simple to understand

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.

Force students to develop the assignment code by TDD, which is very good. All the assignments are not just toy problems, which is excellent as well. If you want to learn some parallel programming algorithms, you do choose this course. The drawbacks may be that some of the concepts or expression in the lectures are obscured. Although the assignments cover almost all the important algorithms and data structures, like UpSweep, DownSweep, reducing tree and combiners, the exercises on these things are not enough.

very great lecture, but some homework is too easy.

This is one of the most dense and solid courses on Coursera and I really enjoyed tackling it

Great material.

Good course. The only thing I would suggest to improve is in the Assignments, the error messages are not always sufficient information to recreate the bug that caused the error, so it is hard to correct the bug (since if you don't recreate the bug, you don't find the root cause). On the other hand it's understandable, that giving away too much info from the grader makes it easier to "workaround" the failed test without necessarily providing a good solution. Tricky trade-off.

Anyway, both the lecturers do a very good job of explaining fairly complex stuff in ways that non-computer-science students can understand.

Спасибо! Thank you!

Классный курс

Thanks!

Great course -- I learned a lot.

Parts of it were very heavy too, and not all of the lecture material was examined.

I like the course. I learned some nice ideas for parallel computations, not just Scala specific API.

To polish: sometime lectures and tasks contain many complicated but not significant details. And some important ideas are not emphasized. I had to filter the content carefully.

Cool course

Excellent course. There is no books about Scala that can teach Parallel Computing as well as this course. Code sample of exercises in lecture is supplied on GitHub. Excellent video quality, especially the overlay annotation by the teacher with nice hand drawing. The assignments are very interesting, showing real world concrete problems, add a nice application to the concepts we learnt in the course.

The 3rd part in the set of scala specialization courses falls into place. This course is an introduction to the challenges of big data sets and the parallel computing solutions available to tackle it.

An excellent course.

I liked it a lot!

very good, but need to focus a little bit on how to create tasks and threads

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.

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

Very good!

Unbelievable. This course is a must for those who are looking to work in depth with data parallel intensive applications like Spark and want to understand the mathematics underlying the parallel computing. Thank you very much Viktor and Aleksandar!

Great course with very entertaining exercises!

Excellent

best course

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