FPF:UINA170 Combinatorial algorithms - Course Information
UINA170 Combinatorial algorithms
Faculty of Philosophy and Science in OpavaWinter 2018
- Extent and Intensity
- 2/2/0. 4 credit(s). Type of Completion: zk (examination).
- Guaranteed by
- RNDr. Miroslav Langer, 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
- Computer Science and Technology (programme FPF, N1801 Inf)
- Course objectives
- The course follows and extends knowledge obtain in the Graph theory course. It focuses on the practical applications of the theoretical knowledge and on the programming techniques and on the working with graphs.
- Syllabus
- 1. Recall of the basic terms of the graph theory
2. Representation of the graphs in the computer, suitability of the representations
3. Basic methods of the searching the graphs, depth-first search, breadth-first search
4. Accessibility in the graph, vertices and edges connectedness of the graph, components of the graph
5. The length of the path of the graph
6. The graph skeletons
7. Finding the Eulers paths and cycles in the graphs, Eulers graphs, finding the Hammiltones paths and cycles
8. The flows in the nets
9. Paring in the bipartite and common graphs
10. Clique in the graph, finding the independent set of vertices, colouring of graphs
- 1. Recall of the basic terms of the graph theory
- Literature
- Teaching methods
- Interactive lecture
Lecture with a video analysis - Assessment methods
- Exam
- Language of instruction
- English
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
- Teacher's information
- Build up an application solving chosen graph algorithms
- Enrolment Statistics (Winter 2018, recent)
- Permalink: https://is.slu.cz/course/fpf/winter2018/UINA170