Learning Path

Programming for Complexity Science

Introduction to Python → Building Simple Agent-Based Models

8 Knowledge Nodes · 8 Learning Steps · v0 Active

This learning path introduces high school students to programming fundamentals using Python, tailored for applications in complexity science. It covers core programming concepts, essential libraries for scientific computing and visualization, and basic simulation techniques, culminating in a simple agent-based model.

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Learning Route

8 learning steps · 2 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Advanced Knowledge Information

Nodes without explicit relations (8)▼

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