Module Descriptors
SIMULATION MODELLING
MATH60320
Key Facts
Digital, Technology, Innovation and Business
Level 6
15 credits
Contact
Leader: Md Asaduzzaman
Email: Md.Asaduzzaman@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 30
Independent Study Hours: 120
Total Learning Hours: 150
Assessment
- PORTFOLIO OF TESTS AND ASSIGNMENTS weighted at 100%
Module Details
Module Texts
For background reading only:
Simulation: The Practice of Model Development and Use, Stewart Robinson, 2003, Wiley, ISBN: 978-0470847725.
Discrete Event System Simulation: International Version, Jerry Banks et al, 2010, Wiley, ISBN: 978-0138150372.
Discrete Event Simulation: A First Course, L.H. Leemis & S.K. Park, 2005, Prentice Hall, ISBN: 978-0131429178.
Simulation: The Practice of Model Development and Use, Stewart Robinson, 2003, Wiley, ISBN: 978-0470847725.
Discrete Event System Simulation: International Version, Jerry Banks et al, 2010, Wiley, ISBN: 978-0138150372.
Discrete Event Simulation: A First Course, L.H. Leemis & S.K. Park, 2005, Prentice Hall, ISBN: 978-0131429178.
Module Special Admissions Requirements
Prior study of MATH50300 Mathematical Modelling and Operational Research or equivalent.
Module Resources
Simul8 software.
Module Learning Strategies
The material will be introduced via 12 hours of lectures covering simulation theory (1 a week) and 18 hours of practical making use of simulation software (alternating 1 and 2 hours per week).
Module Additional Assessment Details
Portfolio weighted at 100% assessing learning outcomes 1-3 comprising:-
1 hour test weighted at 30%
A 2000 word individual report weighted at 70% detailing the objectives, modelling and results from a simulation study of a real world problem.
1 hour test weighted at 30%
A 2000 word individual report weighted at 70% detailing the objectives, modelling and results from a simulation study of a real world problem.
Module Indicative Content
The meaning and methodology of simulation modelling.
Modelling of discrete event simulation - model building, verification, validation, experimentation.
Queuing theory.
Statistical considerations - random numbers, sampling methods, sampling methods, statistical analysis of results, variation reduction techniques.
Computer simulation tools.
Modelling of discrete event simulation - model building, verification, validation, experimentation.
Queuing theory.
Statistical considerations - random numbers, sampling methods, sampling methods, statistical analysis of results, variation reduction techniques.
Computer simulation tools.