Course Meeting Times
Lectures: 2 sessions / week, 1.5 hours / session
Prerequisites
There are no prerequisites.
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.
Format
This course was offered entirely online while the MIT campus was shut down due to the Covid-19 pandemic. Lectures were mostly delivered live (via Zoom). The instructors used the Piazza platform to host class Q&A.
Technical Requirements
Student need to install the Julia programming language, as well as other tools and packages. Complete instructions are listed on the GitHub course page.
Problem Sets & Exams
There are five problem sets and no exams.
Grading Policy
The lowest score of the 5 problem sets will be dropped. The grade is based upon 25% for each of the other 4 problem sets.
