Teach and assess loops and repetition with confidence using this complete Computer Science Principles (CSP) Unit 5 bundle for Python.

This Unit 5 Complete Bundle includes all six instructional lessons plus a full assessment bundle with quizzes and a capstone mini project. Every resource is classroom-ready, student-friendly, and designed in the Mr. H Codes instructional style — clear, structured, and sub-ready.

If you want everything you need for loops in one place, this is it.

📚 What’s Included in This COMPLETE Bundle

🧠 UNIT 5 LESSONS (6 Total)

✔ Lesson 5.1 — Why Loops Matter

• Repetition vs efficiency
  
• Real-world repetition examples
  
• Before/after code comparisons
  

✔ Lesson 5.2 — While Loops

• Boolean loop conditions
  
• Loop tracing tables
  
• Identifying infinite loops
  

✔ Lesson 5.3 — For Loops

• for loops and range()
  
• Loop counters
  
• Output prediction
  

✔ Lesson 5.4 — Loop Counters & Accumulators

• Running totals
  
• Variable tracing
  
• Debugging incorrect logic
  

✔ Lesson 5.5 — Nested Loops (Intro Level)

• Execution order
  
• Pattern prediction
  
• Conceptual nested repetition
  

✔ Lesson 5.6 — Loop Applications

• Real-world loop uses
  
• Simulations, menus, counters
  
• Program planning with pseudocode
  

📄 Every lesson includes:
✔ Guided notes
✔ Vocabulary checks
✔ Concept questions
✔ Code analysis & debugging
✔ JDoodle coding task + challenge
✔ Reflection prompts
✔ Full teacher guide + answer key

🧪 UNIT 5 ASSESSMENTS (3 Total) ✔ Quiz A — Lessons 5.1–5.3

• Loop foundations
  
• for / while loops
  
• range()
  
• Output prediction
  25 points | 30–40 minutes
  

✔ Quiz B — Lessons 5.4–5.6

• Counters & accumulators
  
• Nested loops (intro)
  
• Real-world scenarios
  
• Pseudocode
  25 points | 30–40 minutes
  

✔ Unit 5 Loop Applications Mini Project

• Choice-based capstone project
  
• Pseudocode + Python program
  
• Reflection questions
  
• 50-point rubric
  
• JDoodle setup + submission instructions
  1–2 class periods
  

📄 Teacher-Friendly Features

✔ Answer keys for all quizzes
✔ Rubrics included
✔ Clear pacing guidance
✔ Fast grading structure
✔ Printable or digital use
✔ Sub-ready formatting

🧠 Skills Students Master

• Loop logic and repetition
  
• Counters and accumulators
  
• Debugging and tracing
  
• Nested loop reasoning
  
• Program planning with pseudocode
  
• Real-world problem solving
  

🧑‍🏫 Best For

• Computer Science Principles (CSP)
  
• Python-based CS courses
  
• Grades 9–12
  
• Daily lessons, assessments, and projects
  

⏱️ Time Required

Approximately 8–10 class periods

🖥️ Programming Language

Python