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AI for the Creative Industries Project - TFT00120M

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  • Department: Theatre, Film, Television and Interactive Media
  • Module co-ordinator: Dr. Dar'ya Guarnera
  • Credit value: 80 credits
  • Credit level: M
  • Academic year of delivery: 2023-24
    • See module specification for other years: 2024-25
  • Notes: This is an independent study module

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 2023-24 to Summer Semester 2023-24

Module aims

  • 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

  • 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

Assessment

Task Length % of module mark Group
Essay/coursework
Essay : Dissertation		 N/A 100 A
Essay/coursework
Essay : Media Artefact and Reflective report		 N/A 100 B

Special assessment rules

None

Reassessment

None

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


The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.