228192

Product Key Features

Author
Jean-Claude Falmagne, Jean-Paul Doignon
Publication Name
Learning Spaces : Interdisciplinary Applied Mathematics
Format
Hardcover
Language
English
Publication Year
2010
Type
Textbook
Number of Pages
Xv, 417 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
31.6 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
T57-57.97
Reviews
From the reviews:The book deals with the construction of knowledge spaces and learning spaces … . Thus, the creative mathematician will find material capable of entertaining him or her for some time. The practitioner may be interested in applications. … there is no doubt that reading and working with this book will be rewarding for the mathematician and useful for scientists from very different areas. In many aspects it has the potential to serve as a guideline to a new and theoretically better founded form of psychometry. (Reinhard Suck, SIAM Review, Vol. 54 (2), 2012)This book is an enlarged second edition of the 1999 'Knowledge Spaces' by the same authors. … The authors cover both deterministic and probabilistic models, justify their findings and give good examples and applications, such as pattern recognition and medical diagnosis. … We recommend it to doctoral and postdoctoral studies. (George Stoica, Zentralblatt MATH, Vol. 1205, 2011), From the reviews: "The book deals with the construction of knowledge spaces and learning spaces ... . Thus, the creative mathematician will find material capable of entertaining him or her for some time. The practitioner may be interested in applications. ... there is no doubt that reading and working with this book will be rewarding for the mathematician and useful for scientists from very different areas. In many aspects it has the potential to serve as a guideline to a new and theoretically better founded form of psychometry." (Reinhard Suck, SIAM Review, Vol. 54 (2), 2012) "This book is an enlarged second edition of the 1999 'Knowledge Spaces' by the same authors. ... The authors cover both deterministic and probabilistic models, justify their findings and give good examples and applications, such as pattern recognition and medical diagnosis. ... We recommend it to doctoral and postdoctoral studies." (George Stoica, Zentralblatt MATH, Vol. 1205, 2011), From the reviews:The book deals with the construction of knowledge spaces and learning spaces … . Thus, the creative mathematician will find material capable of entertaining him or her for some time. The practitioner may be interested in applications. … there is no doubt that reading and working with this book will be rewarding for the mathematician and useful for scientists from very different areas. In many aspects it has the potential to serve as a guideline to a new and theoretically better founded form of psychometry. (Reinhard Suck, SIAM Review, Vol. 54 (2), 2012)
Table of Content
Overview and Mathematical Glossary.- Knowledge Structures and Learning Spaces.- Knowledge Spaces.- Well-Graded Families.- Surmise Systems.- Skill Maps, Labels and Filters.- Entailments and the Maximal Mesh.- Galois Connections.- Descriptive and Assessment Languages.- Greedoids, Learning Spaces, and Antimatroids.- Learning Spaces and Media.- Probabilistic Knowledge Structures.- Stochastic Learning Paths.- A Continuous Markov Procedure.- A Markov Chain Procedure.- Building a Knowledge Structure.- Building a Learning Space.- Applications.- Open Problems
Copyright Date
2011
Topic
Computers & Technology, Intelligence (Ai) & Semantics, Interactive & Multimedia, Applied, Testing & Measurement
Dewey Decimal
371.33463
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Genre
Computers, Education, Mathematics

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