From 45aae264b3d7b959ec8c21368c350fcb637e26f4 Mon Sep 17 00:00:00 2001 From: Vivek Gopalakrishnan Date: Thu, 12 Nov 2020 08:02:36 -0500 Subject: [PATCH] Update syllabus.md --- _pages/syllabus.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/_pages/syllabus.md b/_pages/syllabus.md index 5883c69..e60a880 100644 --- a/_pages/syllabus.md +++ b/_pages/syllabus.md @@ -25,12 +25,12 @@ The duration and major goals of each sprint is detailed below: - Start making progress on you issue. - _Note:_ Sprint 0 is meant to be a little confusing! Fully understanding and scoping a yearlong project is hard. It's important to take this time with your team and instructors to synthesize as much background as you can. - **Sprint 1 (fall break until the day of the NDD fall final)** is devoted to learning _basic data science skills_. You will implement or fix some algorithm, or demonstrate its capabilities and limitations. - - **Successfully merge your PR into our fork of a repo.** This means that the TAs must approve the code you have written (see [PR guidelines](./pr.md)). This process requires time and multiple iterations! Be prepared to submit your first draft of the PR at least 3 weeks before the final for NDD. - - Submit your PR to the real repo. -- **Sprint 2 (spring semester until spring break)** is devoted to _applying basic data science knowledge_. - - PR merged into real repo. - - AND (optionally) running your newly-developed methods on real data! -- **Sprint 3 (spring break until the day of the NDD spring final)** is devoted to *technically communication* and knowledge transfer. + - **Successfully merge your PR.** This means that the TAs must approve the code you have written (see [PR guidelines](./pr.md)). This process requires time and multiple iterations! Be prepared to submit your first draft of the PR at least 3 weeks before the final for NDD. + - If you were working on the NDD fork of your repo, you should now submit to the real repo. +- **Sprint 2 (spring semester until spring break)** is devoted to _applying basic data science knowledge_. You can do one or both of the following: + - Pick a new issue to work on and successfully merge, or + - Run your newly-developed methods on real data! +- **Sprint 3 (spring break until the day of the NDD spring final)** is devoted to *technical communication* and knowledge transfer. - Manuscript submitted to arxiv detailing your contributions to the open-source scientific software ecosystem. - OR another PR merged into a real repo.