Institute of Informatics

Systematic education in computer science was launched within the Mathematical Institute at the end of the 1950's by Professor László Kalmár. The Institute of Informatics was founded as an independent unit in 1990. From then number of departments grew. The main activities of the institute are the education and research of modern informatics and computer science knowledge. We have adapted the Bologna system but kept the original devotion to cutting edge research and quality teaching.

The Institute consists of five departments and a research group.

Department of Computational Optimization

http://www.inf.u-szeged.hu/tanszekek/alkalmazottinformatika/starten.xml

Department of Computer Algorithms and Artificial Intelligence

http://www.inf.u-szeged.hu/tanszekek/szamitogepesalgoritmusokesmi/starten.xml

Department of Foundations of Computer Science

http://www.inf.u-szeged.hu/tanszekek/szamitastudomanyalapjai/starten.xml

Department of Image Processing and Computer Graphics

http://www.inf.u-szeged.hu/ipcg/starten.xml

Department of Software Engineering

http://www.inf.u-szeged.hu/tanszekek/szoftverfejlesztes/starten.xml

Research Group on Artificial Intelligence of the Hungarian Academy of Sciences

http://rgai.inf.u-szeged.hu/?lang=en

These units cover large part of the research of modern Computer Science and teach in internationally recognized level.

Business Information Technology, BSc (Gazdaságinformatikus)

The normal duration of the program is 7 semesters. The program produces experts who are well versed in the information society, and are able to understand and solve the problems arising in real business processes. They can manage the information technology supporting the business needs, such as to improve on the knowledge base and business intelligence of companies, model the cooperation of info communication processes and technologies, control those processes, identify problems, and develop applications (and also maintain and monitor those quality). Moreover the graduates are equipped by the theoretical basics to continue their studies at MSc level.

 Engineering Information Technology, BSc (Mérnök Informatikus)

The normal duration of the program is 7 semesters. The goal of the program is to train computer experts with solid engineering skills. The graduates are expected to install and operate complex systems, especially in the information infrastructure area, and also to plan and develop the data and program system of such systems. This means skills both in hardware and advanced software technology, involving modeling, simulation, performance, reliability, configuration, trouble shooting, maintenance, and development of systems. They are also provided with appropriate basic knowledge to continue their studies at MSc level.

Software Information Technology, BSc (Programtervező Informatikus)

The normal duration of the program is 6 semesters. The graduates are supposed to have high skills in planning and development of company information systems using modern software tools. Furthermore, they are trained in the planning, development and operation of decision support systems, expert systems, and multimedia systems. The graduates also receive firm basis in Computer Science knowledge in order to have suitable knowledge to continue their studies at MSc level.

Business Information Technology, MSc (Gazdaságinformatikus)

The normal duration of the program is 4 semesters. The goal of the training is to produce experts who are able to understand complex business processes, to explore the arising problems and work out alternative solutions. They can recognize the surfacing demands that appear while using information systems supporting those processes. They are prepared to develop those and to manage ready-made applications. They possess the necessary skills to coordinate and conduct research and development, and to continue their studies at PhD level.

Software Information Technology, MSc (Programtervező Informatikus)

The normal duration of the program is 4 semesters. The goal of the training is to produce informatics/computer science experts who have firm theoretical basis, and they are able to expand their knowledge autonomously in a long run. They can work in teams or on their own, to develop, produce, apply, introduce, maintain, and to service information systems at high level. Furthermore, they possess the necessary cooperation and model making skill that are needed for solving of the informatics problems arising in their fields. They are also able to conduct research work, and to continue their studies at PhD level. There are six offered fields for specializations: Image Processing, Artificial Intelligence, Model Making for Informaticians, Operations Research, Computer Science, and Software Development.

Teacher of Informatics, MA (Informatikatanár)

The normal duration of the program is 4 or 5 semesters, depending on the number of certifications.

The program is based on the previous knowledge of the candidates acquired in BSc or MSc level in informatics. The goal of the training is to produce teachers, who can teach various subjects in informatics, and execute tasks arising at schools in connection of training and development of information and communication technology or research. Furthermore the program prepares the students to continue their studies at PhD level.

A formal doctoral program in Computer Science has been available since 1993. The aim of this program is to support graduate studies, leading to the degree of PhD in computer science.

The program was part of the Doctoral School in Mathematics and Computer Science of the Faculty of Science of the University of Szeged till the end of 2008. In 2009, the Doctoral School on Computer Science was founded. There are three main research areas in the School: Theoretical Computer Science, Operations Research and Combinatorial Optimization, and Applications of Computer Science. The possible research topics preferably, but not exclusively can be chosen among those parts of computer science and related areas, which are being investigated at the Institute of Informatics. The normal duration of the program is 6 semesters. Students are required to take entrance examinations for the admittance. The State of Hungary usually supports up to 6-7 new fellowships every year that is offered to Hungarian citizens. Foreign students are not entitled for that fellowship, their tuition and other expenses have to be supported from other sources.

The departments of the Institute conduct research in the following areas:

Department of Computational Optimization

Reliable computing, interval optimization, discrete optimization, PNS problems, extremal graph theory, combinatorial games, and history of mathematics.

Department of Image Processing and Computer Graphics

Image models based on random Markov fields, Parametric estimation of transformations, Higher order active contour models, Analysis of satellite pictures, Digital spatial models. Vectorization of scanned drawings, Computer-Aided surgery. Medical image analysis, Skeletonization by thinning, Image registration, and Discrete tomography.

Department of Foundations of Computer Science

Algebra and logics in computer science, Automata and formal languages. Tree-automata and tree-transducers. Term rewriting systems, and fixed points in computer science. Process algebras, Temporal logics. Structures in computer science: semirings and semi-modules, and categorical algebras.

Department of Computer Algorithms and Artificial Intelligence

Automata theory, Fuzzy theory, Bin packing, Meta heuristics, String matching, On-line algorithms, Machine Learning and Computational Learning Theory, Multi-Criteria Decision Making, Scheduling, Robotics, and Mechatronics.

Department of Software Engineering

Static and dynamic analysis of software systems. Slicing for imperative languages and logical programming. Reverse engineering. Open source software development. Linux file system and GCC compiler optimization. Embedded systems. Ad-Hoc networks. Process synthesis. Optimization problems arising in chemistry, biology and industry.

Research Group on Artificial Intelligence

Machine learning, Computational learning theory. Natural language procession, Language technology, Speech technology, Peer-to-peer algorithms and systems.