MA316      Half Unit
Graph Theory

This information is for the 2023/24 session.

Teacher responsible

Prof Graham Brightwell

Availability

This course is available on the BSc in Data Science, BSc in Mathematics and Economics, BSc in Mathematics with Data Science, BSc in Mathematics with Economics and BSc in Mathematics, Statistics and Business. This course is available as an outside option to students on other programmes where regulations permit. This course is available with permission to General Course students.

Pre-requisites

MA103 or equivalent course giving a background in rigorous mathematics.

Course content

This course examines the basic concepts and techniques of graph theory. The topics to be covered are: fundamental concepts, connectivity and matchings, colourings, extremal problems, Ramsey theory, the probabilistic method.

Teaching

20 hours of lectures and 10 hours of classes in the WT. 1 hour of lectures in the ST.

This course is taught through a combination of classes and lectures totalling a minimum of 30 hours in Winter Term. 

Formative coursework

Written answers to set problems will be expected on a weekly basis.

Indicative reading

D. B. West, Introduction to Graph Theory, Prentice Hall 2001

R. Diestel, Graph Theory, Springer 2010.


N. L. Biggs, Discrete Mathematics, OUP 2004

J.A.Bondy and U.S.R. Murty, Graph Theory with Applications, North-Holland, 1976

B. Bollobas, Modern Graph Theory, Springer 1998.

Assessment

Exam (90%, duration: 2 hours) in the spring exam period.
Coursework (10%) in the WT.

Key facts

Department: Mathematics

Total students 2022/23: 11

Average class size 2022/23: 12

Capped 2022/23: No

Lecture capture used 2022/23: Yes (LT)

Value: Half Unit

Guidelines for interpreting course guide information

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Personal development skills

  • Self-management
  • Problem solving
  • Application of information skills
  • Communication
  • Application of numeracy skills
  • Specialist skills