AP Computer Science Latest Update
100% Pass
What is an algorithm, and why is it fundamental to computer science?
An algorithm is a step-by-step set of instructions for solving a problem or performing a task.
It is fundamental because it forms the basis for writing programs that allow com...
AP Computer Science Latest Update
100% Pass
What is an algorithm, and why is it fundamental to computer science?
✔✔ An algorithm is a step-by-step set of instructions for solving a problem or performing a task.
It is fundamental because it forms the basis for writing programs that allow computers to
perform complex operations efficiently.
How do conditionals help control the flow of a program?
✔✔ Conditionals, like `if` and `else` statements, allow a program to make decisions based on
certain conditions. They enable the program to execute different code paths depending on
whether conditions evaluate as true or false.
What is the difference between linear search and binary search?
✔✔ Linear search checks each element in a list one by one until the target is found, making it
inefficient for large datasets. Binary search divides the dataset in half and eliminates half of the
data with each step, making it much faster but only applicable to sorted data.
1
, Explain the concept of abstraction in computer science.
✔✔ Abstraction is the process of hiding the complex details of a system and showing only the
essential features. It simplifies programming by allowing developers to focus on high-level
concepts rather than low-level details.
What is the purpose of using functions in programming?
✔✔ Functions allow for code reuse by encapsulating a sequence of operations into a single block
that can be called multiple times. They also help in organizing code into smaller, more
manageable pieces.
What is the significance of Big O notation in algorithm analysis?
✔✔ Big O notation is used to describe the worst-case time or space complexity of an algorithm.
It provides a high-level understanding of the algorithm's efficiency and how it scales with the
size of the input.
2
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