Artificial Intelligence - Methods and Applications 7.5 credits

About the course

Modern intelligent systems are transforming the daily life of society. These kind of systems are designed and implemented considering Artificial Intelligent (AI) models and algorithms. This course aims to present different AI theories and algorithms in order to give a solid background in the area, as well as practical knowledge about how to implement real intelligent systems. The main theme of the course is theories and algorithms from classical AI. During the course, the students will acquire knowledge about different paradigms of AI, e.g. logic-based and data-driven methods as well as rational intelligent agents.

The course consists of two parts:
Part 1, theory, 4.5 credits
Topics covered:

Search algorithms, e.g., adversarial search and games.
Answer Set Programming (ASP), e.g., stable models, optimization modelling.
Knowledge representation, e.g., description logics.
Probability theory, e.g., axioms, conditional probability, Bayes' rule.
Probabilistic reasoning, e.g., Bayesian networks.
Probabilistic reasoning over time, e.g., hidden markov models.
Sequential decision making, e.g., markov decision processes, stochastic planning.
Reinforcement learning.
Agent architectures, e.g., BDI agents.
Multi-criteria decision-making, e.g., utility functions, evaluation of alternatives, pareto-optimality.

Part 2, practice, 3 credits.
In the laboratory part some of the theories and techniques discussed in the theoretical part are put into practice.

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Autumn 2025
- Artificial Intelligence - Methods and Applications
  
  Autumn 2025 / Umeå / English / On site
  
  Submit a late application
  
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  Starts
  3 November 2025
  
  Ends
  18 January 2026
  
  Number of credits
  7.5 credits
  
  Type of studies
  On site
  
  Study pace
  50%
  
  Teaching hours
  Daytime
  
  Study location
  Umeå
  
  Language
  English
  
  Application code
  UMU-57219
  
  Eligibility At least 90 ECTS, including 60 ECTS Computing Science, or at least 120 ECTS within a study programme. At least 7.5 ECTS data structures and algorithms; 7.5 ECTS artificial intelligence; 7.5 ECTS discrete mathematics; and 7.5 ECTS logics. Proficiency in English equivalent to the level required for basic eligibility for higher studies.
  
  Selection
  Academic credits
  
  Application
  Application deadline was 15 April 2025. 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 19,038
  
  Total fee: SEK 19,038
  
  Details about tuition, fees and funding

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