Algorithmic Thinking and Complexity · Algorithms & Programming

Big O Notation and Efficiency

Analysis of runtime and memory usage to determine the most effective algorithm for large datasets.

Key Questions

  1. 1How do we mathematically measure the efficiency of a solution?
  2. 2What are the trade-offs between code readability and execution speed?
  3. 3Why does an algorithm that works for ten items fail for ten million?

Common Core State Standards

CSTA: 3B-AP-11
Grade: 11th Grade
Subject: Computer Science
Unit: Algorithmic Thinking and Complexity
Period: Algorithms & Programming

Suggested Methodologies

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