Excellent

good

The course itself is very nice. However, the level of participants seems to have a significant problem. Some participants are not used to reviewing. They often lack an appropriate background in reviewing others, and give a bad grade for the A++ level submissions (for instance, I had A++ for related courses at University of Washington, and I am hiring a CCRMA graduate at my lab).

Possibly this could be a challenge for MOOC, yet obviously peer-reviewing by participants doesn't work fine for some topics, especially when some participants have a problem in understanding lecture materials.

I think there should be an opportunity for a rebuttal and moderators should handle it.

Really well crafted course. Assignments were challenging, but they make for a great learning experience. Also great is that the lectures walk you through the theory, the application, and programming aspects of the topic. Recommended for anyone who wants to learn about the Fourier Transform and about audio processing.

The only "but" is that the staff doesn't participate in the forums anymore (the last messages from them are like 2 years old). This wasn't a big deal for me as I didn't really participate much, but it gives the feeling that the course is not well cared for anymore.

Assignments are easily doable without any application of real analysis skills. You guys should actually ask us to build certain parts of your models so that we achieve that level of skill.

A course which gives an overview of many transforms each with a theory, demonstrative and programming classes with quizzes but the assignments could have been a less difficulty level.

very good course but partially outdated code for the assignments which made it quite an effort to get everything running before you are actually able to work on the new topics

Excellent material for an interesting subject. The video lectures are very good. The course does need some updates for Python3 and associated libraries to stay current.

I have questions that I would like to ask, but it seems that I can't access discussion forms for some reason.

i will thanks to management, i really need to learn this course because my FYP is based on this course

I still do not understand Fourier Transform, why it is symmetric and one half of it is negative, why there are imaginary numbers, and what imaginary numbers mean. BUT I am more comfortable with it nonetheless and understand the general idea of going into Frequency components rather than Time components of signals.

The submission system for submitting assignments in most of the cases does not work.

Esta guay, merci loko

My problem with the course is the difficulty of establishing the programming environment. It appears that the packages delivered when you follow the written instructions don't necessarily work together. This leaves you with having to work out how to downgrade various packages which ultimately led me to a situation where I gave up on the course. It is difficult to make Python go away or to downgrade NUMPY. or discover independently that you needed a different C++ environment. The Forum was of no help. The course recommends that you use Ubuntu, a different operating system entirely from either Windows or OSX but I certainly don't want to reformat my computer's drive to try to successfully create a dual boot system just for this class.

it's a bit disappointing that I can't go ahead and try to complete as much as I can on my own time. the whole appeal of coursera is being able to it on my time, if I wanted to be bossed around by random people I'd sign up into a university. it's all automated anyway.

Impossible to normally work with programming assignments if you are a Windows user.

So disappointing. Wish you to move to python 3 and remove all C related source code.