Merge pull request #124 from RENCI-NRIG/escott-6

third freaking try

Author: erikscott

newsite/index.md

@@ -8,48 +8,68 @@ X-Ray Science) develops training materials for the community of
 scientists and researchers using the [CHESS] synchrotron X-ray
 facility and similar light sources.
 
-This is the training overview:
+Our training modules will get you up to speed in working with the
+CyberInfrastructure ("CI") at CHESS - the High Performance Computing
+(HPC)
+and Networking resources. Understanding the CI and how to use it is
+practically essential for making the most of your beamline time and
+the analysis that follows after the fact.
+
+Below you'll find links to the training modules we have
+developed. These are grouped by general topic into "Themes". The first
+theme is named "Essential Elements" and is, as the name suggests,
+absolutely critical. Make certain you understand the material in that
+theme before you move on to the others, but once you cross this hurdle
+you can move through the other themes in any order. Some of the
+Essentials topics may be old hat to you (Python programming, for
+instance) while other are highly CHESS-specific (Data Collection).
+
+## Theme 0: Essential Elements
+
+- XS 100: [Data collection, preparing input parameters, SPEC and
+  CLI][xs100]
+- SF 100: [Intro to Linux, the command line, and programming in Python][sf100]
+- XS 101: [Basic / on-the-fly data analysis, viewing detector
+  images][xs101]
+- PE 100: [Python Programming and Jupyter notebooks][pe100]
+
+
+
 
 ## Theme 1: Programming Fundamentals
 
-- PE 100: [Python Programming and Jupyter notebooks][pe100]
 - PE 101: [Using Python packages & libraries, Conda][pe101]
 - PE 102: [Numerical data analysis with Python][pe102]
 - PE 103: [Software version control][pe103-vcs],
-  [testing][pe103-testing], and [debugging][pe103-debugging] 
-
+  [testing][pe103-testing], and [debugging][pe103-debugging]
+  
 ## Theme 2: Systems Fundamentals
 
-- SF 100: [Intro to Linux, the command line, and programming in Python][sf100]
-- SF 101: [Containers and virtualization][sf101] 🚧
-- SF 200: [Parallel computing concepts][sf200] 🚧 
-- SF 201: [Batch systems and compute farms with CHESS example][sf201] 🚧
+- SF 101: [Containers and virtualization][sf101] 
+- SF 200: [Parallel computing concepts][sf200]  
+- SF 201: [Batch systems and compute farms with CHESS example][sf201] 
 
 ## Theme 3: Distributed Computing and the CI Ecosystem
 
 - DC 100: [Distributed computing concepts][dc100] 
 - DC 101: [Scientific workflow management][dc101] 
-- DC 102: [Using science gateways with Open OnDemand example][dc102] 🚧
+- DC 102: [Using science gateways with Open OnDemand example][dc102] 
 - DC 200: [Computing with CI ecosystem - ACCESS, PATh, Campus][dc200] 
 
 ## Theme 4: X-Ray Science S&E Software
 
-- XS 100: [Data collection, preparing input parameters, SPEC and
-  CLI][xs100]
-- XS 101: [Basic / on-the-fly data analysis, viewing detector images][xs101]
 - XS 102: [Large-scale data analysis: from images to science
-  parameters to interpretation][xs102] 🚧
-- XS 200: [Metadata for data fidelity and systematic checks][xs200]  🚧
+  parameters to interpretation][xs102] 
+- XS 200: [Metadata for data fidelity and systematic checks][xs200]  
 
 ## Theme 5: Data Curation and FAIR
 
-- CF 100: [Intro to domain metadata standards, formats and repositories][cf100] 🚧
-- CF 101: [Best practices for developing DMP][cf101] 🚧
-- CF 102: [Metadata annotation and DOI][cf102] 🚧
-- CF 200: [Curating data, code, workflows, and publishing][cf200] 🚧
+- CF 100: [Intro to domain metadata standards, formats and repositories][cf100] 
+- CF 101: [Best practices for developing DMP][cf101] 
+- CF 102: [Metadata annotation and DOI][cf102] 
+- CF 200: [Curating data, code, workflows, and publishing][cf200] 
 
 
-[Meanwhile...][newsite]
 
 <!-- References -->
 
@@ -85,4 +105,3 @@ This is the training overview:
 [cf102]: ./theme5/CF102/metadata-annotation-and-doi.md
 [cf200]: ./theme5/CF200/curating-data.md
 
-[newsite]: ./newsite/index.md