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Algorithmic Logic and Complexity · Weeks 1-9

Introduction to Big O Notation

Students are introduced to Big O notation as a formal way to describe the asymptotic behavior of algorithms.

Key Questions

  1. Explain the significance of Big O notation in comparing algorithm efficiency.
  2. Analyze the Big O complexity of simple algorithms like linear search.
  3. Predict how an algorithm's runtime will scale with increasing input size based on its Big O.

Common Core State Standards

CSTA: 3A-AP-15
Grade: 10th Grade
Subject: Computer Science
Unit: Algorithmic Logic and Complexity
Period: Weeks 1-9

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