IN9490 – Advanced Topics in Artificial Intelligence for Intelligent Systems

Course content

The course covers various methods within artificial intelligence (AI) and machine learning (ML), and their applications. Examples include algorithms for search, optimization and classification, which to a large extent consist of bio-inspired approaches. Examples of relevant applications include robotics, music, and health and medicine. The course syllabus will continuously be updated with methods from state-of-the-art research. The content is based on presentations from ROBIN group staff, the course participants and invited guests, and will vary depending on who is involved. Students will explore the scientific literature on a selected topic of their interest and proceed to own implementation and conducting thorough experiments under supervision of a ROBIN staff member. The experiments will be disseminated through writing a scientific paper and giving presentations.?

Learning outcome

After taking the course, you will:

  • have insight into novel methods (within e.g. evolutionary computation, neural networks, swarm intelligence) used in artificial intelligence (AI) and machine learning (ML)
  • have knowledge about how to use AI and M