MG313      Half Unit
Practical Optimisation Modelling

This information is for the 2014/15 session.

Teacher responsible

Dr Thomas Lidbetter NAB 3.20


This course is available on the BSc in Business Mathematics and Statistics, BSc in Econometrics and Mathematical Economics, BSc in Economics, BSc in Management and BSc in Statistics with Finance. This course is available as an outside option to students on other programmes where regulations permit and to General Course students.


Students must have a knowledge of Mathematics and Statistics to the level of MA107 (Quantitative Methods - Mathematics) and ST107 (Quantitative methods - Statistics), or ST102 (Elementary Statistical Theory). OR202 is not a prerequisite but is advisable to be taken previously or in conjunction with the course.

Course content

Mathematical Optimisation is one of the most powerful and widely-used quantitative techniques for making optimal decisions. The course has a pragmatic focus and aims at enabling students to model and solve real-life management problems. An overview is provided on fundamental technique, most importantly linear and integer programming, emphasising modelling and solution concepts and methods (e.g. feasibility, optimality, duality, multiple objectives, using binary variables for modelling, network models). The students will learn to formalise management problems using linear and integer programming models, to implement these models using specialised optimisation software, and to analyse and interpret the results, reflecting on the limitations of the models.


15 hours of lectures and 13 hours and 30 minutes of classes in the MT. 1 hour and 30 minutes of classes in the LT.

8 hours of computer help sessions in the MT. 2 hours of computer help sessions in the LT. Computer help sessions are optional.

Formative coursework

Students will have the opportunity to submit a mock project for marking and feedback before the final assessed project is due.  Students will also be given weekly homework exercises.

Indicative reading

H. Paul Williams: Model Building in Mathematical Programming, Fifth Edition, Wiley 2013.

F S Hillier and G J Lieberman: Introduction to Operations Research, McGraw-Hill

D Bertsimas and J N Tsitsiklis: Introduction to Linear Optimization, Athena Scientific.

A Ravindran, D T Philips, J J Solberg: Operations Research: Principles and Practice, Wiley.


Project (100%) in the LT.

The course is examined entirely on a project to be submitted at the end of LT.

Key facts

Department: Management

Total students 2013/14: Unavailable

Average class size 2013/14: Unavailable

Capped 2013/14: No

Lecture capture used 2013/14: No

Value: Half Unit

Guidelines for interpreting course guide information

PDAM skills

  • Team working
  • Problem solving
  • Application of numeracy skills
  • Specialist skills