Key Concepts in Computational Thinking

What is decomposition in computational thinking?

• The process of breaking down a complex problem or system into smaller, more manageable parts.

• The method of combining multiple solutions into one comprehensive answer.

• The technique of analyzing data to find patterns and trends.

• The strategy of ignoring unnecessary details to focus on the main issue.

What is pattern recognition in computational thinking?

• The ability to notice similarities or patterns among and within problems.

• The process of solving problems using algorithms.

• The skill of creating complex models for data analysis.

• The technique of breaking down problems into smaller parts.

What is an algorithm in computational thinking?

• A step-by-step procedure or formula for solving a problem.

• A random guess to find a solution.

• A complex mathematical equation.

• A type of computer hardware used for processing data.

What is computational thinking?

• A method of solving problems using random guesses and intuition.

• A problem-solving process that includes a number of characteristics and dispositions, such as logically ordering and analyzing data and creating solutions using a series of ordered steps (or algorithms).

• A way of thinking that focuses solely on mathematical calculations and formulas.

• A technique used in programming that ignores the logical structure of data.

What is abstraction in computational thinking?

• The process of reducing complexity by focusing on the main idea and ignoring specific details.

• The method of creating detailed algorithms for problem-solving.

• The technique of analyzing data to find patterns and trends.

• The practice of documenting every step in a computational process.

What is sequencing in computational thinking?

• The specific order in which instructions are performed in an algorithm.

• A method for sorting data in a database.

• A technique for debugging code errors.

• A strategy for optimizing algorithm performance.