MTH4151 - Advanced graph theory - 2019

Networks are ubiquitous and fundamental in the modern world, whether they are computer networks, transport networks, food webs, polymer chains, social networks and so on. Graph theory is the mathematics of networks. Familiarity with the basic notions and terminology will be assumed and built on to give an advanced understanding of a number of topics chosen from the following list: random graph theory, probabilistic method, extremal graph theory, Ramsey theory, advanced algorithms, combinatorial optimisation, geometric graph theory, topological graph theory, structural graph theory, algebraic graph theory, graph colouring, matroid theory.

On completion of this unit students will be able to:

1. Formulate complex problems using appropriate graph-theoretic terminology.
2. Appreciate the role of graph theory in other areas of mathematics.
3. Apply sophisticated mathematical methods in the setting of graph theory.
4. Apply sophisticated graph-theoretic arguments in a variety of settings.
5. Communicate complex information about graphs.
6. Apply critical thinking in the field of graph theory.
7. Read, understand and verify expert mathematical proofs about graphs.
8. Develop and write mathematical proofs about graphs.
9. Understand several real-world applications of graph theory.

Examination (3 hours): 60% (Hurdle)

Continuous assessment: 40%

Hurdle requirement: To pass this unit a student must achieve at least 50% overall and at least 40% for the end-of-semester exam.

3 hours of lectures and 1h of tutorial per week.

8 hours independent study per week.

See also Unit timetable information

Master of Mathematics