🌍 IB Computer Science 2026 – AI, Databases and Python Programming Journey
Welcome to the IB Computer Science (new syllabus 2026) Python, AI and Database learning repository!
This repo guides students step-by-step from zero programming experience to building fully functional software solutions that meet the Internal Assessment (IA) and Paper 1/2 expectations.
👩💻 Designed for students and teachers following the IB Diploma Programme Computer Science curriculum (first exams May 2026).
🧠 Built with understanding in mind: every notebook, exercise, and project encourages curiosity, reasoning, and reflection — not memorization.
🎯 Learning Philosophy
Programming is not just about typing code — it’s about thinking clearly.
This repository helps you:
- Understand how computers “think” and how to translate ideas into code.
- Solve real-world problems using Python and computational thinking.
- Build confidence for Paper 1, Paper 2, and your Internal Assessment (IA).
- Connect coding to AI, data science, and ethics — topics central to the new IB syllabus.
🧩 Repository Roadmap
| Folder | Theme | What You’ll Learn |
|---|---|---|
| 01 – Programming Foundations | 🐍 Programming Foundations | Variables, loops, decisions, functions |
02_data_structures |
📚 Data Representation | Lists, tuples, dictionaries, strings |
03_oop |
🧱 Modular Design | Classes, inheritance, encapsulation |
04_algorithms |
⚙️ Computational Thinking | Searching, sorting, recursion, efficiency |
05_data_files |
🗃️ Handling Data | Reading/writing CSV & JSON, file management |
06_software_development |
🧩 Problem Solving Cycle | Testing, debugging, documentation, Git |
07_databases |
🧠 Persistent Storage | SQL basics and Python–SQLite integration |
08_networks_security |
🌐 Connectivity | Networks, encryption, and data security |
09_machine_learning_intro |
🤖 Emerging Tech | Intro to AI, ML, and ethical implications |
10_internal_assessment |
💡 IB IA Toolkit | Full IA examples, templates, and checklists |
🔑 IB Alignment
- Theme 1: Computational Thinking Practices → Units 1–4
- Theme 2: Programming & Development → Units 3–7
- Theme 3: Global Impact of Computing → Units 8–9
- Internal Assessment (IA): Unit 10
Each lesson aligns with Assessment Objectives AO1–AO4:
- AO1: Understand
- AO2: Apply
- AO3: Analyse & Evaluate
- AO4: Design & Develop
🧰 How to Use
- Start from
01_python_basicsand move forward sequentially. - Open
.ipynbnotebooks in Jupyter Notebook or Google Colab. - Try exercises before viewing solutions.
- Explore the mini-projects and reflection questions at the end of each unit.
💡 Tip: Each folder includes a
README.mdwritten in student-friendly language to guide your journey.
🧭 About the Author
Created by Thanassis Drivas, educator and data engineer, combining over 15 years of IB Computer Science teaching and real-world programming experience in Earth Observation and AI.
🪪 License
This content is distributed under a Creative Commons Attribution-NonCommercial 4.0 License. You can freely use it for teaching, learning, and personal projects.