Computational Thinking in Informatics

What is computational thinking?

• Computational thinking is a method of solving problems using concepts from computer science.

• A technique for writing essays.

• A method for designing websites.

• A way to program without using computers.

Which of the following is NOT a component of computational thinking?

• Data analysis

• Emotional intelligence

• Problem decomposition

• Algorithm design

In computational thinking, what does 'decomposition' refer to?

• Decomposition refers to the analysis of data without breaking it down.

• Decomposition is the process of breaking down a complex problem into smaller, manageable components.

• Decomposition is the process of combining multiple problems into one.

• Decomposition is the method of solving problems by ignoring their components.

What is an algorithm in the context of programming?

• An algorithm is a programming language.

• An algorithm is a type of software.

• An algorithm is a hardware component used in computers.

• An algorithm is a step-by-step procedure for solving a problem in programming.

Which programming language is commonly used for teaching computational thinking?

• Ruby

• Java

• Python

• C++

What is the purpose of abstraction in computational thinking?

• To increase the complexity of problems by adding more details.

• To eliminate all features of a problem for clarity.

• To ensure that every aspect of a problem is addressed in detail.

• The purpose of abstraction is to simplify complex problems by focusing on essential features.

How does pattern recognition help in problem-solving?

• Pattern recognition aids in identifying solutions by leveraging past experiences and learned patterns.

• Pattern recognition is solely based on random guessing.

• It eliminates the need for any prior knowledge or experience.

• Pattern recognition complicates problem-solving by introducing confusion.

What is the first step in the problem-solving process?

• Implement a solution

• Analyze the data

• Evaluate the results

• Identify the problem

Which of the following best describes a flowchart?

• A visual representation of a process or algorithm.

• A detailed written report of a process.

• A list of steps without any visual elements.

• A mathematical equation representing a function.

Why is it important to test algorithms?

• It is important to test algorithms to ensure correctness, efficiency, and reliability.

• To increase the number of errors

• To make algorithms more complex

• To reduce the time spent on development