IB32015 Simulation
Introductory description
This is an elective module available for WBS and nonWBS students.
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.
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 will be:
 The discreteevent simulation method
 Software for discreteevent 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)
The tutorials provide the opportunity for supervised exercises and help students develop their own computer based simulation programmes.
Learning outcomes
By the end of the module, students should be able to:
 Understand the nature and application of discreteevent simulation and know how to experiment with it.
 Work out how to 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, McGrawHill, 2007.
Conceptual Modeling for DiscreteEvent Simulation, Edited by Stewart Robinson, Roger Brooks, Kathy Kotiadis, DurkJouke Van Der Zee, Boca Raton: CRC Press, 2010.  Simul8 Websites:
http://www.simul8.com/
These are the prefered 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 2 hours (13%) 
Supervised practical classes  9 sessions of 1 hour (6%) 
Private study  48 hours (32%) 
Assessment  73 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 D2
Weighting  Study time  

Group Assignment  40%  29 hours 
Online Examination  60%  44 hours 
Exam ~Platforms  AEP

Feedback on assessment
Feedback via my.wbs.
Prerequisites
Or Equivalent statistics modules.
To take this module, you must have passed:
Courses
This module is Core for:

USTAG301 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 UMAAG1NC Undergraduate Mathematics and Business Studies
This module is Optional for:
 Year 4 of UIBAMN32 Undergraduate Law and Business Studies
 Year 5 of UIBAMN37 Undergraduate Law and Business Studies (Qualifying Degree) with Intercalated Year
 Year 5 of UIBAMN36 Undergraduate Law and Business Studies with Intercalated Year (4+1)

USTAG300 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

USTAG1G3 Undergraduate Mathematics and Statistics (BSc MMathStat)
 Year 2 of G1G3 Mathematics and Statistics (BSc MMathStat)
 Year 3 of G1G3 Mathematics and Statistics (BSc MMathStat)
 Year 4 of G1G3 Mathematics and Statistics (BSc MMathStat)

USTAG1G4 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)

USTAGG14 Undergraduate Mathematics and Statistics (BSc)
 Year 2 of GG14 Mathematics and Statistics
 Year 2 of GG14 Mathematics and Statistics
This module is Core option list C for:

USTAG300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics
 Year 3 of G30C Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream)
 Year 3 of G30C Master of Maths, Op.Res, Stats & Economics (Operational Research and Statistics Stream)
This module is Option list A for:
 Year 2 of USTAG300 Undergraduate Master of Mathematics,Operational Research,Statistics and Economics

USTAY602 Undergraduate Mathematics,Operational Research,Statistics and Economics
 Year 2 of Y602 Mathematics,Operational Research,Stats,Economics
 Year 2 of Y602 Mathematics,Operational Research,Stats,Economics
 Year 3 of Y602 Mathematics,Operational Research,Stats,Economics
 Year 3 of Y602 Mathematics,Operational Research,Stats,Economics
 Year 4 of USTAY603 Undergraduate Mathematics,Operational Research,Statistics,Economics (with Intercalated Year)
This module is Option list B for:
 Year 4 of UCSAG409 Undergraduate Computer Systems Engineering (with Intercalated Year)

UMAAG105 Undergraduate Master of Mathematics (with Intercalated Year)
 Year 2 of G105 Mathematics (MMath) with Intercalated Year
 Year 3 of G105 Mathematics (MMath) with Intercalated Year
 Year 5 of G105 Mathematics (MMath) with Intercalated Year

UMAAG100 Undergraduate Mathematics (BSc)
 Year 2 of G100 Mathematics
 Year 2 of G100 Mathematics
 Year 2 of G100 Mathematics
 Year 3 of G100 Mathematics
 Year 3 of G100 Mathematics
 Year 3 of G100 Mathematics

UMAAG103 Undergraduate Mathematics (MMath)
 Year 2 of G100 Mathematics
 Year 2 of G103 Mathematics (MMath)
 Year 2 of G103 Mathematics (MMath)
 Year 3 of G100 Mathematics
 Year 3 of G103 Mathematics (MMath)
 Year 3 of G103 Mathematics (MMath)
 Year 4 of G103 Mathematics (MMath)
 Year 4 of G103 Mathematics (MMath)

UMAAG106 Undergraduate Mathematics (MMath) with Study in Europe
 Year 2 of G106 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
 Year 2 of UMAAG1NC Undergraduate Mathematics and Business Studies
 Year 2 of UMAAGL11 Undergraduate Mathematics and Economics

USTAGG14 Undergraduate Mathematics and Statistics (BSc)
 Year 3 of GG14 Mathematics and Statistics
 Year 3 of GG14 Mathematics and Statistics
 Year 4 of USTAGG17 Undergraduate Mathematics and Statistics (with Intercalated Year)

UMAAG101 Undergraduate Mathematics with Intercalated Year
 Year 2 of G101 Mathematics with Intercalated Year
 Year 4 of G101 Mathematics with Intercalated Year
This module is Option list C for:
 Year 4 of UCSAG504 MEng Computer Science (with intercalated year)

UCSAG500 Undergraduate Computer Science
 Year 3 of G500 Computer Science
 Year 3 of G500 Computer Science

UCSAG502 Undergraduate Computer Science (with Intercalated Year)
 Year 4 of G502 Computer Science with Intercalated Year
 Year 4 of G502 Computer Science with Intercalated Year

UCSAG503 Undergraduate Computer Science MEng
 Year 3 of G500 Computer Science
 Year 3 of G503 Computer Science MEng
 Year 3 of G503 Computer Science MEng