FI:MA052 Advanced Graph Theory II - Course Information
MA052 Advanced Graph Theory II
Faculty of InformaticsSpring 2009
- Extent and Intensity
- 2/1. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
- Teacher(s)
- prof. RNDr. Petr Hliněný, Ph.D. (lecturer)
RNDr. Robert Ganian, Ph.D. (assistant) - Guaranteed by
- prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Contact Person: prof. RNDr. Petr Hliněný, Ph.D. - Timetable
- Thu 14:00–16:50 B411
- Prerequisites
- Graph theory MA010. Some knowledge of algorithmic complexity and of predicate logic is welcome.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 30 student(s).
Current registration and enrolment status: enrolled: 0/30, only registered: 0/30, only registered with preference (fields directly associated with the programme): 0/30 - fields of study / plans the course is directly associated with
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, M-IN)
- Informatics (programme FI, N-IN)
- Mathematical Informatics (programme FI, B-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- Structural graph theory is gaining more and more attention these days, mainly in connection with the Graph Minor Theory of Robertson and Seymour (which is one of the deepest results of discrete mathematics of all times). For instance, the theory implies existence of polynomial algorithms for many graph problems, sometimes even when it is not clear whether a problem is solvable at all.
The purpose of this subject is to introduce students to the area of structural graph theory and its applications.
Basic principles underlying this theory and algorithmic applications are surveyed. A prominent role is given to "width" parameters of graphs, like tree-width or branch-width.
In the course student shall learn about some cutting-edge recent development in graph theory. - Syllabus
- Repetition of basic graph terms.
- Connectivity on graphs, different measures. Menger's theorem. Linking, submodular functions.
- Width decompositions and measures: tree-width, branch-width. Algorithmic applications.
- Minors and their basic properties, well-quasi-ordering, WQO on trees.
- Planar graphs, drawing on surfaces, forbidden minors.
- The Graph Minor Theorem, an outline.
- Advanced width measures: clique-width, rank-width.
- MS2- and MS1-theorems.
- Literature
- DIESTEL, Reinhard. Graph theory. New York: Springer, 1998, xiv, 286. ISBN 0387982108. info
- Assessment methods
- This is an advanced course, taught in English, and conducted quite informally (seminar-type). Evaluation by a written individual homework assignment (one), and a subsequent oral exam.
- Language of instruction
- English
- Follow-Up Courses
- Further comments (probably available only in Czech)
- The course is taught once in two years.
- Teacher's information
- http://www.fi.muni.cz/~hlineny/Teaching/AGTS.html
- Enrolment Statistics (Spring 2009, recent)
- Permalink: https://is.muni.cz/course/fi/spring2009/MA052