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

The tasks are not well designed for online education

Great course with very entertaining exercises!

Perfect! Learning Parallel Programming, I can learn more about Spark and Flink. Thanks

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.

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

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.

Very interesting material, especially the prefix sum algorithms about, how to transform a sequential problem into a parallel problem.

exercise are too heavy

Like the other courses in this series, the lectures and exercises are excellent. Coming from a communications background, this course presented me with an opportunity to build on what I already knew but also offered new and interesting insights related to algorithm performance tuning. The course has a nice mix of theory and serviceable information. If you've never done any type of high-performance computing, this is a nice gentle introduction into the subject. The instructions took a lot of time to build fun and interesting exercises that are meticulously constructed.

This course analyse the parallel programming from both practical and theoretical point of view. It gives the instruments both to understand the Scala library in its completeness and expressiveness in parallel computing, and the theoretical knowledge to understand what's "under the hood", to allow the student to understand whether the parallelism could be effective or not.

I greatly suggest this course to anyone interested in parallel computing.

Hard course, but gives good insights about the challenges and solutions for parallel programming.

Very interesting, with difficult examples and task. Spent a lot of time analyzing weekly assignments but it was totally worth.

All but the last assignment are interesting. A fair amount of the lectures are also good, even though some of them are too theoretical - the bad lectures are the ones that focus too much into proving mathematical properties, but thankfully there is just a few of those.

The last assignment is considerably larger than the other ones and requires a physics background (or interest to do research on your own). I think they could improve it by approaching the material independently with smaller exercises before applying them again into the larger application that is built as part of the assignment today.

Excelente curso...

just one point to improve: some lib in Scala are not be told to install and use

The topic is well explained in the videos and the assignments are challenging and fun. I really enjoyed how they (the assignments) are usually put in a context, e.g. they are part of some project and you can see some outcome.

For now, the worst course in Specialization.

Great insight to the Parallel programming in Scala.

Assignments are too easy compared to 2 previous courses. I've been asked lot less than been given. And did not grasp everything in the lectures at the end.