- Student Records
Programme & Unit Catalogues

MN50642: Optimisation

Follow this link for further information on academic years Academic Year: 2017/8
Further information on owning departmentsOwning Department/School: School of Management
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 1
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Coursework (CW 50%)
  • Examination (CW 50%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
Further information on descriptions Description: Aims:
This unit teaches the advanced concepts, theoretical models, state-of-the-art solution algorithms, and the best practices of optimisation from the real world.

Learning Outcomes:
At the end of this unit, students will be able to:
* Recognise the components of an optimisation problem within a given managerial problem.
* Solve optimisation problems using off-the-shelf software (such as OPL Studio and GAMS) and interpret the results.
* Model and solve real life managerial problems as optimisation problems

Intellectual skills:
* Simplify a managerial problem down to its objective(s), decisions, and constraints (T, F, A)
* Identify identical optimisation problems arising in different contexts (T, F)
Practical skills:
* Use spreadsheet software for optimisation (T, F)
* Utilize models from the literature for common managerial optimisation problems (T, F, A)
Transferable skills:
* Enhance perspective of decision making (T, F)
* Familiarize with key concepts and practices of problem solving (T, F, A)

Topics covered include linear and integer optimisation models and associated solution algorithms, sensitivity analysis, multi-objective optimisation, and well-studied optimisation models from the literature.
Further information on programme availabilityProgramme availability:

MN50642 is Compulsory on the following programmes:

School of Management