Updating agenda for day 2 and 3

larsvilhuber · larsvilhuber · commit 078538d50ed1 · 2021-08-19T06:48:13.000-04:00
diff --git a/web/index.Rpres b/web/index.Rpres
@@ -105,36 +105,39 @@ Homework - Day 1
 - Get comfortable with version control
   - create a file, version a file, delete a file, recover a previous file, branch, merge a branch
 - try out the Jupyter report yourself
+- More info on dynamic documents:
+  - RMarkdown
+  - Jupyter Notebook (or Python) [with Stata](https://www.stata.com/new-in-stata/jupyter-notebooks/)  
 
 Tentative Agenda - Day 2 (morning)
 ================
 
-- 9:00 - 11:50 [Introduction to parallel processing](../web/day2-3.html) (Lars, *Ivan Rudik*) (with breaks)
+- 9:00 - 9:30 Automation and reproducibility go hand-in-hand 
+  - Setup: A simple reproducible report in R
+  - Scripting the reproducible report
+- 9:30 - 12:00  Docker/ containers (with breaks)
+  - What is Docker
+  - How do you create and use containers?
+  - Full automation
+
+Tentative Agenda - Day 2 (afternoon)
+================
+
+- 13:00 - 16:00 [Introduction to parallel processing](../web/day2-3.html) (Lars, *Ivan Rudik*) (with breaks)
   - Subroutines and scalable programming (Lars) [slides](../documents/HPC_Class_SubRoutines-edited.pdf)
   - [High performance computing basics](../documents/hp-basics.pdf), parallel processing
   - Computing resources at Cornell and elsewhere ([BioHPC for economists](https://biohpc.cornell.edu/lab/ecco.htm), CISER, RedCloud, Amazon)
   - [Specific tools on BioHPC](https://biohpc.cornell.edu/lab/doc/using_BioHPC_CPUs.pdf)
   - Hands-on (R, Julia, Stata) (with *Ivan Rudik*) ([Ivan's Github](https://github.com/irudik/computational-tools-workshop))
 
 
-Tentative Agenda - Day 2 (afternoon)
-================
-
-- 13:00 - 14:00 Automation and reproducibility go hand-in-hand 
-  - Setup: A simple reproducible report in R
-  - Scripting the reproducible report
-- 14:00 - 16:00  Docker/ containers (with breaks)
-  - What is Docker
-  - How do you create and use containers?
-  - Full automation
-
 Tentative Agenda - Day 3
 ================
 
 (partially joint with LDI Replicator training)
 
-- A [template README](https://social-science-data-editors.github.io/template_README/) for better reproducible packages
-- Data provenance and citations: what is it, why, how
+- 9:00 - 10:00 A [template README](https://social-science-data-editors.github.io/template_README/) for better reproducible packages
+- 10:00 - 11:00 Data provenance and citations: what is it, why, how
     - Academic principles of attribution, proper data citation
     - [Extract from longer presentation](../documents/Vilhuber-Presentation2020-2020-06-27-extract.pdf) (original source: [10.5281/zenodo.3911311](http://doi.org/10.5281/zenodo.3911311))
     - [Training manual on data citations](https://labordynamicsinstitute.github.io/replicability-training-curriculum/datacitations.html), an expanded version of [guidance](https://social-science-data-editors.github.io/guidance/addtl-data-citation-guidance.html)
diff --git a/web/index.html b/web/index.html
@@ -944,6 +944,12 @@ <h3>Homework - Day 1</h3>
 <li>create a file, version a file, delete a file, recover a previous file, branch, merge a branch</li>
 </ul></li>
 <li>try out the Jupyter report yourself</li>
+<li>More info on dynamic documents:
+
+<ul>
+<li>RMarkdown</li>
+<li>Jupyter Notebook (or Python) <a href="https://www.stata.com/new-in-stata/jupyter-notebooks/">with Stata</a><br/></li>
+</ul></li>
 </ul>
 
 </div>
@@ -953,14 +959,18 @@ <h3>Homework - Day 1</h3>
 <h3>Tentative Agenda - Day 2 (morning)</h3>
 <div class="slideContent" >
 <ul>
-<li>9:00 - 11:50 <a href="../web/day2-3.html">Introduction to parallel processing</a> (Lars, <em>Ivan Rudik</em>) (with breaks)
+<li>9:00 - 9:30 Automation and reproducibility go hand-in-hand 
 
 <ul>
-<li>Subroutines and scalable programming (Lars) <a href="../documents/HPC_Class_SubRoutines-edited.pdf">slides</a></li>
-<li><a href="../documents/hp-basics.pdf">High performance computing basics</a>, parallel processing</li>
-<li>Computing resources at Cornell and elsewhere (<a href="https://biohpc.cornell.edu/lab/ecco.htm">BioHPC for economists</a>, CISER, RedCloud, Amazon)</li>
-<li><a href="https://biohpc.cornell.edu/lab/doc/using_BioHPC_CPUs.pdf">Specific tools on BioHPC</a></li>
-<li>Hands-on (R, Julia, Stata) (with <em>Ivan Rudik</em>) (<a href="https://github.com/irudik/computational-tools-workshop">Ivan&#39;s Github</a>)</li>
+<li>Setup: A simple reproducible report in R</li>
+<li>Scripting the reproducible report</li>
+</ul></li>
+<li>9:30 - 12:00  Docker/ containers (with breaks)
+
+<ul>
+<li>What is Docker</li>
+<li>How do you create and use containers?</li>
+<li>Full automation</li>
 </ul></li>
 </ul>
 
@@ -971,18 +981,14 @@ <h3>Tentative Agenda - Day 2 (morning)</h3>
 <h3>Tentative Agenda - Day 2 (afternoon)</h3>
 <div class="slideContent" >
 <ul>
-<li>13:00 - 14:00 Automation and reproducibility go hand-in-hand 
+<li>13:00 - 16:00 <a href="../web/day2-3.html">Introduction to parallel processing</a> (Lars, <em>Ivan Rudik</em>) (with breaks)
 
 <ul>
-<li>Setup: A simple reproducible report in R</li>
-<li>Scripting the reproducible report</li>
-</ul></li>
-<li>14:00 - 16:00  Docker/ containers (with breaks)
-
-<ul>
-<li>What is Docker</li>
-<li>How do you create and use containers?</li>
-<li>Full automation</li>
+<li>Subroutines and scalable programming (Lars) <a href="../documents/HPC_Class_SubRoutines-edited.pdf">slides</a></li>
+<li><a href="../documents/hp-basics.pdf">High performance computing basics</a>, parallel processing</li>
+<li>Computing resources at Cornell and elsewhere (<a href="https://biohpc.cornell.edu/lab/ecco.htm">BioHPC for economists</a>, CISER, RedCloud, Amazon)</li>
+<li><a href="https://biohpc.cornell.edu/lab/doc/using_BioHPC_CPUs.pdf">Specific tools on BioHPC</a></li>
+<li>Hands-on (R, Julia, Stata) (with <em>Ivan Rudik</em>) (<a href="https://github.com/irudik/computational-tools-workshop">Ivan&#39;s Github</a>)</li>
 </ul></li>
 </ul>
 
@@ -995,8 +1001,8 @@ <h3>Tentative Agenda - Day 3</h3>
 <p>(partially joint with LDI Replicator training)</p>
 
 <ul>
-<li>A <a href="https://social-science-data-editors.github.io/template_README/">template README</a> for better reproducible packages</li>
-<li>Data provenance and citations: what is it, why, how
+<li>9:00 - 10:00 A <a href="https://social-science-data-editors.github.io/template_README/">template README</a> for better reproducible packages</li>
+<li>10:00 - 11:00 Data provenance and citations: what is it, why, how
 
 <ul>
 <li>Academic principles of attribution, proper data citation</li>
diff --git a/web/index.md b/web/index.md
@@ -103,36 +103,39 @@ Homework - Day 1
 - Get comfortable with version control
   - create a file, version a file, delete a file, recover a previous file, branch, merge a branch
 - try out the Jupyter report yourself
+- More info on dynamic documents:
+  - RMarkdown
+  - Jupyter Notebook (or Python) [with Stata](https://www.stata.com/new-in-stata/jupyter-notebooks/)  
 
 Tentative Agenda - Day 2 (morning)
 ================
 
-- 9:00 - 11:50 [Introduction to parallel processing](../web/day2-3.html) (Lars, *Ivan Rudik*) (with breaks)
+- 9:00 - 9:30 Automation and reproducibility go hand-in-hand 
+  - Setup: A simple reproducible report in R
+  - Scripting the reproducible report
+- 9:30 - 12:00  Docker/ containers (with breaks)
+  - What is Docker
+  - How do you create and use containers?
+  - Full automation
+
+Tentative Agenda - Day 2 (afternoon)
+================
+
+- 13:00 - 16:00 [Introduction to parallel processing](../web/day2-3.html) (Lars, *Ivan Rudik*) (with breaks)
   - Subroutines and scalable programming (Lars) [slides](../documents/HPC_Class_SubRoutines-edited.pdf)
   - [High performance computing basics](../documents/hp-basics.pdf), parallel processing
   - Computing resources at Cornell and elsewhere ([BioHPC for economists](https://biohpc.cornell.edu/lab/ecco.htm), CISER, RedCloud, Amazon)
   - [Specific tools on BioHPC](https://biohpc.cornell.edu/lab/doc/using_BioHPC_CPUs.pdf)
   - Hands-on (R, Julia, Stata) (with *Ivan Rudik*) ([Ivan's Github](https://github.com/irudik/computational-tools-workshop))
 
 
-Tentative Agenda - Day 2 (afternoon)
-================
-
-- 13:00 - 14:00 Automation and reproducibility go hand-in-hand 
-  - Setup: A simple reproducible report in R
-  - Scripting the reproducible report
-- 14:00 - 16:00  Docker/ containers (with breaks)
-  - What is Docker
-  - How do you create and use containers?
-  - Full automation
-
 Tentative Agenda - Day 3
 ================
 
 (partially joint with LDI Replicator training)
 
-- A [template README](https://social-science-data-editors.github.io/template_README/) for better reproducible packages
-- Data provenance and citations: what is it, why, how
+- 9:00 - 10:00 A [template README](https://social-science-data-editors.github.io/template_README/) for better reproducible packages
+- 10:00 - 11:00 Data provenance and citations: what is it, why, how
     - Academic principles of attribution, proper data citation
     - [Extract from longer presentation](../documents/Vilhuber-Presentation2020-2020-06-27-extract.pdf) (original source: [10.5281/zenodo.3911311](http://doi.org/10.5281/zenodo.3911311))
     - [Training manual on data citations](https://labordynamicsinstitute.github.io/replicability-training-curriculum/datacitations.html), an expanded version of [guidance](https://social-science-data-editors.github.io/guidance/addtl-data-citation-guidance.html)
