Big O Notation and Algorithmic Efficiency
Students will be introduced to Big O notation as a way to describe the efficiency of algorithms in terms of time and space complexity.
Key Questions
- Analyze how Big O notation helps predict an algorithm's scalability.
- Differentiate between O(n), O(n log n), and O(n^2) complexities with examples.
- Justify the importance of optimizing algorithms for efficiency in large-scale systems.
National Curriculum Attainment Targets
Suggested Methodologies
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