- Student Records
Programme & Unit Catalogues

MN50646: Heuristics & simulation

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 2
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Group assignment (CW 40%)
  • Individual assignment (CW 60%)
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 introduces algorithms for optimised decision making and methods for simulating the reality in a computerised environment for what-if-analysis.

Learning Outcomes:
At the end of this unit, students will be able to:
* Design heuristic algorithms for optimisation problems.
* Provide solutions for managerial decision problems using a programming language.
* Construct a simulation model of a real-world business process.
* Test and compare business scenarios using simulation.

Intellectual skills:
* Simplify a solution method into its elementary steps and implement it as an algorithm (T, F, A)
* Identify the queues, resources, and entities in a business process and develop the corresponding simulation model (T, F, A)
Practical skills:
* Make use of a programming language for problem solving (F, A)
* Utilize simulation software for scenario testing (T, F, A)
Transferable skills:
* Enhance perspective of decision making (F, A)
* Familiarize with key concepts and practices of problem solving (T, F, A)

Topics covered include constructive heuristics, improvement heuristics, metaheuristics, discrete event system simulation, and input data analysis and output data analysis for simulation.
Further information on programme availabilityProgramme availability:

MN50646 is Compulsory on the following programmes:

School of Management