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MN50642: Optimisation

Academic Year: 2018/9
Owning Department/School: School of Management
Credits: 6      [equivalent to 12 CATS credits]
Notional Study Hours: 120
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 1
Assessment Summary: CW 100%
Assessment Detail:
  • Coursework (CW 50%)
  • Examination (CW 50%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
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

Skills:
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)

Content:
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.
Programme availability:

MN50642 is Compulsory on the following programmes:

School of Management

Notes:

  • This unit catalogue is applicable for the 2018/19 academic year only. Students continuing their studies into 2019/20 and beyond should not assume that this unit will be available in future years in the format displayed here for 2018/19.
  • Programmes and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Undergraduates: .
  • Postgraduates: .