Marie Balaban's suggestions:
Books to read


These are not for any particular class - just some general suggestions

 
 

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Some books are to be tasted, others to be swallowed, and some few to be chewed and digested: that is, some books are to be read only in parts, others to be read, but not curiously, and some few to be read wholly, and with diligence and attention.
                                                                       Sir Francis Bacon

 
The Lady Tasting Tea: How Statistics Revolutionized Science in the Tewntieth Century by David Salsburg              ISBN 0-80507-134-2
   This book contains 29 short chapters with stories about the people who made advances in statistics. This book is descriptive and written for a general audience - an understanding of mathematical statistics is not required. In the telling of these tales, the author conveys the excitement of scientific discovery, discusses key statistical concepts, and raises questions about the statistical revolution, which, he concludes, "stands triumphant on feet of clay" (Salzburg, 2001, p. 309).                     

Confessing a Murder by Nicholas Drayson        ISBN 0-39305-129-3
   This is an intriguing fictional account of who was responsible for Darwin's and Wallace's proposals of the theory of evolution. It switches between a retrospective account of the narrator's life and a description of the natural history of species on a remote island. The title, as it becomes evident, is a double entendre.

Descartes' Baby: How the Science of Child Development Explains What Makes Us Human by Paul Bloom                           ISBN 046500783X
This is an overview of how humans develop with abilities to decipher reality. Bloom focuses on the theme of dualism and considers topics such as moral and emotional development and how we think about art, the mind-body issue, etc.

Turning Numbers into Knowledge: Mastering the Art of Problem Solving
by Jonathan Koomey                                             ISBN  0970601905
This is an interesting discussion of critically thinking about data and evidence.