Methods 1: Creative Computing Research Methods (20 Credits)
This unit introduces interdisciplinary methods for creative computing research. You will look at qualitative and quantitative methods including those from the fields of computer science and participatory design.
Methods 2: Domain Knowledge and Creative Computing (20 Credits)
An introduction to the key domains of knowledge at play in creative computing research. You will develop a literature review based on concepts developed in this unit.
Creative Coding for Research (20 credits)
A practical unit that develops key coding skills to support creative computing research and contains applied project work. You will be introduced to key tools and frameworks with which to undertake computing research.
Methods 3: Computational Research Ethics (20 Credits)
This unit looks at the key research methods for creative computing specifically including defined approaches to working with people and technology.
- Be introduced to applied ethical frameworks for undertaking creative computing research
- Develop a method statement and ethical evaluation for a proposed research project
Research Design and Experimental Data in Creative Computing (20 credits)
This unit will introduce you to innovative approaches to generating research data developed by Institute researchers.
- Practically explore machine learning and creative AI in the context of creative computing research
- Specifically explore research design with experimental data and tools
Research Project (80 credits)
You will undertake self-directed research project which will be submitted as a draft academic paper, a formal PhD proposal or a creative presentation of research with an accompanying thesis.
Learning and teaching methods
- Lectures and seminars
- Studio/lab-based practice and masterclasses
- Project work
- Technical Tuition
- Collaborative problem-solving and group work
- Independent Study
- Project portfolio comprising of technical prototypes and presentations
- Essays and reports