You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: _pages/syllabus.md
+6-6Lines changed: 6 additions & 6 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -25,12 +25,12 @@ The duration and major goals of each sprint is detailed below:
25
25
- Start making progress on you issue.
26
26
-_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.
27
27
-**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.
28
-
-**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.
29
-
-Submit your PR to the real repo.
30
-
-**Sprint 2 (spring semester until spring break)** is devoted to _applying basic data science knowledge_.
31
-
-PR merged into real repo.
32
-
-AND (optionally) running your newly-developed methods on real data!
33
-
-**Sprint 3 (spring break until the day of the NDD spring final)** is devoted to *technically communication* and knowledge transfer.
28
+
-**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.
29
+
-If you were working on the NDD fork of your repo, you should now submit to the real repo.
30
+
-**Sprint 2 (spring semester until spring break)** is devoted to _applying basic data science knowledge_. You can do one or both of the following:
31
+
-Pick a new issue to work on and successfully merge, or
32
+
-Run your newly-developed methods on real data!
33
+
-**Sprint 3 (spring break until the day of the NDD spring final)** is devoted to *technical communication* and knowledge transfer.
34
34
- Manuscript submitted to arxiv detailing your contributions to the open-source scientific software ecosystem.
0 commit comments