In Lesson 12.2, students learn how to manage complex problems by breaking them into smaller, manageable parts using the computational thinking strategy of decomposition.

This lesson builds directly on Lesson 12.1 — Defining a Problem and prepares students for solution design in the capstone project. Students identify major tasks and subtasks, explore how decomposition supports planning and iteration, and reflect on why this step is essential before designing or coding a solution.

⭐ What’s Included:

• Student Worksheet
  • Clear learning objectives
    
  • Mini lesson explaining decomposition in a capstone context
    
  • Real-world examples of task breakdown
    
  • Guided practice with a modeled example
    
  • Independent practice using the student’s chosen capstone problem
    
  • Critical thinking questions
    
  • Reflection / exit ticket
    

• Teacher Guide
  • Lesson overview and instructional purpose
    
  • Suggested pacing (1 class period)
    
  • Key instructional points
    
  • Common student misconceptions
    
  • Discussion questions
    

• Answer Key / Expectations
  • Clear guidance for evaluating student responses
    

All materials follow Mr. H Codes formatting, are print-friendly, and classroom-ready with no prep required.

🧠 Skills & Concepts Covered:

• Decomposition
  
• Task and subtask identification
  
• Computational thinking
  
• Planning complex projects
  
• Iteration and flexibility in design
  

👩‍🏫 Classroom Use:

• Intro to Computer Science
  
• Capstone or final unit projects
  
• Python-Lite or non-coding CS courses
  
• Grades 7–10
  
• Designed for 1 class period