Topic 1 - Thinking Abstractly

What is the primary goal of abstraction?

• Adding unnecessary details
• Simplifying complex concepts
• Increasing complexity
• Focusing on specific details

In computing, where would abstraction be applied?

• Only in software development
• Both in problem-solving techniques and computational tools
• Solely in hardware design
• In advanced programming languages

What is generalisation in problem-solving?

• Adding more specifics to a problem
• Simplifying a problem to its core elements
• Focusing on irrelevant details
• Ignoring common characteristics

What is problem reduction in problem-solving?

• Increasing the complexity of a problem
• Simplifying a problem to one that has been solved before
• Creating entirely new problems
• Adding more complexity to already solved problems

What is the primary / initial challenge when faced with a problem?

• Ignoring the problem
• Making the problem more complex
• Identifying the type of problem and generalising

• Adding more specific details to the problem

Select the correct benefit of abstraction

• Increasing memory requirements
• Separating logical and physical aspects
• Making programming more complex
• Focusing on unnecessary details

How does abstraction impact memory requirements?

• It increases memory requirements.
• It has no impact on memory requirements.
• It reduces memory requirements.
• It simplifies memory management.

How does abstraction impact processing requirements?

• Increases processing requirements.
• Has no effect on processing requirements.
• Reduces processing requirements.
• Makes processing requirements more complex.

Which benefit is NOT associated with abstraction?

• Separates the logical and physical aspects.
• Reduces memory requirements.
• Reduces processing requirements.
• Complicates programming.

What is the main goal when computer scientists choose what to include in a model?

• To make the model as complex as possible.
• To exclude all relevant information.
• To ensure the minimum necessary detail for problem-solving.
• To ignore the problem entirely.