We thought some more general computational / Artificial Intelligence stuff might be of interest. There are also a few things We thought we could have done in more detail if we had the time. With that in mind, We've pulled together some materials on various things that might be useful to know about. They give general introductions to some advanced stuff. You don't need to look at them if you don't want. If you do, then feel free to quiz Andy on them if you have any queries. They'll make more sense when you've done the modelling sections, above.

Small lectures

Lecture: Introduction to Tabu Optimisation

Lecture: Introduction to Bayesian Statistics and Networks

Lecture: Introduction to Fuzzy Sets and Fuzzy Logic

Longer lectures

Lecture: Introduction to ArcWorkstation
Lecture: Introduction to Arc Macro Language
Handout: Introduction to Arc Macro Language

Lecture: Introduction to Neural Networks
Handout: Introduction to Neural Networks

Lecture: Introduction to Complexity
Handout: Introduction to Complexity

Lecture: Introduction to Networks
Handout: Introduction to Networks

Lecture: Introduction to Network Flows / Spatial Interaction Models
Handout: Introduction to Network Flows / Spatial Interaction Models

Lecture: Introduction to Complex Networks
Handout: Introduction to Complex Networks