Thanks Sarven,
Sounds like you have flesh on very much the sort of thing I was thinking.
And in fact you are reporting success too, which is great.
And yes, definitely turtle/n3, and even the command line world too!
Very best
Hugh
On 12 Jul 2014, at 13:38, Sarven Capadisli <[email protected]> wrote:

> On 2014-07-12 13:02, Hugh Glaser wrote:
>> The other day I was asked if I would like to run a Java module for some 
>> Physics & Astronomy students.
>> I am so far from plain Java and that sort of thing now there was almost a 
>> cognitive dissonance.
>> 
>> But it did cause me to ponder on about what I would do for such a 
>> requirement, given a blank sheet.
>> 
>> For people whose discipline is not primarily technical, what would a 
>> syllabus look like around Linked Data as a focus, but also causing them to 
>> learn lots about how to just do stuff on computers?
>> 
>> How to use a Linked Data store service as schemaless storage:
>> bit of intro to triples as simply a primitive representation format;
>> scripting for data transformation into triples - Ruby, Python, PHP, awk or 
>> whatever;
>> scripting for http access for http put, delete to store;
>> simple store query for service access (over http get);
>> scripting for data post-processing, plus interaction with any data analytic 
>> tools;
>> scripting for presentation in html or through visualisation tools.
>> 
>> It would be interesting for scientists and, even more, social scientists, 
>> archeologists, etc (alongside their statistical package stuff or whatever).
>> I think it would be really exciting for them, and they would get a lot of 
>> skills on the way - and of course they would learn to access all this Open 
>> Data stuff, which is becoming so important.
>> I’m not sure they would go for it ;-)
>> 
>> Just some thoughts.
>> And does anyone knows of such modules, or even is teaching them?
>> 
>> Best
>> Hugh
>> 
> 
> Hi Hugh,
> 
> I teach a few introductory lectures on Linked Data, HTTP, URI, RDF, SPARQL as 
> part of a Web and Internet Technologies course to students in Business IT at 
> the Bern University of Applied Sciences. Majority of the students do not have 
> a developer profile. Focus of the lessons is not about the inner technical 
> details of these technologies, but via some practical work, what they can 
> take away: understanding some publishing and consuming challenges for data on 
> the Web, and potentially communicating problems and solutions to their 
> colleagues with technical expertise in the future.
> 
> What I have observed:
> 
> * Before going any further, examples on the state of things and the 
> potentials of what can be accomplished is vital. If they are not remotely 
> excited, it sets the tone for the remainder of the lectures.
> 
> * At first they do not completely take the importance of HTTP/URI seriously. 
> "They've seen them, they know" mentality. The exercises around that is about 
> designing their own URI patterns for their site/profile, and repeating the 
> importance of "Cool URIs" and what that entails over and over.
> 
> * Majority of the students understand the RDF data model and can express 
> statements (either using human language or one of the formats). I usually 
> bounce back and forth between drawing graphs on the board, and showing, 
> dereferencing, browsing RDF resources, and pointing at people and objects in 
> and outside of the room.
> 
> * As far as their comprehension for the formats i.e., how to write some 
> statements that's mostly syntactically valid, Turtle/N-Triples lead the pack. 
> RDF/XML and RDFa usually turn out to be a disaster. Most do not bother with 
> JSON(-LD).
> 
> * Once they get the hang of Turtle, they do relatively well in SPARQL. I've 
> noticed that it is via SPARQL examples, trials and errors, they really get 
> the potential of Linked Data. Along the way, it appears to reassure them that 
> RDF and friends are powerful and will come in handy.
> 
> 
> IMHO:
> 
> Although I welcome them to use any format for exercises and whatnot, I 
> encourage them to use Turtle or N-Triples. I tell them that learning Turtle 
> is the best investment because they can use that knowledge towards SPARQL. 
> However, Turtle comes with a few syntactical "traps" and declarations, that, 
> I secretly wish that they use N-Triples instead to learn to create statements 
> for the sake of simplicity. After all, N-Triples is as WYSIWYG as it gets!
> 
> With a blank slate:
> 
> In most cases: I have a strong bias towards *nix command-line toolbox and 
> shell scripting over alternative programming languages. *Out of the box*, the 
> shell environment is remarkable and indispensable. The documentation is baked 
> in. Working in this environment leads to some design decisions as described 
> in http://www.faqs.org/docs/artu/ch01s06.html. One can do everything from 
> data processing, transformations, inspection, analysis to parallelization 
> here. Besides, it is the perfect glue for everything else.
> 
> 
> -Sarven
> http://csarven.ca/#i

-- 
Hugh Glaser
   20 Portchester Rise
   Eastleigh
   SO50 4QS
Mobile: +44 75 9533 4155, Home: +44 23 8061 5652



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