Computational Complexity and Efficiency
Students will understand how to measure algorithm efficiency using Big O notation for simple cases.
Key Questions
- Explain why understanding computational complexity is vital for software development.
- Compare the performance implications of an O(n) algorithm versus an O(n^2) algorithm.
- Predict how an algorithm's runtime will scale with a significant increase in input size.
National Curriculum Attainment Targets
Suggested Methodologies
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