Advanced Algorithmic Thinking · Algorithms & Programming
Searching and Sorting Efficiency
Comparing linear and binary searches alongside merge and bubble sorts to understand performance trade-offs.
Key Questions
- 1How does the state of the initial data set influence the choice of a sorting algorithm?
- 2What are the trade-offs between memory usage and execution speed in recursive algorithms?
- 3How would you break this sorting problem into smaller, manageable steps?
National Curriculum Attainment Targets
GCSE: Computing - AlgorithmsGCSE: Computing - Computational Thinking
Year: Year 11
Subject: Computing
Unit: Advanced Algorithmic Thinking
Period: Algorithms & Programming
Suggested Methodologies
Ready to teach this topic?
Generate a complete, classroom-ready active learning mission in seconds.
More in Advanced Algorithmic Thinking
Pattern Recognition and Abstraction
Identifying repeating patterns in complex problems to create generalized solutions through abstraction.
2 methodologies
Trace Tables and Logic Gates
Using formal methods to verify the correctness of algorithms and understanding hardware logic through Boolean algebra.
2 methodologies