https://github.com/mitmath/6s083
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
https://github.com/mitmath/6s083
Last synced: 12 months ago
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Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
- Host: GitHub
- URL: https://github.com/mitmath/6s083
- Owner: mitmath
- License: other
- Created: 2020-03-29T21:30:08.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2023-03-25T06:24:58.000Z (almost 3 years ago)
- Last Synced: 2025-03-29T03:09:20.219Z (12 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 3.1 MB
- Stars: 503
- Watchers: 44
- Forks: 165
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# 6.S083 / 18.S190 - Introduction to Computational Thinking with Julia, with applications to modelling the COVID-19 pandemic
## Spring 2020
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.
### Course Materials
See [here](syllabus.md).
Please help edit the automatically-generated subtitles in the [lecture transcripts](https://drive.google.com/drive/folders/1ekXz8x78qnq3G-_MhOh6CYgFDbL2G6Vz)!
If you do so, please add punctuation, and please change the colour of the part you edited to a colour other than black, and different from the previous and next sections.
## Professors
Visiting Professor David P. Sanders ([sandersd@mit.edu](mailto:sandersd@mit.edu)) & Professor Alan Edelman
## Logistics
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
### Discussion forum
[Piazza](http://piazza.com/mit/spring2020/6s083)
## Installation of Julia
You will need to install Julia, and various packages by carefully following the detailed instructions [here](installation.md).
(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.)
### Office hours
TBD
### Evaluation
* 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.
### Windows users
If you use Windows, please download Git for Windows [here](https://gitforwindows.org)
### 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
```
git pull
```
This needs to be executed from within the directory. (Use `cd` to change directory.)