5.00
(1 Rating)

Implementing ODEs in R

Categories: Mathematical modelling, R
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About Course

This micro-course introduces how to implement ordinary differential equation models using R.

We will cover two examples:

  • A Predator-Prey model
  • A Susceptible-Infected-Recovered model.

The lessons do not cover the background of these models, or the model assumptions, but focuses solely on how to find the solution to these systems of ODEs using the R package deSolve.

Prior knowledge of R is assumed.

About the instructor

AM
These courses aim to equip you with the confidence to apply skills in mathematical modelling and data analytics in high-quality research, based on my experience working as an infectious disease modeller at the Big Data Institute University of Oxford, London School of Hygiene and Tropical Medicine (LSHTM) and the University of Warwick. I have taught mathematical modelling, statistics and R programming to audiences ranging from undergraduate students to professionals. I have designed and led courses internationally (University of Malaya and Federal University of Bahia, Brazil) and in the UK (University of Leeds, Warwick, LSHTM). Prior to this, I completed a doctorate in mathematical modelling of infectious disease at the University of Liverpool, following a Master’s degree in applied statistics from the University of Lancaster.

Course Curriculum

Predator-prey model

  • ODE model and R setup
  • Inputs
  • Solution

Susceptible-Infectious-Recovered model

  • ODE model
  • Inputs
  • Solution

Student Ratings & Reviews

5.0
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YA
7 months ago
Good course.