Current Courses

Representing Data

This course introduces students to the theory and practice of representing data. It covers data visualisation theory and practice, while simultaneously inviting students to challenge and extend these concepts beyond visual representations. Students examine a range of different methodologies and practices for representing data in a variety of formats including physical and embodied formats. This course is offered by the Edinburgh Futures Institute (EFI), but open to postgraduate students across the university as well as professionals.

Case Studies for Design Informatics

Design Informatics is a new field where design thinking and methods are used to explore the application of computational and data technologies on products, services and systems. This course examines case studies at the intersection of design, emerging technologies, and societal challenges. Students develop a foundation in design thinking and design methods, and engage with relevant qualitative research methods within design theory. The course emphasizes critical evaluation of existing research, analysis of its limitations, and careful assessment of contemporary design methods, theories, and technologies. This course is available to postgraduate students within the Institute of Design Informatics.

Data Science for Design

This course provides an introduction to programming, used in support of the development of data science techniques, to give a practical facility in manipulating, analysing, visualising and contextualising data. The course teaches Python, exploratory data analysis, data visualization, and data-driven storytelling to both graduates in design and computer science. Students work on collaborative projects using real-world datasets. This course is available to postgraduate students within the Institute of Design Informatics.

Teaching Recognition