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http://dx.doi.org/10.14477/jhm.2017.30.6.327

Mathematics and its Education for Near Future  

Kim, Young Wook (Dept. of Math., Korea Univ.)
Publication Information
Journal for History of Mathematics / v.30, no.6, 2017 , pp. 327-339 More about this Journal
Abstract
Recently industry goes through enormous revolution. Related to this, major changes in applied mathematics are occurring while coping with the new trends like machine learning and data analysis. The last two decades have shown practical applicability of the long-developed mathematical theories, especially some advanced mathematics which had not been introduced to applied mathematics. In this concern some countries like the U.S. or Australia have studied the changing environments related to mathematics and its applications and deduce strategies for mathematics research and education. In this paper we review some of their studies and discuss possible relations with the history of mathematics.
Keywords
education of mathematics; mathematics in the future; artificial intelligence; industrial mathematics; history of mathematics; counting; visualization;
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  • Reference
1 Australian Academy of Science, The mathematical Sciences in Australia - A vision for 2025 (2016).
2 Chinese Academy of Sciences, Y. Lu (Ed.), Science & Technology in China: A Roadmap to 2050, Science Press (2010), Beijing.
3 KOFAC (Y. W. Kim (Ed.)), A Study on the Contents of Mathematics Learning Suitable for Future Students, KOFAC and KMS (April 2017).
4 National Research Council, The Mathematical Sciences in 2025, The National Academic Press (2013).
5 National Research Council, Fueling Innovation and Discovery: The Mathematical Sciences in the 21st Century, The National Academic Press (2015).
6 Society for Industrial and Applied Mathematics, 1996, Mathematics in Industry. Available at http://www.siam.org/reports/mii/1996/listtables.php#lt4.
7 The fourth international conference on history and pedagogy of modern mathematics (Aug. 20-26, 2017), Chengdu, China.
8 C-h. Chen et al., Handbook of Data Visualization, Springer, 2008.
9 COMAP, Precalculus: Modeling Our World (p. 19), W. H. Freeman and Co., New York, 2002.
10 Nicholas J. Higham (Ed.) (2015). The Princeton Companion to Applied Mathematics, Princeton University Press, 2015.
11 Antony Unwin, Martin Theus, Heike Hofmann (2006). Graphics of Large Datasets - Visualizing a Million, Springer, 2006.