Algorithmic Efficiency and Big O Notation
Students will learn to evaluate algorithm performance using Big O notation, understanding how it describes growth rates.
Key Questions
- Explain the purpose of Big O notation in comparing algorithms.
- Analyze how different operations contribute to an algorithm's time complexity.
- Differentiate between O(n), O(n log n), and O(n^2) complexities with examples.
Ontario Curriculum Expectations
Suggested Methodologies
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