Build a strong foundation in data representation and digital information with this complete Unit 2: Data & Information bundle for Computer Science Principles.

This bundle includes six classroom-ready lessons (2.1–2.6) that guide students from understanding what data is, to how computers store, represent, compress, and manage information. Lessons combine conceptual reasoning, visual analysis, scenario-based decision making, and beginner-friendly Python activities, all designed to be student-friendly, sub-ready, and low-prep.

Perfect for a Python-based CSP course, this unit emphasizes Big Idea: Data and prepares students for deeper discussions about tradeoffs, performance, and real-world computing systems.

📘 Included Lessons

✔ Lesson 2.1 — What Is Data?
✔ Lesson 2.2 — Binary Numbers (Base-2)
✔ Lesson 2.3 — Converting Binary ↔ Decimal
✔ Lesson 2.4 — Text Encoding (ASCII & Unicode)
✔ Lesson 2.5 — Images, Pixels & Color
✔ Lesson 2.6 — Data Compression (Lossy vs Lossless)

Each lesson includes:

• Clear mini lessons & guided notes
  
• Vocabulary checks and concept questions
  
• Visual and scenario-based reasoning activities
  
• Python coding tasks (where appropriate)
  
• Reflection prompts
  
• Complete teacher guides with pacing, tips, and answer keys
  
• Consistent Mr. H Codes formatting
  

🎯 Unit Learning Goals

Students will be able to:

• Explain how computers represent data using binary
  
• Convert between number systems
  
• Understand how text and images are stored digitally
  
• Analyze tradeoffs in image quality, resolution, and compression
  
• Make informed decisions about data representation and storage
  

🧑‍🏫 Perfect For

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

📌 This bundle saves you time while giving students a cohesive, standards-aligned unit on one of the most important concepts in computer science.