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Machine Intelligence

Machine Intelligence

Machine Intelligence

Intelligent computer systems must be able to adapt to different situations or different users. Thus, for example, an intelligent information system must provide information and services that are personalised for an individual user; an intelligent computer game must be able to adapt its behavior according to the profile of the human player; an autonomous robot must adapt to new environments and unforeseen tasks. An important foundation for the design of such intelligent systems are techniques to work with incomplete information and unreliable inputs, and to automatically learn from experience and data.

The Machine Intelligence master's programme enables the students to design, implement and analyse intelligent systems. Particular emphasis is placed on probabilistic methods for intelligent decision making and learning, and on techniques for intelligent web-based systems. Courses provide the necessary foundation in Machine Intelligence as well as other core subjects for a graduate level computer science education. A significant part of the studies consists of projects conducted in small groups of students. A project will typically include more in-depth study of particular methods and techniques, and their practical application, e.g., in computer game design, intelligent web-based services, or data mining.

The programme is managed by the Machine Intelligence Group, an internationally recognised research group with core research areas in uncertainty in artificial intelligence, machine learning, and web intelligence.

Facts About the Programme

Language

English

City

Admission Requirements

See the Curriculum

Study Method at AAU - Problem Based Learning

Study Method at AAU - Problem Based Learning

The study method at AAU is called Problem Based Learning (PBL). Together with your fellow students you will work with real life problems by way of problem based project work.
 

learn more about Pbl at aau