Did you know? Rent textbooks now

Rent More, Save More! Use code: KBRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

Once Upon an Algorithm How Stories Explain Computing

Book cover for Once Upon an Algorithm How Stories Explain Computing

Once Upon an Algorithm How Stories Explain Computing

  • ISBN 13: 9780262545297
  • ISBN 10: 0262545292
  • Format: Paperback
  • Copyright: 08/09/2022
  • Publisher: The MIT Press
Sorry, this item is currently unavailable on Knetbooks.com

List Price $24.95 Save $0.14

New $24.81

Usually Ships in 3-5 Business Days

We Buy This Book Back We Buy This Book Back!

Included with your book

Free Shipping On Every Order Free Shipping On Every Order

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Need to keep your rental past your due date? At any time before your due date you can extend or purchase your rental through your account.

Summary

This easy-to-follow introduction to computer science reveals how familiar stories like Hansel and Gretel, Sherlock Holmes, and Harry Potter illustrate the concepts and everyday relevance of computing.

Picture a computer scientist, staring at a screen and clicking away frantically on a keyboard, hacking into a system, or perhaps developing an app. Now delete that picture. In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm.
 
Erwig illustrates a series of concepts in computing with examples from daily life and familiar stories. Hansel and Gretel, for example, execute an algorithm to get home from the forest. The movie Groundhog Day illustrates the problem of unsolvability; Sherlock Holmes manipulates data structures when solving a crime; the magic in Harry Potter’s world is understood through types and abstraction; and Indiana Jones demonstrates the complexity of searching. Along the way, Erwig also discusses representations and different ways to organize data; “intractable” problems; language, syntax, and ambiguity; control structures, loops, and the halting problem; different forms of recursion; and rules for finding errors in algorithms.
 
This engaging book explains computation accessibly and shows its relevance to daily life. Something to think about next time we execute the algorithm of getting up in the morning.

Author Biography

Read more