This module is offered in 2024-25.

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 Coordinator

Back to top

Last Published: 11 Dec 2024.