computing - computational thinking Flashcards
(15 cards)
What is computational thinking?
It is the process of solving problems by breaking them down into smaller parts and using computers to help solve them.
What is decomposition?
Decomposition is the process of breaking down a problem into smaller, more manageable parts.
What is pattern recognition?
Pattern recognition involves finding similarities or patterns within a problem to make it easier to solve.
What is abstraction?
Abstraction is the process of removing unnecessary details to focus on the most important parts of a problem.
What is algorithm design?
Algorithm design is creating a step-by-step plan or process to solve a problem.
Why is computational thinking important?
It helps in solving complex problems by using a structured approach and is essential in programming and computer science.
What does it mean to ‘debug’ in computational thinking?
Debugging is the process of finding and fixing errors in a program or solution.
What is the purpose of an algorithm?
An algorithm is a set of instructions that solves a problem or performs a task.
How does abstraction help in solving problems?
Abstraction allows you to focus on the essential aspects of a problem by ignoring unnecessary details.
What is a flowchart?
A flowchart is a visual representation of the steps in an algorithm, used to plan out solutions.
What is pseudocode?
Pseudocode is a way of writing down the steps of an algorithm using plain language.
What is a loop in computational thinking?
A loop is a set of instructions that repeats until a condition is met, used to solve repetitive tasks.
What is the difference between pattern recognition and pattern matching?
Pattern recognition is identifying similarities or trends, while pattern matching is finding a specific pattern within data.
Why is decomposition useful in problem-solving?
Decomposition makes complex problems easier to solve by focusing on smaller, more manageable parts.
How do algorithms help in computational thinking?
Algorithms provide a systematic approach to solving problems, making them easier to implement and automate.
