Course details

Mathematical Structures in Computer Science

MAT Acad. year 2022/2023 Winter semester 5 credits

Current academic year

Course is not open in this year

Formal theories, propositional logic, predicate logic, universal algebra, algebraic structures with one and with two binary operations, topological and metric spaces, Banach and Hilbert spaces, undirected graphs, directed graphs and networks.


Course coordinator

Language of instruction

Czech, English


Examination (written)

Time span

  • 39 hrs lectures
  • 13 hrs exercises

Assessment points

  • 80 pts final exam
  • 20 pts mid-term test


Subject specific learning outcomes and competences

The students will improve their knowledge of the algebraic structures that are most often employed in informatics. These will be mathematical logic, algebra, functional alalysis and graph theory. This will enable them to better understand the theoretical foundations of informatics and also conduct research work in the field.

Learning objectives

The aim of the subject is to improve the students' knowlende of the basic mathematical structures that are often utilized in different branches of informatics. In addition to universal algebra and the classical algebraic structures, foundations will be discussed of the mathematical logic, the theory of Banach and Hilbert spaces, and the theory of both udirected and directed graphs.

Study literature

  • Birkhoff, G., MacLane, S.: Aplikovaná algebra, Alfa, Bratislava, 1981
  • Polimeni, A.D., Straight, H.J.: Foundations of Discrete Mathematics, Brooks/Cole Publ. Comp., Pacific Grove, 1990, ISBN 053412402X
  • Shoham, Y.: Reasoning about Change, MIT Press, Cambridge, 1988, ISBN 0262192691
  • Nerode, A., Shore, R.A.: Logic for Applications, Springer-Verlag, 1993, ISBN 0387941290
  • Cameron, P.J.: Sets, Logic and Categories, Springer-Verlag, 2000, ISBN 1852330562
  • Mendelson, E.: Introduction to Mathematical Logic, Chapman Hall, 1997, ISBN 0412808307

Syllabus of lectures

  1. Propositional logic, formulas and their truth, formal system of propositional logic, provability, completeness theorem. 
  2. Language of predicate logic (predicates, kvantifiers, terms, formulas) and its realization, truth and validity of formulas.
  3. Formal system of 1st order predicate logic, correctness, completeness and compactness theorems, prenex  form of formulas.
  4. Universal algebras and their basic types: groupoids, semigroups, monoids, groups, rings, integral domains, fields, lattices and Boolean lattices.
  5. Basic algebraic methods: subalgebras, homomorphisms and isomorphisms, congruences and direct products of algebras.
  6. Congruences on groups and rings, normal subgroups and ideals.
  7. Polynomial rings, divisibility in integral domains, Gauss and Eucledian rings.
  8. Field theory: minimal fields, extension of fields, finite fields. 
  9. Metric spaces, completeness, normed and Banach spaces.
  10. Unitar and Hilbert spaces, orthogonality, closed orthonormal systems and Fourier series.
  11. Trees and spanning trees, minimal spanning trees (the Kruskal's and Prim's algorithms), vertex and edge colouring.
  12. Directed graphs, directed Eulerian graphs, networks, the critical path problem (Dijkstra's and Floyd-Warshall's algorithms).
  13. Networks, flows and cuts in networks, maximal flow and minimal cut problems, circulation in networks.

Progress assessment

Middle-semester written test.

Course inclusion in study plans

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