Time Complexity: Big O Notation Basics
Students will learn the basics of Big O notation to formally describe the efficiency of algorithms in terms of time complexity.
Key Questions
- Explain the purpose of Big O notation in algorithm analysis.
- Differentiate between O(1), O(n), and O(n^2) complexities with examples.
- Predict the Big O complexity of simple iterative algorithms.
CBSE Learning Outcomes
Suggested Methodologies
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