Prof Graham Brightwell

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.

MA103 or equivalent course giving a background in rigorous mathematics.

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.

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. 

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

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.

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