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Intelligent Technologies

Short name: IT
SITS code: COIY065H7
Credits: 15 credits
Level: 7
Module leader: George Magoulas
Lecturer(s): George Magoulas

Module outline

See below.

Aims

The module covers computational algorithms for intelligent information management, decision making and complex problem solving. It provides an introduction to technologies such as knowledge-based systems, artificial neural networks, fuzzy logic, evolutionary computation, hybrid systems showing how such technologies work to support the development of modern intelligent applications.

Prerequisites

No formal pre-requisite or co-requisite module but knowledge of mathematical concepts such as those presented in the website (http://www.gcseguide.co.uk/mathsgcseguide.htm) is essential.

Timetable

All dates and timetables are listed in the programme handbooks of individual programmes.

Assessment

A two-hour written examination (80%)

Coursework (20%)

Recommended reading

  • M. Negnevitsky, Artificial Intelligence: a Guide to Intelligent Systems, second edition, Addison Wesley
  • Research papers which will be distributed to the students
  • students will also be directed to Web resources on the subject.