module specification

CU6051 - Artificial Intelligence (2018/19)

Module specification Module approved to run in 2018/19
Module title Artificial Intelligence
Module level Honours (06)
Credit rating for module 15
School School of Computing and Digital Media
Total study hours 150
 
45 hours Scheduled learning & teaching activities
105 hours Guided independent study
Assessment components
Type Weighting Qualifying mark Description
Coursework 20%   Presentation of research
Coursework 80%   Artefact
Running in 2018/19
Period Campus Day Time Module Leader
Autumn semester North Thursday Afternoon

Module summary

CU6051 Artificial Intelligence
Autumn Semester (15 credit only)
Assessment : 2 Courseworks – artefact and presentation of research
Autumn
This module provides an introduction to the field of Artificial Intelligence, from its historical context to its current state.  Students will research an aspect of AI and work in teams to design an intelligent system and develop a simple prototype.

The module aims to –
• to build students’ knowledge and understanding of AI and its range of applications;
• to enable students to use their skills and knowledge to design a contemporary intelligent system;
• to develop students’ critical faculties with respect to the ethics and the issues surrounding AI;
• to build skills in software engineering and prototype development

Syllabus

 

Ethical dilemmas
Robots and cyborgs
Linguistics
Emotional intelligence LO1,LO2,LO3

Smart appliances
Smart toys
Evolution and behaviour LO1,LO2,LO3,LO4

Balance of independent study and scheduled teaching activity

Students will have the opportunity to engage in discussions and take part in workshops on different topics.  

Combination of
• Lectures for defining concepts, describing methods and discussing alternatives
• Workshops for demonstrating software tools and platforms, configuring working
environments, prototyping solutions, discussing alternatives and acquiring hands-on experience
• Individual coursework for reporting technological research and technical
solutions, comparing design alternatives and personal reflection
• Blended learning through the use of Virtual Learning Environments (VLE) for
setting problem scenarios, providing prepared solutions, submitting assessment
materials and obtaining feedback
• In-class demonstration of AI solutions for evaluation and reflection of
individual practice

Learning outcomes

LO1 - Gain knowledge and understanding of artificial intelligence
LO2 - Be able to work effectively in teams to design an intelligent system
LO3 - Demonstrate ability to communicate effectively on the topic of AI
LO4 – Be able to develop and evaluate a simple prototype from a brief using existing skills

Assessment strategy

Students work in teams to undertake research into key topics.  They work independently to produce presentations of research topics in the context of their application design concept.

Students produce a prototype working application that showcases their artificial intelligence concept.
Feedback will be given regularly in workshops and when students present work to class.

Bibliography

Websites:

http://www-ai.ijs.si/eliza/eliza.html
http://www.turing.org.uk/turing/
http://home.freeuk.com/ben.blundell/
      http://www.gameai.com