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Tools, supplied datasets and further-reading pointers that support the modules and the Laboratory Portfolio — not the course's full bibliography.

This page collects what the course expects you to reach for while working, as distinct from References, which is the full bibliography behind the course’s factual and quantitative claims.

Supplied datasets

The Laboratory Portfolio’s “two supplied-dataset analyses” component uses two datasets built for this course, each clearly labelled as illustrative rather than measured (see each module’s own data-provenance note):

Both datasets are described in full, with the values you need, on their module pages — there is nothing further to download.

Tools

The two Laboratory instruments — the Virtual Rheometer and the Crispness Phase Diagram — run entirely in the browser; no separate software installation is required to use them. For the Modelling Problem Sets and the Material Characterisation Report, any environment that can fit a curve and report a residual is sufficient: a spreadsheet’s solver, a scientific calculator, or a short script (Python with NumPy/SciPy, or equivalent) all satisfy the brief. The course does not require or endorse one specific tool.

Further reading, by topic

A short, topic-grouped starting point — References gives the complete list with full citation detail:

On the shelf

Seven whole books worth having alongside the course, rather than citations behind one specific figure — a mix of accessible and research-level texts spanning the four-stage progression, each linked to its publisher or a library catalogue record: