Simulation for Decision Science

Undergraduate | 2026

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Area/Catalogue
MATH X207
Course ID icon
Course ID
207614
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course level icon
Course level
2
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

This course introduces students to decision-making and scenario-based analysis using stochastic modelling, including advanced topics in simulation.

Course learning outcomes

  • Communicate how randomness and controlled variation can be used to model complex systems in a range of application domains such as industry, health, and transportation
  • Create a model of a real-world problem specified in words and implement it as a discrete-event simulation
  • Validate results from a discrete-event simulation
  • Explore scenarios using simulation to elicit and compare possibilities
  • Design simulation-based workflows to support decision-making in real-world contexts and explain the process

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A