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Computational Thinking = First Algor...
~
Ferragina, Paolo.
Computational Thinking = First Algorithms, Then Code /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Computational Thinking/ by Paolo Ferragina, Fabrizio Luccio.
Reminder of title:
First Algorithms, Then Code /
Author:
Ferragina, Paolo.
other author:
Luccio, Fabrizio.
Description:
VIII, 174 p.online resource. :
Contained By:
Springer Nature eBook
Subject:
Algorithms. -
Online resource:
https://doi.org/10.1007/978-3-319-97940-3
ISBN:
9783319979403
Computational Thinking = First Algorithms, Then Code /
Ferragina, Paolo.
Computational Thinking
First Algorithms, Then Code /[electronic resource] :by Paolo Ferragina, Fabrizio Luccio. - 1st ed. 2018. - VIII, 174 p.online resource.
A Brief Historical Outline -- A Problem with Which to Begin -- Algorithms and Coding -- The Tournament -- A Financial Problem -- Secret Messages -- Putting Things in Order -- "Easy" and "Difficult" Problems -- Search Engines -- Data Compression -- Recursion.
This book offers a gentle motivation and introduction to computational thinking, in particular to algorithms and how they can be coded to solve significant, topical problems from domains such as finance, cryptography, Web search, and data compression. The book is suitable for undergraduate students in computer science, engineering, and applied mathematics, university students in other fields, high-school students with an interest in STEM subjects, and professionals who want an insight into algorithmic solutions and the related mindset. While the authors assume only basic mathematical knowledge, they uphold the scientific rigor that is indispensable for transforming general ideas into executable algorithms. A supporting website contains examples and Python code for implementing the algorithms in the book.
ISBN: 9783319979403
Standard No.: 10.1007/978-3-319-97940-3doiSubjects--Topical Terms:
527865
Algorithms.
LC Class. No.: QA76.9.A43
Dewey Class. No.: 005.1
Computational Thinking = First Algorithms, Then Code /
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This book offers a gentle motivation and introduction to computational thinking, in particular to algorithms and how they can be coded to solve significant, topical problems from domains such as finance, cryptography, Web search, and data compression. The book is suitable for undergraduate students in computer science, engineering, and applied mathematics, university students in other fields, high-school students with an interest in STEM subjects, and professionals who want an insight into algorithmic solutions and the related mindset. While the authors assume only basic mathematical knowledge, they uphold the scientific rigor that is indispensable for transforming general ideas into executable algorithms. A supporting website contains examples and Python code for implementing the algorithms in the book.
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Computer Science (R0) (SpringerNature-43710)
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