Design of AI systems
University of Gothenburg
Startdatum:
Slutdatum:
Studietakt: 50 %
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Design of AI systems
Utbildningsinformation från den publicerade källan. Utbildningen och dess tidsbundna tillfällen hålls åtskilda.
Utbildningsfakta
Kod: 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.
Behörighet
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.
Utbildningstillfällen
Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.
Källa och uppdatering
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Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d
Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Senast ändrad enligt källan: 2026-01-12T09:41:07