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Educational Interfaces between Mathematics and Industry

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Cover of 'Educational Interfaces between Mathematics and Industry'

Table of Contents

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    Book Overview
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    Chapter 1 Discussion Document
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    Chapter 2 Report on the Study
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    Chapter 3 Getting Math off the Ground: Applied Mathematics at Boeing
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    Chapter 4 Mathematics in the Workplace: Issues and Challenges
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    Chapter 5 Mathematical Modeling Education is the Most Important Educational Interface Between Mathematics and Industry
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    Chapter 6 Models for Industrial Problems: How to Find and How to Use them—in Industry and in Education
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    Chapter 7 Interfacing Education and Research with Mathematics for Industry: The Endeavor in Japan
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    Chapter 8 Education/Training with Industry Participation
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    Chapter 9 How it is Possible to Make Real-World Mathematics More Visible: Some Results from Two Italian Projects
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    Chapter 10 The Project “Ways to More MINT-Graduates” of the Bavarian Business Association (vbw) with Focus on the M (=Mathematics) at the University of Augsburg, Germany
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    Chapter 11 Mathematics in a Safety–Critical Work Context: The Case of Numeracy for Nursing
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    Chapter 12 Linking Professional Experiences with Academic Knowledge: The Construction of Statistical Concepts by Sale Manager Apprentices
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    Chapter 13 Learning Conversation in Mathematics Practice School–Industry Partnerships as Arena for Teacher Education
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    Chapter 14 The Threefold Dilemma of Missing Coherence: Bridging the Artificial Reef Between the Mainland and Some Isolated Islands
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    Chapter 15 The Project “Mathe-Meister”: A Mathematical Self Assessment Centre with Diagnostic Feedback for Vocational Trainees
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    Chapter 16 University and Academic Technical/Vocational Education
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    Chapter 17 Mathematics for Engineering and Engineering for Mathematics
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    Chapter 18 Laboratory for Computational Mathematics: An Interface Between Academia and Industry
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    Chapter 19 Improving the Industrial/Mathematics Interface
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    Chapter 20 Two Masters on ‘Mathematics for Industry’ at the Universities of Paris and of Pau
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    Chapter 21 Mathematics in Industry and Teachers’ Training
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    Chapter 22 Interfaces Between Mathematics and Industry and the Use of Technology in Mathematics Education in India
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    Chapter 23 Modeling Modeling: Developing Habits of Mathematical Minds
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    Chapter 24 The Evolution of Graduate Applied Math Courses in the Institute of Mathematics, University of the Philippines
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    Chapter 25 The Vertical Integration of Industrial Mathematics, the WPI Experience
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    Chapter 26 Educational Interfaces Between Mathematics and Industry at School Level
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    Chapter 27 Mathematical Applications, Modelling and Technology as Windows into Industry Based Mathematical Practice
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    Chapter 28 Mathematics Education and the Information Society
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    Chapter 29 Authentic Complex Modelling Problems in Mathematics Education
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    Chapter 30 Embedding Authentic Real World Tasks into Secondary Mathematics Curricula
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    Chapter 31 Drawing on Understanding of Workplace Practice to Inform Design of General Mathematics Curricula
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    Chapter 32 Communication and Collaboration
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    Chapter 33 Engineering, Mathematics Communication, and Education: Reflections on a Personal Experience
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    Chapter 34 A View on Mathematical Discourse in Research and Development
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    Chapter 35 Using Popular Science in a Mathematical Modeling Course
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    Chapter 36 Technology Issues
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    Chapter 37 Tackling the Challenges of Computational Mathematics Education of Engineers
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    Chapter 38 Integrating Computational Modelling in Science, Technology, Engineering and Mathematics Education
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    Chapter 39 Incorporating the Ideas and Methods of Mathematical Modeling into Calculus Teaching
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    Chapter 40 The Mathematics–Industry Interface
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    Chapter 41 Inappropriate Use of Spreadsheets in the Finance Industry
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    Chapter 42 MITACS Accelerate: A Case Study of a Successful Industrial Research Internship Program
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    Chapter 43 A Meta-Analysis by Mathematics Teachers of the GIFT Program Using Success Case Methodology
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    Chapter 44 Cultivating an Interface Through Collaborative Research Between Engineers in Nippon Steel & Sumitomo Metal and Mathematicians in University
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    Chapter 45 An Introduction to CUMCM: China/Contemporary Undergraduate Mathematical Contest in Modeling
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    Chapter 46 Conclusion on Educational Interfaces Between Mathematics and Industry
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    Chapter 47 Erratum to: Educational Interfaces between Mathematics and Industry
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Mentioned by

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2 Wikipedia pages

Readers on

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19 Mendeley
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Title
Educational Interfaces between Mathematics and Industry
Published by
Springer International Publishing, January 2013
DOI 10.1007/978-3-319-02270-3
ISBNs
978-3-31-902270-3, 978-3-31-902269-7, 978-3-31-935171-1
Editors

Alain Damlamian, Jose Francisco Rodrigues, Rudolf Sträßer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 32%
Student > Master 4 21%
Student > Doctoral Student 1 5%
Professor 1 5%
Lecturer 1 5%
Other 4 21%
Unknown 2 11%
Readers by discipline Count As %
Social Sciences 11 58%
Psychology 2 11%
Economics, Econometrics and Finance 1 5%
Mathematics 1 5%
Engineering 1 5%
Other 0 0%
Unknown 3 16%