Apr 24, 2018
The course is fairly advanced and you would need to review the materials many times to understand the concept. The assignments are definitely fun and not as straightforward as other courses.
Aug 25, 2017
Superb study material. Learnt a lot during this course. I am not much into mathematical stuff, but got a hang of how to break problems and improve efficiency through parallelism.
автор: G. U M•
Aug 25, 2019
автор: DAVID J A•
Feb 12, 2018
автор: Animesh K•
Aug 09, 2017
автор: Leonardo C•
Jun 21, 2019
автор: Sanjeev R•
Aug 26, 2019
автор: Bjornn B O F F•
Jun 27, 2017
автор: IURII B•
Aug 03, 2017
автор: Deleted A•
May 28, 2016
автор: Oleksandr I•
May 21, 2017
Excellent course. Gives deep enough understanding of parallel programming. Used knowledge immediately to optimize my huge in-mem data structure to reach 50 ms (instead of 300 ms) response time. I'd suggest the following to improve: 1. I'd make "pass" score no less then 90 or even 95%. With 80 only it is possible to PASS having key mistake (e.g. on week4 I haven't created a new combiner, using old one, in combine() operation, and I still got 80 - PASSED) 2. tests in grader are hard to reproduce on local machine: it is not that obvious what's wrong, where to focus.
автор: Sriram K M K•
Oct 31, 2016
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.
автор: Hristo I•
Nov 01, 2016
The course is pretty hard, even for someone like me, who has been working in parallel computing for years. The reason is the structure of the course and the presentation of the material. The topics are somewhat chaotic and in many cases it is hard to tell whether a certain operator comes from the Scala standard library or is just an abstraction.
All in all, finishing the course is a rewarding experience. But beware, there is a significant gap between the foundation courses taught by Martin Odersky and this one.
автор: Daniel B•
Oct 10, 2019
Good course with a lot of interesting ideas and explanations. The reason I gave it a 4 and not a 5 is that I think it would have been better without involving instructors' own library on top of Scala instead of teaching Scala-level constructs directly. While I appreciate the notion of teaching general parallel programming ideas, introducing one's own constructs to promote it seems unnecessary - at the very least, these constructs' implementation should have been thoroughly explained in the course.
автор: Piotr G•
Nov 01, 2017
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.
автор: Gabriele A•
Oct 30, 2019
Really cool course. I'm enjoying scala as a language as it has many simple methods to achieve complex goals, including parallelization, however this course also presents parallelism in a rawer fashion explaining in depth some of the techniques to parallelize seemingly sequential-only tasks.
Last week's exercise is quite long, and albeit being a truly beautiful project, most of the implementation is not strictly related to parallel programming.
In any case a totally good course!
автор: Luciano P d S P•
Sep 12, 2016
The course was well covered and very informative. As someone with zero experience in parallelism, I felt I could've absorbed a lot more if the topics were not completely new to me.
As mentioned in other reviews, the last assignment, Barnes Hut Simulation, was very time consuming and I found myself spending more time trying to understand the problem rather than implementing it. That was very challenging for someone with low academic background.
автор: Evaldas M•
Oct 29, 2016
The course was ok, but at times too much theoretical when it comes to proofs of some methods are working as expected. I think its good to know the principles of parallelizing application and changing the potential algorithms, but this has applicability only in specific fields like comlex computations that need to be highly parallelized and less likely you would use these principles in standard backend development
автор: Brad H•
Dec 04, 2017
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.
автор: Benjamin S•
Nov 03, 2016
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.
автор: Joaquin B•
Oct 27, 2016
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.
автор: Franklin P•
Oct 12, 2016
This course had a lot of depth to it, both in the lectures and the programming assignments. The last assignment seemed needlessly complex with not enough focus on the parallel programming aspect. I wish there had been more of a focus on how to actually write the parallel and task constructs which were instead given already implemented without much explanation.
автор: Nikogosov D•
Jul 03, 2017
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.
автор: Nikolay M•
Jun 09, 2016
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.
автор: Oleksiy P•
Apr 21, 2017
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?
автор: Luca D S•
Dec 01, 2017
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
автор: Agustín B S•
Jun 19, 2017
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?