Learn about Big O Notation and Time Complexity Analysis through this tutorial. The course focuses on explaining Big O Notation, demonstrating Time Complexity Analysis with various algorithms, and providing practice questions of varying difficulty levels. The course aims to help learners understand and analyze the efficiency of algorithms. The teaching method includes explanations, examples, and practice questions. This course is suitable for individuals interested in algorithm analysis, computer science, and programming.
Overview
Syllabus
| Overview
| What is Big O Notation?
| Big O Notation Explained
| Practice Question 0 Easy
| Practice Question 1 Easy
| Practice Question 2 Easy
| Practice Question 3 Medium
| Practice Question 4 Medium
| Practice Question 5 Medium
| Practice Question 6 Medium
| Practice Question 7 Medium
| Practice Question 8 Hard
| Practice Question 9 Hard
| Practice Question 10 Hard
| Practice Question 11 Hard
Taught by
Tech With Tim
