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Learner Reviews & Feedback for Simulating Viral Pandemics in Python by Coursera Project Network
24 ratings
About the Course
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.
Top reviews
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1 - 6 of 6 Reviews for Simulating Viral Pandemics in Python
By george r
•Oct 24, 2020
Bogus.
I have not yet seen any of this course.
Yet I am now "done"
By harshvardhan s
•Aug 2, 2020
Awesome
By nice m k
•Sep 29, 2020
Gud course
By Misael G D
•Feb 1, 2021
The project is superficial in the SIR model explanations. Also the code part does not have enough explanations about the SIR model and its implementations. You need a good understanding of libraries and good Python programming skills to understand the code.
By Gursharanpreet S
•Dec 25, 2020
Very superficial. Not challenging
By Mohammad A A
•Jan 25, 2021
Not good at all; copy and paste the code and boom! Also, the instructor is not an epidemiologist and doesn't really know how these models are done in reality.
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