Â鶹´«Ã½

-


MN50646: Heuristics & simulation

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 2
Assessment Summary: CW 100%
Assessment Detail:
  • Group assignment (CW 40%)
  • Individual assignment (CW 60%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
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.

Skills:
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)

Content:
Topics covered include constructive heuristics, improvement heuristics, metaheuristics, discrete event system simulation, and input data analysis and output data analysis for simulation.
Programme availability:

MN50646 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: .