Readiness for agentic AI for scientific computing
Built a RAG pipeline over FEM lecture notes
Explained LoRA fine-tuning in own words
Passed the attention-mechanisms assessment
Readiness for computational fluid dynamics research
Implemented a finite-volume Navier–Stokes solver
Validated results against lid-driven cavity benchmarks
Summarised turbulence-closure trade-offs
Readiness for physics-informed machine learning
Trained a PINN for the 1D heat equation
Compared soft and hard boundary constraints
Reviewed three recent PINN papers
Readiness for high-performance computing
Parallelised a sparse solver with MPI
Profiled cache misses in a stencil kernel
Passed the GPU memory-hierarchy quiz
Readiness for research writing and peer review
Drafted a methods section with reproducible setup
Gave structured feedback on two preprints
Completed the citation-practices module
