DISEASE MODELLING
The course will provide an overview of the mathematical modelling of the spread of infectious disease within populations and equip students to use mathematical models to describe real-world disease incidence data. Topics include: ordinary differential equation models of endemic, epidemic and pandemic diseases; model selection, data fitting and parameter estimation.
Prerequisites & course information
Antirequisite(s): Applied Mathematics 3615A/B, if taken in the 2020-21 or 2021-22, and Mathematics 4958B, if taken in 2022-23 with the topic “Covid Modelling”. Prerequisite(s): Applied Mathematics 2402A/B or Statistical Sciences 2503A/B or Numerical and Mathematical Methods 2270A/B . Recommended: Applied Mathematics 3615A/B and Applied Mathematics 2814A/B as pre- or co-requisites. Extra Information: 3 lecture hours. Course Weight: 0.50
Sources
- Course catalogue ↗2026-2027