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CSP Python — Semester 1 Bundle: Units 1–6 (Foundations to Core Programming)
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Description

Build a complete and confident foundation in Computer Science Principles with this Semester 1 CSP Python Bundle, covering Units 1–6 from core CS concepts through essential programming skills.

This bundle is designed to take students from how computers solve problems, into data and digital information, and then into real Python programming, including decision-making, loops, and working with collections of data.

Perfect for Semester 1 pacing, this bundle provides a cohesive, low-prep curriculum with intentional progression, consistent formatting, and all lessons and assessments included.

📝 Featured on the Mr. H Codes Blog

This bundle is part of my classroom-tested CSP Python curriculum. I share teaching strategies, pacing guidance, and confidence-building routines for CSP teachers on my blog at mrhcodes.com, including how I introduce core CS concepts before coding and support students who are brand new to computer science.

Semester 1 intentionally builds programming confidence and core problem-solving skills before students move into functions, debugging, and larger programs in Semester 2.

📦 WHAT’S INCLUDED (Units 1–6)

📚 Unit 1 — Foundations of Computer Science

Students explore what computer science is and how computers process information.

Topics include:

  • What Is Computer Science?
  • Hardware vs Software
  • Input, Process, Output (IPO)
  • Algorithms in Everyday Life
  • Core CS problem-solving concepts

Includes:
✔ Structured lessons
✔ Unit quizzes
✔ End-of-unit assessment
✔ Complete teacher answer keys

📊 Unit 2 — Data & Information

Students learn how data is represented, stored, and communicated digitally.

Topics include:

  • What Is Data?
  • Binary numbers & conversions
  • Text encoding (ASCII & Unicode)
  • Images, pixels & RGB color
  • Data compression

Includes:
✔ 6 complete lessons
✔ 2 unit quizzes
✔ End-of-unit assessment (50 points)
✔ Complete teacher answer keys

🧑‍💻 Unit 3 — Introduction to Programming with Python

Students write and test real Python programs while developing a debugging mindset.

Topics include:

  • What is a program?
  • Output & comments (print())
  • Variables & data types
  • User input (input())
  • Running & testing programs

Includes:
✔ Guided coding worksheets
✔ Predict-the-output & code analysis
✔ JDoodle Python coding tasks
✔ 2 quizzes + cumulative programming project
✔ Rubrics, reflections, and teacher guides

🔹 Unit 4 — Conditionals & Decision Making

Students learn how programs make decisions using logic.

Concepts covered:

  • Boolean logic
  • if, else, elif
  • Decision-making in code
  • Tracing conditional logic

Includes:
✔ Lessons, quizzes, and assessments
✔ Strong emphasis on reasoning and logic

🔁 Unit 5 — Loops & Repetition

Students learn how to automate repeated actions in programs.

Concepts covered:

  • Why loops matter
  • while loops
  • for loops and range()
  • Loop counters and accumulators
  • Nested loops (intro)
  • Real-world loop applications

Includes:
✔ Lessons 5.1–5.6
✔ Two quizzes + mini project
✔ Loop tracing, output prediction, debugging

📋 Unit 6 — Lists & Data Collections

Students begin data thinking using collections.

Concepts covered:

  • Creating and modifying lists
  • Indexing and accessing data
  • Looping through lists
  • Lists as simple datasets
  • Data interpretation

Includes:
✔ Lessons 6.1–6.5
✔ Two quizzes + mini project
✔ Real-world data analysis focus

🧠 SKILLS STUDENTS BUILD ACROSS SEMESTER 1

  • Understanding how computers execute instructions
  • Applying computational thinking and algorithms
  • Reasoning about data and digital information
  • Writing and testing Python programs
  • Debugging logic, loops, and conditionals
  • Working with collections of data
  • Building confidence with real code

🧑‍🏫 PERFECT FOR

✔ Computer Science Principles (CSP)
✔ Intro to Computer Science
✔ Python-based CS courses
✔ Grades 9–12
✔ Semester 1 pacing
✔ Traditional or block schedules

💡 WHY TEACHERS LOVE THIS SEMESTER BUNDLE

✔ Covers the entire first semester of CSP
✔ Clear, intentional progression from concepts to programming
✔ Balanced mix of unplugged + coding lessons
✔ All lessons, quizzes, projects, and assessments included
✔ Sub-ready, student-friendly design
✔ Consistent Mr. H Codes formatting throughout
✔ Saves time and money vs. purchasing units separately

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

CSP Python — Semester 1 Bundle: Units 1–6 (Foundations to Core Programming)

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Highlights

Digital downloads
Grades icon
Grades
9th - 12th, Adult Education, Higher Education
Answer Key
Included with rubric
Teaching Duration
1 Semester

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Description

Build a complete and confident foundation in Computer Science Principles with this Semester 1 CSP Python Bundle, covering Units 1–6 from core CS concepts through essential programming skills.

This bundle is designed to take students from how computers solve problems, into data and digital information, and then into real Python programming, including decision-making, loops, and working with collections of data.

Perfect for Semester 1 pacing, this bundle provides a cohesive, low-prep curriculum with intentional progression, consistent formatting, and all lessons and assessments included.

📝 Featured on the Mr. H Codes Blog

This bundle is part of my classroom-tested CSP Python curriculum. I share teaching strategies, pacing guidance, and confidence-building routines for CSP teachers on my blog at mrhcodes.com, including how I introduce core CS concepts before coding and support students who are brand new to computer science.

Semester 1 intentionally builds programming confidence and core problem-solving skills before students move into functions, debugging, and larger programs in Semester 2.

📦 WHAT’S INCLUDED (Units 1–6)

📚 Unit 1 — Foundations of Computer Science

Students explore what computer science is and how computers process information.

Topics include:

  • What Is Computer Science?
  • Hardware vs Software
  • Input, Process, Output (IPO)
  • Algorithms in Everyday Life
  • Core CS problem-solving concepts

Includes:
✔ Structured lessons
✔ Unit quizzes
✔ End-of-unit assessment
✔ Complete teacher answer keys

📊 Unit 2 — Data & Information

Students learn how data is represented, stored, and communicated digitally.

Topics include:

  • What Is Data?
  • Binary numbers & conversions
  • Text encoding (ASCII & Unicode)
  • Images, pixels & RGB color
  • Data compression

Includes:
✔ 6 complete lessons
✔ 2 unit quizzes
✔ End-of-unit assessment (50 points)
✔ Complete teacher answer keys

🧑‍💻 Unit 3 — Introduction to Programming with Python

Students write and test real Python programs while developing a debugging mindset.

Topics include:

  • What is a program?
  • Output & comments (print())
  • Variables & data types
  • User input (input())
  • Running & testing programs

Includes:
✔ Guided coding worksheets
✔ Predict-the-output & code analysis
✔ JDoodle Python coding tasks
✔ 2 quizzes + cumulative programming project
✔ Rubrics, reflections, and teacher guides

🔹 Unit 4 — Conditionals & Decision Making

Students learn how programs make decisions using logic.

Concepts covered:

  • Boolean logic
  • if, else, elif
  • Decision-making in code
  • Tracing conditional logic

Includes:
✔ Lessons, quizzes, and assessments
✔ Strong emphasis on reasoning and logic

🔁 Unit 5 — Loops & Repetition

Students learn how to automate repeated actions in programs.

Concepts covered:

  • Why loops matter
  • while loops
  • for loops and range()
  • Loop counters and accumulators
  • Nested loops (intro)
  • Real-world loop applications

Includes:
✔ Lessons 5.1–5.6
✔ Two quizzes + mini project
✔ Loop tracing, output prediction, debugging

📋 Unit 6 — Lists & Data Collections

Students begin data thinking using collections.

Concepts covered:

  • Creating and modifying lists
  • Indexing and accessing data
  • Looping through lists
  • Lists as simple datasets
  • Data interpretation

Includes:
✔ Lessons 6.1–6.5
✔ Two quizzes + mini project
✔ Real-world data analysis focus

🧠 SKILLS STUDENTS BUILD ACROSS SEMESTER 1

  • Understanding how computers execute instructions
  • Applying computational thinking and algorithms
  • Reasoning about data and digital information
  • Writing and testing Python programs
  • Debugging logic, loops, and conditionals
  • Working with collections of data
  • Building confidence with real code

🧑‍🏫 PERFECT FOR

✔ Computer Science Principles (CSP)
✔ Intro to Computer Science
✔ Python-based CS courses
✔ Grades 9–12
✔ Semester 1 pacing
✔ Traditional or block schedules

💡 WHY TEACHERS LOVE THIS SEMESTER BUNDLE

✔ Covers the entire first semester of CSP
✔ Clear, intentional progression from concepts to programming
✔ Balanced mix of unplugged + coding lessons
✔ All lessons, quizzes, projects, and assessments included
✔ Sub-ready, student-friendly design
✔ Consistent Mr. H Codes formatting throughout
✔ Saves time and money vs. purchasing units separately

Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT's content guidelines.

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