MG308      Half Unit
Simulation Modelling and Analysis

This information is for the 2021/22 session.

Teacher responsible

Dr Nayat Horozoglu


This course is available on the BSc in Management, International Exchange (1 Term) and International Exchange (Full Year). This course is available as an outside option to students on other programmes where regulations permit and to General Course students.

This course has a limited number of places (it is capped). Students who have this course as a compulsory course are guaranteed a place. Places for all other students are allocated on a first come first served basis.


ST107 Quantitative Methods (Statistics) or equivalent. A basic understanding and some experience of Microsoft Excel are required.

Course content

The aim of the course is to introduce students to concepts, techniques and applied aspects of the development and analysis of simulation models. The course will cover two main approaches for modelling problems bound by uncertainty (stochastic behaviour): Monte Carlo Simulation (static problems) and Discrete Event Simulation (dynamic problems). The course covers topics such as types of uncertainty, sampling methods, structuring problems for simulation, running simulation models, analysing simulation outputs, testing and validating simulation models, risk analysis using simulated models, applications of simulation.


Teaching hours in the LT will be commensurate with a usual half unit undergraduate course but note that teaching may take a different format and/or structure in 2021/22.


Formative coursework

One formative piece of coursework will be set in LT.

Indicative reading

The extensive lecture notes provided are the essential reading for this course. These lecture notes can be complemented with the following background readings:

• Law, AM. (2015). Simulation Modelling and Analysis (5th ed.). New York: McGraw-Hill Education.

• Pidd, M. (2004). Computer simulation in management science (5th ed.). Hoboken: Wiley.

• Robinson, S. (2014). Simulation: The Practice of Model Development and Use (2nd ed.). Basingstoke: Palgrave Macmillan.

• Vose, D. (2008). Risk analysis: A quantitative guide (3rd ed.). Chichester: Wiley.


Project (100%) in the ST.

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Important information in response to COVID-19

Please note that during 2021/22 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the differing needs of students in attendance on campus and those who might be studying online. For example, this may involve changes to the mode of teaching delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.

Key facts

Department: Management

Total students 2020/21: 58

Average class size 2020/21: 15

Capped 2020/21: Yes (68)

Value: Half Unit

Guidelines for interpreting course guide information

Personal development skills

  • Self-management
  • Problem solving
  • Communication
  • Application of numeracy skills
  • Specialist skills