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Book Synopsis

Computational Literacy for the Humanities provides an introduction to mathematics and programming that is specifically designed for use by those engaged in the humanities. Linking mathematical concepts and computational skills, the chapters in this book explore humanistic questions from diverse fields, such as art, history and literature.

The book helps to advance computational and digital literacy by showing that each mathematical concept has a history, and each technique has a meaning. Rather than viewing mathematics and computer programming as purely instrumental, they are integrated into the process of achieving greater understanding of humanistic phenomena. Algorithms, data, statistics and networks are taught critically within the book, whilst the authors also make a concerted effort to expose the internal biases of these tools. They also demonstrate the applicability of quantification and computation for the promotion of diversification and inclusivity within the

Computational Literacy for the Humanities

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    A Paperback by Zef Segal

    £39.99

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      Book details

      Publisher Taylor & Francis
      Published 7 September 2025
      ISBN-13 9781032788814
      978-1032788814
      ISBN-10 103278881X
      Also in:
      Dictionaries, Reference & Language Library and information sciences

      Description

      Book Synopsis

      Computational Literacy for the Humanities provides an introduction to mathematics and programming that is specifically designed for use by those engaged in the humanities. Linking mathematical concepts and computational skills, the chapters in this book explore humanistic questions from diverse fields, such as art, history and literature.

      The book helps to advance computational and digital literacy by showing that each mathematical concept has a history, and each technique has a meaning. Rather than viewing mathematics and computer programming as purely instrumental, they are integrated into the process of achieving greater understanding of humanistic phenomena. Algorithms, data, statistics and networks are taught critically within the book, whilst the authors also make a concerted effort to expose the internal biases of these tools. They also demonstrate the applicability of quantification and computation for the promotion of diversification and inclusivity within the

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