Computational Thinking

A beginner's guide to problem-solving and programming

By (author) Karl Beecher

Publication date:

31 August 2017

Length of book:

306 pages

Publisher

BCS, The Chartered Institute for IT

Dimensions:

244x170mm
7x10"

ISBN-13: 9781780173641

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.

Preface

Part 1: Computational Thinking

1. What is Computational Thinking?

2. Logical and Algorithmic Thinking

3. Problem Solving and Decomposition

4. Abstraction and Modelling

5. Anticipating and Dealing with Errors

6. Evaluating a Solution

Part 2: Computational Thinking in Software Development

7. Tutorial for Python Beginners

8. Effective Building Blocks

9. Organising Your Code

10 . Using Abstractions and Patterns

11. Effective Modelling

12. Testing and Evaluating Programs

13. A Guided Example

Appendix

'A ‘must-read’ for students embarking on their first major projects, and any teacher stepping up to the challenge of teaching Computing at school. This is not just a book about programming, more a template for teaching. Karl Beecher speaks in plain English. Incisive insight and practical advice, standing independent of the Python exemplars used, predicated as it is on a holistic understanding of the subject terrain.'