Design of AI systems

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. Applicants must prove knowledge of English: English 6/English level 2 or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

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 of AI systems

  University of Gothenburg

  GÖTEBORG

  Start date: 18 January 2027

  End date: 21 March 2027

  Pace of study: 50 %