Not available in 2020/21
MA316 Half Unit
Graph Theory
This information is for the 2020/21 session.
Teacher responsible
Prof Graham Brightwell
Availability
This course is available on the BSc in Mathematics and Economics, 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. Optional topics include flows, Ramsey theory, the probabilistic method, spectral graph theory, or matroids.
Teaching
20 hours of lectures and 10 hours of classes in the MT. 1 hour of lectures in the ST.
Revision Lecture is better received by students in ST
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 (100%, duration: 2 hours) in the summer exam period.
Important information in response to COVID-19
Please note that during 2020/21 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the situation of students in attendance on campus and those studying online during the early part of the academic year. For assessment, this may involve changes to mode of delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.
Key facts
Department: Mathematics
Total students 2019/20: 12
Average class size 2019/20: 12
Capped 2019/20: No
Value: Half Unit
Personal development skills
- Self-management
- Problem solving
- Application of information skills
- Communication
- Application of numeracy skills
- Specialist skills
