FPF:UIN1004 Graph Theory I - Course Information
UIN1004 Graph Theory I
Faculty of Philosophy and Science in OpavaWinter 2020
- Extent and Intensity
- 2/2/0. 6 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. RNDr. Luděk Cienciala, Ph.D. (lecturer)
doc. RNDr. Luděk Cienciala, Ph.D. (seminar tutor)
Mgr. Jan Drastik, Ph.D. (seminar tutor)
Mgr. Martina Foldynová (seminar tutor)
Mgr. Adam Kožaný (seminar tutor)
Mgr. Marek Menšík, Ph.D. (seminar tutor)
RNDr. Michal Perdek (seminar tutor)
RNDr. Dušan Kajzar, Ph.D. (seminar tutor) - Guaranteed by
- doc. RNDr. Luděk Cienciala, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava - Timetable
- Mon 8:05–9:40 B1
- Timetable of Seminar Groups:
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Applied Mathematics (programme MU, B1101)
- Applied Mathematics in Risk Management (programme MU, B1101)
- Mathematical Methods in Economics (programme MU, B1101)
- Mathematics (programme MU, B1101)
- Course objectives
- In this course students learn the basic concepts of the proving techniques and possible applications of graph theory.
- Syllabus
- 1. Graphs and simple graphs, vertex degree.
2. Subgraphs, graph representation by matrices, paths, cycles, connected and unconnected graphs.
3. Trees.
4. Special families of graphs - complete graphs, bipartite and multi-partite graphs, isomorphism and automorphism.
5. Matching and covering, edge coloring, matching and covering in bipartite graphs, the algorithm of seeking unsaturated alternating paths.
6. Vertex coloring, planar graphs.
7. The four-colour problem, non/planar graphs, Euler graphs, maze-like tasks - Tarry's algorithm algorithm of Trémaux.
8. Hamilton graphs.
9. Directed graphs, tournaments , networks, flows and cuts.
10.Algorithm to find the minimum spanning tree, Prim's algorithm , Kruskal's algorithm , General scheme of graph search.
11.Bread-First search, Depth-First search, Backtracking.
- 1. Graphs and simple graphs, vertex degree.
- Literature
- recommended literature
- Cienciala, L., Ciencialová, L. Teorie grafů a grafové algoritmy. Slezská univerzita v Opavě, 2014. ISBN 978-80-7510-060-3. info
- Even, S., Even, G. Graph algorithms, 2nd edition. New York Cambridge University Press, 2012. ISBN 978-0-521-51718-8. info
- Bondy, A., Murty, U. S. R. Graph Theory. Springer, 2011. info
- Merris, R. Graph Theory. New York : John Wiley, 2001. ISBN 0-471-38925-0. info
- Fronček, D. Úvod do teorie grafů. Opava, FPF SU, 2000. info
- Bollobas, B. Modern Graph Theory. New York, Springer, 1998. info
- Diestel, R. Graph Theory. New York, Springer, 1997. info
- Demel, J. Grafy. Praha, SNTL, 1988. info
- Kolář, J. Grafy. Praha, ČVUT, 1984. info
- Kolář, J. Grafy - cvičení. Praha, ČVUT, 1984. info
- Bosák, J. Grafy a ich aplikácie. Bratislava, Alfa, 1980. info
- Behzad, M., Chartrand, G. Graphs and Digraphs. Weber, Schmidt, 1979. info
- Bondy, J. A. Graph Theory with Applications. The Macmillan Press, 1976. info
- Teaching methods
- Interactive lecture
Lecture with a video analysis - Assessment methods
- Exam
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course can also be completed outside the examination period. - Teacher's information
- Total of examination exam can earn 60 points. For the successful completion students need to get 30 points.
- Enrolment Statistics (Winter 2020, recent)
- Permalink: https://is.slu.cz/course/fpf/winter2020/UIN1004