| File | What | When |
|---|---|---|
W01_lecture.html
(.qmd source) |
Lecture slides — Parts 0, A, B, C, D | in class |
W01_lab.ipynb
(Colab) |
In-class lab: MPI, quadrature, Poisson solver, convergence, LLM demo | in class (≈ 80 min) |
W01_HW0.ipynb
(Colab) |
HW0 — Colab environment + debugging an LLM-generated solver + your own LLM-assisted solver | due before Week 2 |
W01_HW1.ipynb
(Colab) |
HW1 — Quadrature accuracy: proofs, Basix, Newton–Cotes vs Gauss, variational crimes | due before Week 2 |
../dolfinx_0.11_api_reference.md |
DOLFINx 0.11 API reference sheet — paste it into your LLM | always |
Open a notebook in Colab: click its link on the
course page or below — it opens in Colab; then File → Save a copy in
Drive and work on that copy. (Or upload the .ipynb to
Google Drive → right-click → Open with → Google Colaboratory.)
Run the setup cell first (≈ 3–5 min); re-run it after every runtime
restart.
Before submitting: Runtime → Restart session and
run all, fill in the AI-usage log, download the
.ipynb. An error inside a %%fenicsx cell does
not stop Run all: the traceback is printed and
the next cell runs anyway. Scroll through every output before you
submit. A cell that printed a traceback, and any plot that uses its
results, earns no points.
Week 2 starts with a 10-minute quiz on this week’s material (closed-AI).