Alberto completed this course, spending 14 hours a week on it and found the course difficulty to be hard.
This is an applied course mainly based on an audio signal processing package provided to the students.
Main part of the course progresses gradually from sound analysis and synthesis with time-invariant Fourier models (DFT) to time-variant Fourier models (STFT) and finally harmonic+stochastic models, as well as sound transformations derived from each of those models.
There is a combination of python programming assignments, some of them peer-assessed, and sound collections management.
In my opinion, previous DSP knowledge is convenient, as well as programming experience, though not necessarily in python.