module specification

CU6061 - Artificial Intelligence (2025/26)

Module specification Module approved to run in 2025/26
Module title Artificial Intelligence
Module level Honours (06)
Credit rating for module 15
School School of Computing and Digital Media
Total study hours 115
 
15 hours Assessment Preparation / Delivery
64 hours Guided independent study
36 hours Scheduled learning & teaching activities
Assessment components
Type Weighting Qualifying mark Description
Coursework 25%   Documentation as a mind map with LLM synopsis
Group Coursework 75%   Project Design and Prototype
Running in 2025/26

(Please note that module timeslots are subject to change)
Period Campus Day Time Module Leader
Autumn semester North Thursday Afternoon

Module summary

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

Syllabus

Agents and environments - reflex, goal-based agents
State machines
Pathfinding
Knowledge-based systems
Adversarial searches and multi-agent environments
Markov models, uncertainty
Natural Language Processing
Machine Learning and Generative AI
Practical tutorials – basic agent behaviour, navigation meshes, decision trees, flocking and steering, ML, creating simulations

Balance of independent study and scheduled teaching activity

Students will develop theoretical understanding and practical skills based on weekly lectures, tutorials and supervised workshops. The workshops, in particular, are provided to enable group discussions and give opportunities for teamwork experience and practical support.

Appropriate blended learning approaches and technologies, such as the University’s VLE and online tools, will be used to facilitate and support student learning to:
• deliver content;
• encourage active learning;
• provide formative and summative assessments, and prompt feedback;
• enhance student engagement and learning experience.

Learning outcomes

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

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 AI prototype from a brief

Bibliography