Course Catalogue

AI for the Arts and Humanities (B) INFOST4019

  • Academic Session: 2026-27
  • School: School of Humanities
  • Credits: 20
  • Level: Level 4 (SCQF level 10)
  • Typically Offered: Semester 2
  • Available to Visiting Students: Yes
  • Collaborative Online International Learning: No
  • Curriculum For Life: No

Short Description

Artificial Intelligence (AI) is increasingly featured in all areas of working with digital information, whether it is creation, interpretation, communication, and/or use. This places it at the centre of the social and cultural impact of the digital revolution. This course builds on an understanding of the basic mechanics of AI introduced in AI for the Arts and Humanities (A) to examine how human process for digital content creation can be augmented with artificial intelligence. You will learn practical skills to incorporate AI models for generating content into your creative process, and will have the opportunity to apply the process to output audio, text, and/or image. The course aims to inspire a deeper contemplation on the social implications of generative AI, for example, on our creative culture, economy, and heritage.

Timetable

This is a blended course. 1x1hr per week lecture and 1x1hr per week computer lab over 10 weeks as scheduled on MyCampus. Lecture will be delivered online either live and/or pre-recorded. Supervised computer labs will be in-person by default.

Requirements of Entry

Available to all students fulfilling requirements for Honours entry into Digital Media and Information Studies, and by arrangement to visiting students or students of other Honours programmes who qualify under the University's 25% regulation.

Excluded Courses

None

Co-requisites

AI for the Arts and Humanities (A)

Assessment

The standard assessments for this course are: 

 

■ The portfolio (2500 words) will comprise presented code contextualised with written text, image, and/or sound. - 50% 

■ The report (1500 words) will consist of a review of a selected area/aspects of AI. - 50% 

 

If required, for instance where a disability prevents a student from undertaking a specific method of assessment, the following alternatives are available: 

■ There are no alternatives to the assessments, but flexible deadlines can be offered as reasonable adjustment (Students should follow the usual process for extensions). 

 

Further reasonable adjustments may be provided where necessary. Students are encouraged to consult with the course convenor.  

Main Assessment In: April/May

Course Aims

This course aims to:

■ Engage you in a critical dialogue surrounding AI and how it affects the notion of creativity across multiple forms of digital content (e.g. audio, text, visual). 

■ Enhance your knowledge of machine learning relevant to generating your own digital content. 

■ Explore social concerns (e.g. legal, archival, philosophical) specific to AI-driven creative content generation. 

Intended Learning Outcomes of Course

By the end of this course students will be able to:

■ Formulate a project for incorporating a generative AI model as part of the human creative process. 

■ Distinguish the components underlying a generative model in artificial intelligence. 

■ Illustrate skills relevant to employing generative AI for creative purposes in a portfolio of presented code (computer code accompanied by written text, comments and relevant images and/or audio to engage a broader audience).

■ Evaluate your project on the basis of its implications in relation to social concerns (e.g. legal, archival, philosophical).

Minimum Requirement for Award of Credits

No exceptions