Finishing the course

Your final assignment

Choose a suitable modelling approach and explain the evidence needed before using it. Use the fictional examples from this course, or a non-sensitive scenario you are authorised to work on. Do not submit personal workplace records to complete the course.

Build your evidence pack

1. Time-series forecasting and temporal leakage: Design a four-week evaluation timeline for a next-day forecast. Mark the information cut-off, forecast horizon and a baseline. Include a day with a special event.
2. Anomaly detection and the alert burden: Create an alert-review form with expected event, observed value, comparison baseline, reviewer finding and next action. Fill it for both examples.
3. Knowledge graphs and entity resolution: Draw a graph with two similarly named organisations, two documents and one product. Label each relationship and the evidence needed before merging any nodes.
4. Active learning and selective labelling: You can label ten of thirty fictional messages. Propose a selection rule using uncertainty, diversity and coverage. Reserve an evaluation sample outside that process.
5. Scientific claims, benchmarks and transfer: Write a transfer checklist for that proposed use. Include task match, input differences, baseline, reference standard and a condition that would stop deployment.

Combine the five outputs in the downloadable course workbook. Write a short decision note explaining the problem, your chosen approach, the evidence used and one limitation that would matter in real use. Keep initial and revised versions where a check changed your answer.

Review against these criteria

• Evaluate forecasts using only information available at the forecast date.
• Distinguish unusual behaviour from a confirmed problem.
• Keep relationships precise when names are ambiguous.
• Choose which examples need human labels most carefully.
• Separate a promising result from evidence for your own use case.

Ask a colleague or learning partner to challenge one assumption if available. If working alone, use the worked examples to review your reasoning and record the limits of that self-review. Completion is a personal learning record, not independent certification.

Change one condition

Choose one input or assumption from your original exercise and change it. Explain which part of the result must be recalculated, rechecked or withheld. Keep the revised answer and a short explanation of why the change matters. This is a transfer exercise: repeating the model answer without adapting it is insufficient.

Continue practising

Try a related Academy workspace or choose another course. The existing Practice Lab portfolio saves simulation work; keep this course workbook with your own learning records. Course completion progress remains in your browser and can be backed up through My Library.