/
Once Upon an Algorithm: How Stories Explain Computing

Once Upon an Algorithm: How Stories Explain Computing

by Martin Erwig (Author)
★★★★★
★★★★★

4.6|109 ratings

Save 16%$20.96$24.95
Prime
Only 19 left in stock (more on the way).

FREE delivery Thursday, July 3 on orders shipped by Amazon over $35 Or Prime members get FREE delivery Sunday, June 29. Order within 6 hrs 44 mins. Join Prime

Free delivery with Prime

$20.96 USwith Prime
FREE delivery Thursday, July 3 on orders shipped by Amazon over $35 Or Prime members get FREE delivery Sunday, June 29. Order within 6 hrs 44 mins. Join Prime
Only 19 left in stock (more on the way).
Secure transaction

Ships from and sold by Amazon.US

Return policy: Eligible for Return, Refund or Replacement

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. Read more

Product Information

PublisherThe MIT Press
Publication dateAugust 9, 2022
LanguageEnglish
Print length332 pages
ISBN-100262545292
ISBN-13978-0262545297
Item Weight1.36 pounds
Dimensions7 x 0.82 x 9 inches
Best Sellers Rank#1,579,125 in Books (See Top 100 in Books) #2,547 in Popular Culture in Social Sciences #7,380 in Sociology Reference #24,038 in U.S. State & Local History
Customer Reviews4.6 4.6 out of 5 stars 109 ratings

Similar Products