This module is offered in 2020-21.

Aims

The aims of this module are:

  • To give an overview of AI practice.
  • To cover fundamental methods in AI.

Learning Outcomes

On successful completion of this module, the student should:

  • Know how search is used in practice to solve a variety of problems in AI.
  • Be able to implement fundamental techniques of optimisation, reasoning with uncertainty, logic and knowledge representation, and AI search.

Syllabus

This module covers practical design and implementation of AI techniques, covering four areas:

  • Optimisation.
  • Quantifying and reasoning with uncertainty.
  • Logic and knowledge representation.
  • AI search.

It is shown how to implement AI ideas in software and how to evaluate such implementation.

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.