MA427      Half Unit
Mathematical Optimisation

This information is for the 2017/18 session.

Teacher responsible

Dr Laszlo Vegh


This course is available on the Global MSc in Management, Global MSc in Management (CEMS MIM), Global MSc in Management (MBA Exchange), MSc in Applicable Mathematics and MSc in Operations Research & Analytics. This course is available as an outside option to students on other programmes where regulations permit.


Students must have sufficient knowledge of linear algebra (linear independence, determinants, matrix inversion and manipulation) and of basic multivariate calculus (derivatives and gradients).

Course content

Introduction to the theory and solution methods of linear and nonlinear programming problems, including: linear programming duality, Lagrangian duality, convex programming and Karush-Kuhn-Tucker conditions, algorithms for linear and convex optimisation problems, theory of good formulations for integer linear programming models, integer linear programming methods (branch and bound and cutting planes).


20 hours of lectures and 15 hours of seminars in the LT. 2 hours of lectures in the ST.

Formative coursework

Weekly exercises will be given that will be solved and discussed during the seminars. Two of those exercises will be handed in as formative coursework and the students will be given feedback on their submissions.

Indicative reading

Extensive lecture notes covering all parts of the course will be provided. Students interested in further readings can look at the books below.

  • D Bertsimas and J N Tsitsiklis, Introduction to Linear Optimization (1997)
  • S Boyd and L Vandenberghe, Convex Optimization (2004)
  • M Conforti, G Cornuejols, G Zambelli, Integer Programming (2014)


Exam (100%, duration: 3 hours) in the main exam period.

Key facts

Department: Mathematics

Total students 2016/17: Unavailable

Average class size 2016/17: Unavailable

Controlled access 2016/17: No

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

  • Problem solving
  • Application of numeracy skills
  • Specialist skills