Simulating Viral Pandemics in Python

3.7
12 个评分
提供方
Coursera Project Network
在此指导项目中,您将:

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中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

Predictive AnalyticsPython ProgrammingSimulationMachine Learning

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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