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Combinatorics for bioinformatics

Class at Faculty of Mathematics and Physics |
NDMI089

Syllabus

Basic notions, binary relations, equivalences and partially ordered sets.

Functions and their properties, permutations.

Combinatorial counting, Binomial theorem.

Principle of inclusion and exclusion and its applications.

Discrete probability.

Graphs - notions and examples. Paths and circuits in graphs, connectivity.

Trees, spanning trees of graphs.

Planar graphs, Euler's formula, max. number of edges.

Graph colorings, d-degenerate graphs. Five color theorem for planar graphs.

Eulerian graphs.

Higher connectivity, Menger's and Ford-Fulkerson's theorems.

Annotation

An introductionary course on combinatorics and graph theory for students of bioinfomatics.