Welcome to MIT 18.S191 aka 6.S083 aka 22.S092, Fall 2020 edition!
This is Fall 2020. For Spring 2021, see our new website.
This is an introductory course on Computational Thinking. We use the Julia programming language to approach real-world problems in varied areas applying data analysis and computational and mathematical modeling. In this class you will learn computer science, software, algorithms, applications, and mathematics as an integrated whole.
Particle dynamics and ray tracing
The course has now concluded, but you can still take it at your own pace from this website! Feel free to hang out in the course discord server and ask questions!
MIT's Free Online Course to Learn Julia — The Rising Star — Review of 18.S191 by Towards AI Newsletter
the course is exceptional🎇🎇🎇— YT Cai (@Yitao_CAI) December 15, 2020
I cannot recommend this class enough, it’s awesome. https://t.co/4BsBEygeLd
— James Doss-Gollin (@jdossgollin) December 16, 2020
Course materials will be published on this website.
TR 2:30–3:30pm EST, online (Go to the lecture page on this site to stream it.)
Tuesdays: Prerecorded videos, released on YouTube and played live on this site.
Thursdays: Live sessions (same YouTube link 2:30–3) and MIT-only discussion (3-3:30); link to follow
Start date: September 1, 2020
Office hours TBD.
Discord: discussion (we encourage you to hang out here during class!)
Piazza: (MIT only) allows for anonymity to other students, discussion
Canvas: (MIT only) homework submission. If you're a non-MIT student, please find a partner to cross-grade homeworks via Discord.
12 weekly problem sets with equal weight; your lowest score will be dropped.
Released on Thursdays and due before the following Thursday's class. (No problem set during Thanskgiving week.)
Problem sets consist of code. MIT students enrolled in the course must submit homeworks via Canvas. If you are not a student then we encourage you to join the Discord and find a cross-grading partner.