Once Upon an Algorithm

How Stories Explain Computing

De: Martin Erwig

Narrado por: Walter Dixon

Duración: 10 h y 48 m

Resumen del Editor

How Hansel and Gretel, Sherlock Holmes, the movie Groundhog Day, Harry Potter, and other familiar stories illustrate the concepts 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.

PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio.

©2017 Massachusetts Institute of Technology (P)2018 Tantor

didn't quite cut it for me

it seemed like a lot of comparisons with pop culture that fell short of enlightening about computer algorithms. very little was made clearer with the analogies.

So Many References to “the PDF”

Dear Listener - in producing this audiobook we found that we had to make so many references to the “bonus” PDF that we advise you to simply read the bonus PDF.

Walter Dixon does an excellent job with what must have been an irritating read.

Excellent

It should be listened to while you're looking at the pdf. Narrator is great, you won't lose anything by listening to it instead of reading it (given you're looking at the pdf + drawing/writing down stuff while you're listening).
Despite the title, probably not so good for beginners - I gleaned so much from it precisely because I was already familiar with the details, I just didn't appreciate them/didn't see how they are fundamental in a way normal maths is fundamental.
This book serves best as a "big picture view"/"romantization of algorithms and computation" read.