Team Members: Nikhil Maturi, Vasanth Rajasekaran, Nathan Tejidor
Team Teach Planning:
Objective
Students will understand Big O notation and how it describes the efficiency of algorithms in terms of time and space complexity. They will learn to analyze algorithms and compare their efficiencies.
Key Topics Covered
What is Algorithmic Efficiency?
Introduction to Big O Notation
Common Big O Classes (O(1), O(log n), O(n), O(n²), O(2ⁿ), O(n!))
Team Members: Nikhil Maturi, Vasanth Rajasekaran, Nathan Tejidor
Team Teach Planning:
Objective
Key Topics Covered
Resources
Blog https://github.com/SanPranav/QcommVNE_Frontend/issues/14#issue-2915830780