Welcome to the new course MIT 18.S191, the debut edition, Fall 2020!
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.
- Image analysis
- Particle dynamics and ray tracing
- Epidemic propagation
- Climate modeling
Alan Edelman, David P. Sanders, Grant Sanderson, & James Schloss
Course materials will be published on the accompanying website: https://mitmath.github.io/18S191/Fall20/
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.)
- No exams
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.
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