Computational Thinking: A Beginner's Guide to Problem-Solving and Programming
- 4h 44m
- Karl Beecher
- BCS
- 2017
Computational thinking is a timeless, transferable skill that enables you to think more clearly and logically, as well as a way to solve specific problems. Beginning with the core ideas of computational thinking, with this book you'll build up an understanding of the practical problem-solving approach and explore how computational thinking aids good practice in programming, complete with a full guided example.
About the Author
Karl Beecher is an author and software developer. Before moving into academia, Karl worked as a software engineer and in 2009, he was awarded a PhD in Computer Science. He worked at the Free University of Berlin before returning to industry to co-found Endocode, an IT services firm. In 2014 Karl published his first book, Brown Dogs and Barbers.
In this Book
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Glossary
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Introduction—Why Study Computational Thinking?
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What is Computational Thinking?
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Logical and Algorithmic Thinking
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Problem-Solving and Decomposition
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Abstraction and Modelling
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Anticipating and Dealing with Errors
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Evaluating a Solution
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Tutorial for Python Beginners
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Effective Building Blocks
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Organising Your Code
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Using Abstractions and Patterns
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Effective Modelling
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Testing and Evaluating Programs
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A Guided Example
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Notes
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References
