Sports & Mathematics (ePub)
Leisure Plus Learning
(Sprache: Englisch)
Sports and Mathematics
The universal popularity of sports has inspired a goldmine of interesting examples for mathematicians, sport fans, and for the teaching and learning. Sports provide an inexhaustible source of fascinating and challenging problems....
The universal popularity of sports has inspired a goldmine of interesting examples for mathematicians, sport fans, and for the teaching and learning. Sports provide an inexhaustible source of fascinating and challenging problems....
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Sports and Mathematics
The universal popularity of sports has inspired a goldmine of interesting examples for mathematicians, sport fans, and for the teaching and learning. Sports provide an inexhaustible source of fascinating and challenging problems. Today most sports can be studied from a mathematical perspective to valid quantitative results. Mathematical methods are applied to estimate an athlete's chances of success, identify the best training conditions, and to measure their effectiveness. Applied probability and statistics has been instrumental in analysis of vast amount of sport data available. Probabilistic Monte Carlo method are used for simulation model. In fact, it is generally recognized that the use of sports marks an exciting new direction in teaching and learning mathematics and related subjects. With the present state of education, ideas that connect mathematics to popular activities like sports is much needed.
The goal of this book is to find a way to delight sport lovers about mathematics and mathematicians about sports to help them to see their connections. Its hope is to bring a variety of applications within the reach of sport fans with some mathematics background or interests.
The universal popularity of sports has inspired a goldmine of interesting examples for mathematicians, sport fans, and for the teaching and learning. Sports provide an inexhaustible source of fascinating and challenging problems. Today most sports can be studied from a mathematical perspective to valid quantitative results. Mathematical methods are applied to estimate an athlete's chances of success, identify the best training conditions, and to measure their effectiveness. Applied probability and statistics has been instrumental in analysis of vast amount of sport data available. Probabilistic Monte Carlo method are used for simulation model. In fact, it is generally recognized that the use of sports marks an exciting new direction in teaching and learning mathematics and related subjects. With the present state of education, ideas that connect mathematics to popular activities like sports is much needed.
The goal of this book is to find a way to delight sport lovers about mathematics and mathematicians about sports to help them to see their connections. Its hope is to bring a variety of applications within the reach of sport fans with some mathematics background or interests.
Autoren-Porträt von Reza Noubary
In search of the meaning of life, the author dived in to the self-improvement world, psychology, human desires and weaknesses, sports, writing, and poetry. His goal was to understand a few of his very many feeling including his pains, depression, fears, and anxiety. Music, science especially mathematical sciences, sports, and nature have become his guide. This has led him to write several books including two on earthquakes, six on mathematical sciences, two on poetry, and one on philosophy of life. He has travelled to many countries and has made long-term visits to several universities including Harvard, Princeton, Penn, and UCLA. Today he lives with his wife in a small beautiful college town in Pennsylvania. He has two sons, and a granddaughter. He loves people, music, nature, mathematics, and plays Racquetball, Tennis, and occasionally Soccer.
Bibliographische Angaben
- Autor: Reza Noubary
- 2020, 230 Seiten, Englisch
- Verlag: Xlibris US
- ISBN-10: 1664143505
- ISBN-13: 9781664143500
- Erscheinungsdatum: 07.12.2020
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- Dateiformat: ePub
- Größe: 2.50 MB
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Sprache:
Englisch
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