This course introduces an elegant and practical alternative to purely lock based parallelism by exploiting data & task parallelism intrinsic to many problems. It also emphasizes the mathematical requirements to use such tooling. The course slides/videos provide an good theoretical introduction with short code examples. The (fun ;-) )ctional exercises greatly echo the theoretical course with problems which appear almost effortless to parallelize.

First 3 weeks were cool, but the last week was somehow rushed and the assignment did not involve any parallel programming.

Amazing practice assignments! It was very interesting to solve them.

Plus: Very in-depth lectures, challenging assignments. Minus: The actual parallel code somewhat remains a black-box, assignments sometimes focus more on figuring out the algorithm logic which may not have anything to do with the course. Still I enjoyed it and learned a great deal.

It would be great to add some popular frameworks and some basics of reactive programming

The tasks are not well designed for online education

Needs to be updated for more modern versions of Scala.

it would be great to have a few more pointers how to debug code in parallel

Nice and complicated

Very good introductory theoretical foundation for parallell algorithms, and background for

the Big Data Analysis with Scala and Spark course.