Research in discrete mathematics, in the mathematical foundation of computer science, number theory, information and coding theory, in data mining.
Their applications in engineering, in economics and in the development of cutting edge computer technologies.
Our research is supported by the Hungarian National Research Fund.
The results of the research can be found in the publications of the members of the department, listed below.
Publications by 
Research Areas 
data mining, machine learning, time series 

combinatorics, graph theory 

formal languages, bioinformatics 

graph theory, game theory, combinatorial optimization, stable matchings 

theory of algorithms and complexity, quantum algorithms 

stochastic approximation, pattern classification, nonparametric density, regression and entropy estimation, prediction of time series, multiple access communication, source coding, empirical portfolio selection 

graph theory, hypergraphs, toughness, matchings, algorithms 

mathematical statistics, SPSS, probability theory 

optimisation in computing, complexity, theory of algorithms 

group theory, number theory, combinatorics 

probability theory, mathematical statistics 

graph theory, combinatorial optimisation, matroids, VLSI 

extremal set systems, theory of databases, graph theory 

graph theory, information theory, colourings of graphs, graph capacities 

parametric complexity, theory of algorithms and complexity 

declarative programming, logic programming, constraints, Prolog,semantic technologies: semantic web, semantic integration,parallelism, parallel logic programming, implementation of programming languages 

graph theory, combinatorial optimisation, VLSI 

combinatorial geometry 

combinatorics, especially combinatorial search, graph theory, hypergraphs 
Academic 
Lecturers 
PhD students 
Administration 
IT 
BsC 
MsC 
OTKA 