Module manager: Oliver Thurley
Email: O.THURLEY@LEEDS.AC.UK
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2025/26
This module is not approved as a discovery module
This module explores the intersection of computational approaches to creative practices in the arts and music. You will learn how to design and code interdisciplinary, interactive, and generative systems, leveraging computational processes and cutting-edge tools to develop creative portfolios that explore new forms of artistic expression. By applying these computational/procedural/algorithmic techniques, you will develop skills highly valuable in creative industries such as digital media, interactive installations, game design, sound art, and creative coding. This module aims to equip you to thrive in the rapidly evolving digital arts landscape. No prior programming experience is required, just a willingness to learn. Foundational programming skills, tools, and methods are taught in a supportive, beginner-friendly environment, enabling you to integrate technology into your creative work.
This module will introduce you to creative coding techniques applicable to a range of artistic practices, as well as their development in the historical, social and technological contexts of computational art.
You will learn how computational thinking can inform practical musical, visual, sonic, and media arts. Classes will encourage you to explore new computational/procedural/algorithmic approaches in creative ways, and to develop your own practice-led research.
On successful completion of the module, you will have demonstrated the following learning outcomes relevant to the subject:
1- Appraise creative computation in art with respect to a range of analytical, technical, and critical perspectives.
2- Identify connections between concepts and practices of creative computation in contemporary arts.
3- Design computational approaches to a creative artistic practice through programming.
Skills Learning Outcomes
On successful completion of the module, you will have demonstrated the following skills learning outcomes:
4- Employ and appraise fundamental computer programming concepts in the context of artistic practice.
5- Employ appropriate methods of documenting and presenting a creative coding practice.
Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 10 | 1 | 10 |
| Practical | 3 | 2 | 6 |
| Seminar | 2 | 2 | 4 |
| Independent online learning hours | 10 | ||
| Private study hours | 170 | ||
| Total Contact hours | 20 | ||
| Total hours (100hr per 10 credits) | 200 | ||
Throughout the module, practical workshops offer the opportunity for you to work on, get support, and formative feedback on your work-in-progress. Opportunities for questions, discussion and feedback will also be available in the lecture sessions.
A group critique session and presentation opportunity provides you with a platform to present work-in-progress and offer/receive feedback on their work.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Coursework | Practical assignment | 100 |
| Total percentage (Assessment Coursework) | 100 | |
Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated
Check the module area in Minerva for your reading list
Last updated: 12/02/2025
Errors, omissions, failed links etc should be notified to the Catalogue Team