MSc Artificial Intelligence
What is intelligent behaviour? How can robots communicate with each other? How to design a system that negotiates? In this programme you will learn how to design and implement intelligent systems. Humans and animals are important sources of inspiration in this area.
The Master’s programme Artificial Intelligence (AI) focuses on the development of intelligent systems. The core topics in this master are autonomous perceptive systems, cognitive robotics and multi-agent systems.
Systems that can operate and carry out missions independently
Autonomous systems are systems that can operate and carry out missions independently, for example robots driving around on the moon taking samples and collecting information. Even in unpredictable surroundings these robots respond with a certain intelligence and take decisions about what to do. At the University of Groningen we concentrate on autonomous perceptive systems, i.e. robots that can find and read a sign in an unknown environment or systems that detect verbal aggression from the complex sounds of busy streets. While traditional AI focuses on cognition and reasoning as isolated abilties, we strongly believe in perception as an active behavior which is seamlessly integrated into general cognition.
Research in social robotics
Cognitive robotics is also an important part of this Master’s programme. The courses taught in this area are connected to research in social robotics, the origin of communication and recognizing movements of other robots. Research is conducted at the ALICE institute (Artificial Intelligence and Cognitive Engineering). A possible research topic is how to get one AIBO (robot dog) to recognize another AIBO.
Team of robots playing football
An example of a multi-agent system is a team of robots playing football. These robots have to communicate and cooperate with each other. When designing these types of systems, knowledge of thinking and acting of humans and animals is necessary. This is combined with techniques from computing science and logic.
There is a specific emphasis on the understanding of natural cognition. We want to explore and understand the behaviour of humans and animals by simulating it in robots and computer simulations. The emphasis here is on the more ‘complicated’ forms of cognition, like cooperation, communication, social interaction and predictive perception.
The Master’s programme Artificial Intelligence is a two-year programme and it is part of the School of Computing and Cognition. The programme consists of six compulsory core courses (30 ECTS), optional courses (45 ECTS) and a Master’s thesis (45 ECTS). You may choose to do one or two of the following specializations: Autonomous Perceptive Systems and Multi-Agent Systems. In the study programme there is a theoretical as well as an applied approach to these two themes.
- Machine Learning
- Advanced Research Methods
- Cognitive Robotics
- Multi-Agent Systems
Some optional courses:
- Language Modelling
- Self-Organization, Cognition and Social Systems
- Computer Vision
- Pattern Recognition
- Sound Recognition
Using the optional courses you can choose to specialize in one of the two main themes or choose your own specialization. Through the optional courses you decided whether to take a more theoretical approach or an applied approach. For your Master’s thesis you work on your own research project. The choice of subject is up to you. You can choose from a broad range of subjects. Examples are:
- Self-organization in groups of penguins
- Simulation of co-evolutions in robot crickets
- Modelling of crowds
- Strategy evolution in Diplomacy
Admissions Requirements for international students
- A Bachelor’s degree in Artificial Intelligence, Psychology or a relevant degree including the following subjects: Knowledge Systems, Autonomous Systems, Mathematics (discrete and continuous), Statistics, Logics (set theory, predicate logic and modal logic), and Computer Science (programming, data structures, search techniques, practical skills).
- The Admission Board may decide you need to take supplementary courses
- Proof of English proficiency is required (TOEFL 580/237/92, IELTS 6.5, Cambridge Certificate of Proficiency in English), with the exception of students whose native language is English
Duration: 24 months
Language: English (100%)
Start course: September 05, 2016
- EU/EEA students: May 01, 2016
- non-EU/EEA students: May 01, 2016
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