In this 1-hour long project-based course, you will learn basic principles of agent-based SIR models and how one can be implemented in Python. Together, we will explore basic Python implementations of SIR differential equations and agent-based modeling from scratch. This will be accomplished using Matplotlib and Numpy.
I encourage learners to experiment. What other variables can be added? Can our variables be represented better? What limitations do we come across? The learner is highly encouraged to experiment beyond the scope of the course.
After you finish the course, you will have the basic knowledge of building a mathematical simulation to model the transmission of a pandemic contagion.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.