19D081TG - Graph Theory and Applications in Electrical Engineering and Computing

Course specification
Course title		Graph Theory and Applications in Electrical Engineering and Computing
Acronym		19D081TG
Study programme		Electrical Engineering and Computing
Module		Applied Mathematics
Type of study		doctoral studies
Lecturer (for classes)		professor PhD Marija Rašajski
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB		9.0	Status	elective
Condition		Mathematical education at the undergraduate level.
The goal		Acquiring knowledge of selected topics of graph theory necessary in research in modern discrete mathematics and its applications in computer science and electrical engineering.
The outcome		Students will be able to use methods of graph theory in research and applications in discrete mathematics, computer science and electrical engineering.
Contents
Contents of lectures		Introduction. Independent cycles and trees. Planarity. Coloring. Inner and outer stability. Eulerian and Hamiltonian graphs. Connectivity and transport networks. Matrices and spectra. Line graphs. Spectra of adjacency matrices. Applications in linear algebra. Groups and graphs.Applications of graph theory in electrical engineering and computer science.
Contents of exercises
Literature
D. Cvetkovic: Combinatorial matrix theory with applications in electrical engineering, chemistry and physics, Institute of Textbooks, Belgrade 2011 D. Cvetkovic: Graph theory and its applications, 5th edition, Scientific Book, Belgrade, 1990. M. Petrović, Z. Radosavljević: Spectrally constrained graphs, Faculty of Science, Kragujevac, 2001.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
8
Methods of teaching		Lectures.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures			Test paper	70
Practical lessons			Oral examination
Projects
Colloquia
Seminars		30