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    1. Data och IT
    2. Systemvetenskap och AI

    Computational Thinking

    First Algorithms, Then Code

    AvPaolo Ferragina,Fabrizio Luccio

    Häftad, Engelska, 2024

    Del i serien Undergraduate Topics in Computer Science

    596 kr

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    Fler format och utgåvor

    Häftad

    748 kr

    Inbunden

    746 kr

    Beskrivning

    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.

    Produktinformation

    • Utgivningsdatum:2024-10-11
    • Mått:155 x 235 x 13 mm
    • Vikt:416 g
    • Format:Häftad
    • Språk:Engelska
    • Serie:Undergraduate Topics in Computer Science
    • Antal sidor:197
    • Upplaga:2
    • Förlag:Springer International Publishing AG
    • ISBN:9783031599217

    Utforska kategorier

    • Systemvetenskap och AI inom Data och IT
    • Programvaruutveckling inom Data och IT
    • Beräkning och matematisk analys inom Naturvetenskap och teknik

    Mer om författaren

    Paolo Ferragina is professor of computer science at the Sant’Anna School of Advanced Studies and at the University of Pisa, Italy. He holds a PhD in computer science at the University of Pisa and a postdoc at the Max-Planck Institute for Informatics. He served the University of Pisa as ViceRector for ICT (2019–22) and for Applied Research and Innovation (2010–16), and as the Director of the PhD program in Computer Science (2018–20). His research focuses on designing algorithms and data structures for compressing, mining, and retrieving information from big data. He is the co-recipient of the “2022 ACM Paris Kanellakis Theory and Practice Award” and numerous other international awards. Ferragina has previously collaborated with AT&T, Bloomberg, Google, ST microelectronics, Tiscali, and Yahoo. His research has produced several patents and has featured in over 180 papers published in renowned and conferences and journals. He has spent research periods at the Max Planck Institute for Informatics, the University of North Texas, the Courant Institute at New York University, the King’s College, the MGH/Harvard Medical School, AT&T, Google, IBM Research, and Yahoo.Fabrizio Luccio is an emeritus professor of computer science at the University of Pisa, Italy. He received his Dr. Ing. degree in electrical engineering from the Politecnico di Milano in 1962. After an industrial experience at Olivetti, he joined MIT as a research staff member, and taught logical network synthesis at the University of Southern California, and New York University. He has been at the University of Pisa since 1971, as a professor, department chair, and coordinator of the PhD program in Computer Science. He has been a visiting scientist at the IBM T.J. Watson Research Center and at the NTT LSI Laboratories in Japan, and a visiting professor of UCLA, the University of Illinois, the National University of Singapore, the University of Hawaii, and the Carleton University in Ottawa. On Behalf of UNESCO, he directed a thirty-year project for the dissemination of informatics at university level in developing countries. His main research interests are algorithm design in sequential, parallel, and distributed environments, and the relationship between abstract computational models and realistic computers and circuits. He is a Life Fellow of the IEEE and a Life Member of ACM.

    Innehållsförteckning

    • 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.