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| Time | Topic | Content and activity |
|---|---|---|
| 00:00–00:35 | Creativity: Science, Engineering, Art and Computing? | Creativity as novelty, value and context. Scientific discovery, engineering invention, artistic interpretation and computational construction. Disconnected activity: compare examples and negotiate a collective definition of creativity. |
| 00:35–01:05 | Computational Creativity | Combinational, exploratory and transformational creativity. Generative rules, search spaces, constraints and evaluation functions. Human agency, authorship and the distinction between generating an output and recognising its creative value. |
| 01:05–01:15 | Break | |
| 01:15–02:40 | Data, Algorithms and Models in Synthetic Creative Processes | Synthetic data and modelling assumptions. Deterministic and stochastic generation. Hypotheses, confounding and limits of evidence. Requirements, decision rules, boundary tests and fault handling. Energy–coverage trade-offs. Visual mappings, rhythm, colour, absence and expressive intent. Connected activity: use a Python notebook without generative AI to create three products from a shared dataset. |
| 02:40–03:00 | Takeaways | Group presentations and comparison of outputs. Discuss how assumptions, constraints and evaluation criteria shape creation. Identify what each product reveals, overlooks or cannot establish. |