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Feb 14, 2022
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Remove incorrect MOOC links #1341

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12 changes: 8 additions & 4 deletions news/_posts/2018-02-27-moocs-edx-support.md
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Expand Up @@ -6,6 +6,10 @@ by: Julien Richard-Foy
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> **Update**: After a couple of years experimenting with Open edX, we decided
> to shut down these course instances. You can find an up-to-date list of
> online courses [here](https://docs.scala-lang.org/online-courses.html).

We are thrilled to announce that our 4 main MOOCs are now also available
on an [Open edX instance managed at EPFL](https://courseware.epfl.ch).

Expand All @@ -18,16 +22,16 @@ that confirm that you successfully completed a course).

As a reminder, the courses are the following:

- [Functional Programming Principles in Scala](https://courseware.epfl.ch/courses/course-v1:EPFL+progfun1+2018_T1/info):
- Functional Programming Principles in Scala:
An introduction to functional programming (pure functions, recursion, pattern matching, higher-order
functions, immutable data types, type parameters, equational reasoning),
- [Functional Program Design in Scala](https://courseware.epfl.ch/courses/course-v1:EPFL+progfun2+2018_T1/info):
- Functional Program Design in Scala:
A follow-up of the first course, showing how to apply the functional programming style
to larger programs. Covers topics such as monads, lazy evaluation, property-based testing,
futures and dataflow programming.
- [Parallel Programming](https://courseware.epfl.ch/courses/course-v1:EPFL+parprog1+2018_T1/info):
- Parallel Programming:
Introduces the fundamentals of parallel programming, from task parallelism to data parallelism,
- [Big Data Analysis with Scala and Spark](https://courseware.epfl.ch/courses/course-v1:EPFL+scala-spark-big-data+2018-T1/info):
- Big Data Analysis with Scala and Spark:
Extends the data parallel paradigm to the distributed case (as opposed to shared-memory parallel
or sequential collections), using Spark.

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