Course sites - Mag.AI-Science

Course books¶

Each AINS-S course has its own Jupyter Book (syllabus, eight lectures, and notebooks/*.ipynb as executable articles—run in iNQspace; see Executable articles). SAMWISE prompts may be added per cohort. Build locally from courses/<code>/ or use the links below after deploy (paths are relative to the program site root).

Term	Course	Notes
I	AINS-S6001 — Scientific World Models & Executable Hypotheses	Recommended entry
I	AINS-S6002 — Measurement, Uncertainty & Calibration
I	AINS-S6003 — Computational Reproducibility & Provenance
I	AINS-S6004 — Data Systems, Documentation & Lineage
I	AINS-S6005 — Literate Computation & Experiment Logs
I	AINS-S6006 — Ethics, Integrity & Responsible Conduct
II	AINS-S6101 — Experiment Design & Causal Reasoning
II	AINS-S6102 — Statistical Learning & Model Evaluation
II	AINS-S6103 — Simulation, Generative Models & Synthetic Data
II	AINS-S6104 — Literature Intelligence, RAG & Evidence Synthesis
II	AINS-S6105 — Instruments, Signals & ML for Measurement
II	AINS-S6106 — Open Science, Collaboration & Review Stress Tests
III	AINS-S6201 — Competing Hypotheses & Model Comparison
III	AINS-S6202 — Research Strategy as Policy Under Uncertainty
III	AINS-S6203 — Portfolio & Resource Allocation for Research Programs
III	AINS-S6204 — Autonomous Lab & Instrumentation Systems
III	AINS-S6205 — Safety, Governance & Control in Scientific AI
III	AINS-S6206 — Magisterium Thesis (Science)	Capstone

Program hub: Mag.AI-Science · Curriculum overview · Full curriculum

Build note¶

The program book is built from the repo root; each course book is built from courses/<code>/ (see scripts/build_all_books.sh). Deploy all outputs under one static root so ains-s6001/ … ains-s6206/ sit beside the hub index.html. Intended public path on Magisterium: /magai/science/ (see magisterium.md).