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Design and AI

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: TIG330

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.

Entry requirements

English 6 / English B, or equivalent and 7.5 credits in programming in a general programming language, or equivalent.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

  • Design and AI

    University of Gothenburg

    Start date:

    End date:

    Pace of study: 100 %

Source and updates

Skolverket Susa-navet

Retrieved: .

Published: .

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2025-08-29T12:28:09