Introduction to Computational Thinking with Julia, with Applications to Modeling the COVID-19 Pandemic

Stick figure pointing at graph with "Time" on x-axis and "Bad Stuff" on y-axis

It's important to consider a variety of possible scenarios when looking at data to potentially predict the future. (Courtesy of Randall Munroe. License: CC-BY-NC.) 

Instructor(s)

MIT Course Number

18.S190 / 6.S083

As Taught In

Spring 2020

Level

Undergraduate

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Course Description

Course Features

Course Description

This half-semester course introduces computational thinking through applications of data science, artificial intelligence, and mathematical models using the Julia programming language. This Spring 2020 version is a fast-tracked curriculum adaptation to focus on applications to COVID-19 responses.

See the MIT News article Computational Thinking Class Enables Students to Engage in Covid-19 Response

Other Versions

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OCW has published multiple versions of this subject. Question_OVT logo

Related Content

Alan Edelman, and David Sanders. 18.S190 Introduction to Computational Thinking with Julia, with Applications to Modeling the COVID-19 Pandemic. Spring 2020. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.


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