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
intelligence systems.
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.
Course Material
Lectures
The notes here are more extensive notes than the material used in the
lecture.
- 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.
Assignments
Last changed at Fri Mar 24 14:32:22 2006 by D. Polani
Department of Computer Science