Course: Graph Theory

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Course title Graph Theory
Course code KAM/ITEGR
Organizational form of instruction Lecture + Tutorial
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Rak Josef, RNDr. Ph.D.
Course content
Motivation, Operational Research - Definition, Basic Mathematical Apparatus, Historical Remarks, Classification of Disciplines, the Role of the Theory of Graphs, Key Problems and Authors. Basic Definitions, Classification of Graphs, Operations with Graphs, Graphs and their Mathematical Representation. Undirected and Directed Graphs. Common and Different Features. Connected Graphs, Chains, Routes and Paths. Labyrinth, Theseus, Ariadne and Minotaurus Story. Important Paths in Graphs, the Shortest Path Problem. Maximum Capacity Path, Maximum Reliability Path. Maximum path, Networks Analysis. Critical Path Method (CPM). Programme Evaluation Research Task (PERT). Graphs and Flows, the Max-Flow Problem, Ford-Fulkerson Theorem, Transportation Problem. Location Analysis, Continuous and Discrete Location, Location in Transportation Networks. Euler and Hamiltonian Cycles. Fleury's and Edmond's algorithms. Travel Salesman's Problem, Little Algorithm. Planar Graphs, Kuratowski Theorem, Colouring Graphs. Trees, Skeleton of Graph.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Demonstration, Projection, Skills training
Learning outcomes
The main goal of discipline is to familiarise students with the basic mathematical apparatus and terminology of Theory of Graphs as one of the basic disciplines of operational research, acquaint with approaches and clarify methods and their applications in transportation, communication and information systems.
Successful pasing of the subject means that student mastered fundamental definitions, methods and algorithmus of Graphs Theory.
Prerequisites
The basics of finite mathematics, set theory and mathematic programming are presumed.

Assessment methods and criteria
Oral examination, Written examination

The condition for granting the credit is active participation in the exercises and passing the credit test. The course ends with an exam. Active participation can be replaced by elaboration of individual work. Credit test can be done electronically.
Recommended literature
  • Demel, Jiří. Grafy a jejich aplikace. Praha: Academia, 2002. ISBN 80-200-0990-6.
  • Nečas, Jiří. Grafy a jejich použití. Praha: Státní nakladatelství technické literatury, 1978.
  • Nešetřil, Jaroslav. Teorie grafů. Praha: Státní nakladatelství technické literatury, 1979.
  • Sedláček, Jiří. Kombinatorika v teorii a praxi : úvod do teorie grafů. Praha: Československá akademie věd, 1964.
  • V. Balakrishnan. Schaum's Outline of Graph Theory: Including Hundreds of Solved Problems.
  • Volek, Josef. Operační výzkum I. Pardubice: Univerzita Pardubice, 2002. ISBN 80-7194-410-6.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester