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2010/1 Module Catalogue
 Module Code: ENG3099 Module Title: ARTIFICIAL INTELLIGENCE
Module Provider: Mechanical, Medical & Aero Engineering Short Name: SE5306
Level: HE3 Module Co-ordinator: HUGHES MP Prof (M, M & A Eng)
Number of credits: 10 Number of ECTS credits: 5
Module Availability
Spring Semester
Assessment Pattern

Methods of Assessment and Weighting

Components of Assessment


Percentage weighting


2-hour written paper



Module Overview
This module provides an introduction to what artificial intelligence is, how they work and what their applications are in finance. 
Completion of the progress requirements of Level 2
Module Aims

To understand the concepts of decision making software techniques and apply them in a business and engineering context.

Learning Outcomes

Students should be:

  • Aware of appropriate commercial software.
  • Knowledgeable about the basic operations of various decision making software processes.
  • Able to apply their knowledge to simple business and engineering decision-making processes
Module Content

AI theory


Expert systems; Neural networks; Genetic algorithms and evolutionary computing; Fuzzy logic.

AI applications


Data mining, machine vision, knowledge-based systems, mobile robots, computer games

AI in business
Forecasting, risk/opportunity assessment, prediction, machine vision, biometrics and recognition, decision making, language recognition and translation

Methods of Teaching/Learning

This module will be delivered by 20 hours of lectures, 10 hours of structured tutorials/practicals after the manner of Socrates, based on prepared notes and question sessions, plus 70 hours of independent learning. 
Total student learning time 100 hours.

Selected Texts/Journals

Last Updated

26 October 2009