FPF:UIN1004 Graph Theory I - Course Information
UIN1004 Graph Theory I
Faculty of Philosophy and Science in OpavaWinter 2015
- 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) - Guaranteed by
- doc. RNDr. Luděk Cienciala, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava - 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 Computer Science (programme FPF, B1802 AplI)
- Applied Mathematics (programme MU, B1101)
- Applied Mathematics in Risk Management (programme MU, B1101)
- Computer Science and Technology (programme FPF, B1801 Inf)
- Mathematical Analysis (programme MU, M1101)
- 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. Graph and simple graphs.
2. Subgraphs, matrix representation of graphs, paths, cycles, availability, continuity, continuous and discontinuous graphs, distance in graphs, node eccentricity, diameter and radius of the graph.
3. Trees.
4. Other classes of graphs - complete graphs, bipartite and multi-partitní graphs, isomorphism, automorphism. Node, arc connection, blocks.
5. Pairing, coverage, edge graph coloring, matching and coverage in bipartite graphs, algorithms searching for unsaturated alternating paths.
6. graph coloring, planar graphs.
7. Issue 4 colors, Nonplanar, Euler graphs, tasks such as maze - Tarry's algorithm Trémauxův algorithm.
8. Hamiltonian graphs, directed graphs.
9. Directed graphs, tournaments, networks, flows and cuts.
10. Algorithm to find the minimum spanning tree, Prim's algorithm, Kruskal, General scheme of graph search - marking peaks.
11. breadth-first search, depth-first search, backtracking.
- 1. Graph and simple graphs.
- Literature
- recommended literature
- 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)
- The course can also be completed outside the examination period.
- Teacher's information
- Credit: full-time students wrote the exercises two credit tests scoring 20 points each.
Exam: Total of examination exam can earn 60 points. For the successful completion students need to get 30 points. Mark for full-time study is determined by adding the points for the exam and points that the student earned during the semester in the course. Mark the combined study is determined from the points gained from examination test.
- Enrolment Statistics (Winter 2015, recent)
- Permalink: https://is.slu.cz/course/fpf/winter2015/UIN1004