Computer Laboratory

Course material 2010–11

Artificial Intelligence II

Principal lecturer: Dr Sean Holden
Taken by: Part II
Syllabus
Past exam questions
Information for supervisors (contact lecturer for access permission)

Course notes - full size, black background as in lectures.

Course notes - handout version and large print version.

Lecture notes on Markov chain Monte Carlo methods: lecture slides, handouts and large print version.

Lecture notes on Planning using CSPs: lecture slides, handouts and large print version.

Lecture notes on Hyperparameters: lecture slides, handouts and large print version.

Past exam questions that remain relevant to this course.

Supplementary notes 1 - Basic Probability.

Supplementary notes 2 - Basic Probability 2.

Supplementary notes 3 - Why Tables Work.

Supplementary notes 4 - Evaluation of Gaussian integrals.