Research Student Seminar

This information is for the 2019/20 session.

Teacher responsible

Dr Peter Allen COL 4.05, Dr Christoph Czichowsky COL 3.11, Dr Pavel Gapeev COL 4.10, Prof Jozef Skokan COL 3.04, Dr Laszlo Vegh NAB.3.05, Dr Julia Boettcher COL 4.03, Dr Paul Duetting COL 3.08 and Dr Albina Danilova COL 4.09


This course is compulsory on the MPhil/PhD in Mathematics. This course is available with permission as an outside option to students on other programmes where regulations permit.

Other members of the research community are welcome to attend.

Course content

The seminars range across many areas of pure, applied and financial mathematics. The emphasis is on topics in discrete mathematics, algorithms, operations research, game theory, financial mathematics and control theory. The seminars are regarded as an important part of research students' formal training and they will all be expected to attend and contribute.  Throughout the academic year, students are also invited to give presentations.

There are additional reading groups aimed at students working in financial mathematics and discrete mathematics. These are compulsory for students working in this area but other students of the MPhil/PhD in Mathematics are welcome to attend.

See and,-Games-and-Optimisation.aspx


PhD Seminar on Combinatorics, Games and Optimisation (MA501.1): 11 one-and-a-half-hour seminars in the MT and LT. 7 one-and-a-half-hour seminars in the ST.

LGSMF Portfolio Optimisation Seminar (MA501.2): 11 three-hour seminars in the LT. 7 three-hour seminars in the ST.

Financial Mathematics Reading Group Seminar (MA501.3): 11 three-hour seminars and 11 one-hour seminars in the MT and LT. 7 three-hour seminars and 7 one-hour seminars  in the ST.

Discrete Mathematics Reading Group Seminar (MA501.4): 11 three-hour seminars in the MT and LT. 7 three-hour seminars in the ST.

Approximately 80-90 meetings of between 1 and 3 hours throughout the MT, LT and ST, dependent on speakers. See for schedule and more details.

Key facts

Department: Mathematics

Total students 2018/19: 1

Average class size 2018/19: Unavailable

Value: Non-credit bearing

Guidelines for interpreting course guide information

Personal development skills

  • Communication