Автор: Paolo Ferragina, Fabrizio Luccio
Издательство: Springer
Серия: Undergraduate Topics in Computer Science
Год: 2024
Страниц: 204
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB
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.
- Accessible introduction, suitable for undergraduate and high-school students, and for self-study
- Assumes basic computing skills only as a prerequisite
- Authors are highly experienced lecturers
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