A kaleidoscopic image produced by repeatedly concatenating arrays of pixel values in Julia. (Image of Philip the corgi courtesy of the instructors.)
Instructor(s)
Prof. Alan Edelman
Prof. David P. Sanders
Grant Sanderson
Dr. James Schloss
Henri Drake
MIT Course Number
18.S191 / 6.S083 / 22.S092
As Taught In
Fall 2020
Level
Undergraduate
Course Description
Course Features
Course Description
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. Topics include image analysis, particle dynamics and ray tracing, epidemic propagation, and climate modeling.
Other Versions
Other OCW Versions
OCW has published multiple versions of this subject. 