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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.


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.


No formal pre-requisite or co-requisite module but knowledge of mathematical concepts such as those presented in the website ( is essential.


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


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.