@@ -16,15 +16,15 @@ practically essential for making the most of your beamline time and
1616the analysis that follows after the fact.
1717
1818Below you'll find links to the training modules we have
19- developed. These are grouped by general topic into "Themes". The first
20- theme is named "Essential Elements" and is, as the name suggests,
21- absolutely critical. Make certain you understand the material in that
22- theme before you move on to the others, but once you cross this hurdle
23- you can move through the other themes in any order. Some of the
24- Essentials topics may be old hat to you (Python programming, for
25- instance) while other are highly CHESS-specific ( Data Collection) .
19+ developed. These are grouped by general topic into themes; the first
20+ is named "Essential Elements" and is absolutely critical. Make certain
21+ you understand the material in that section before you move on to the
22+ others, but once you cross this hurdle you can move through the other
23+ collections in any order. Some of the Essentials topics may be old hat
24+ to you (Python programming, for instance) while others are highly
25+ CHESS-specific - Data Collection, for instance .
2626
27- ## Theme 0: Essential Elements
27+ ## Essential Elements
2828
2929- XS 100: [ Data collection, preparing input parameters, SPEC and
3030 CLI] [ xs100 ]
@@ -36,33 +36,33 @@ instance) while other are highly CHESS-specific (Data Collection).
3636
3737
3838
39- ## Theme 1: Programming Fundamentals
39+ ## Programming Fundamentals
4040
4141- PE 101: [ Using Python packages & libraries, Conda] [ pe101 ]
4242- PE 102: [ Numerical data analysis with Python] [ pe102 ]
4343- PE 103: [ Software version control] [ pe103-vcs ] ,
4444 [ testing] [ pe103-testing ] , and [ debugging] [ pe103-debugging ]
4545
46- ## Theme 2: Systems Fundamentals
46+ ## Systems Fundamentals
4747
4848- SF 101: [ Containers and virtualization] [ sf101 ]
4949- SF 200: [ Parallel computing concepts] [ sf200 ]
5050- SF 201: [ Batch systems and compute farms with CHESS example] [ sf201 ]
5151
52- ## Theme 3: Distributed Computing and the CI Ecosystem
52+ ## Distributed Computing and the CI Ecosystem
5353
5454- DC 100: [ Distributed computing concepts] [ dc100 ]
5555- DC 101: [ Scientific workflow management] [ dc101 ]
5656- DC 102: [ Using science gateways with Open OnDemand example] [ dc102 ]
5757- DC 200: [ Computing with CI ecosystem - ACCESS, PATh, Campus] [ dc200 ]
5858
59- ## Theme 4: X-Ray Science S&E Software
59+ ## X-Ray Science S&E Software
6060
6161- XS 102: [ Large-scale data analysis: from images to science
6262 parameters to interpretation] [ xs102 ]
6363- XS 200: [ Metadata for data fidelity and systematic checks] [ xs200 ]
6464
65- ## Theme 5: Data Curation and FAIR
65+ ## Data Curation and FAIR
6666
6767- CF 100: [ Intro to domain metadata standards, formats and repositories] [ cf100 ]
6868- CF 101: [ Best practices for developing DMP] [ cf101 ]
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