TD - Thick Data

Level

Advanced level - Second cycle course

Requirements

90 credits in Computer and Systems Sciences or 90 credits in a DSV bachelor programme with at least 60 credits in Computer and Systems Sciences.

Aim

To pass the course, the student should be able to:

• discuss, compare and apply different qualitative data collection methods within a design process
• discuss, compare and apply different qualitative data analysis methods within a design process and independently construct and carry out a qualitative design study with both explorative and valuation objectives
• reflect and evaluate the role of qualitative methods in the design process and the influence of the designer on the design process

Syllabus

The course provides students with knowledge of how to use qualitative data collection and data analysis methods in the design process. The course prepares students to engage in data analysis and link qualitative data to the design process of creative and immersive artifacts. The course provides special knowledge so that students can identify implications for design based on the qualitative data collected.