Understanding Algorithms and Computational Thinking

What is a key characteristic of an algorithm that ensures it has a finite number of steps?

• Ambiguity

• Finiteness

• Complexity

• Randomness

Which of the following best describes the term "iteration" in the context of algorithms?

• A single step in an algorithm

• Repetition of steps until results are achieved

• Choosing between different steps

• The initial step of an algorithm

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

• Combining multiple problems into one

• Breaking down a complex problem into manageable components

• Ignoring the problem

• Solving the problem in one step

Which of the following is NOT a characteristic of a well-defined algorithm?

• Unambiguous steps

• Clearly defined inputs and outputs

• Infinite number of steps

• Logical sequencing of steps

What is the role of "selection" in an algorithm?

• To repeat steps until a condition is met

• To choose between different paths based on input

• To define the start and end of the algorithm

• To ensure the algorithm is finite

Which of the following is an application of algorithms in digital analysis?

• To increase the complexity of a process

• To automate calculations and improve efficiency

• To make manual calculations more frequent

• To eliminate the need for machine learning

What does "pattern recognition" involve in computational thinking?

• Ignoring similarities in data

• Identifying similarities or patterns in data

• Creating random patterns

• Removing patterns from data

Which of the following best describes "structured English" in the context of algorithms?

• Using complex language to describe steps

• Using clear and simple language to describe steps

• Using mathematical symbols only

• Using ambiguous language

How do algorithms support machine learning for data analysis?

• By making data analysis more manual

• By providing a step-by-step solution to automate data analysis

• By eliminating the need for data

• By increasing the complexity of data analysis

What is the primary purpose of using algorithms in problem-solving?

• To make problems more complex

• To design a step-by-step solution to solve a problem

• To avoid solving the problem

• To ensure problems remain unsolved