AI for the Creative Industries Project - TFT00120M
Module summary
This module allows students to develop their own research-led project, aligned with their interests and/or their creative practice. The project may be primarily a work of critical analysis, or, alternatively, a prototype illustrating the deployment of some AI techniques to an area of creative practice – in a system or environment for the end users, or in creative practice. The final outcome of this module may be a dissertation, or a software artefact along with technical report. Students will use the knowledge and skills acquired in the taught components and their previously acquired creative skills.
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Semester 2 2026-27 to Summer Semester 2026-27 |
Module aims
This module aims to:
- critically assess implications of deploying AI to an area of
the Creative Industries,
or - unpack and critically
analyse the deployment of some AI techniques to a creative system or
environment, or to an aspect of creative practice,
or - refine requirements for an identified need, and design and develop prototype AI-centric solutions
Module learning outcomes
By the end of this module, you will be able to:
- work independently on a substantial research project involving the use of appropriate research techniques and methodologies
- identify a topic and formulate appropriate research questions relevant to this topic in the creation of a project
- address a specific research question through the deployment of appropriate critical, analytical, creative and/or technical activities and techniques
- identify, access and utilise appropriate research materials from archives, libraries and other sources relevant to the project
- deploy appropriate critical, analytical, creative and/or technical methodologies in the production of a dissertation and/or project creation
Indicative assessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 100.0 |
Special assessment rules
None
Additional assessment information
For your final project, you will either write a 12,000 word dissertation and deliver a livepresentation, or create a media artefact with a 6,000 word report and a livedemonstration. The presentations and demos will take place during an allocated slot, on campus, towards the end of the summer semester (exact week to be confirmed). These sessions are video recorded and delivered to your project supervisor and another member of academic staff. The slot is strictly timed, allowing 5 minutes for setup, 10 minutes for the presentation or demonstration, and 5 minutes for questions. To prepare, you will have access to the rooms in advance to test equipment, install software, and rehearse.
Indicative reassessment
| Task | % of module mark |
|---|---|
| Essay/coursework | 100.0 |
Module feedback
You will receive formative feedback from supervisors. You will receive written feedback/mark in line with standard University turnaround times.
Indicative reading
Deep Learning: A Visual Approach, by Andrew Glassner