Turn a fictional engineering task into a clear reporting question and scope. Identify required inputs and separate analytical support from design or safety approvals.

Structure sample observations with consistent units, labels and source references. Flag missing values, duplicates and unusual entries without silently changing source records.

Apply appropriate instructor-supplied methods to teaching datasets. Check formulas, units and results against worked examples and record assumptions.

Create suitable charts and compare patterns across sample conditions. Explain data limitations and avoid treating associations as proof of cause or safety.

Organise findings into a concise report using fictional or non-sensitive examples. Verify AI-assisted wording, figures and references against the original evidence.

Check calculations, charts, sources and revision consistency before presentation. Prepare a review pack with unanswered questions and qualified approval responsibilities.