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.
von Artur R•
May 24, 2018
This is one of the most dense and solid courses on Coursera and I really enjoyed tackling it
Aug 15, 2016
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.
Jan 22, 2017
Class was great but the last week's homework was incredibly difficult!
von Gao Y•
Feb 14, 2017
von Evgeniy K•
Feb 16, 2017
Good overall presentation of core algorithms and ideas
von Alexandr M•
May 30, 2017
Problems of data structures for parallel computation are explained very well in this course.
Feb 21, 2017
very good course. It will be better if more reading material could be offered. The content in the lecture is a little bit hard to understand.
von Zhu L•
Jul 18, 2017
Basically the lecture is more focused on the theoretical side of parallel programming, while the programming assignment on the more hands-on problem solving aspects.
I like that. Lectures shouldn't be too lengthy, the research and thinking are best left to the students themselves.
Some complain the programming assignments (especially the Barnes-Hut simulation) are too much trouble, I think it's OK.
Actually I wouldn't mind if it become even harder.
One suggestion, though. I think it would be helpful if the course can provide a summary of programming tips for Scala.
After all, many people come here with a mindset in imperative or OO programming. The conversion to FP can be a bit uneasy.
von Boris R•
May 10, 2017
Neat , fun, easy going, course
von Bennie K•
Feb 13, 2018
Very good, insightfull
von Janis R•
Jun 18, 2016
Week 2 assignment was very interesting, thanks. Week 4 assignment was extremely hard to debug. Could you perhaps add more unit tests to BarnesHutSite?
Jul 29, 2016
This is very interesting course that contains a lot of useful information related to parallel programming. Assignments are challenging enough and it is also interesting to tweak some code in assignments even after submitting.
von Eric L•
Aug 14, 2016
A worthwhile course. I enjoyed the lectures a lot. Really good grounding on principles which can be applied in other languages/platforms in addition to Scala.
von Laerti P•
Apr 25, 2017
von DAVID J A•
Feb 12, 2018
von Seongsan K•
Mar 03, 2018
I really loved how well organized the course was and how well the professors explain the concepts.
Apr 30, 2019
Perfect! Learning Parallel Programming, I can learn more about Spark and Flink. Thanks
von Joël V•
Apr 22, 2019
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.
von Sviridenko K•
Mar 26, 2019
Amazing practice assignments! It was very interesting to solve them.
von Artem B•
May 23, 2019
Great course with very entertaining exercises!
von Leonardo L e C•
Jun 21, 2019
von Santiago A•
Jul 30, 2019
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!
von G. U M•
Aug 25, 2019
von Sanjeev R•
Aug 26, 2019
von Rohan V•
Nov 26, 2019
More emphasis on Parallel Data Structures is needed, course is relatively simple as compared to previous courses from same specialisation