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Fundamentals of Artificial Intelligence

  • Number of credits 7.5 Credits
  • Level Bachelor's level
  • Starting Autumn Term 2021

Admitted to the course

Here you will find everything you need to know before the course starts.

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

Visa tillfällen för föregående termin Autumn Term 2021 Det finns inga senare terminer för kursen

Starts

30 August 2021

Ends

1 November 2021

Study location

Umeå

Language

English

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.

Selection

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

UMU-57203

Application

Application deadline was 15 April 2021. Please note: This second application round is intended only for EU/EEA/Swiss citizens. Submit a late application at Universityadmissions.se.

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
Contact persons for the course are:
Student's Office, Computing Science