# 2019/20 Undergraduate Module Catalogue

## MATH3033 Graph Theory

### 15 creditsClass Size: 110

**Module manager:** Dr Nicola Gambino**Email:** N.Gambino@leeds.ac.uk

**Taught:** Semester 1 View Timetable

**Year running** 2019/20

### Pre-requisite qualifications

(MATH2210 or MATH2230) or COMP2721 or COMP2941, or equivalent.### This module is mutually exclusive with

MATH5033M | Advanced Graph Theory |

**This module is not approved as a discovery module**

### Module summary

This module provides an introduction to the basic ideas such as connectedness, trees, planar graphs, Eulerian and Hamiltoniangraphs, directed graphs and the connection between graph theory and the four colour problem.Graph theory is an important mathematical tool in such different areas as linguistics, chemistry and, especially, operational research. This module will include some abstract proofs.### Objectives

To introduce students to some of the main concepts and modeling usefulness of graph theory, and to develop their ability to reason graph theoretically.On completion of this module, students should be able to:

(a) identify basic examples of isomorphic and non-isomorphic pairs of graphs, and make simple deductions involving vertex degrees, connectedness and bipartite graphs;

(b) apply a selection of criteria related to Eulerian and Hamiltonian graphs;

(c) explain and apply the basic theorems for trees, planar graphs and directed graphs;

(d) Understand and apply basic graph theoretic search algorithms, for example to find the block graph of a graph;

(e) show a knowledge of graph colourings of various types, and apply a range of techniques for identifying chromatic numbers for graphs and surfaces.

### Syllabus

Topics chosen from:

1. Basic definitions. Connected graphs, vertex degrees, bipartite graphs.

2. Adjacency matrices, strongly regular graphs, Friendship Theorem.

3. Eulerian graphs and applications.

4. Hamiltonian graphs, including Dirac's theorem and techniques for identifying non-Hamiltonian graphs.

5. Trees (Cayley's Theorem), line graphs. Multiple connectivity and block graphs.

6. Planar graphs. Euler's theorem, Kuratowski's theorem (without proof).

7. Digraphs, strong connectedness. Robbins' Theorem. Eulerian digraphs. Hamiltonian and semi-Hamiltonian tournaments and Moon's Theorem.

8. Breadth-first-search and depth-first-search algorithms in graphs; finding cut-vertices and blocks.

9. Graph colourings. The five-colour theorem for planar graphs, the four-colour theorem for planar graphs (without proof). Brook's Theorem. Edge colourings, Tait colourings.

10. Chromatic numbers of surfaces, applications of the Euler characteristic, Heawood's inequality and the Map Colour Theorem.

### Teaching methods

Delivery type | Number | Length hours | Student hours |

Lecture | 33 | 1.00 | 33.00 |

Private study hours | 117.00 | ||

Total Contact hours | 33.00 | ||

Total hours (100hr per 10 credits) | 150.00 |

### Private study

There will be two weekly office hours for students to get additional help, depending on their needs.### Opportunities for Formative Feedback

Regular problem solving assignments### Methods of assessment

**Exams**

Exam type | Exam duration | % of formal assessment |

Standard exam (closed essays, MCQs etc) | 2 hr 30 mins | 100.00 |

Total percentage (Assessment Exams) | 100.00 |

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

### Reading list

The reading list is available from the Library websiteLast updated: 20/05/2019

## Browse Other Catalogues

- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue

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