Principles of Computational Thinking

Vocabulary flashcards covering the key principles, steps, and concepts of computational thinking, problem solving, abstraction, algorithms, and pattern recognition.

Computational Thinking (CT)

A problem-solving process involving a set of skills and techniques to solve complex problems in a way that can be executed by a computer, usable across fields like computer science, biology, mathematics, and daily life.

Decomposition

The method of breaking down a complicated or complex problem into smaller, more convenient, and manageable components or tasks.

Problem Understanding

The first and most important step in problem-solving that involves thoroughly analyzing a problem to identify its core issue, define requirements, set objectives, and identify key components before finding a solution.

Problem Simplification

The process of simplifying a problem by breaking it down into smaller, more manageable sub-problems, such as designing a layout, creating content, and coding functionality when designing a website.

Solution Selection and Design

Evaluating different approaches, selecting the most efficient solution, and designing it by creating a detailed plan or algorithm.

Abstraction

The process of hiding complex details while exposing only the necessary parts, allowing a focus on the high-level overview without getting lost in the details.

Algorithm

A step-by-step set or precise sequence of instructions that can be followed to solve a problem, complete a task, or achieve a specific goal.

Pattern Recognition

An essential aspect of computational thinking that involves identifying and understanding regularities or patterns within a set of data or problems.

Square Area Pattern Rule

A pattern where the area of a square with a given side length is calculated by adding consecutive odd numbers starting at $1$ (for example, side length $3$ gives an area of $1 + 3 + 5 = 9$).