Course for international guest/part time students

Faculty
Faculty of Science
Organization
TTK Department of Computer Science
Code
algadt1u0um17gm
Title
Design, analysis and implementation of algorithms and data structures 1 (p)
Usual semester
Autumn
Published semester
2026/27/1
ECTS
3
Language
hu
Learning outcomes
Knowledge: getting familiar with the main notions of algorithms and data structures Ability: design, analysis and implementation of algorithms and data structures 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 in algorithms and data structures, the students are able to decide which tools are the most suitable to solve applied problems
Course content
Randomized algorithms, Kager and Stein min. cut algorithm. On-line algorithms, competitiveness ratio, the k-robot problem. Design of virtual private networks. Determinant calculation over a ring. Drawing planar graphs. Tree decomposition, tree-width and its applications. Megiddo's algorithms for parametric problems. Finding a pseudo-regular partition.
Assessment method
term grade

Programmes of the course

Title (code) Lang. Level Mandatory Year ...
Alkalmazott matematikus MSc - Számítástudomány szakirány (TTK-ALKMAT-SZÁMTUD-NMHU) hu 7
Applied Mathematician (TTK-ALKMAT-NMHU) hu 7 2/2
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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