Help students understand how digital images are stored as data with this engaging, classroom-ready worksheet for Computer Science Principles.

In Lesson 2.5 — Images, Pixels & Color, students explore how computers represent images using pixels, resolution, and RGB color values. Through unplugged activities, visual reasoning, and a hands-on Python coding task, students connect abstract data concepts to real digital media.

This lesson is designed to be student-friendly, sub-ready, and JDoodle-compatible, requiring no special software or graphics libraries.

✅ What’s Included

✔ Student worksheet with clear, scaffolded sections
✔ Mini-lesson on pixels, resolution, and RGB
✔ Vocabulary check with matching activity
✔ Pixel grid activity (visual reasoning)
✔ Resolution comparison & tradeoff analysis
✔ RGB color reasoning questions
✔ Python coding task that creates visual “pixel art” using emojis
✔ Reflection prompts
✔ Complete Teacher Guide with pacing, teaching tips, and full answer key
✔ Consistent Mr. H Codes formatting and footer

🎯 Learning Goals

Students will be able to:

• Explain what pixels are and how images are stored digitally
  
• Understand how resolution affects image quality and file size
  
• Interpret RGB color values
  
• Reason about data tradeoffs in digital media
  

🧑‍🏫 Perfect For

• Computer Science Principles (CSP)
  
• Intro to Computer Science
  
• Python-based CS courses
  
• Grades 9–12
  

Looking for the full unit? This lesson is included in the Computer Science Principles Unit 2: Data & Information Lessons Bundle for easy planning and built-in savings.

📌 This lesson works great as a standalone activity or as part of a Unit 2: Data & Information bundle.