18.S191: Introduction to computational thinking for real-world problems

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Fall 2020 (9 Units)

Welcome to the new MIT course 18.S191!

This is an introductory course on Computational Thinking, using the modern Julia programming language, to approach real-world problems in the following areas via data analysis and computational and mathematical modeling. In this class you will learn applications, computer science, software, algorithms, and mathematics as an integrated whole.

• Image analysis
• Particle dynamics and ray tracing
• Epidemic propagation
• Climate modeling

Course Materials

Course materials will be posted here.

Julia learning materials may be found here

Professors

Alan Edelman, David P. Sanders, Grant Sanderson, & James Schloss

Logistics

TR 2:30–3:30pm, online

• Tuesdays: Prerecorded videos, released on YouTube (link to follow later)

• 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.

Discussion forum and homework submission

• Discord: discussion

• Piazza: allows for anonymity to other students, discussion

• Canvas: homework submission

Evaluation

• 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 coding and will be submitted online via Canvas.

Go to Lectures and Problem Sets 🎈