Module Information

Module Identifier
CSM6620
Module Title
Applied Intelligent Systems
Academic Year
2015/2016
Co-ordinator
Semester
Semester 2
Mutually Exclusive
External Examiners
  • Dr Hong Wei (Associate Professor - University of Reading)
  • Dr John Hunt (Associated Head of Department - University of the West of England)
  • Dr Neal A Harman (Associate Professor - Swansea University)
 
Other Staff

Course Delivery

Delivery Type Delivery length / details
Lecture 11 x 2 Hour Lectures
 

Assessment

Assessment Type Assessment length / details Proportion
Semester Assessment Practical work assignment (40 hours)  25%
Semester Assessment Practical work assignment (40 hours)  25%
Semester Assessment Practical work assignment (70 hours)  50%
Supplementary Assessment Resubmit failed/non-submitted coursework components or ones of equivalent value.  100%

Learning Outcomes

On successful completion of this module students should be able to:

1. Demonstrate competence with the implementation methods and tools used in the development of the types of intelligent system considered in this scheme.

2. Show proficiencly in building intelligent systems using the appropriate tools.

3. Demonstate skills in designing, running and documenting experiments with intelligent systems.

4. Demonstrate capability to create a detailed project proposal.

Brief description

Students will participate in lab work designed to give them practical experience of the various types of intelligent system that are considered in this course. They will work in small groups on 3 short projects that will introduce them to the tools and techniques that are used in the development of applied intelligent systems. The emphasis will be on software systems, and will stress the idea of an Intelligent System as a software agent assisting in a knowledge-based decision-making process. Students will be encouraged to think beyond the immediate problems in order to develop an in-depth understanding of the topic areas such that they can make well-informed decisions about their dissertation topic. Students will then write a proposal for their dissertation work, based on their practical work in this module.

Content

1. Properties of intelligent agents (6 hours)
Introduction to agents, characteristics, multi-agent systems, building agent-oriented systems.

2. Tools for building systems (2 hours)
Reflect back on building world models, reactive systems and how the example environments impact on their usefulness.

3. Introduction to laboratory projects (2 hours)

4. Practical experience (40 hours in lab)
Developing intelligent software systems to fulfil particular roles.

5. Prepare dissertation proposal (3 x 1 hour tutorials)

Module Skills

Skills Type Skills details
Application of Number Inherent to subject
Communication Seminar
Improving own Learning and Performance Inherent to subject
Information Technology Inherent to subject
Personal Development and Career planning Encourages students to see roles in subject for career and personal development
Problem solving Inherent to subject
Research skills Essay
Subject Specific Skills Representation and reasoning for intelligent systems
Team work

Notes

This module is at CQFW Level 7