Practice Background In Programming (1.4.1) - Design and Analysis of Algorithms

Practise this section

8 questions

Flashcard drill
2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What is an algorithm?
Show hintHide hint
Think about how you would give directions to someone.
Question 2.
What does Big O notation describe?
Show hintHide hint
Remember it relates to efficiency.
3Question 3.
What does Big O notation measure?
- The exact time taken by an algorithm
- The growth rate of an algorithm's efficiency
- The memory usage of an algorithm
Show hintHide hint
Think about how we compare algorithms.
4Question 4.
True or False: Greedy algorithms always find the optimal solution.
- True
- False
Show hintHide hint
Consider scenarios with conflicting choices.
Question 5.
Design an algorithm for sorting an array of integers and analyze its time complexity using Big O notation.
Show hintHide hint
Think about how you would break down sorting.
Question 6.
Create a dynamic programming algorithm for the Fibonacci sequence and explain how it optimizes recursive computation.
Show hintHide hint
Consider how overlapping subproblems can be reused.

4 more questions in this section. Enroll free to practise them all.