This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
University of Gothenburg
Design of AI systems
The course teaches design of AI systems in several different ways: - Reading of papers and lectures describing different AI systems and their design (eg.Alpha Zero, Watson, systems for self-driving cars,...) - Opportunities to see and try out the implementation of different simpler AI systems. - Own problem solvin…
- Higher education
- Information unavailable
- 19 January 2026
- Information unavailable
- Information unavailable
- 50 %
Overview
The course teaches design of AI systems in several different ways: - Reading of papers and lectures describing different AI systems and their design (eg.Alpha Zero, Watson, systems for self-driving cars,...) - Opportunities to see and try out the implementation of different simpler AI systems. - Own problem solving in the form of design and implementation of simpler AI systems. - Discussions about possibilities and limitations of AI, ethics and societal impact.
Admission scores
Entry requirements
The student must have successfully completed courses in: - 7,5 hec mathematical thinking (DIT025 or DIT856 or equivalent) or a course in basic mathematics (containing e.g. calculus, linear algebra, discrete mathematics) - 7,5 hec mathematical statistics (e.g. MSG810 or DIT862 or similar) - 7,5 hec programming in a general-purpose language (e.g. Python/Java/C or similar), - An introductory course in Data Science and/or AI, for examPle DIT852 or DIT405 or equivalent. We strongly recommend to also take a course in Machine learning, for example DIT866or similar, or that such a course is taken in parallel alongside this course.
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
- 2026-01-19
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.gu.dit728.86007.20261
- Last checked
- 2026-09-23T10:36:42.164498+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
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.dit728.86007.20261
- Offering identity in the source
- e.uoh.gu.dit728.86007.20261
- Education-form source code
- HS
- Education code in the source
- DIT728
- Change time according to the source
- 2026-01-12T09:41:07
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.