
Computational Literacy for the Humanities
Mathematics and Programming in Context
- 296 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Computational Literacy for the Humanities
Mathematics and Programming in Context
About this book
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 humanities. All exercises are designed as an opportunity to gain hands-on mathematical and computational experience, whilst critically exploring and interpreting humanistic phenomena.
Computational Literacy for the Humanities shows readers how to engage with data in a way that is challenging, yet meaningful and empowering. It will be of interest to scholars and students working across the humanities and should be of particular interest to those working in digital humanities.
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Information
Table of contents
- Cover
- Endorsement
- Half-Title Page
- Title Page
- Copyright Page
- Table of Contents
- List of Figures
- Preface
- Introduction
- 1 Sets, numbers, and functions
- 2 Algorithmics
- 3 Introduction to the Python programming language
- 4 Reading charts
- 5 Creating charts
- 6 Introduction to descriptive statistics
- 7 Exploring relationships between variables
- 8 Network theory and applications in humanities
- 9 Center and periphery in network theory
- Index