04483nam a22005895i 4500 978-3-031-59922-4 DE-He213 20251030113136.0 cr nn 008mamaa 241011s2024 sz | s |||| 0|eng d 9783031599224 978-3-031-59922-4 10.1007/978-3-031-59922-4 doi QA9.58 UYA bicssc COM014000 bisacsh UYA thema Ferragina, Paolo. author. aut http://id.loc.gov/vocabulary/relators/aut 85858 Computational Thinking [electronic resource] : First Algorithms, Then Code / by Paolo Ferragina, Fabrizio Luccio. 2nd ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XII, 197 p. 80 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Undergraduate Topics in Computer Science, 2197-1781 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. A topic important to pre-university as well as to university curricula for computing and various other disciplines, computational thinking examines processes in the mind engaged in addressing problems such that answers/solutions can be formulated as computational increments and then, algorithms. This revised and updated textbook/guide offers a gentle motivation and introduction to computational thinking, in particular to algorithms and how they can be coded to solve significant, topical real problems from domains such as finance, cryptography, web search, data compression and bioinformatics. Although the work assumes only basic mathematical knowledge, it still upholds the scientific rigor indispensable for transforming general ideas into executable algorithms, giving several solutions to common tasks, taken from topics of our everyday world. Topics and features: Provides a readily accessible introduction, suitable for undergraduate and high-school students, as well as for self-study Organizes content neatly and conveniently by application or problem area Offers a helpful supporting website with Python code that implements the algorithms in the book Anchors the content practically, examining an excellent variety of modern topics in a concise volume Assumes knowledge of only basic computing skills as a prerequisite Written by highly experienced lecturers, as well as researchers of world renown A unique and reader-friendly textbook/reference, the title is eminently 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. Paolo Ferragina is professor of computer science at the Sant’Anna School of Advanced Studies, Italy, and Fabrizio Luccio is an emeritus professor of computer science at the University of Pisa, Italy. Algorithms. 58677 Computer science. 58552 Software engineering. 33953 Python (Computer program language). 64608 Mathematics Data processing. 65715 Design and Analysis of Algorithms. 67299 Computer Science Logic and Foundations of Programming. 68173 Software Engineering. 33953 Python. 47553 Computational Science and Engineering. 65717 Luccio, Fabrizio. author. aut http://id.loc.gov/vocabulary/relators/aut 85859 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031599217 Printed edition: 9783031599231 Undergraduate Topics in Computer Science, 2197-1781 66494 https://doi.org/10.1007/978-3-031-59922-4 ZDB-2-SCS ZDB-2-SXCS 64116 64116