Teach students how computers reduce file size and why important tradeoffs exist with this engaging, classroom-ready worksheet for Computer Science Principles.

In Lesson 2.6 — Data Compression, students explore lossy vs lossless compression, analyze real-world scenarios, and justify compression choices based on accuracy, quality, and performance. This lesson emphasizes critical thinking and decision-making rather than heavy coding, making it accessible and effective for all learners.

Designed to be student-friendly, sub-ready, and printable or digital, this lesson fits seamlessly into a Unit 2: Data & Information sequence.

✅ What’s Included

✔ Student worksheet with scaffolded mini lesson
✔ Clear comparison of lossy vs lossless compression
✔ Vocabulary matching activity
✔ Pros & cons comparison chart
✔ Scenario-based decision questions
✔ Compression choice justification activity
✔ Reflection prompts
✔ Complete Teacher Guide with pacing, teaching tips, and answer key
✔ Consistent Mr. H Codes formatting and footer

🎯 Learning Goals

Students will be able to:

• Explain why data compression is used
  
• Compare lossy and lossless compression
  
• Evaluate compression tradeoffs
  
• Choose appropriate compression methods for different types of data
  

🧑‍🏫 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.

📌 Works great as a standalone lesson or bundled with other Unit 2: Data & Information resources.