{"id":19387415,"url":"https://github.com/mitmath/6s083","last_synced_at":"2025-04-05T04:13:33.404Z","repository":{"id":73036846,"uuid":"251138810","full_name":"mitmath/6S083","owner":"mitmath","description":"Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic","archived":false,"fork":false,"pushed_at":"2023-03-25T06:24:58.000Z","size":3248,"stargazers_count":503,"open_issues_count":0,"forks_count":165,"subscribers_count":44,"default_branch":"master","last_synced_at":"2025-03-29T03:09:20.219Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mitmath.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2020-03-29T21:30:08.000Z","updated_at":"2025-02-11T14:56:23.000Z","dependencies_parsed_at":null,"dependency_job_id":"533bf15d-9160-45d5-b479-3e8467d7dfdd","html_url":"https://github.com/mitmath/6S083","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitmath%2F6S083","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitmath%2F6S083/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitmath%2F6S083/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mitmath%2F6S083/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mitmath","download_url":"https://codeload.github.com/mitmath/6S083/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247284951,"owners_count":20913704,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-10T10:09:10.267Z","updated_at":"2025-04-05T04:13:33.384Z","avatar_url":"https://github.com/mitmath.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 6.S083 / 18.S190 - Introduction to Computational Thinking with Julia, with applications to modelling the COVID-19 pandemic\n\n## Spring 2020\n\nWelcome 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.\nIt is being taught at MIT in the 2nd half of the spring 2020 semester.\n\n### Course Materials\nSee [here](syllabus.md).\n\n\n\nPlease help edit the automatically-generated subtitles in the [lecture transcripts](https://drive.google.com/drive/folders/1ekXz8x78qnq3G-_MhOh6CYgFDbL2G6Vz)!\nIf 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.\n\n## Professors\nVisiting Professor David P. Sanders ([sandersd@mit.edu](mailto:sandersd@mit.edu)) \u0026 Professor Alan Edelman\n\n## Logistics\nMW 3 - 4.30, online. (Registered students will receive a Zoom link.)\n\nLectures will be mostly live at the above times, with recordings posted when available. There will be some pre-recorded snippets.\n\nStart date: March 30, 2020.\n\n\n\nOffice hours TBD\n\n\n\n### Discussion forum\n[Piazza](http://piazza.com/mit/spring2020/6s083)\n\n## Installation of  Julia\nYou will need to install Julia, and various packages by carefully following the detailed instructions [here](installation.md).\n(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.)\n\n\n\n### Office hours\nTBD\n\n### Evaluation\n\n*   5 problem sets, lowest score dropped. 25% for each of the other 4 problem sets.\n\n*   Released on Tuesday and due the following Tuesday until May 5.\n\n*   To pass, you must submit at least 4 problem sets with passing grades\n\n*   No final exam\n\nProblem sets consist of coding and will be submitted online.\n\n\n\n### Windows users\n\nIf you use Windows, please download Git for Windows [here](https://gitforwindows.org)\n\n### Getting the files\n\nTo get the files, use `git` from the command line (or from a GUI), as follows\n\n- Clone the repository once with\n```\ngit clone https://github.com/mitmath/6S083\n```\nThis will create a new directory called `6S083` with the matierials.\n\n\n- Update it to pull in new changes\n```\ngit pull\n```\nThis needs to be executed from within the directory. (Use `cd` to change directory.)\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmitmath%2F6s083","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmitmath%2F6s083","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmitmath%2F6s083/lists"}