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Module Catalogue

IB320-15 Simulation

Department
Warwick Business School
Level
Undergraduate Level 3
Module leader
Salimeh Pour Mohammad
Credit value
15
Module duration
10 weeks
Assessment
Multiple
Study location
University of Warwick main campus, Coventry

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Introductory description

This is an elective module available for WBS and non-WBS students. To find detailed availability and to apply for this module, log in to my.wbs.ac.uk using your normal IT login details and apply via the my.wbs module application system. Once you’ve secured a place on my.wbs you should apply via your home department’s usual process, which usually takes place via eVision. Note that you do not require the module leader’s permission to study a WBS module, so please do not contact them to request it.

Module web page

Module aims

Simulation is one of the most commonly used operational research methods for analysing complex operational/ industrial problems. This module will focus on discrete event simulation. Students will learn the theoretical underpinnings of the methods and the range of applications for which they are useful. They will gain practical experience in problem solving using commercial simulation software.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Topics covered include:

  • The discrete-event simulation method.
  • Software for discrete-event simulation (with use of a specific package e.g. Simul8 or Witness).
  • Performing a simulation study (conceptual modelling, data collection and analysis, experimentation, verification and validation).

Workshops will provide the opportunity for supervised exercises and help students develop their own computer based simulation programmes. During the workshops students will be asked to investigate a particular industrial/operational problem using the guide sheet provided. They should develop a suitable simulation model using Simul8. The students will learn how to do conceptual modelling, implement their model, use data to analyse their model, validate and verify their model, and reflect on their result, etc....

Learning outcomes

By the end of the module, students should be able to:

  • Demonstrate the nature and application of discrete-event simulation and know how to experiment with it.
  • Analyse data and present it in an intelligible form.

Indicative reading list

  • Simulation, The Practice of Model Development and Use, Stewart Robinson, Palgrave Macmillan, 2014.

  • Simulation Modeling and Analysis, Avril M Law, McGraw-Hill, 2007.

  • Conceptual Modeling for Discrete-Event Simulation, Edited by Stewart Robinson, Roger Brooks, Kathy Kotiadis, Durk-Jouke Van Der Zee, Boca Raton: CRC Press, 2010.

  • Simul8 Websites:
    http://www.simul8.com/

These are the preferred texts as the most suitable for this topic (the subject matters changes little over time).

Subject specific skills

Develop and use a simulation for investigating a problem situation.

Transferable skills

Develop a working knowledge of a discrete event simulation software package.
Work in groups to solve problems cooperatively.
Communicate effectively.

Study time

Type Required
Lectures 10 sessions of 1 hour (7%)
Seminars 9 sessions of 1 hour (6%)
Online learning (independent) 10 sessions of 1 hour (7%)
Private study 47 hours (31%)
Assessment 74 hours (49%)
Total 150 hours

Private study description

Private study.

Costs

No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Assessment group A3
Weighting Study time Eligible for self-certification
Group Assignment 20% 15 hours No

Group Assignment 1500 words
Individual Assignment 70% 51 hours Yes (extension)
Participation 10% 8 hours No
Assessment group R3
Weighting Study time Eligible for self-certification
Individual Assignment 30% Yes (extension)

Individual Assignment to replace group work and participation
Individual Assignment 70% Yes (extension)
Feedback on assessment

Feedback via my.wbs.

Pre-requisites

Non-WBS students must have taken an equivalent statistics module to IB122 Business Analytics.

To take this module, you must have passed:

Courses

This module is Core for:

  • USTA-G301 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics (with Intercalated
    • Year 3 of G30G Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream) Int
    • Year 4 of G30G Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream) Int

This module is Core optional for:

  • Year 2 of UMAA-G1N2 Undergraduate Mathematics and Business Studies (with Intercalated Year)

This module is Optional for:

  • UECA-3 Undergraduate Economics 3 Year Variants
    • Year 3 of L100 Economics
    • Year 3 of L116 Economics and Industrial Organization
  • UECA-4 Undergraduate Economics 4 Year Variants
    • Year 4 of L103 Economics with Study Abroad
    • Year 4 of LM1H Economics, Politics & International Studies with Study Abroad
  • Year 3 of UECA-LM1D Undergraduate Economics, Politics and International Studies
  • Year 4 of UIBA-MN32 Undergraduate Law and Business Studies
  • Year 5 of UIBA-MN37 Undergraduate Law and Business Studies (Qualifying Degree) with Intercalated Year
  • Year 5 of UIBA-MN36 Undergraduate Law and Business Studies with Intercalated Year (4+1)
  • USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
    • Year 3 of G300 Mathematics, Operational Research, Statistics and Economics
    • Year 4 of G300 Mathematics, Operational Research, Statistics and Economics
  • Year 3 of UMAA-GL11 Undergraduate Mathematics and Economics
  • Year 4 of USTA-G1G3 Undergraduate Mathematics and Statistics (BSc MMathStat)
  • USTA-G1G4 Undergraduate Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)
    • Year 4 of G1G4 Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)
    • Year 5 of G1G4 Mathematics and Statistics (BSc MMathStat) (with Intercalated Year)

This module is Option list A for:

  • Year 2 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
  • Year 3 of USTA-Y602 Undergraduate Mathematics,Operational Research,Statistics and Economics
  • Year 4 of USTA-Y603 Undergraduate Mathematics,Operational Research,Statistics,Economics (with Intercalated Year)

This module is Option list B for:

  • UMAA-G105 Undergraduate Master of Mathematics (with Intercalated Year)
    • Year 4 of G105 Mathematics (MMath) with Intercalated Year
    • Year 5 of G105 Mathematics (MMath) with Intercalated Year
  • Year 3 of UMAA-G100 Undergraduate Mathematics (BSc)
  • UMAA-G103 Undergraduate Mathematics (MMath)
    • Year 3 of G100 Mathematics
    • Year 3 of G103 Mathematics (MMath)
    • Year 4 of G103 Mathematics (MMath)
  • Year 4 of UMAA-G107 Undergraduate Mathematics (MMath) with Study Abroad
  • UMAA-G106 Undergraduate Mathematics (MMath) with Study in Europe
    • Year 3 of G106 Mathematics (MMath) with Study in Europe
    • Year 4 of G106 Mathematics (MMath) with Study in Europe
  • USTA-GG14 Undergraduate Mathematics and Statistics (BSc)
    • Year 2 of GG14 Mathematics and Statistics
    • Year 3 of GG14 Mathematics and Statistics
  • Year 4 of USTA-GG17 Undergraduate Mathematics and Statistics (with Intercalated Year)
  • Year 4 of UMAA-G101 Undergraduate Mathematics with Intercalated Year
  • Year 2 of USTA-Y602 Undergraduate Mathematics,Operational Research,Statistics and Economics

This module is Option list C for:

  • Year 4 of UCSA-G504 MEng Computer Science (with intercalated year)
  • Year 3 of UCSA-G500 Undergraduate Computer Science
  • Year 4 of UCSA-G502 Undergraduate Computer Science (with Intercalated Year)
  • UCSA-G503 Undergraduate Computer Science MEng
    • Year 3 of G500 Computer Science
    • Year 3 of G503 Computer Science MEng

This module is Option list D for:

  • Year 3 of USTA-G300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
  • Year 3 of USTA-G1G3 Undergraduate Mathematics and Statistics (BSc MMathStat)