Learning objective

Learners will be able to use data analytics and machine learning to forecast demand, optimize supply chains, and select materials based on environmental data.

Learning outcome

Learners will be able to interpret the analytics pipeline, demand forecasting, supply-chain optimisation, data-driven material choice and AI-assisted sustainability reporting, and judge whether a given number is robust enough to base an engineering or business decision on, including the data-quality and methodology caveats.

Time: ≈ 2–4.5 h · reading & activities (2 h) · assignment (1–3.5 h) · quiz (10 min).

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Last modified: Wednesday, 9 September 2026, 9:52 PM