Course is very informative, but has a few "formatting" issues:

Fix references to another lectures. Sometimes they are talking about lectures that don't even exist

In one of the first weeks it was proved that Try is not a monad. And later in the last week video other lecturer call it a monad. It is not anything huge, but makes feeling that content a bit inaccurate.

Week 4 / Combinators on Future 1/2 / Future recap - flatMap result type is incorrect

The course material and assignments did not quite match. Moreover, the test assignment was like something for completely another course. Not even a word about possible ways to implement test assignment methods. Had to browse around course forums and browse around the Internet for additional materials about Scala and algorithms. Although in the end got 10/10 points - no idea whether same result could be achieved in some even more elegant way.

The content is excellent (as always), however the form leaves a bit to be desired. The video quality kept reverting to "low", and even on "high", the resolution was nothing to be proud of in 2016 (or at any time during this century). Also, the instructors appeared to make references to lectures that are not a part of this edition of the course. But these are small issues – the course is definitely worth taking, small imperfections or not.

I really liked how the assignments had types already specified, so that you would just add the finishing pieces in puzzle, and reveal solution Odersky had intended you to learn - because without these aids there would be endless solutions that could be excercised, and you might not learn the concept that was being taught.

It was a bit confusing though to see that the lecturers were being toggled - thus in some places context was lost.

A good introduction to design of more complex Scala programs in a functional manner.

Left a few things to be desired some places, such as: less legacy from the previous "reactive programming in scala" course; a discussion of immutable options for functional reactive programming; and a demonstration of an implicits-based implementation of Functional Reactive Programming, as was mentioned.

For the most part a great course though.

Great, informative course. My only issue is that some of the programming assignments seemed to focus on one specific portion of the week's material rather than testing bits of knowledge from across the week. This was especially pronounced in the week 3 assignment, which was more about learning a testing framework than anything. Still, overall it's a great course that's worth taking. I probably would give it 4.5/5 if I could

Apart from week 4, I found all classes very instructive and relevant. The video's from Erik Meijer in week 4 seemed a bit artificial. The exercise in week 3 was not really related to the classes other than that we learned in the course that there is a way to proove something and then we needed to. I could not really understand why or when I would apply that knowledge.

The course was nice but not structured very good, especially week 4. From time to time you have a feeling that this course is more like a compilation of lectures made for other courses with similar topic. Especially confusing are moments when during the lecture author references previous materials you expected to know from lectures you've never heard. That's strange.

Just like the first course in the specialization this one teaches valuable insights into quite a lot of concepts. However more than the first one you realize in this course that initially the entire specialization was taught as one coherent course. In this course this sometimes show and confused me a bit. Additionally there where almost no exercises in the lectures.

The assignments seemed somewhat easy compared to curriculum which became more difficult. I would say that the assignments from the first course were more challenging then those from the second. I also think very little attention was paid to new monad constructs like Try, Validate and scala's reactive library, but I guess the later was left for the third course.

The course covers a range of interesting and important topics and the quality of lectures and exercises is pretty high.

However, it is organized in a less coherent way than the first course in the specialization. Exercises do not match their weeks, lecturer suddenly changes in Week 4 and delivers something not clearly following from the previous lectures.

To me every mooc by Martin Odersky is pure gold. I guess this course underwent a couple of "refactorings" because I didn't have the impression that the topics (and sometimes the assignments) throughout the 4 weeks followed a clear path. This is just my impression though, I might be wrong. Anyway great mooc and lots of fun, I can totally recommend it!

Prof Martin's lectures are great.. however I have trouble following the other lecturer Erik. He sounds out of breath all the time and the content is not as well organized & well explained as Prof Martin's. I ended up skipping his lectures (which is sad, as his lectures are about Scala Future which imo is a difficult but important topic).

A bit lost sometimes. The course was remodeled after previous ones obviously and it seems a little chaotic sometimes. Not sure to get all the message that was intended to be passed. Sometimes the exercice are way simpler than the session contents. Still I've enjoyed (almost) every moment of the course and I am eager to go on! Thanks!

Thanks for this course!

Only one times i was very confused - when i saw that in the last assignment i should use Vars and Signals, not Features and Promises - that's, i think, a little bit far from as async code in real projects, which contain promises, features, actors etc.

But anyway, thanks for all of that, it was useful for me.

Course material was not difficult, but the homeworks weren't much correlated with it. If you attend other IT online courses you will notice that this one is a little old fashioned. I was also more interested in real-life usages than how it should be implemented. Regardless the cons course was informative and somehow useful.

Provides an interesting theoretical bird view on: monads & its relation to for expressions, streams & lazy evaluation, elegant examples of mixing mutable and immutable data-structures for stateful programs, and finally signals for event management. The exercises are fun ;-) and illustrative although not too challenging.

Very good course but not as good as the first one :

Try monads are never introduced but are referenced by one of the lecturer.

Signal DP for mutable state encapsulation is introduced, but it's benefits are unclear until the research paper is read.

Exercises are still very carefully designed. Thanks for the great contents !

The course material about the futures, although interesting should have been developed further and at least with an extra week in the course (and have an assignment associated to it). As things are, week 4 didn't flow as well as the previous ones, or any of the weeks from the course "Functional programming in Scala".

The only issue I have is with the "Latency as an effect" part of the course, it seemed reasonable but it assumed that you knew many concepts that are not shown, and also it doesn't have as many practical examples as other sections. Nevertheless, the main aspect of the course, functional design, was explained greatly.

Offers outstanding depth in parallel concepts and the weekly programming samples are really interesting and fun. Some good community discussion but not a lot of participation by instructors. The theoretical material is covered very quickly and there are not a lot of practice exercises to master those concepts.

A few last lectures (Future, Try) lack pretext, or at least appear somewhat out of order, unless one is familiar with the topic. Generally, higher score (10 out of 10, or 9 out of 10) could have been made a little harder to get. Adding a couple of extra optional problems for one point each could be a good idea.

Theory is great but recorded messy sometimes. I looks like it was recorded for something else and then adapted for this course. And I would like to have some more explanation not important topic like Monads, etc

I also would like to have more practice on each of important topic to really fit it in your mind

Martin is smart and knowledgeable. This course really helped me on Scala Programming. Personally, I'd like something more on algebraic design lectures and code assignments such as monoid, functors, applicative functors and many kinds of monads. Anyway, it's my 1st experience on coursera, thanks a lot : )

Very interesting course. You can learn the basics about functional reactive programming and get to know about Signals and Futures. The assignments are not as difficult as the ones in the previous course and you can see that there is a lot of work to provide the infrastructure needed for those exercises.