Bachelor
2024/2025
Applied Graph Theory
Type:
Elective course (Applied Mathematics and Information Science)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
School of Data Analysis and Artificial Intelligence
Where:
Faculty of Computer Science
When:
4 year, 2 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Тhomas Clement Fernique
Language:
English
ECTS credits:
5
Contact hours:
60
Course Syllabus
Abstract
Bondy and Murty open the first chapter of their book Graph Theory with the following sentence: “Many real-world situations can conveniently be described by means of a diagram consisting of a set of points together with lines joining certain pairs of these points.” This diagram is nothing but a representation of what is called a graph. Whether it is for logistics, optimization of processes, network analysis, communication methods or bioinformatics, most of applied mathematics make use of graph theory. In this course, we familiarize ourselves with these objects in their diversity (simple graphs, directed graphs, hypergraphs) and with the standard methods to solve standard problems as: shortest path, maximum flow/minimum cut, connectivity... We illustrate most of these staple problems with applications to real life situations.