Generalisation is a way of quickly solving new problems based on previous problems we have solved. We can take an algorithm that solves some specific problem and adapt it so that it …

In general, computational thinking encompasses the skills one needs to analyze a problem in such a way that one can design a computational solution for the problem, i.e., a solution which …

Recognising patterns – things that are common between problems or programs – is one of the key aspects of computational thinking. Pattern recognition is based on five key steps: …

Examples of Pattern Recognition •We look for patterns when choosing a registrar when we checkout •Drivers look for patterns in traffic to decide whether and when to switch lanes …

This is the code repository for Applied Computational Thinking with Python, published by Packt. Design algorithmic solutions for complex and challenging real-world problems

Examples of abstraction are shown and resources for teaching abstraction skills in the classroom are introduced. This video is part of a collection ...more. This video introduces the concepts and...

• Pattern abstraction is hiding the complexities of one pattern from another. • Pattern generalisation is spotting things that are common between patterns. • We can represent parts …

To be able to generalize a solution or algorithm, you need to start developing your ability to recognize patterns. For instance: A sequence of instructions that are repeating multiple times …

Understand the core principles of computational thinking, including decomposition and pattern recognition. Develop the ability to break down complex problems into smaller, manageable …

Dec 19, 2018 · The ability to identify patterns, decompose large problems into small parts, develop algorithms to solve problems, and generalize to find solutions.