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.
Trends in interactive intelligent environments, 7.5 credits
Spring Term 2024
The information below is only for exchange students
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.
Selection
Students applying for courses within a double degree exchange agreement, within the departments own agreements will be given first priority. Then will - in turn - candidates within the departments own agreements, faculty agreements, central exchange agreements and other departmental agreements be selected.
Application code
UMU-A5732
Application
This application round is only intended for nominated exchange students. Information about deadlines can be found in the e-mail instruction that nominated students receive.
The application period is closed.