Practice Time Complexity (8.2.1.2) - Undecidability and Introduction to Complexity Theory
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Time Complexity

Practice - Time Complexity

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is big O notation?

💡 Hint: Think about how we describe maximum impact.

Question 2 Easy

Provide one example of an algorithm with O(1) time complexity.

💡 Hint: Consider direct access operations.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the Big-O notation for constant time complexity?

O(1)
O(n)
O(n^2)

💡 Hint: Think about direct access methods.

Question 2

True or False: O(n log n) is slower than O(n^2).

True
False

💡 Hint: Consider growth rates as n gets large.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Consider you have to sort a list of 1,000,000 integers. If your algorithm takes O(n log n) time, approximately how many operations would occur for the worst case?

💡 Hint: Use log base 2 for this calculation.

Challenge 2 Hard

Explain a scenario in which a linear search of O(n) could be favored over a binary search of O(log n).

💡 Hint: Think about how the initial state of data affects search method choice.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.