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University of Gothenburg
Design and AI
The progress of recent years in AI and machine learning has resulted in that we, today, live with a large number of applications in our everyday lives. What does that mean for the services we use? And how can we design new such applications? Just as one needs to have a basic understanding of the strength of differen…
- Higher education
- Information unavailable
- 5 November 2025
- Information unavailable
- Information unavailable
- 100 %
Overview
The progress of recent years in AI and machine learning has resulted in that we, today, live with a large number of applications in our everyday lives. What does that mean for the services we use? And how can we design new such applications? Just as one needs to have a basic understanding of the strength of different materials to design buildings, we need an understanding of the material properties of the algorithms behind these applications. The course is about learning about AI and machine learning as a design material, to be able to use these in design for new digital services. To do this, you will learn basic concepts and techniques in machine learning to be able to understand its material properties, and how they can be used in design. You will also learn various existing tools and how they can be used to apply machine learning in new services. After this, it is discussed how these material properties can be used in the development of new services, and various applications are critically examined. In the course, we discuss existing and new applications of machine learning, as well as ethical issues regarding the use of these techniques.
Admission scores
Entry requirements
English 6 / English B, or equivalent and 7.5 credits in programming in a general programming language, or equivalent.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2025-11-05
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.gu.tig330.87012.20252
- Last checked
- 2026-09-23T10:37:11.569557+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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- Programme or course starts
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.gu.tig330.87012.20252
- Offering identity in the source
- e.uoh.gu.tig330.87012.20252
- Education-form source code
- HS
- Education code in the source
- TIG330
- Change time according to the source
- 2025-08-29T12:28:09
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.