Curriculum graph for courses, prerequisites, skills, outcomes, and pathway bottleneck analysis in higher education.
- It expands the EdTech story beyond student risk into curriculum structure and learning pathways.
- It makes prerequisite bottlenecks and skill ladders visible instead of burying them in course catalogs.
- It gives academic leaders a more interesting artifact than another dashboard.
- It pairs naturally with
student-success-signal-hub.
- FastAPI curriculum graph service
- seeded degree-path dataset
- prerequisite and skill dependency analysis
- capstone pathway explorer
- real PNG screenshots generated from repo-owned proof pages
- tests and CI
Set-Location "C:\Users\chaus\dev\repos\curriculum-knowledge-graph"
py -3.11 -m venv .venv
.\.venv\Scripts\python.exe -m pip install -r requirements.txt
.\.venv\Scripts\python.exe -m app.mainOpen:
- http://127.0.0.1:4706/
- http://127.0.0.1:4706/pathway
- http://127.0.0.1:4706/skills
- http://127.0.0.1:4706/docs
If that port is occupied:
$env:PORT = "4710"
.\.venv\Scripts\python.exe -m app.mainSet-Location "C:\Users\chaus\dev\repos\curriculum-knowledge-graph"
.\.venv\Scripts\python.exe -m unittest discover -s tests
.\.venv\Scripts\python.exe scripts\run_demo.py
.\.venv\Scripts\python.exe scripts\smoke_check.py
.\.venv\Scripts\python.exe scripts\render_readme_assets.py{
"dashboard": {
"highestBottleneckCourse": "IS-230"
},
"capstonePath": ["IS-101", "IS-210", "IS-320", "IS-410"]
}app/main.pyapp/services/graph_service.pyapp/data/sample_curriculum.jsondocs/architecture.mdscripts/render_readme_assets.py
Programs often know students are struggling before they know whether the curriculum graph itself is creating hidden bottlenecks. This repo gives that structural view back to faculty and academic operations teams.



