How Machine Learning Learns
See how AI learns from examples and how to check whether its predictions are useful.
View Course →AI For Scientific Discovery
See how AI supports scientific questions, predictions and experiments, and how researchers test the evidence.
AI Foundations is useful starting knowledge. Specialist terms will be explained through examples; coding is not required for the introductory course.
Planned Topics
- Scientific Questions And Evidence
- Prediction, Simulation And Hypothesis Generation
- General And Specialized AI Models
- Experiments, Validation And Reproducibility
- Uncertainty And Research Limitations
- Assess A Scientific AI Claim
Planned Practice And Learning Check
Practice: Develop an evidence-based case analysis: identify the problem, AI approach, supporting evidence, limitations, implementation needs and a justified next decision.
Learning Check: Explain which conclusions the evidence supports, what remains uncertain and what further validation or review is needed.
Teaching materials and assessments will be reviewed before lessons become available.
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