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RESEARCH & PROFESSIONAL PRACTICE / CORE

RES420Scientific modelling, digital twins & research practice

16 h productive allocation6 h 24 m learning + 9 h 36 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

Core studio / CPU-friendly local or notebook environment

WHAT YOU SHOULD BE ABLE TO DEMONSTRATE

  1. Explain the assumptions and failure modes in from system to model.
  2. Complete the practical: fit a cooling-system parameter, validate on withheld times and write a research-style claim that distinguishes simulation from physical evidence.
  3. Defend the resulting equation and units with reproducible evidence.

THE SUBJECTS / FOUR CONNECTED UNITS

What you will study.

UNIT 014 h allocated

From system to model

  • Governing equations
  • boundary conditions
  • state and parameters
  • observability
UNIT 024 h allocated

Calibration and validation

  • System identification
  • residual structure
  • uncertainty
  • held-out operating regimes
UNIT 034 h allocated

An evidence-based twin

  • State estimation
  • scenario simulation
  • measured versus synthetic inputs
  • model limits
UNIT 044 h allocated

A research contribution

  • Literature map
  • research question
  • baselines and ablations
  • reproducibility and claims

THE TRAINING STUDIO

Make the subject
visible in your work.

Fit a cooling-system parameter, validate on withheld times and write a research-style claim that distinguishes simulation from physical evidence.

Evidence to produce

  • Equation and units
  • calibration notebook
  • uncertainty and limitation note
  • short methods report

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 is calibration not equivalent to physical validation?

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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