On the plus side:

The material is presented in concise and efficient manner. It required little knowledge of Scala and JVM. It kept hidden the underlying implementation of parallelism and task utilities.

On the minus side:

The homeworks were easy. I could fill in the gaps almost automatically and I don't feel like I know the matter.

I have one issue about week 4 "Append" tree. I did not get how Append correlates with binary digits. I would like to have some step by step example how will we create a tree like s1 = Single(1) appendLeaf Single(2), s2 = s1 appendLeaf Single(3), s3 = s2 appendLeaf Single(4), s4 = s4 appendLeaf Single(5) using binary digits?

The course got me a bit lost on the most theoretical parts about folding, because the explanations and the whole concept take a while to arrive to a completion, being quite complicated. I had to re-run over those a few times. Nevertheless, all the comparison between aggregators and lego blocks help quite a lot

I find the contents (theory behind) more challenging to follow than previous courses on the specialization, the nice thing is that the practical exercises are built so that they are still manageable and a good help to understand the lessons. I am missing Scala's actor model in this course, why is not there?

The course achieves its objectives, but the assignments require too much effort for solving general problems, and relatively little for parallelism-related tasks. In other words, understanding what the problem is takes far more time than solving it. The Lego-assisted teaching is a definite plus though!

Would be good to introduce more about Scala native solutions like Futures, parallel data structures and best ways of using them on practice, cases and best practices how to work with shared data, avoid deadlocks, how to work best when you have to process large data or when you have massive calculations.

It would be great to have some tests for understanding algorithms (like in algorithms course), not only practice programming assignments. Assignments are really interesting but can't verify your understand material or not. Also it is possible to pass assignment event if you have mistakes in the code.

Some missed explanations in the first week (mergedSort implementation)

Tha last two videos are quite difficult to understand. The ConcBuffer structure seems to be poweful, but the explanation and examples are tight.

In this course, the weekly tasks are explained very well. Thank you very much!

It requires more effort on undestanding the algorithms involved in the problems, rather than paralelism and its techniques. Instead of 4 weeks it would benefit of an additional week - for those who take the course after the regular work hours at their job. So 5 weeks would be more adequate.

I feel the concepts which are necessary to use in programming assignments are not discussed in the lectures enough. As result figuring out what the assignment steps are all about takes too much time. Some tasks are absolutely trivial, and others are simply too difficult.

There are some really boring parts, like 10 first minutes of many videolectures. It's kinda difficult to watch list.map explained in detail, since it's a course supposed to be taken after the one on basic Scala.

Overall - it's really good, I learned a lot.

Interesting course, very useful to get to know concepts of parallel programming. Assignments could be a little bit simpler but involving more programming from scratch, not just filling in methods bodies. This would help more to understand concepts.

Some problems with downloads and to view videos on the mobile app (Android), with some videos recorded with a low volume.

Despite that interesting and I think would need more time to get deeper in the concepts showed.

I learned very useful programming techniques, but I'm a bit lost as to whether these techniques are "good practices" or if they are "existing parallel programming features in Java, transposed as-is in Scala"

Appreciate the time spent by the authors to prepare all the course materials and the assignments. Everything clear and relatively self-contained. However, I still do not feel to be an expert in parallelism.

The course was really good. Got to learn so much about parallel programming with that course. The explanation level is very basic and any Computer Science related person can easily grasp the concepts

At its begining, this training doesn't look as polished and refined as the previous ones animated by Martin Odersky, but it quickly catch up with very efficient lessons and great practice exercises.

Very good. Only things I wish were better is more comments in some assignments and more prepared tests. Also I miss not having "Statement of Accomplishment" like some other Scala courses :-(.

I really learned to think of parallelism in different ways. My only issue was that a lot of the exercises required good spatial skills which are not my strength. Somehow though I passed.

The assignment could be optimized and avoid to be more academic since it may make student lost focus and spend too much time on the question itself rather than the parallel programming

Its a very good course! perhaps the in the practice code, before jumping into the problems they can provide a couple of simple examples/questions such that the main ideas are learnt.

Very challenging course, the assignments are more about practising using parallel programming, would be better to design an assignment to implement the parallel programming.

For this course you should have Advanced English level. Cause sentesce construction is so difficult and words so unusual that i had to some times google what i have to do.

Very good course overall on the basics of parallel programming in scala. Would have been nice to talk a bit more on the low level setup (parallel and task construct code).

Really good course covering some of the fundamentals of parallel programming, though for me I was hoping it would go into some of the Scala specifics a little more