Course for international guest/part time students

Faculty
Faculty of Science
Organization
TTK Department of Computer Science
Code
dimate1u0um17gm
Title
Discrete mathematics (p)
Usual semester
Autumn
ECTS
3
Language
en
Learning outcomes
Knowledge: getting familiar with the main notions of discrete mathematics Ability: to apply the learned algorithms for solving complex problems Attitude: the need to deepen the applied mathematical knowledge, to gain new applied mathematical skills, to develop competencies. Aspiration to apply the mathematical knowledge for a wide range of problems Autonomy and Responsibility: based on the gained knowledge within discrete mathematics, the students are able to decide which tools are the most suitable to solve applied problems
Course content
Graph theory: colorings of graphs and hypergraphs. Matching Theory. Connectivity. Strongly regular graphs, the integrality condition and its applications. Block systems. Finite fields, error-correcting codes, perfect codes. Extremal graphs, Bondy-Simonovits theorem. Regularity lemma. Planarity, Kuratowski's theorem, drawing graphs on surfaces, minors, Robertson-Seymour theory. Generator functions, inversion formulas on partially ordered sets, recursions. Classical enumeration problems on graphs, number of spanning trees. Probabilistic methods, expected value method. Random graphs. Applications of fields: the linear algebraic method. Combinatorial Nullstellensatz
Assessment method
term grade
Bibliography
lecture notes

Programmes of the course

Title (code) Lang. Level Mandatory Year ...
Applied Mathematician (TTK-ALKMAT-NMHU) hu 7 1/2
Applied Mathematician (TTK-ALKMAT-NMEN) en 7 1/2
Erasmus Programme (TTK-ERASMUS-NXXX) en Mandatory
Mathematician (TTK-MATEMAT-NMHU) hu 7 1/2
Mathematician (TTK-MATEMAT-NMEN) en 7 1/2
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