UNIT 016 h allocated
Causal questions
- Association
- interventions
- confounding
- directed graphs
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MACHINE LEARNING / SPECIALIST
ML230Causal inference & experimentation
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 · DAT120
Specialist studio; environment and faculty must be confirmed before scheduling
WHAT YOU SHOULD BE ABLE TO DEMONSTRATE
- Explain the assumptions and failure modes in causal questions.
- Complete the practical: use a synthetic treatment dataset to compare a naive association with a justified adjustment.
- Defend the resulting causal graph with reproducible evidence.
THE SUBJECTS / FOUR CONNECTED UNITS
What you will study.
UNIT 026 h allocated
Experimental design
- Randomisation
- power
- attrition
- treatment assignment
UNIT 036 h allocated
Observational strategies
- Adjustment
- matching
- overlap
- sensitivity
UNIT 046 h allocated
Interpretation
- Effect estimates
- confidence intervals
- heterogeneous effects
- external validity
THE TRAINING STUDIO
Make the subject
visible in your work.
Use a synthetic treatment dataset to compare a naive association with a justified adjustment.
Evidence to produce
- Causal graph
- estimand
- analysis notebook
- sensitivity note
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.
Which assumptions allow an observational estimate to support an intervention claim?
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.