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6.S083 / 18.S190 - Introduction to Computational Thinking, with applications to modelling the COVID-19 pandemic

Spring 2020

Welcome to 6.S083 / 18.S190 (dual listed)! This is an introductory course on Computational Thinking, using the Julia programming language, with applications to modelling the COVID-19 epidemic. It is being taught at MIT in the 2nd half of the spring 2020 semester.

Professors

Visiting Professor David P. Sanders (sandersd@mit.edu) & Professor Alan Edelman

Lectures

MW 3 - 4.30, online. (Registered students will receive a Zoom link.)

Start date: March 30, 2020.

Office hours

TBD

Evaluation

  • 5 problem sets, 20% each. Lowest score dropped.

  • To pass, you must submit at least 4 problem sets with passing grades

  • No final exam

Problem sets consist of coding and will be submitted online.

Windows users

If you use Windows, please download Git for Windows here

Getting the files

To get the files, use git from the command line (or from a GUI), as follows

  • Clone the repository once with
git clone https://github.com/dpsanders/6.S083

This will create a new directory called 6.S083 with the matierials.

  • Update it to pull in new changes
git pull

This needs to be executed from within the directory. (Use cd to change directory.)

Syllabus

See here for the course syllabus and schedule.

About

Materials for MIT class 6.S083 / 18.S190, spring 2020

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  • Jupyter Notebook 99.9%
  • Julia 0.1%