# 3MC African Mathematical School on Mathematical Modeling in Biology

These are some of the lectures from the 3MC African Mathematical School on Mathematical Modeling in Biology. To access the code, etc., click the *View on GitHub* button (or here) to access the repository content. You can also download the whole repository by clicking the buttons on the left. (You can of course clone the repo, but will have to do it from the GitHub version.)

- Lecture 1: Introduction to modelling
- Lecture 2(a): Toolbox to analyse Ordinary Differential Equation models
- Lecture 2(b): Toolbox to analyse discrete time models
- Lecture 3: Beyond mathematical analysis
- Lecture 4: Use of collection of models and model selection

## Michael Li (University of Alberta)

- Lecture 1: Basic Epidemic Models, Disease Data, and Challenges in Modeling Epidemics
- Lecture 2: Heterogeneous Epidemic Models and a Graph-Theoretic Method for Constructing Lyapunov Functions
- Lecture 3: In-Host Models for Viral Infections of Cells and Backward Bifurcation

## James Watmough (University of New Brunswick)

James’ material is on his website. I will add links to stuff he mentions here, for convenience.

## Julien Arino (University of Manitoba)

- A lecture (from another course) on parameter identification here
- Lecture 1: The chemostat
- Lecture 2: Metapopulation models. Note: not proofread yet, definitely needs further editing
- Lecture 3: A few more random things about stochastic stuff

## Rachid Ouifki] (North West University)

## Code directory

You can find some code related to the lectures in this directory in the GitHub repo. Specifically, follow the links below to get directly to the code by: