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Simulation Modelling Module

Module Delivery Information

• Location: Canterbury
• Term: Spring Term
• Level: 7
• Credits (ECTS): 15 (7.5)
• Current Convenor: Jesse O'Hanley
• 2024 to 2025: checkmark-circle

Overview

Simulation Modelling allows students to experiment with digital models of real-world processes to make evidence-based decisions. Using industry-standard simulation software, students develop complex models for various contexts, such as healthcare and manufacturing.

Details

• Contact hours: 35
• Private study hours: 115
• Total study hours: 150

Method of Assessment

• Main assessment methods:
  • VLE test 1: Queuing Theory Exercises (20%)
  • VLE test 2 (20%)
  • Simulation Modelling Report (up to 2500 words) (60%)
• Reassessment methods:
  • Reassessment Instrument: 100% coursework

Indicative Reading

The University is committed to ensuring that core reading materials are in accessible electronic format.

Learning Outcomes

• Recognize the types of business and organizational problems that can be appropriately formulated and analyzed using stochastic simulation.
• Demonstrate a conceptual understanding of the basis of queuing theory.
• Build realistic simulation models using industry-standard software and acquire a systematic understanding of the flexibility that simulation-based approaches provide managers in terms of dealing with risk and other real-world complexities.
• Demonstrate a comprehensive understanding of the theoretical foundations of stochastic simulation, including random number generation, sampling from discrete and continuous distributions, and statistical analysis of transient/steady-state outputs.

Notes

1. Credit level 7. Undergraduate or postgraduate masters level module.
2. ECTS credits are recognized throughout the EU and allow students to transfer credit easily from one university to another.
3. The named convenor is the convenor for the current academic session.

Key Information

• Year: 2024 to 2025
• Pre-requisites: None
• Restrictions: Compulsory module for MSc Business Analytics and MSc Logistics and Supply Chain Management