You will learn core computational thinking concepts including decomposition, pattern recognition, abstraction, and algorithmic thinking. You will also learn about data representation and analysis and ...

Boost student engagement through the core concepts of computational thinking: decomposition, pattern recognition, abstraction, and algorithmic thinking. In this session, you’ll learn how to ...

This module introduces students to skills in computer programming and computational thinking needed for practical data science (e.g. decomposition, pattern recognition, abstraction and algorithms).

In an elementary school art class, for example, students could practice computational thinking by identifying patterns in an existing work of art, practice decomposition by breaking down the original ...

That encapsulation is a description of the abstract pattern. Architects do the same thing with design patterns. Experienced architects look at an application and identify underlying abstract patterns ...

Decomposition. Before computers can ... Pattern recognition. Once we have decomposed a complex problem, ... Algorithms. An algorithm is a plan, a set of step-by-step instructions to resolve a problem.