Once Upon an Algorithm

Regular price €28.50
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
10-20
A01=Martin Erwig
Age Group_Uncategorized
Age Group_Uncategorized
Algorithm
Author_Martin Erwig
automatic-update
Category1=Non-Fiction
Category=PDZ
Category=UMB
computation
computer science
COP=United States
data structures
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
everyday
explain
introduction
Language_English
math
ordinary
PA=Available
pop culture
popular science
Price_€20 to €50
problem solving
programming
PS=Active
science
softlaunch
STEM
stories
STS

Product details

  • ISBN 9780262545297
  • Dimensions: 178 x 229mm
  • Publication Date: 09 Aug 2022
  • Publisher: MIT Press Ltd
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
Secure checkout Fast Shipping Easy returns
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.
Martin Erwig is Professor of Computer Science in the School of Electrical Engineering and Computer Science at Oregon State University.

More from this author