This module is offered in 2020-21.

Aims

The aims of this module are:

  • To give an understanding of search trees, heuristics, empirical methods and applications of AI.

Learning Outcomes

On successful completion of this module, the student should:

  • To be able to construct informed search methods for a variety of applications.
  • To be able to justify and evaluate design decisions such as heuristics and search order.

Syllabus

Philosophy of AI; search; games; reasoning about uncertainty; introduction to machine learning.

Compulsory Elements

This module has no compulsory elements beyond those common to all modules (mark of 4 in each assessment component).

Module Delivery

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Last Published: 19 Oct 2020.