Design of AI systems
University of Gothenburg
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Pace of study: 50 %
Published education catalogue
Design of AI systems
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: DIT728
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.
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.
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.
Source and updates
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Last changed according to the source: 2026-01-12T09:41:07