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Fundamentals of Artificial Intelligence

  • Number of credits 7.5 Credits
  • Level Bachelor's level
  • Starting Autumn Term 2018

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 - 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: 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 predicate logic).
Agent paradigms: the hierarchical paradigm, the reactive paradigm, and the hybrid paradigm. Classical planning and execution, STRIPS, Shakey. 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 hp

Det finns inga tidigare terminer för kursen Autumn Term 2018 Det finns inga senare terminer för kursen


Lectures begin on week starting 3 September 2018


Lectures end during the week of 5 November 2018

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 (e.g. 5DV104, 5DV105, 5DV106 eller 5DV114) and either Data Structures and Algorithms (5DV108, 5DV127 eller 5DV128) or Application Programming in Python (5DA000) or equivalent.

Proficiency in English equivalent to Swedish upper secondary course English A (IELTS (Academic) with a minimum overall score of 5.5 and no individual score below 5.0. TOEFL PBT (Paper-based Test) with a minimum total score of 530 and a minimum TWE score of 4. TOEFL iBT (Internet-based Test) with a minimum total score of 72 and a minimum score of 17 on the Writing Section).
Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.


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 16 April 2018. 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


Tuition fee, first instalment


Total fee


Contact us

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Course is given by
Department of computing science
Contact person for the course is:
Student Office at computing science