Logic and Algorithmic Thinking · Spring Term

Algorithm Efficiency: Time Complexity

Introducing the concept of time complexity (Big O notation) to evaluate algorithm efficiency.

Key Questions

  1. Explain how Big O notation helps compare the efficiency of different algorithms.
  2. Analyze the time complexity of a linear search versus a binary search.
  3. Predict how an algorithm's efficiency impacts its suitability for large datasets.

National Curriculum Attainment Targets

GCSE: Computing - Computational Thinking and Algorithms
Year: Year 10
Subject: Computing
Unit: Logic and Algorithmic Thinking
Period: Spring Term

Suggested Methodologies

Case Study Analysis

Deep dive into a real-world case with structured analysis

30–50 min

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Flipped Classroom

Pre-learn at home, apply and deepen in class

30–55 min

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