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Design and AI

Course
TIG330
Bachelor’s level
15 credits (ECTS)
Study pace
100%
Time
Mixed time
Location
Location independent
Study form
Distance
Language
English
Duration
-
Application period
-
Application code
GU-18701
Tuition
Full education cost: 38 500 SEK
First payment: 38 500 SEK

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students.

More information about tuition fees

Cancelled

Study pace
100%
Time
Day
Location
Göteborg
Study form
Campus
Language
English
Duration
-
Application period
-
Application code
GU-18703
Tuition
Full education cost: 38 500 SEK
First payment: 38 500 SEK

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students.

More information about tuition fees

Application closed

About

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.

Prerequisites and selection

Entry requirements

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

Selection

Selection is based upon the number of credits from previous university studies, maximum 165 credits.