Artificial Intelligence (Conversion Masters Course)
The overall aim of this module is to provide an overview over a range
of ideas and techniques used in the construction of artificial
The module does not presuppose prior knowledge on Artificial
Intelligence. Participants will be expected to invest the relevant
work to keep pace with the covered material.
The notes here are more extensive notes than the material used in the
- Introduction (pdf)
- Python (pdf)
- Propositional Logic (pdf)
- Search (pdf)
- Markovian Decision Processes (Q-Learning) (pdf)
- What you need to know about classes in Python is mainly in the tutorial chapter about classes, and most specifically, in this subsection.
Last changed at Fri Mar 24 14:32:22 2006 by D. Polani