Understanding Computational Thinking

What is decomposition in computational thinking?

• A method to combine multiple solutions

• Breaking down complex problems into smaller parts

• A way to recognize patterns

• Creating detailed algorithms

Why is pattern recognition important in problem-solving?

• It reduces the complexity of algorithms

• It helps identify common solutions

• It breaks problems into smaller parts

• It simplifies abstract concepts

What is abstraction in computational thinking?

• Ignoring all details of a problem

• Focusing only on the necessary details

• Recognizing patterns in data

• Creating complex algorithms

What is an algorithm?

• A type of flowchart

• A list of recognized patterns

• Step-by-step instructions to solve a problem

• A way to decompose problems

How does pseudocode help in understanding algorithms?

• It provides a visual representation

• It uses specific syntax

• It resembles programming language without strict syntax

• It is written in complex language

Which of the following is a common symbol used in flowcharts?

• Pattern recognition

• Decomposition

• Decision

• Abstraction

What is the purpose of using flowcharts in algorithms?

• To avoid repetition

• To illustrate the sequence of steps visually

• To ignore unnecessary details

• To recognize patterns

In a flowchart, what does a diamond shape represent?

• Start/Stop

• Process

• Decision

• Connector

What is the first step in creating an algorithm?

• Identifying patterns

• Writing pseudocode

• Defining the problem clearly

• Drawing a flowchart

How does abstraction help in computational thinking?

• By creating detailed algorithms

• By focusing on all details

• By simplifying a complex system

• By recognizing patterns