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.
por Aleh V•
Mar 03, 2017
Wrongly assumes that it'll be easier for students to jump from the conventional 'parallel' java paradigms and constructs to parallel streams.
Not a good job on explaining why. It'll require from students some efforts to create the right picture in their minds.
Exercises are great and partially make up for the above mentioned shortcomings.
Some example code is very bad and goes against all the 'good' things being taught by Martin in the first course of the specialization.
por Valerio M•
Nov 27, 2016
Interesting course, but far too short. It ends up giving a quick introduction to some of the aspects of parallel programming. I enjoyed the assignments, apart from last one where the difficulty was more about the context of the example than any parallel programming aspects. That example, extended, could be a good capstone project, but I think it was not appropriate as a course assignment. I prefer courses that follow a book, and this course didn't.
por 家伟 陈•
Dec 21, 2017
Not friendly with beginners in Scala. You will be presented with tons of Scala code with minimal detailing on algorithms. Obviously the lecture expects you to be quite familiar with Java and Scala. And the lecture is not very informative either (at least for green hands in Scala). I found that the best way that works for me is to pause at each slide, study the code, and then go on to see what the lecture has to say.
por Sangam K•
Sep 30, 2017
I didn't like the last assignment. I didn't think there was much to learn there. I would've liked to implement more splitters and combiners. I did like the first 3 assignments very much. The lectures were pretty good, but I found myself loving some, and hating the others. I would've preferred more practical applications over theory. I think the lectures are un-necessarily math heavy.
por Hadrien H•
Dec 20, 2016
Content is good, less well polished than Odersky's courses though. Painful exercises with a lot of time spent on understanding the instructions instead of focusing on learning parallelism methods (especially the final assignment). Overall happy to have learnt from this, but clarity of assignments should be improved.
por Andy D•
Jan 14, 2017
In my view, this course was nowhere near as good as the earlier courses by Prof Odersky. The materials and pacing seemed all over the place - in some cases excessive time was spent going through quite trivial concepts, while elsewhere the course seemed quite rushed when looking at much more complicated ideas.
por Shad A•
Apr 02, 2017
This course could have been better in my opinion, if we could have exercise that would deal with the concepts in more detail. I felt myself involved deeply in understanding the problem statement, rather than practicing the concepts explained in the course.
por Federico L•
Aug 05, 2017
Good content. Very basic overview of parallel programming algorithms and data structures in scala. Course feel a little bit hacked together although not as bad as the Functional Program Design one.
Course should be more in depth.
por masaaki f•
Mar 31, 2017
Online video is OK. But assignments are not much related to parallel programming specific issues. One case, this is my opinion but it's nice if students learn how scala solves "The dining philosophers" issue.
por Pavel O•
Oct 02, 2016
Good course. But I have a strong feeling that would be nice to have more focus on the practice. Some lecture not really much with the results of assignments. Good course anyway. Pavel
por Rudolf Z•
Sep 20, 2017
Most of assignments are good. They show applications of parallel programming very well. Some lectures are booring? but important. For instance, lectures about assotiativity.
por Shriraj B•
Mar 24, 2020
The content presented definitely is good, but in the assignment the things used could be explained in the lectures for better understanding of learners.
por Luis V•
Nov 10, 2017
Good course and good level on the assignments but needs a lot of improvement on the lectures, specially in the two last weeks.
por Joseph K•
Jul 31, 2017
Lectures are not easy to understand. It almost feels like they plucked various sections from a longer course.
por Igor M•
Oct 24, 2017
There are not clear test errors, that points to another place in code where mistake is placed.
por Gabriel G•
Oct 31, 2016
Deep lectures, but exercises where more about complex problems than about parallel programing
por Igor W•
Jun 12, 2017
Too much imperative technics in this "functional" parallel programming course.
por Igor C•
Sep 29, 2016
The course if good, but i believe the content should be more didactic.
por Cedric D B•
Aug 08, 2017
Good but too theoretical and not very didactic.
por Evgenii S•
Jun 24, 2018
For now, the worst course in Specialization.
por Lestar C•
Jun 14, 2017
Not enough Scala. Akka version was better :(
por Guomao X•
Aug 17, 2016
should contain more details
Nov 23, 2018
exercise are too heavy
por Marcin H•
Feb 27, 2020
I must admit I am very disappointed with this course.
First of all - provided unit tests are inadequate. To say the least. They do not cover all functionalities that are to be implemented. Of course I could write my own unit tests. If I only knew what I was supposed to do... Yep, a few times my own tests passed but tested functionality was turned down by coursera tests with a perfect message like "assertion failed". Great, I know this. But I want to know what exactly failed without having to guess and reuploading solution dozens of times. I wasn't able to max out the last assignment (I did 9/10) due to another obscure assertion message - "body not found in right sector" and have no idea what was wrong and which body were not in which sector. Message that something went wrong without any details is like no message at all. Implemented functionality is rather straightforward so I suspect something went wrong in previously implemented methods which were accepted by coursera. Moreover I was able to pass one method implementation just by simply filling the whole matrix with one specific value which proves rather poor quality of the tests.
Second thing - this is very academic course. Very. I doubt anyone will find it useful in real life unless you are a student or maybe a teacher.
Generally I feel like I wasted my time here. Sorry.
UPDATE: I am a completionist so I finally managed to max the last assignement out with some guessing and of course like I expected I had a bug in some old method (poor coursera tests had accepted it) but I am still dissapointed and can't imagine why I would need this whole stuff in the real life. What I learnt here is guessing and "hacking" coursera tests.
por Anton K•
Aug 05, 2016
The course presents two core approaches to parallel programming - task and data parallelism. While these concepts are really useful, I expected more details on, for example, how to implement the _parallel_ construct used throughout the lectures. The materials were good and I can use some of the ideas straight after the lectures in my everyday coding, but the assignments were really slightly related to the topic.
Barnes Hut simulation assignment. I'd say it has nothing in common with parallel programming in Scala. It looks like the authors looked for some real-life example or use case for Combiners and this simulation model looked nice. But, really, does any developer not working in university would ever use it? It's completely impractical, the most of the time I spent reading the description of simulation model, but the coding itself was just playing with 2D coordinates and some basic recursion. I'd expect something more practical, e.g. implementing simplified form of Hadoop map-reduce or something like that so I can use it after the course. But Barnes-Hut is too specific and is pretty far from everyday problems developers encounter.