Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
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6.S083 / 18.S190 - Introduction to Computational Thinking with Julia, with applications to modelling the COVID-19 pandemic
Welcome to 6.S083 / 18.S190 (doubly 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.
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Visiting Professor David P. Sanders (firstname.lastname@example.org) & Professor Alan Edelman
MW 3 - 4.30, online. (Registered students will receive a Zoom link.)
Lectures will be mostly live at the above times, with recordings posted when available. There will be some pre-recorded snippets.
Start date: March 30, 2020.
Office hours TBD
Installation of Julia
You will need to install Julia, and various packages by carefully following the detailed instructions here. (Note that you do not need to separately install the Jupyter notebook – it will be installed for you as part of the installation process. It is possible to use a pre-existing installation, but we recommend against it. This will install a new, separate copy of it.)
5 problem sets, lowest score dropped. 25% for each of the other 4 problem sets.
Released on Tuesday and due the following Tuesday until May 5.
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.
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/mitmath/6S083
This will create a new directory called
6S083 with the matierials.
- Update it to pull in new changes
This needs to be executed from within the directory. (Use
cd to change directory.)
See here for the course syllabus and schedule.