Simulating Viral Pandemics in Python

3.7
24 個評分
提供方
Coursera Project Network
在此指導項目中,您將:

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
Intermediate中級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

Artificial Intelligence In HealthcareSimulationHealth InformaticsPredictive AnalyticsAgent-Based Model

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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