Simulating Viral Pandemics in Python

Offered By
Coursera Project Network
In this Guided Project, you will:

Learn basics of the SIR model

Implement an agent-based implementation of the SIR model in Python with visualization

Add realistic data and implement simulated mitigation procedures to simulation

Clock2 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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.

Skills you will develop

Predictive AnalyticsPython ProgrammingSimulationMachine Learning

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1.  Learn about the SIR Model

  2. Build the Basic Structure of our SIR Model

  3. Run your First Basic SIR Model Simulation

  4. Simulate Mitigation Policies and Asymptomatic Populations

  5. Add Real-World Data

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

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