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 …
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
Learning Resource Types
theaters
Lecture Videos
assignment
Problem Sets
![Stick figure pointing at graph with "Time" on x-axis and "Bad Stuff" on y-axis](/courses/18-s190-introduction-to-computational-thinking-with-julia-with-applications-to-modeling-the-covid-19-pandemic-spring-2020/6de8ebc1dd0be8960d71d7cc53c0c6fb_18-S190s20.gif)
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.)