Department of Computer Science

It is the department’s ambition to be internationally recognised as a leader in computer science - a department with coherent activities within research, education, development and industry cooperation. The research in the department is focused on computers and programming as well as software- and computer systems. The department's research approach ranges from formal logic, over experimental construction to empirical description. The department offers a broad range of educational programmes within computer science at both undergraduate and postgraduate levels as well as continued professional development.

PHD PROGRAMMES IN COMPUTER SCIENCE AND ENGINEERING The programme covers research on software, use and performance of software, as well as information and data. In particular there is research in use of software in organisations, software engineering, management of software engineering, human-computer interaction, programming and languages, data management, data analysis and data mining, techniques for decision support, machine learning, autonomous agents, networks and protocols, embedded software, techniques and models for distributed and parallel software, and software testing. The research approach is fundamentally constructive and embraces analytical mathematical research, experimental research with algorithms, systems, techniques and methodologies, as well as analytical empirical research.

Continuing education is open to graduates who have already completed an education and want to develop their competencies further by participating in a university part-time masters programme. At the department of computer science we offer a wide range of programmes in all major areas of ICT.

Our research subjects are software, use and performance of software as well as information and data. In particular, research is carried out in use of software in organisations, software engineering, management of software engineering, human-computer interaction, programming and languages, data management, data analysis and data mining, techniques for decision support, machine learning, autonomous agents, networks and protocols, techniques and models for distributed and parallel software and tests.