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Trends in interactive intelligent environments

  • Number of credits 7.5 credits
  • Level Master’s level
  • Starting Spring Term 2024

About the course

The theoretical module covers theories and methods in Artificial Intelligence (AI) and Human-Computer Interaction (HCI) for designing and constructing intelligent interactive systems and environments. Parts of the module are applied in the practical module, which consists mainly of a project that is conducted individually or in group.

Emergent trends in AI aim to combine different fundamental theories and methods within the AI field and across disciplines such as cognitive science and social science to solve societal challenges, and to build new more advanced AI. This course focuses on such trends in interactive intelligent environments that include people and AI-based systems, and where intelligent systems and people pursuing different goals are expected to collaborate. This advanced level course takes a research perspective on theories and methods for interactive intelligent environments, which is done from the perspective of solving societal challenges.

The student will deepen her/his knowledge about state-of-the-art in AI topics such as knowledge representation and reasoning, machine learning, natural language processing, multiagent systems and agent societies, computational social norms, ethical AI, and gain knowledge in how these methods and theories can be combined to achieve AI useful for human-AI collaboration in interactive intelligent environments. Moreover, the student will also gain knowledge about theories about human activity that provide frameworks for human-AI collaboration, user modelling, user adaptation and personalisation in e.g., persuasive technology, decision-support systems and digital assistants.

The student is encouraged to engage with a research group during the course, and target particular challenging and unsolved issues relating to interactive intelligent environments.

Application and eligibility

Trends in interactive intelligent environments, 7.5 credits

Det finns inga tidigare terminer för kursen Spring Term 2024 Det finns inga senare terminer för kursen

Starts

20 March 2024

Ends

2 June 2024

Study location

Umeå

Language

English

Type of studies

Daytime, 50%

Required Knowledge

At least 90 ECTS, including 60 ECTS Computing Science, or 120 ECTS within a study programme. At least 15 ECTS programming; 7.5 ECTS logic; 7.5 ECTS human-computer interaction; 7.5 ECTS artificial intelligence; and the course "Artificial intelligence - methods and applications", or similar. Proficiency in English equivalent to the level required for basic eligibility for higher studies.

Entry requirements

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-57310

Application

Application deadline was 16 October 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