Intelligent Interactive Systems
Course, Master's level, 1MD032
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
120 credits including 15 credits in mathematics and 60 credits in computer science/information systems, including 20 credits in programming/algorithms/data structures. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 April 2026
- Application code
- UU-11619
Admitted or on the waiting list?
- Registration period
- 19 October 2026–8 November 2026
- Information on registration from the department
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
120 credits including 15 credits in mathematics and 60 credits in computer science/information systems, including 20 credits in programming/algorithms/data structures. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 19 October 2026–8 November 2026
- Information on registration from the department
About the course
Intelligent machines (e.g., robots, virtual agents, user interfaces, smartphones etc.) are increasingly being used to support humans in everyday tasks. This requires them to be able to interact in a safe and social manner with humans in challenging, complex natural environments and to adapt to humans in an intelligent way.
This course will provide an overview of computational techniques for intelligent, embodied interactive systems, including approaches for perception (e.g., vision and other modalities of perception), learning and interaction abilities. The course will involve computer vision techniques, behaviour generation/control and machine learning-based approaches that can be used to analyse and adapt to humans interacting with embodied machines.
Reading list
No reading list found.