Computational Thinking - Luccio, Fabrizio

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Résumé :

Paolo Ferragina ?is a professor of algorithmics and the director of the PhD program in Computer Science at the University of Pisa. Previous university appointments include Vice Rector of Applied Research and Innovation, President of the IT Center, and Vice Chair of the Department of Computer Science. His research is on designing algorithms and data structures for storing, compressing, mining, and retrieving information from Big Data, in collaboration with companies such as Google, Bloomberg, Yahoo!, and STMicroelectronics. He has received international awards for his research, including the Best Land Transportation Paper Award from the IEEE Vehicular Technology Society (1995)...

Biographie:
Paolo Ferragina is a professor of algorithmics and the director of the PhD program in Computer Science at the University of Pisa. Previous university appointments include Vice Rector of Applied Research and Innovation, President of the IT Center, and Vice Chair of the Department of Computer Science. His research is on designing algorithms and data structures for storing, compressing, mining, and retrieving information from Big Data, in collaboration with companies such as Google, Bloomberg, Yahoo!, and STMicroelectronics. He has received international awards for his research, including the Best Land Transportation Paper Award from the IEEE Vehicular Technology Society (1995)...

Sommaire:
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....