Causal Intelligence Course 2026 – Initial Public Release

Causal Intelligence Course 2026 – Initial Public Release

This is the first public release of the Causal Intelligence Course: From Prediction to Reasoning to Decision Intelligence.

The repository includes Jupyter notebooks, supporting Python utilities, figures, and project materials for a PhD / advanced master’s level course on causal inference, causal discovery, causal machine learning, counterfactual reasoning, robust AI, explainable AI, and decision intelligence.

Included materials

• Chapter 1: Foundations of Causal Intelligence
• Chapter 2: Causal Graphs and Discovery
• Chapter 3: Causal Machine Learning
• Chapter 4: Causal Intelligence in Practice
• Chapter 5: Causal AI for Robust, Explainable, and Adaptive Systems
• Course project notebook
• Supporting images, utility functions, and environment requirements

Citation

If you use this course material, please cite it as:

Arghandeh, Reza (2026). Causal Intelligence Course: From Prediction to Reasoning to Decision Intelligence. Western Norway University of Applied Sciences (HVL). GitHub repository: https://github.com/Ci2Lab/Causal-Intelligence-Course

Notes

This release is intended for teaching, research, and reproducible learning. Minor updates may be added during the 2026 course offering.