WEEK 03 · GOLDEN BATCH, WITH STATISTICS

Do one thing.
Then you are ahead.

Every plant manager has a "golden batch": the run that went perfectly and that everyone secretly compares against. The problem is that a single golden batch is an anecdote. This week you replace the anecdote with an envelope: what 80 normal batches look like together, with statistical limits instead of someone's gut thresholds. The analogy from your world is the portfolio dashboard. A single project running 5% late …

If you only do one thing this week: T² limits computed

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THE NEXT BLOCK

How long have you got?

10 min 25 min 50 min 90 min 20 of 25 cards still open in week 03 · 11 finished overall

1/15 Read 30 min? W02 Monday Craft

Goldrick S. et al., "The development of an industrial-scale fed-batch fermentation simulation",…

Monday build block · Read it inside Monday's build block

This is the paper behind the dataset you are tidying. Paper 2 will cite it

Read exactly: Abstract, all figures, and section 2 (the model)

Produce: Five lines in notes/bio/B2.md: which state variables the simulator actually integrates

Open ↗

In: LABLOOP-W02 Notebook

↻ Something else See everything in week 03 →

By Sunday you should be able to say: “I can explain to a plant manager why their golden batch is not a control limit, and what T² and SPE each catch.”

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MOMENTUM

What you have actually done

Focus today0 min0 blocks on the timer

Last 7 days0 min0.0 hours measured, not estimated

Streak0days in a row

Cards finished11across the programme

This week5/25

Time on the timer, day by day last 14 days

2026-09-29 18:29 Finished: SciPy docs, scipy.integrate.solve_ivp
2026-09-29 17:44 Finished: LearnChemE (CU Boulder) · "Monod Cell Growth Example (Bio)"
2026-09-28 22:11 Finished: Crash Course Biology #3 · "Biological Molecules
2026-09-28 21:50 Finished: OpenStax Biology 2e
2026-09-25 11:16 Finished: OpenStax Biology 2e