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学生对 洛桑联邦理工学院 提供的 Functional Programming in Scala Capstone 的评价和反馈

505 个评分
86 条评论


In the final capstone project you will apply the skills you learned by building a large data-intensive application using real-world data. You will implement a complete application processing several gigabytes of data. This application will show interactive visualizations of the evolution of temperatures over time all over the world. The development of such an application will involve: — transforming data provided by weather stations into meaningful information like, for instance, the average temperature of each point of the globe over the last ten years ; — then, making images from this information by using spatial and linear interpolation techniques ; — finally, implementing how the user interface will react to users’ actions....



Sep 08, 2019

The capstone project has done a fantastic job of drilling in some of the important fundamentals taught in the rest of the courses. It is definitely worth taking if you've done the rest of the courses.


Jun 14, 2017

Good course, some of the assignments could have been more explicit with expectations in cases where specific implementation details matter but the forums were helpful in that regard anyways.


26 - Functional Programming in Scala Capstone 的 50 个评论(共 84 个)

创建者 Vital A

May 17, 2017

Very challenging. Great course/project/specialization

创建者 Mykola S

Sep 29, 2017

Great course and specialization! Many thanks!

创建者 John V M

Jun 26, 2017

This entire Scala series has been excellent.

创建者 Jon Z

Jul 05, 2017

Great course, I learned a lot. Thank you!

创建者 Eric L

Jun 02, 2017

Well structured. Interesting subject.

创建者 Andrew O

Apr 19, 2017

Thank you. The course is really nice.

创建者 Subodh C

Mar 28, 2019

Thanks for designing the course.

创建者 John S

Mar 12, 2019

Very fun and enjoyable project!

创建者 Andrew K

Apr 06, 2017

Thank you! Learned a lot!

创建者 재문 심

Jun 04, 2017

week 2,3 very hard......

创建者 Omar M A M

Feb 11, 2020

It was very practical.


Apr 17, 2020

Scala is super duper!

创建者 Sanjeev R

Aug 26, 2019

Nice hands on Course

创建者 Jakub T m G

Jun 27, 2017

Great Hands on

创建者 Henoc M

Sep 25, 2017

Great course!

创建者 Carlos L L

Jun 23, 2017


创建者 Ronald C M

Jun 26, 2019

The best


Aug 07, 2017


创建者 Zhu L

Sep 04, 2017

I've read a lot of reviews before me and see that they mentioned several cons: off-topic programming assignment, imbalanced difficulty distribution and instable grader, vague feedback information.

For the few points mentioned above, I'd say I've experienced all of them indeed, it's true.

But for a project that's to be called "real", you're gonna have to adapt yourself to production environment and work like a true professional. That means you gotta tolerate faulty situations and ambiguous specifications. (Quite often, you don't know WTF they want, but you'll eventually come around and hand in a piece of code that runs smoothly with the right output.) It's something you deal with every day if you work in a tech firm as an SDE, RSDE, etc..

In terms of this kind of blank-filling programming assignments, it's just fine for me. Some argue that they should allow us to write everything from scratch and judge the grades by the output, allowing more flexibility for the developemt process. I think the skeleton code is simple enough, leaving enough freedom for you to mess around. If you allow me to start from scratch, I'm gonna finish it with C++ or Python.

The one thing I say they should really fix is the instability of the grader. Random failures and insufferable waitings are the two things that take away most of the fun. The programming assignment itself wasn't so hard, but was made unnecessarily much harder by these two factors.

For the sake of the previous four courses, I can spare 4 stars. But I understand those 1 stars.

创建者 Francisco J D d S F G

May 24, 2018

I really enjoyed this course - it goes from the very basics of Spark and tests your ability regarding Scala knowledge.

The capstone project is really well structured, but at times it felt like the instructors could give more information concerning some definitions around the project, i.e. how all of the case classes from the models file interconnect or relate to each other. By the end of the project it would be helpful explaining how the Layer class was actually structured as well.

In reality my opinion of this course is 4.5 out of 5 - I think the instructors made an admirable job trying to convey most of specialization concepts into the capstone, so congratulations :-). If not for some of the aspects above, I would rate it 5/5.

创建者 Edem N

Jul 29, 2019

A good project broken down into stages that can be independently tested to produce a final product that is both complex and interesting. The forum didn't have any of the TA's responding during my period and as such mean't that any concerns that I had were not being addressed. I had particular concerns with the grader input data where I had issues with its output. Apart from that a great way to put all the skills of the Scala Specialization into use.

创建者 Niels P

Jul 24, 2017

Excellent capstone that lets you test your knowledge of Scala in a (semi)real project environment. Though i found that the main difficulty for me was in understanding the context of geographical computations. Making it difficult to find if not passing test was due to error in my code or in my understanding of geographical context.

创建者 Rob S

Nov 26, 2018

Interesting project and fun to work on.

As with many of the other courses, could benefit from providing a few tests. Even after writing property-based tests using ScalaCheck there were some grader results that I was unable to reproduce.

In the end, still worth the time and effort invested.

创建者 Alan A C

Nov 16, 2019

The course is great, but if you pass all tests, in Week 4 you can get the certificate. The project is linked to Week 1, which is weird because doesn't match well with the schedule set in Coursera.

创建者 Rodolfo N P

Aug 09, 2018

For a lot of sections one couldn't really use Spark, said sections were restricted to translating Spark datastructures to Scala collections and working with those.