[Haskell-cafe] Suggestions for "Advanced" Topics for Haskell-based Class

Joe Quinn headprogrammingczar at gmail.com
Wed Jan 25 01:25:25 UTC 2017

On 1/24/2017 5:58 PM, Noon van der Silk wrote:
> I think something useful could be memory concerns: analysing space 
> leaks, strictness, fusion, and related areas.
> --
> Noon
> On Wed, Jan 25, 2017 at 9:14 AM, KC <kc1956 at gmail.com 
> <mailto:kc1956 at gmail.com>> wrote:
>     I would encourage GUI development using GHCJS or FRP or ... :)
>     On Tue, Jan 24, 2017 at 12:53 PM, Conrad Cunningham
>     <hcc.olemiss at gmail.com <mailto:hcc.olemiss at gmail.com>> wrote:
>         I am teaching a class in Haskell-based functional programming
>         for advanced undergraduates and beginning graduate students at
>         my institution. None of the students have previously used
>         Haskell and for most of my students functional programming is new.
>         Because I am teaching this in a "multiparadigm programming"
>         course, I want to expand beyond what I have usually covered in
>         the Haskell-based "functional programming" course and cover a
>         few topics in areas such as parallel, concurrent, distributed,
>         reactive, or metaprogramming (domain-specific languages,
>         Template Haskell, etc.).
>         Assuming my course has more or less covered the topics in
>         /Learn You a Haskell for Great Good /(with likely shallow
>         coverage of monads) at that point, what would be good
>         additional topics to cover, libraries to use, and tutorial or
>         teaching resources to use?  Although I have taught fundamental
>         Haskell FP topics for many years, I have not delved into any
>         of these "advanced" topics.
>         Thanks,
>         Conrad
>         -- 
If you want to focus on math a bit, start with purity/parametricity/type 
safety, and then work up from there. You can lead into the Curry-Howard 
isomorphism and theorem proving languages like agda, or look in the 
direction of -XSafe, or the algebra of ADTs / free theorems / djinn. 
Both of these trains of thought eventually merge at the idea of 
automation acquiring knowledge from code and using it to write more code 
for you.
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