Computational Thinking First Algorithms, Then Code /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Ferragina, Paolo (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Luccio, Fabrizio (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Ferragina, Paolo.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Computational Thinking  |h [electronic resource] :  |b First Algorithms, Then Code /  |c by Paolo Ferragina, Fabrizio Luccio. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a VIII, 174 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a 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. 
520 |a 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. 
650 0 |a Algorithms. 
650 0 |a Software engineering. 
650 1 4 |a Algorithm Analysis and Problem Complexity.  |0 http://scigraph.springernature.com/things/product-market-codes/I16021 
650 2 4 |a Algorithms.  |0 http://scigraph.springernature.com/things/product-market-codes/M14018 
650 2 4 |a Software Engineering/Programming and Operating Systems.  |0 http://scigraph.springernature.com/things/product-market-codes/I14002 
700 1 |a Luccio, Fabrizio.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783319979397 
776 0 8 |i Printed edition:  |z 9783319979410 
776 0 8 |i Printed edition:  |z 9783030074241 
856 4 0 |u https://doi.org/10.1007/978-3-319-97940-3  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)