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Fundamentals of Artificial Intelligence

  • Number of credits 7.5 credits
  • Level Bachelor's level
  • Starting Autumn Term 2023

About the course

The course provides a basic introduction to classical AI (artificial intelligence) as well as non-classical AI. It addresses fundamental conditions, problems and challenges for AI also from a philosophical perspective.

Topics covered:

  • Background and history of AI in outline.
  • Fundamental problems and challenges, e.g. - realism, brittleness, scalability, real-time requirements, the frame problem, the homunculus problem, the substrate problem, symbol grounding, common-sense knowledge and common-sense reasoning.
  • Fundamentals of search, e.g. problem, solution, state space, breadth-first, depth-first, heuristics, A*, local search and optimization.
  • Knowledge representation: logic as form of expression (syntax and semantics of propositional logic and first-order logic).
  • Agent paradigms: the hierarchical paradigm, the reactive paradigm, and the hybrid paradigm. Classical planning and execution.
  • Reactive agents, Braitenberg vehicles, subsumption architecture. Potential fields architecture.
  • The physical structure of robots.
  • Teleoperation and semi-autonomous robots.
  • Embodied cognition and situatedness.
  • Neural networks: background and fundamentals.
  • Artificial evolution, genetic algorithms - short introduction.
  • Multiple autonomous agents, swarm intelligence, stigmergy, emergence.
  • Learning - short introduction.

Application and eligibility

Fundamentals of Artificial Intelligence, 7.5 credits

Det finns inga tidigare terminer för kursen Autumn Term 2023 Det finns inga senare terminer för kursen


28 August 2023


30 October 2023

Study location




Type of studies

Daytime, 50%

Required Knowledge

To be admitted you must have 60 ECTS-credits in Computing Science/Cognitive Science or 2 years of completed studies, in both cases including a basic programming course consisting of at least 7.5 ECTS-credits (e.g. 5DV157, 5DV158, 5DV176, or 5DV177) and either at least 7.5 credits in Data Structures and Algorithms (e.g. 5DV149, or 5DV150) or at least 7.5 credits within Application Programming in Python (e.g. 5DA000) or equivalent.

Proficiency in English equivalent to Swedish upper secondary course English B/6. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.

Entry requirements


Academic credits Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.

Application code



Application deadline was 17 April 2023. The application period is closed.

Application and tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK 900

Tuition fee, first instalment

SEK 17,850

Total fee

SEK 17,850

Contact us

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Course is given by
Department of Computing Science