Artificial Intelligence and Integrated Computer Systems (AIICS)
The main focus of interest for the AIICS division is intelligent artifacts, that is, man-made physical systems containing computational equipment and software that provide them with capabilities for receiving and comprehending sensory data, for reasoning, and for rational action in their environment. Such artifacts range from PDAs to UAVs and mobile robots.
Research and teaching activities in AIICS currently include many sub-areas of artificial intelligence, both theoretical and applied logic, descriptive complexity, computer architecture, and formal modeling techniques used to model discrete and hybrid systems in areas such as computer architecture design and knowledge representation in A.I.
Database and Information Techniques (ADIT)
ADIT conducts research concerning principles, methods and tools for defining and constructing advanced database and information management systems tailored to present and future information technology. Important research areas are databases, information management, text and data mining, integration of data, secure e-services, software security, and incident prevention and response. ADIT has the responsibility for courses in the areas of databases, computer networks, security and media information systems.
Human-Centered Systems (HCS)
The research aim of this division is to study and improve the interaction between individuals, computer systems and information resources. Human characteristics and abilities form both point of departure and goal in this endeavour. Important areas of research are natural language interaction, knowledge based systems, computer support for learning, information management and introduction of new technology in organizations.
The division is responsible for courses in cognitive science, human-computer interaction, language technology and knowledge based systems.
Software and Systems (SaS)
The division for Software and Systems (SaS) deals with research and education in the following areas: Software Engineering, Programming Environments, Systems Software, Embedded SW/HW Systems, Computer Systems Engineering, Real-Time Systems and Theoretical Computer Science.
Statistics and Machine Learning (STIMA)
The Division of Statistics gives courses in statistics mainly by direction of the Faculty of Arts and Science at Linköpings universitet, but also some courses within the technology programmes. We provide education for the Statistics and Data Analysis Programme and give single subject courses in statistics. Statistics research at Linköpings universitet has a strong emphasis on applications. Much of the research is conducted as collaborative efforts with end-users and organizations outside the academic world.
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Last updated: 2020-01-15