This is a good course that has some really interesting assignments. The lectures are understandable and the topics are explained a bit nicer than a lot of theory in the other Scala courses from Martin Odersky, who conveys knowledge in a more "textbook" form. I am, however, taking one star out for the last assignment which was rather muddy in terms of explanation, long and not easy to debug due to it's size and parallel aspects. I felt way more positive about all other assignments on this course.

Good course but scala understanding is required for this course. So please register for prior course in the certification task to easily complete this course.

Pretty good course

Great explanations and insights around parallel programming. The instructors help you understand how parallel programming works and are doing great in making the complex topic understandable. To improve it further, there could be more explanations on performance differences between alternative solutions as well as some guidance on how to apply these ideas in practical Scala programming.

Nice course! I learned a lot...

I can be further improved if the class can touch on design patterns using Future and Actor, in addition to the data structure oriented materials.

Very good course. Conc-list was brilliant.

Automated correction tool could do with more verbosity on failed test cases.

What a difficult course it is!

Nevertheless, it was very helpful.

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?

Insightful, though I am not sure if in non R&D/Academia settings the knowledge here can easily be applied.

Awesome course to learn parallel programming and advantage of scala to achieve this.

Learned how to think algorithms in parallel being careful that it's not always better to do everything in parallel.

The only thing I didn't like that much is that the course has too many mathematical explanations and maybe that lectures should be optional for those that want to go further.

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.

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

Good class but sometimes the exercises seemed unnecessarily complicated for explaining the concepts.

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!

Great course!

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.

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

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.

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.

Most of the concepts and explanations were good but the assignments could be better organized. I wasn't sure what I was doing for a while, and the test cases don't cover the code in a way that progresses naturally. Some parts of it can't be tested until most of the code is written, and then major portions of the code isn't even tested until it's submitted. It would be great if the tests progressed along with the code and people didn't have to guess at the correct solution but just knew it was right when they got it.

The course is good but is not focused on scala features. It is more generic parallel programming approach.

There was some really nice material covered in this course. For me, this was the best one so far in the series. The instructors presented clear and understandable lectures. The week #4 programming task was a bit harder for me, but only because I kept forgetting to think simple and reflect on what had been covered in the course. Once I stepped away and came back everything fell into place.

Too difficult, especially the last week, especially for person without strong math background. I felt that material from the two last weeks is important and necessary to grasp PP, but speed should be slower.

I think the best way to improve this course would be splitting 3 and 4 weeks to obtain 6 weeks course like the first one in the specialization.

Good topics and assignments. Wasn't as impressed by the course as the ones taught by Odersky.