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.)

Stéphanie Portet (University of Manitoba)

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.

Lecture 1 on the simple death process.

Jacek Banasiak (University of Pretoria)

All lectures in one file

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)

All lectures in one file: Delay differential equations

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: