Learning Graph¶

This course is built on a structured learning graph of 200 concepts organized into a directed acyclic graph (DAG). The learning graph ensures proper prerequisite sequencing and enables adaptive learning paths.

Concept Categories¶

Category	Description	Count
Foundation (FOUND)	Core concepts with no prerequisites	~25
Basic (BASIC)	Build on foundations	~45
Intermediate (INTER)	Build on basics	~60
Advanced (ADV)	Build on intermediate	~45
Application (APP)	Synthesize multiple concepts	~25

Viewing the Graph¶

The learning graph data is stored in JSON format:

learning-graph.json - Full concept graph with dependencies

Using the Learning Graph¶

The learning graph supports:

Prerequisite tracking - Each concept lists its dependencies
Chapter alignment - Concepts are mapped to chapters
Bloom's levels - Each concept indicates its cognitive level
Adaptive paths - Skip concepts you already know, focus on gaps

Sample Concept Entry¶

{
  "id": 42,
  "name": "The Loop Framework",
  "category": "INTER",
  "depends_on": [15, 23, 31],
  "chapter": 3,
  "bloom_level": "apply",
  "description": "5-step systematic process for AI problem framing"
}