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How to Be a Math Genius
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How to Be a Math Genius Hardcover - 2012

by Goldsmith, Mike/ Surla, Branka

  • Used

In this clever guide, young readers previously daunted by algebra, logic, algorithms, and all things math will discover they are better at it than they thought.

How to be a Math Genius explores the math brain and demonstrates to readers that they use math skills all the time — they just don't know it yet. Packed with math activities and puzzles, compelling stories of math geniuses, math facts and stats, and more, How to be a Math Genius makes the dreaded subject of math both engaging and relevant.

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Description

Dk Pub. Used - Very Good. How to Be a Math Genius
Used - Very Good
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Details

  • Title How to Be a Math Genius
  • Author Goldsmith, Mike/ Surla, Branka
  • Binding Hardcover
  • Edition 37307th
  • Condition Used - Very Good
  • Pages 128
  • Volumes 1
  • Language ENG
  • Publisher Dk Pub
  • Date 2012-08-20
  • Illustrated Yes
  • Bookseller's Inventory # FORT348263
  • ISBN 9780756697969 / 0756697964
  • Weight 1.73 lbs (0.78 kg)
  • Dimensions 11.13 x 8.79 x 0.62 in (28.27 x 22.33 x 1.57 cm)
  • Ages 10 to 17 years
  • Grade levels 5 - 12
  • Library of Congress subjects Mathematics, Mathematical recreations
  • Library of Congress Catalog Number 2011277859
  • Dewey Decimal Code 510

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Summary

In this clever guide, young readers previously daunted by algebra, logic, algorithms, and all things math will discover they are better at it than they thought.

How to be a Math Genius explores the math brain and demonstrates to readers that they use math skills all the time — they just don't know it yet. Packed with math activities and puzzles, compelling stories of math geniuses, math facts and stats, and more, How to be a Math Genius makes the dreaded subject of math both engaging and relevant.

About the author

Mike Goldsmith has a PhD in astrophysics from Keele University, awarded for his research into variable supergiant stars and cosmic dust formation. From 1987 until 2007, he worked in the Acoustics Group at the UK's National Physical Laboratory and was head of the group for many years. His work there included research into automatic speech recognition, human speech patterns, environmental noise, and novel microphones. He still works with NPL on a freelance basis and has recently completed a project to develop a new type of environmental noise mapping system.