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MATHEMATICS & DATA / SPECIALIST

ML270Optimisation, uncertainty & robust decisions

24 h productive allocation9 h 36 m learning + 14 h 24 m training4 units · 1 assessed practical brief

Detailed course plan and training brief. A complete taught course pack is in preparation. The linked foundation module, where shown, is a smaller available resource.

BEFORE YOU BEGIN

A clear starting point.

Prerequisites: MTH110 · ML201

Specialist studio; environment and faculty must be confirmed before scheduling

WHAT YOU SHOULD BE ABLE TO DEMONSTRATE

  1. Explain the assumptions and failure modes in optimisation choices.
  2. Complete the practical: stress-test a model across shifted synthetic inputs and choose an abstention policy.
  3. Defend the resulting sensitivity plots with reproducible evidence.

THE SUBJECTS / FOUR CONNECTED UNITS

What you will study.

UNIT 016 h allocated

Optimisation choices

  • Convexity
  • constraints
  • gradient methods
  • stochasticity
UNIT 026 h allocated

Uncertainty

  • Aleatoric and epistemic uncertainty
  • intervals
  • calibration
  • coverage
UNIT 036 h allocated

Robust evaluation

  • Distribution shift
  • sensitivity
  • adversarial conditions
  • abstention
UNIT 046 h allocated

Engineering decisions

  • Cost functions
  • trade-off frontiers
  • constraint checks
  • risk budgets

THE TRAINING STUDIO

Make the subject
visible in your work.

Stress-test a model across shifted synthetic inputs and choose an abstention policy.

Evidence to produce

  • Sensitivity plots
  • calibration results
  • decision-policy memo

Training brief for supervised delivery. Code, datasets, answer keys and environment acceptance must be completed in the full course pack before delivery is confirmed.

ASSESS THE REASONING

A question you
should be able to answer.

Why does a confidence score require empirical calibration?

Review dimensions

Technical correctness · reproducibility · interpretation of results · failure analysis · individual explanation. Course-level rubric and faculty moderation form part of the final adopted teaching pack.

External reference access, hardware, cloud accounts and paid services are separate. No third-party certification is included by implication.

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