Mathematical models can be used to represent infection spread in different populations, but how do we write the equations that make up these models? What parameters are included in the equations? What assumptions are made about how infections occur?

This course is for those wishing to learn the basics of ordinary differential equation infectious disease models and how to implement these models in R. Starting from the simple Susceptible-Infectious model, at the end of this course you will understand how to add additional complexities such as demography and make model predictions using R. Learn with worked examples, exercises, quizzes and **tutor support** – use the Q&A box to ask questions.

This course is __CPD certified!__

R is a free to use open source software that is widely used for data visualisation, statistical analysis and mathematical modelling. This course is for absolute beginners in R who wish to learn the basics of a wide range of topics in base R.

Starting from downloading R, at the end of this course you will be able to read in an external data set and start making plots. Learn with worked examples, exercises, quizzes and **tutor support** – use the Q&A box to ask questions.

This course is __CPD certified!__

What previous learners have said about the course:

“*Amanda was of amazing help and I appreciated her prompt response to my question about code. “*

“*This is a perfect course for any beginner who is interested in learning R.*”

“*Awesome course. Takes you from zero to hero in no time!*”

Have you just entered the world of infectious disease modelling? Are you ‘not a mathematician’?

Understanding a few core topics of calculus will enable you to understand a wide range of mathematical models.

Learn the mathematical background of ordinary differential equation models with worked examples, exercises and **tutor support** – use the Q&A box to ask questions.